Are you an entrepreneur who wishes to cash in on opportunities the Canadian market offers?

This article is sure to help you out. Starting a business is not an easy feat. It requires in-depth market research, relevant expertise, necessary funds, and a well-planned approach. But, a good business idea is a foremost prerequisite for a successful business.

A good business idea aims to solve the potential consumers’ problems while having a sustainable profit-generating plan. As an entrepreneur looking to start a business in Canada, you must understand the market situation, tap into the opportunities, and craft a strategy to dodge the threats.

This blog article discusses a few best businesses to start in Canada in 2024. Let’s dive right in.

Most profitable businesses in Canada

Profit maximization and wealth maximization are the two most important goals of any entrepreneurial venture. While a business may not be profitable initially, it must aim for long-term profits.

Even better, you can start your business in a sector already making profits. It ensures that there is a demand for your services or products, and you would take less time to expand your business.

Here are a few profitable businesses in Canada:

1. Real estate

The real estate sales and brokerage industry is closely linked with Canadian real estate prices and fluctuations. While high property prices may be a deterrent for the buyers, the real estate businesses can do well out of them. Why? Because the industry revenue typically rises when property rates and the number of transactions increase. It is due to the fact that real estate agents earn on a commission basis.

The expansion of this sector is increasing, and as indicated by Research and Markets, the worldwide real estate market saw a rise from $3694.47 billion in 2022 to $3976.18 billion in 2023, demonstrating a compound annual growth rate (CAGR) of 7.6%. Moreover, anticipated at a compound annual growth rate (CAGR) of 7.0%, the real estate market is projected to reach $5209.84 billion in 2027.

You can take advantage of this high profitability and step in with your real estate business. Further, in this digital era, nothing is non-accessible on phones. You can develop a real estate app to provide your services and attract a broader customer base conveniently.

2. Freight transportation

Freight transportation is a profitable business to start in Canada. It is because of an abundance of goods in Canada. Many people are willing to pay good money for goods they need or want. It also means that many people have money to spend on other things besides buying food and clothing. These people will likely be willing to pay good money for items that must be transported across the country or worldwide, like cars or computers.

As per Mordor Intelligence, the global Freight and Logistics Market is projected to be valued at 5.73 trillion USD in 2023, with an anticipated growth to 7.54 trillion USD by 2029. This represents a steady compound annual growth rate (CAGR) of 4.70% over the forecast period from 2023 to 2029. Specifically, the Canada Freight and Logistics Market is estimated at 102.57 billion USD in 2023, set to reach 135.79 billion USD by 2029, reflecting a CAGR of 4.79% during the same forecast period.

If you’re considering starting a freight transportation company in Canada, there are some essential things you need to know before getting started.

• First, it’s crucial to determine what kind of vehicle you’ll be using and when it will be available. 
• You’ll also need to figure out how much space your vehicle will require and where you’ll find it (either rented or owned).
• Next, decide if your business will be based on one truck or multiple trucks; this will determine what equipment is necessary for maintaining and operating them (tires, brakes, etc.).
• Finally, consider whether you’ll be taking your business online. An online business will likely expand faster than offline because of its broader reach.

3. Waste management

The accumulation of waste is an inescapable byproduct of a rising economy. As firms expand, they use more paper, discard outdated technological gadgets in favor of newer models, add extra office spaces leading to the accumulation of construction debris, and so on. It’s undesirable for the environment, but fortunately, more businesses are acknowledging their responsibility to create a sustainable future for all people and taking proactive actions to reduce trash daily.

Waste management is a profitable business to start in Canada because of the country’s low labor costs, high disposable income, and high population density. This combination allows waste management companies to generate profits without spending much on labor. Additionally, the country has a large number of people willing to pay for recycled goods, making it profitable for waste management companies to sell them at a high price.

The estimated size of the global waste management market reached USD 1052.58 billion in 2022 and is projected to reach approximately USD 1985.06 billion by 2032. This signifies an expected compound annual growth rate (CAGR) of 6.60% from 2023 to 2032.

In Canada, the waste management sector is a significant industry, with key statistics for 2023 underscoring its importance. In 2022, the global waste management market reached a value of USD 1,293.70 billion and is set to grow at a steady compound annual growth rate (CAGR) of 5.4% from 2023 to 2030. Additionally, the waste management market in the United States and Canada combined amounted to an estimated $578.18 billion in 2022, showing a notable 9.6% expected growth by 2023. The market’s revenue is projected to steadily increase, with a 5.4% CAGR from 2023 to 2030, reaching a substantial USD 1,966.19 billion by 2030. These figures emphasize the significant and promising role of the waste management industry in the region.

4. Financial services

Financial services are one of the best businesses to start in Canada because it offers a wide range of growth opportunities.

You can choose from many different financial services, ranging from small-scale loans to high-end investment opportunities. The market is also very diverse and constantly changing, so something new and exciting is always happening. That makes it a great time to start a business in Canada.

Canada’s current account surpluses have been a significant factor that has helped this sector grow. The Canadian government has used its surplus funds to invest in Canadian banks through bond purchases, which has attracted foreign investors to invest in Canadian banks and other financial institutions across the country.

Another way to earn through this sector is to provide financial consulting services. If you have expertise and skills in accounting, taxation, or financial management, you can start a business selling your knowledge as human capital. If you take the digital route to provide your services, you can save on establishment costs and other fixed costs.

Did you know that the Canadian financial services sector plays a crucial role, contributing approximately $82 billion to the country’s GDP and employing around 408,000 individuals across 17,000 financial services firms? For companies located in Toronto, Ontario—the epicenter of Canada’s financial services industry—being situated here means being right at the heart of the action.

5. Fitness services

Fitness services is a profitable business to start in Canada. The reason is that it is a growing industry, and many people need it. The Health & Fitness market in Canada recorded a total revenue of US$106.70 million in 2022 and has grown to a valuation of $4.7 billion in 2023, as reported by industry tracker IBISworld. Projections indicate that the total revenue is poised to exhibit an annual growth rate (CAGR 2022-2027) of 10.56%, leading to an anticipated market volume of US$161.50 million by 2027.

In 2016, the Canadian Fitness Industry Association (CFIA) reported that the demand for fitness equipment grew by 3% in the previous year. In addition, they said that 24% of Canadians say they would like to go to the gym more often but don’t have access to one nearby.

Furthermore, when examining the figures, it is noteworthy that 37% of Canadians engage in physical activity for 30-59 minutes daily, and an additional 8% report being active for over two hours each day. On average, residents of Quebec are the least active, with 64% of the province’s population engaging in less than 30 minutes of exercise per day.

It means that many people need a place to exercise and be healthy. It also means that many businesses can offer these services without spending too much money on equipment or hiring employees.

One way to provide fitness services without investing in a studio or equipment is to launch a fitness application. You can include features such as multiple exercise options, calorie tracking, personalized diet plans, etc., in your fitness app.

Upcoming lucrative businesses in Canada

Apart from the businesses discussed above, several other businesses are taking advantage of the current opportunities. These businesses utilize the latest technology to make the most of every chance.

Here are some of the upcoming lucrative businesses in Canada:

1. Blockchain supply chain management

Blockchain supply chain management is an excellent business to start in Canada because it is a growing market providing vast growth and innovation opportunities. The Canadian government has recognized blockchain as essential technology, and several organizations are working to develop ways to integrate blockchain into the country’s supply chain management systems.

Moreover, blockchain helps reduce costs and fraud and increases transparency throughout the supply chain process. The technology has been proven effective in reducing costs in processing shipments and tracking products as they move through different stages within a company’s supply chain. It also helps companies save money on intermediaries such as couriers or freight forwarders by cutting out these middlemen from the equation altogether.

This means they do not need to take payment from clients as they only receive payment once the shipment reaches its destination. It means they don’t get paid any commission fees, which can add up over time if you’re doing business with multiple clients at once!

2. Cab booking app

Canada is a large country where convenient and affordable transportation is a necessity. Buying a vehicle may not be feasible for many citizens owing to the high upfront costs and maintenance. Moreover, a higher number of vehicles on the roads will ultimately lead to more traffic and a higher commutation time. Thus, many people rely on cabs for their daily travel needs.

You can take advantage of this opportunity and start your cab booking app business. The cab booking app will take care of your customers’ mobility needs. With features such as real-time tracking, in-app map, in-app communication, etc., you can attract users to your app. Although a few players are already in the market, you can get ahead with a unique, robust, and user-friendly app.

3. Cannabis delivery app

Cannabis is legal for both recreational and medical use in Canada. A person must be at least eighteen years old to purchase and consume marijuana in the country. More and more people are willing to get easy and convenient access to cannabis, and cannabis delivery apps can help these people fulfill this demand. These apps connect the customers to the local cannabis dispensaries and help them get their orders delivered to their doorsteps.

If you are looking to start a business in Canada, a cannabis app business can be profitable for you. However, before starting a cannabis app business, you must be aware of the Canadian laws and regulations governing the cannabis trade.

Anyone who wants to engage in cannabis-related activities must obtain a permit from Health Canada. For instance, a license is mandatory if you wish to cultivate cannabis, manufacture cannabis products, or sell cannabis for medical purposes.

Commercial cannabis licenses must be obtained for:

• Micro-cultivation, nursery, and standard cultivation
• Micro-processing and standard processing
• Sale for medical purposes

4. EV charging station finder app

The electric vehicle (EV) market in Canada is steadily growing. According to PwC, the country is targeting a 10% share of EVs in new vehicle sales by 2025, 40% by 2030, and 100% by 2040. This inclination towards electric vehicles also requires the development of more EV charging stations across the country.

While some entrepreneurs might focus on the direct demand and invest heavily in building charging stations, you can benefit from the indirect demand and launch an EV charging station finder app. In a large country like Canada, looking for a charging station for your vehicle can be hectic. You can ease this process for the citizens through your EV charging station finder app.

Thus, your app would help users locate nearby charging stations, find out the charging capacity of the station, reach there using the in-app map, and provide various other features.

5. Renewable energy consultancy

As of 2023, the market size of the Renewable Power industry in Canada is projected to be $39.5 billion, an increase of 1.07% from 2022. The share of Canada’s energy portfolio derived from renewables is projected to rise from about 61.5% in 2010 to 71.2% in 2023.
According to the report, the average residential cost of electricity in Canada is $0.192 per kilowatt-hour (kWh). This rate encompasses both fixed and variable costs and is calculated based on an average monthly consumption of 1,000 kWh. The higher electricity costs are making people look for energy alternatives. Renewable energy sources are a great alternative to expensive and environmentally harmful energy sources.

While these energy alternatives are appealing, people need to know which renewable power to use and when. If you have knowledge and expertise in this area, you can provide consultancy services to guide your customers on the types and applicability of renewable energy.

Is Canada a good location to start a business?

Short answer: Yes. Long answer: Definitely yes.

Canada is a great place to launch a business. Said that, various cities, such as Toronto, Vancouver, Montreal, and Ottawa, are ideal for entrepreneurs to launch their startups. Toronto is known explicitly for its robust startup community with incubators, groups, and a large talent pool.

Canada serves a lot of ideal factors for starting a business:

• Investor protection
• Favorable tax rates
• Credit access
• Property registration
• Insolvency resolution

How Idea Usher Can Help?

Our team at Idea Usher can significantly aid businesses by leveraging its expertise in app and software development. For entrepreneurs in real estate, our tailored solutions involve creating feature-rich real estate apps, enhancing customer engagement, and streamlining transactions. In the freight transportation sector, our innovative applications optimize operations, offering real-time tracking and improving overall efficiency. In waste management, we develop applications to facilitate waste reduction, recycling, and disposal, aligning businesses with sustainability goals.

For financial services, we design seamless mobile banking solutions and financial consulting apps, providing accessible and user-friendly services. In the fitness industry, our fitness applications offer workout routines, calorie tracking, and personalized diet plans, promoting healthy lifestyles. Additionally, we excel in developing solutions for emerging businesses like blockchain supply chain management, cab booking, cannabis delivery, EV charging stations, and renewable energy consultancy, ensuring businesses stay at the forefront of technological advancements. Contact us to catapult your business to newer heights using technology.

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Frequently asked questions

Here are some exciting FAQs about the best businesses to start in Canada:

Which Canadian business is the most profitable?

Real estate, freight transportation, waste management, financial services, and fitness services are some of the most profitable industries in Canada.

What businesses are in high demand in Canada?

Several businesses are rapidly gaining popularity and are likely to grow more in the coming years. These businesses include blockchain supply chain management, cab booking apps, cannabis delivery apps, EV charging station finder apps, renewable energy consultancy businesses, etc.

Is Canada good for small businesses?

Canada is a favorable spot for launching a small business. Its tax rates, credit accessibility, property registration, and other factors are great incentives for small entrepreneurs.

The post Best businesses to start in Canada in 2025 appeared first on Idea Usher.

This approach not only helps them refine their marketing but also proves that every dollar spent is working harder for them, giving them a clearer picture of what’s actually driving results. It’s all about cutting through the noise and making marketing decisions that are backed by real, actionable data.

Over the years, we’ve supported numerous businesses in leveraging quantitative marketing to precisely measure customer engagement, campaign performance, and ROI. IdeaUsher’s expertise has been pivotal in creating automated solutions that continuously track and optimize marketing efforts in real-time. Through this blog, we aim to share our insights, providing you with the tools and strategies to successfully integrate these approaches into your own business. Let’s dive in!

Key Market Takeaways for Quantitative Marketing

According to GrandViewResearch, the marketing technology industry is booming, expected to grow from $465 billion in 2024 to over $1.3 trillion by 2030. This growth reflects the rising role of quantitative marketing, where data-driven strategies are helping businesses stay competitive in an increasingly digital world. Advanced tools like analytics, data mining, and algorithmic decision-making are now essential for refining marketing tactics and achieving better outcomes.

Source: GrandViewResearch

At the core of this shift is the ability to use data to make smarter decisions. Companies can now target the right audiences, optimize their pricing strategies, and create personalized campaigns based on solid evidence. The ability to measure and track results in real-time gives businesses the power to adapt quickly, ensuring their marketing dollars are well spent.

Major global brands, such as McDonald’s, Coca-Cola, and Amazon, are already leveraging quantitative marketing to their advantage. McDonald’s, for instance, uses customer transaction data to improve its product offerings and marketing campaigns. Coca-Cola employs a mix of research methods, from taste tests to social media analysis, to anticipate consumer needs and preferences, showcasing how critical data is in shaping the future of marketing.

What is quantitative marketing?

Quantitative Marketing is a data-driven approach that relies on numerical data, statistical analysis, and mathematical models to assess, manage, and enhance marketing performance. The focus of this methodology is on objectivity, replacing subjective opinions with hard evidence to:

• Accurately measure the impact of marketing initiatives.
• Gain insights into customer behavior at scale.
• Forecast future trends and outcomes.
• Optimize marketing campaigns in real-time for maximum efficiency.

Essentially, Quantitative Marketing is the scientific side of marketing, grounded in facts and figures.

Quantitative vs. Qualitative Marketing

Rather than choosing between quantitative and qualitative methods, the most successful strategies combine both approaches. Think of them as complementary perspectives that provide a more complete understanding of the customer.

How They Work Together:

Qualitative research generates hypotheses, such as customer interviews suggesting a new feature is needed. Quantitative research then tests these hypotheses on a larger scale, validating if, for example, the new feature increases conversion rates. One method uncovers the why, and the other confirms the what.

Key Types of Quantitative Marketing in Practice

Quantitative marketing isn’t just one technique; it’s a strategic framework applied across various marketing channels.

Market Research Surveys & Questionnaires

Market research surveys use closed-ended questions to collect numerical data, allowing businesses to gain insights on various metrics like customer satisfaction or brand awareness. This approach helps quantify attitudes, opinions, and preferences, making it easier to assess market trends and evaluate potential product demand in different regions.

Web & Behavioral Analytics

Web and behavioral analytics involve tracking user interactions with digital platforms, such as websites or apps. This data reveals patterns in user behavior, such as drop-off points during checkout. By analyzing these trends, marketers can identify friction areas in the user experience, leading to optimizations that improve conversion rates and customer retention.

A/B and Multivariate Testing

A/B and multivariate testing are experimental methods where different versions of a marketing asset are tested to see which performs better based on specific metrics, such as click-through rates or conversions. For example, testing different email subject lines can reveal which generates higher engagement, helping marketers refine their campaigns for optimal performance.

CRM & Sales Pipeline Analysis

CRM and sales pipeline analysis involves using data from customer management systems to evaluate the performance of sales funnels, such as conversion rates and lead velocity. This approach enables businesses to identify which channels are most effective in driving sales, allowing for better resource allocation, like shifting budget toward high-performing webinar-generated leads.

How Quantitative Marketing Works?

Quantitative marketing works by using data to guide decisions and optimize campaigns. It starts with integrating data from different sources, then experiments are run to test hypotheses and measure results. The goal is to use insights from data to predict future trends, improve strategies, and drive revenue growth.

1. Data Integration & Attribution

Modern businesses rely on a variety of platforms like CRMs (Salesforce), advertising tools (Google Ads, LinkedIn), and website analytics (GA4). However, when these systems operate in isolation, they create data silos, which prevent a clear view of the customer journey.

The Solution: Unified Data & Multi-Touch Attribution

The key to overcoming this challenge is integrating data from all these systems into one central repository (e.g., Google BigQuery, Snowflake). This allows businesses to implement Multi-Touch Attribution (MTA), where each touchpoint in the customer journey—whether it’s an ad, email, or blog post—is assigned a value. This reveals the true ROI of every marketing effort, empowering companies to allocate budgets more efficiently and create personalized customer experiences.

2. Experimentation & Hypothesis Testing

Gone are the days of launching campaigns based on gut feelings. In quantitative marketing, every change to a campaign is treated as an experiment to be tested and validated.

• A/B Testing: Compares two versions of a single element (e.g., headline, call-to-action button).
• Multivariate Testing: Examines the effect of several variables at once, such as a combination of headline, image, and button color.

Designing a Hypothesis-Driven Experiment

In quantitative marketing, every experiment begins with a hypothesis. 

For example:

“By changing the CTA button from ‘Learn More’ to ‘Get a Free Demo,’ we expect to increase conversion rates by 10% because it is more action-oriented and directly communicates value.”

The process also involves identifying the key performance indicators (KPIs) and ensuring statistical rigor. A robust experiment includes setting the right sample size, determining the p-value for significance, and ensuring results are reliable.

3. Predictive Modeling & Customer Segmentation

Predictive modeling allows marketers to look beyond historical data to forecast future outcomes. Using techniques like logistic regression, random forests, and gradient boosting, companies can predict customer behaviors like churn or identify high-value customer segments.

• Churn Prediction: By analyzing patterns of past customers who left, predictive models can estimate the likelihood that current customers will churn. This allows marketers to take proactive steps to retain high-risk customers.
• Customer Lifetime Value (CLV) Prediction: Predicts the total revenue a customer will generate over their lifetime. This insight helps marketers target high-value customers more effectively.

The Application for Enterprises

With predictive models, businesses can create customer segments like “High-CLV, At-Risk of Churn” and tailor retention campaigns specifically for them, maximizing customer lifetime value and reducing churn.

4. The Role of AI/ML: Moving Beyond Manual Testing

While A/B testing is valuable, it’s often slow and limited in scope. AI and machine learning can automate optimization at a much larger scale and speed.

For example, AI-powered platforms like Google’s Performance Max automatically adjust bids, placements, and creative elements in real time to optimize for the lowest cost per conversion, continuously testing and learning without human intervention.

Other Applications

• Dynamic Product Ads: AI can automatically generate and serve personalized ads based on user behavior.
• Predictive Lead Scoring: AI systems can predict which leads are most likely to convert, allowing sales teams to prioritize efforts.

Limitations & Ethical Considerations

While AI offers impressive advantages, it’s important to remain cautious:

• Algorithmic Bias: AI models can unintentionally perpetuate biases present in training data.
• Black Box Problem: Understanding how AI makes certain decisions can be difficult.
• Ethical Concerns: Over-reliance on algorithms can lead to privacy violations and manipulative practices, so human oversight is essential.

Benefits of Quantitative Marketing for Businesses

Quantitative marketing gives businesses the ability to make data-driven decisions, ensuring resources are spent on strategies with proven success. It helps scale efforts efficiently, measure ROI with clarity, and optimize campaigns in real-time. 

1. Data-Backed Decisions

Quantitative marketing removes the guesswork by relying on data to drive decisions, not intuition. With real-time analytics and historical data, businesses can allocate resources to strategies that are already proven to resonate with their audience, reducing waste and improving effectiveness.

2. Unmatched Scalability

Quantitative marketing scales effortlessly by analyzing data from thousands or even millions of users. This allows businesses to confidently apply successful strategies to a broader audience, ensuring consistent and predictable growth as they expand.

3. Measurable ROI

Quantitative marketing provides clear, measurable results by tracking key metrics like CAC, LTV, and MQLs. With this data, businesses can confidently justify their marketing spend, making it easier to defend or increase budgets based on performance.

4. Improved Lead Quality

Through lead scoring and predictive analytics, quantitative marketing helps businesses target and qualify leads more effectively. This means the sales team receives high-quality, sales-ready leads, which increases efficiency and alignment between marketing and sales.

5. Faster Experimentation 

The fast-paced nature of quantitative marketing means rapid experimentation with A/B testing. Businesses can quickly refine their campaigns based on data-driven results, ensuring their marketing efforts are always evolving and optimized.

Characteristics of quantitative marketing research

The following are the key characteristics of quantitative marketing research:

• Large sample size: Quantitative research uses a large sample size to gather the data. This sample size is representative of the entire target population.
• Hypothesis: Quantitative research depends upon a hypothesis, and the goal is to prove or disprove the same.
• Dependent on quantitative data: As the name suggests, this research methodology relies on numbers, statistics, or other quantifiable data to draw conclusions.
• Structured: This method follows a structured approach to data collection and analysis.
• Close-ended: The questions are close-ended to facilitate better data analysis and avoid ambiguity.
• Reusable outcome: Researchers can use the results obtained for the prior study of the subsequent research problem.
• Generalization: The outcome can be generalized to the whole population because of the large sample size.

Pros and cons of quantitative marketing

The below tables summarize the key advantages and disadvantages of quantitative research.

Step-by-Step Process of Implementing Quantitative Marketing

We implement quantitative marketing for our clients with a structured, data-driven approach that ensures measurable results and continuous growth. We focus on harnessing the power of data at every stage, from gathering insights to optimizing campaigns, creating a strategy that’s both scalable and impactful. Here’s how we do it:

1. Data Collection

We start by gathering a variety of relevant data from multiple touchpoints—surveys, web analytics, customer data, and transactional information. This comprehensive data set serves as the backbone for all our strategies, ensuring we make decisions based on real, actionable insights.

2. Data Integration

Next, we integrate all the collected data from CRM systems, advertising platforms, social media, and website analytics into a single, unified dashboard. This centralized view gives us a clear picture of your customer’s journey and allows us to make informed, cohesive decisions across all channels.

3. Analysis & Modeling

Once the data is integrated, we dive into detailed analysis using descriptive, inferential, and predictive analytics. By understanding past behavior, identifying emerging trends, and forecasting future outcomes, we’re able to develop strategies that are both reactive and proactive, ensuring that your marketing always stays one step ahead.

4. Strategy Development

We take the insights derived from our analysis and translate them into actionable marketing strategies. Whether it’s optimizing ad spend, improving customer engagement, or personalizing messaging, our strategies are designed to achieve the highest possible return and meet your unique business objectives.

5. Execution & Automation

With the strategy in place, we execute targeted ads, personalized campaigns, and automated workflows that engage customers at the right time and through the right channels. Automation ensures that your marketing efforts are running smoothly and consistently, allowing us to scale efforts quickly and efficiently.

6. Measurement & Optimization

Finally, we measure the success of our campaigns by tracking key performance indicators (KPIs) such as Customer Acquisition Cost (CAC), Customer Lifetime Value (CLV), ROI, and conversion rates. Based on this data, we continuously optimize and refine our approach, ensuring that your marketing efforts evolve with your business needs and market trends.

Quantitative marketing research process roadmap

The quantitative research process follows a five-step process, which is as follows:

1. Problem definition

The first stage is defining the problem statement. It requires answering a few questions like:

• What is the point of conflict?
• What do we aim to find a solution to?
• Which information is needed?

Here, you must also create a hypothesis based on which you will assess your final result.

For example, suppose the problem statement is ‘Consumer perception of travel apps among teenagers in the USA.’ The hypothesis can be ‘Teenagers in the USA do not prefer using travel apps.’ The final result of the research will either prove or disprove the hypothesis.

You need to note that both the problem statement and the hypothesis must be specific regarding the idea, the target population, age group, the region, etc.

2. Research design

The next stage requires you to create the research design. Here, you need to specify what methodologies you will use to conduct the research. Research design establishes an outline for the study and guides how the research will be conducted.

The critical elements of research design are:

• Specific purpose statement
• Research techniques and methods
• Type of Research
• Possible objections to the research
• Settings for the study
• Timeline of the research
• Assumptions and limitations of the study

3. Data collection

Once you define the problem statement and the research design, you must begin with the actual research by collecting relevant data from various sources. The data collection technique will differ based on the type of research: primary or secondary. Ideal research involves elements of both primary and secondary research.

4. Data analysis and interpretation

Collected data is of no use by itself, and you need to analyze and interpret the data to generate meaningful conclusions. You can create charts, tables, graphs, and other diagrams to quickly present and analyze the information.

However, you must note that data analysis and interpretation are two different processes. Data analysis is the process of structuring, organizing, transforming, and modeling the data to observe trends and patterns. On the other hand, data interpretation assigns meaning to the analyzed data. It involves determining the relationship between different variables, how the information is significant to us, and so on.

5. Report writing

The final stage in the research process is writing a report. A report is usually very detailed and contains all the findings and conclusions of the research.

It includes headings such as:

• Executive summary
• Introduction
• Research objective
• Research Methodology
• Primary and secondary research findings
• Charts and diagrams for data analysis
• Data interpretation
• Conclusion
• Annexure

Marketers can use this report to understand the market trends, draft marketing strategies, present the findings to the clients, and for future marketing purposes.

Quantitative marketing data collection techniques

As discussed earlier, data collection is of two types: primary and secondary data collection. The techniques for both these methods are as follows:

Primary data collection techniques

1. Surveys

This technique typically requires the respondents to answer a list of questions related to the research problem. Quantitative research surveys have close-ended questions easing the respondent’s work and making the results specific and accurate. Traditionally, researchers relied on pen and paper to conduct surveys by individually contacting the sample. But now, we have tools like Google Forms and Microsoft Forms, making reaching a wider group of people easier.

2. Interviews

Interviews involve a detailed interaction between the researcher and the interviewee. Quantitative interview questions are structured to gather extensive information from the participants. The researcher can conduct the interview face-to-face, over the telephone, or via video conference.

3. Observations

This technique does not require asking any questions to people. It involves the recording of factual information through observation. The researcher observes instances and notes down the key highlights. This type of data collection is objective as it does not depend on a person’s memory or personal bias.

Secondary data collection techniques

The secondary research does not require the researcher to personally collect the data by contacting a group of people. It depends on the data already available or what someone else has recorded. Based on this information, the researcher draws insights and inferences. Secondary data sources can include research papers, blogs, books, videos, etc.

Types of quantitative research questions

The questions that researchers ask while conducting quantitative research are specific compared to open-ended qualitative questions, which are harder to analyze.

The major types of quantitative market research questions are:

1. Net promoter score

You can ask this question to determine customer satisfaction and brand shareability. Based on the responses, you can divide the respondents into three categories: promoters, passives, and detractors. This question usually has a 0-10 scale providing an efficient perspective about brand recommendation.

For example,

Considering your experience with us, how likely would you recommend our services to a friend?

2. Likert scale

This question evaluates a respondent’s opinion toward a particular situation. It has two extreme opinions at each end of the scale. This type of question is usually asked to know the agreement level of the respondent to a particular statement or situation. It typically has 5, 7, or 9 options to choose from.

For example,

Do you agree with the statement, “App marketing is as crucial as the other app development stages”?

3. Semantic scale

A semantic differential rating scale is used to generate quantitative data about ideologies, products, or events with drastically opposing answers at the polar points of the scale to quantify their implicative meaning.

For example,

How satisfied are you with our customer service?

4. Multiple-choice

These questions are crucial as they help in getting the best responses. The reason is that the marketer gives the respondent the exact options to choose from, and the analysis thus becomes more straightforward and quantifiable. The question can be designed in a way that the respondent can choose either only one option or multiple options.

For example,

Which video streaming platform do you prefer using?

• YouTube
• TikTok
• Netflix
• Amazon Prime Video
• Hulu
• Disney+

Statistical analysis techniques used in quantitative research

Various statistical analysis techniques can be used to analyze quantitative research data. Some of them are listed below:

1. TURF analysis

Total Unduplicated Reach and Frequency (TURF) analysis is a statistical approach to assess the potential of market research for a combination of products and services. With firms launching products and services regularly and new markets being explored daily, it becomes inevitable to leave no stone unturned in ensuring the products are well-received in new areas.

For example, if an app company wishes to launch a new feature, TURF analysis can help answer the following questions:

• What market share will we receive if we introduce Feature X in our app?
• Where should we promote this feature to get maximum reach in the app industry?

2. Conjoint analysis

Conjoint analysis is a way of determining the worth of numerous aspects for customers, such as pricing, features, and benefits that lead to purchasing a specific product or service. With the increasing technology integration in devices and gadgets, this analysis method has become common for product pricing, market positioning, and product introduction.

3. Gap analysis

Gap analysis is a technique for assessing the difference between the desired and the actual performance of a product or service. By measuring this, a firm can make efforts to close the gap and make its features more enticing.

Businesses use gap analysis to answer the following questions:

• What is the current position of the company?
• Where do we wish to reach?
• What can we do to close the gap?

4. MaxDiff analysis

MaxDiff analysis, also known as best-worst scaling, is used to gauge survey respondents’ preference scores for multiple attributes such as product features, brand image, activities around branding, etc. This technique is similar to conjoint analysis; however, MaxDiff analysis is easier and more comprehensive in analyzing critical situations.

5. Cross tabulation

As the name suggests, cross-tabulation allows you to compare two or more categories in a tabular format for quicker analysis. Researchers utilize cross-tabulation to look for hidden relationships in data. It’s great for market research and surveys as a cross-tab report depicts the relationship between two or more study questions.

Errors in quantitative marketing research

The following table summarizes the different types of errors that might arise while conducting quantitative marketing research:

Apart from the above errors, the study can also have hypothesis errors, which are of two types:

• Alpha error, in which the study outcomes lead to the rejection of the hypothesis even though it is true.
• Beta error, in which the study outcomes lead to the acceptance of the hypothesis even though it is false.

Challenges of Implementing Quantitative Marketing

After working with numerous clients and helping them implement quantitative marketing, we’ve encountered a range of challenges along the way. These challenges are common but can be easily tackled with the right approach. Here’s how we’ve handled some of the most common obstacles and how you can overcome them too:

1. Data Silos: The Foundation of Fragmented Insights

In larger organizations, data often lives in isolated systems, from CRMs to ad platforms to support desks. This fragmentation creates gaps in understanding the full customer journey, making accurate analysis and attribution tough.

How We Overcome It:

We use APIs to integrate different systems, ensuring smooth data flow across platforms. A Customer Data Platform (CDP) is also key to centralizing customer information into unified profiles. Additionally, we implement a Data Warehouse to house everything in one place, making analysis easier and more effective.

2. Attribution Complexity: Who Gets the Credit?

The customer journey today isn’t linear, with multiple touchpoints across various channels before a conversion. Relying on last-click attribution can leave many valuable interactions underappreciated.

How We Overcome It:

We implement Multi-Touch Attribution (MTA) models like Linear and Time-Decay to give credit across touchpoints. For even more precision, we explore algorithmic attribution, which uses machine learning to intelligently distribute credit based on the actual impact of each touchpoint.

3. Data Quality Issues: Garbage In, Garbage Out

Poor data quality, whether from duplicates, inconsistencies, or outdated info, can lead to inaccurate insights, resulting in misguided decisions and wasted budget.

How We Overcome It:

We start with data hygiene protocols, enforcing standardized formats for all entries. We also set up automated validation tools that cleanse the data in real time, ensuring only accurate data enters the system. Regular data audits help us stay on top of any issues.

4. Over-reliance on Metrics: Losing the Human Story

While quantitative metrics are essential, it’s easy to get caught up in vanity metrics like page views, which may not directly impact the bottom line. Focusing too heavily on these numbers can cause us to miss the human elements behind customer behavior.

How We Overcome It:

We balance quantitative data with qualitative insights. This means using surveys, interviews, and customer feedback to understand the why behind the numbers. We also ensure all KPIs tie directly to business outcomes, like revenue or lifetime value, so we focus on metrics that truly matter.

Tools & APIs for Implementing Quantitative Marketing

A solid quantitative marketing strategy relies on tools for tracking data, integrating customer insights, and running experiments. These help optimize campaigns, automate processes, and make smarter, data-driven decisions.

1. Analytics & Behavioral Tracking Tools

These tools act as your eyes and ears, gathering data on how users interact with your digital properties.

• Google Analytics 4 (GA4): The gold standard for tracking user behavior across platforms, GA4 is essential for understanding web traffic and user engagement, offering robust integration with other Google tools like Google Ads.
• Mixpanel: It goes deeper by tracking specific user actions, making it ideal for product-led growth. Mixpanel helps analyze funnels, retention, and segmentation.
• Heap: Automatically tracks every user interaction, from clicks to form entries, without needing manual tagging, which accelerates data collection and reduces implementation time.

2. CRM & Customer Data Platforms

CRMs and CDPs unify fragmented data and give you a clear, actionable view of each customer, fueling your marketing strategy.

• HubSpot: An all-in-one platform combining CRM, marketing automation, and sales tools, HubSpot is excellent for managing the customer lifecycle in mid-market companies.
• Salesforce: The enterprise-grade CRM leader, Salesforce offers robust features for email marketing, audience segmentation, and multi-channel marketing automation.
• Segment: As a pure-play CDP, Segment consolidates customer data from various sources, cleans it, and syncs it across your tech stack for seamless integration and real-time personalization.

Why They Matter: These platforms eliminate data silos, enabling you to create personalized experiences and track multi-touch attribution throughout the entire customer journey.

3. A/B Testing & Experimentation Platforms

Tools like Optimizely, VWO, and Google Optimize help you test and refine your marketing strategies with real data. They take the guesswork out by letting you run A/B and multivariate tests, so you can see what actually drives results. In the end, they help you fine-tune campaigns for higher conversions and better performance.

4. Machine Learning APIs & Frameworks

Tools like Google Vertex AI, AWS SageMaker, TensorFlow, and PyTorch let you predict customer behavior and automate decisions at scale. They help you go beyond basic data analysis and create personalized experiences or retain customers before problems arise. In short, they make your decisions smarter and more efficient.

5. Multi-Touch Attribution Tools

Tools like Ruler Analytics, HubSpot Attribution, and Wicked Reports help track the full customer journey, not just the final click. They show how different marketing efforts contribute to revenue, giving you a clearer picture of what’s driving results. This lets you allocate your budget more effectively, ensuring you invest in the right channels.

6. Data Visualization & Business Intelligence

Raw data is overwhelming unless it’s presented clearly. BI tools help transform complex datasets into actionable insights through dashboards and visual reports.

• Power BI: A robust BI tool from Microsoft, Power BI is known for its deep integration with Microsoft products and its ability to create detailed, enterprise-level reports and dashboards.
• Tableau: A leader in data visualization, Tableau excels at connecting to virtually any data source and creating powerful, customizable dashboards.
• Looker: Now part of Google Cloud, Looker enables consistent data modeling and reporting, ensuring everyone across the organization is working from the same metrics.

Why They Matter: They provide accessible, real-time insights, enabling marketers and business leaders to make quick, informed decisions and spot trends as they happen.

Market research in the app industry

App development is a sector that requires intensive research about the market. It includes the analysis of the target audience, the competitors, and the various other associated factors. A business starting in this sector might find it overwhelming to conduct thorough market research without proper guidance. As a result, it is better to consult app development experts for this task.

Idea Usher is a technology company providing various digital services like app development, blockchain development, AI and IoT-related services, etc. In addition to qualified app developers, we also have experts who assist clients in understanding the feasibility of their app idea by conducting a thorough analysis of the target market. Once the feasibility is confirmed, we help turn the app idea into reality through our development services.

Contact us to get a clear vision of your app idea and take off your app business.

E-mail: contact@ideausher.com

Phone Numbers : (+91) 946 340 7140, (+91) 859 140 7140, and (+1) 732 962 4560

Use Case: Quantitative Marketing in a B2B SaaS Platform

We recently worked with a B2B SaaS platform that was grappling with rising customer acquisition costs and flat conversion rates. Despite pouring money into paid ads, they were getting leads, but the quality just wasn’t there, and sales were having a tough time closing deals. 

They knew something wasn’t working, but couldn’t pinpoint where the issue was. Relying on gut feelings and last-click attribution, they ended up wasting money without seeing the growth they expected.

The Challenge

• Unjustifiable Ad Spend: Their CAC increased by 45% year-over-year, but they couldn’t figure out which campaigns were driving high-quality leads.
• Unclear Attribution: Marketing claimed they were generating leads, but sales said they were low-quality. Data from Google Ads, LinkedIn, and Salesforce was siloed, making it impossible to get a complete picture.
• Early Churn: Even when they acquired customers, many churned within the first 90 days, diminishing their return on investment.

Our Data-Driven Approach: 

We moved beyond guesswork by implementing a comprehensive, data-first strategy.

Data Integration

We broke down the data silos by implementing a Customer Data Platform (CDP) that unified their advertising platforms, website data, and Salesforce CRM. This gave them a full, multi-touch view of each lead’s journey from the first click to a closed deal.

Hypothesis-Driven A/B Testing

With the unified data, we hypothesized that redesigning the landing page to focus on enterprise pain points and adding a case study video would increase conversions. We ran a controlled A/B test and tracked not only form fills but the quality of leads passed to sales.

Predictive Churn Modeling

To address retention, we built a predictive model using machine learning to identify churn patterns based on early behaviors, like low feature adoption or minimal logins. We assigned a “churn risk score” to each customer, allowing proactive interventions.

Machine Learning-Powered Ad Optimization

By leveraging the new attribution data, we optimized their ad strategy. Using Salesforce data, we created value-based audiences on Google Ads and LinkedIn, enabling the algorithm to find users who resembled their highest-value customers.

Tangible Results

• 30% Lower CAC: By reallocating budget to the most effective channels and audiences, we significantly reduced ad spend while improving lead quality.
• 25% Increase in Conversion Rate: The new landing page variant helped qualify leads more effectively, making the sales team more efficient and productive.
• 20% Higher Retention: Using churn risk scores, the customer success team prioritized outreach and successfully saved 20% of at-risk customers through targeted nurturing and personalized onboarding.

Summing up

Quantitative marketing research is an excellent way for marketers to understand the market situation and plan their marketing strategies accordingly. The results obtained through the research can be used to derive insightful conclusions because of their precise nature.

Expert tip: Always aim to keep your research objective, specific, and bias-free to ensure better outcomes and marketing decisions.

Looking to Implement Quantitative Marketing?

At IdeaUsher, we don’t just provide reports, we build the data engines that power your marketing success. Our approach goes beyond analytics; we implement integrated systems, predictive models, and AI-driven automation to turn your marketing into a predictable, scalable growth engine.

Why Partner with IdeaUsher?

500,000+ Hours of Coding Experience: This isn’t just a number—it’s the depth of expertise that fuels our ability to solve complex problems efficiently. With over half a million hours of coding experience, we ensure your project is executed flawlessly from day one.

Ex-MAANG/FAANG Developer Expertise: Our team is made up of top-tier developers who have built and scaled systems at some of the world’s leading tech companies. They bring an elite engineering mindset, ensuring that your marketing systems are not only functional but also secure, scalable, and fast.

Full-Stack Quantitative Implementation: We handle every aspect of making your marketing data-driven:

• Data Unification: We break down silos, creating a single, integrated view of your customers with custom integrations and Customer Data Platforms (CDPs).
• Attribution Architecture: We implement advanced multi-touch attribution models, so you know exactly which marketing efforts are driving revenue.
• Predictive Model Development: Our custom machine learning models forecast churn, predict customer lifetime value (LTV), and identify your highest-value segments.
• Automation & Integration: We connect your entire marketing stack, enabling real-time personalization and automated workflows that increase efficiency.

Check out our latest projects to see the transformative work we can deliver for you!

Work with Ex-MAANG developers to build next-gen apps schedule your consultation now

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Frequently asked questions

Here are a few exciting FAQs about quantitative marketing.

The post All you need to know about quantitative marketing appeared first on Idea Usher.

This blog discusses decentralized applications, their development process, the required tech stack, and the industry’s top players.

What are decentralized applications?

Before we discuss how to make a decentralized application, it is crucial to understand what these applications are. Decentralized applications (dApps) are distributed apps that run on blockchain and peer-to-peer (P2P) networks of computers instead of a single computer. They provide functions and utility to the users, just like traditional apps. However, dApps are not owned or controlled by any single authority and operate without human intervention.

These apps run on P2P networks of computers, meaning once a developer releases a dApp’s codebase, others can build on top of it, and these apps do not have a single point of failure. dApps distribute tokens that represent ownership. These tokens are allocated to system users according to a pre-programmed algorithm, thus diluting ownership and control of the dApp.

Key Features of Decentralized Application

When it comes to building a decentralized application, there are certain key features that are important to consider. Decentralized applications, or dApps, are built on a peer-to-peer network of computers rather than relying on a single computer. This decentralized nature ensures that no one person or entity has complete control over the application.

1. Decentralization

One of the main features of dApps is their decentralization. This means that the power and control of the application are distributed among many different computers, rather than being concentrated in one central location. This can be seen in the use of decentralized storage networks like Storj.io or IPFS instead of centralized storage systems like Dropbox.

2. Autonomous

Another key feature of dApps is their autonomy. They are designed to run automatically without human intervention or third-party decision-making. Changes made to the dApp code must be approved by a majority of users, which ensures that users have full control over the application’s operation.

3. Smart Contracts

Smart contracts are an integral part of dApps. These are computer codes that facilitate the exchange of value, such as money, property, or shares. When running on a blockchain, they become decentralized applications.

4. Incentives

Incentivization is another important aspect of dApps. Users who contribute to running the application are rewarded with an internal currency or token that has value outside the app itself. For instance, Bitcoin rewards users for processing blockchain transactions, while the Golem network rewards users for sharing their computer’s processing power.

5. Immutability and backup of your data

The immutable nature of blockchain is another critical feature of dApps. Once data is written to the blockchain, it cannot be modified or altered, ensuring the security and reliability of the data. This feature can also be used for backing up application data.

6. Open Source

Finally, dApps are typically open source, meaning that anyone can view and verify the application code. This ensures transparency and accountability, and allows for collaboration and innovation within the community.

How to make a decentralized application: A step-by-step guide

1. Know your project

The first step in developing a decentralized app is to understand your app project in and out. You must be aware of the problem your app intends to solve and how it plans to do so. It is also vital to determine why your app needs to be a dApp instead of a traditional app. Cost determination and market research are other things you need to do at this stage.

Research the market to answer these questions:

• Which are the existing dApps in my niche?
• What are their strengths and weaknesses?
• Which dApp ideas can get traction?
• Does a market exist for my dApp idea?
• What were the budgets and timelines of my competitors?
• What can I do to outshine the other dApps?

2. Create a whitepaper

Once you clearly understand your dApp project, its future potential, and opportunities, you must create a whitepaper to help investors understand your vision. This document would include all the essential statistics, facts and figures, diagrams, and any other relevant information needed to convince the investors why your dApp idea will be a success.

Further, you must ensure that your whitepaper has fruitful information and does not sound like a marketing pitch. Investors are more likely to consider the project a scam if it is all about marketing with no substantive information.

It would help if you keep the following things in mind while creating a whitepaper:

• The whitepaper should be completely original with zero plagiarism.
• You must avoid using jargon while explaining your technology solutions.
• Don’t forget to include your project roadmap and timeline to inform the investors about the project launch.
• Explain the potential risks and how you plan to mitigate them.
• You must share your progress if you’ve already started working on your project.
• Share the steps you took to comply with the regulations.

3. Launch an Initial Coin Offering (ICO)

An Initial Coin Offering (ICO) is the cryptocurrency version of the traditional Initial Public Offering (IPO). It is a form of crowdfunding where you can issue tokens to the investors in return for an investment in the project.

You can structure your ICO in any of the following ways:

• Fixed price and static supply: Each token you issue will have a pre-decided price, and the supply will also be fixed.
• Fixed price and dynamic supply: In this case, the tokens will have a fixed price, but the supply will depend on the amount of funding received.
• Dynamic price and static supply: This is the opposite of the previous structure. Here, the supply of tokens will remain fixed, but the amount of funding received will determine the price per token.

4. Build a smart contract

Smart contracts are programs that link dApps with the blockchain. You need a code to put your app on the decentralized platform, and smart contracts are the pieces of that code where you put the decentralized logic of your dApp.

The functions you want to take place automatically should be stored in the smart contract. Smart contracts cannot be changed once they are deployed on the network. They are a crucial element behind the decentralized nature of dApps, as the dApps are controlled by the logic written in the smart contract, not an individual or organization.

You also need to pick a blockchain because the smart contracts function on them. The number of blockchains will increase if you wish to build a cross-chain dApp. The most commonly used blockchain for dApp development is Ethereum because it has many users who already have crypto wallets and can onboard faster. However, other blockchains support smart contracts too.

5. Develop the frontend

You cannot develop a decentralized application without designing an appealing and interactive user interface. Although the dApps differ from traditional apps, the difference shouldn’t be visible on the front. That is to say, the UI of a decentralized app shouldn’t be drastically different from the apps that users commonly use.

An ideal approach to follow while developing the dApp frontend is:

• Creating a low-fidelity UI
• Creating a high-fidelity UI
• User testing
• UI/UX enhancement based on feedback

Moreover, it is essential to note that the transactions are not immediately executed on the blockchain, and calling a smart contract function from the user-facing app takes some time. Thus, it would be a good idea to include animation in the front showing the users that their transaction is in the process until it is verified on the blockchain.

6. Develop the backend

If you are building a decentralized app that allows users to perform multiple tasks rather than merely carrying out transactions, you will need a server-based backend. The backend server is where you will keep the user data because you cannot fit it onto a blockchain.

You will also get the reports on your dApps performance from the backend. The backend is the other important half of your dApp, and you need to note that it will be centralized.

7. Test the dApp

As stated earlier, once the smart contract is deployed on the blockchain, it can no longer be modified. As a result, any bugs or issues that made it to the mainnet will remain unchangeable. Thus, it is crucial to conduct rigorous app testing before deploying the app.

Like traditional apps, dApps also go through multiple quality tests to ensure the final product is bug-free. While testing frontend apps is a fairly standard technique, smart contract testing is slightly different because it requires using a testnet to verify its functionality.

8. Deploy and maintain

The final step is to deploy your dApp by uploading it to the Google Play Store or the Apple App Store. This stage also requires adding a smart contract to the blockchain and switching the backend portal to a live production environment.

dApp maintenance is a continuous process that requires constant monitoring and upgrading of the application. Although you cannot make changes to the smart contract because of the immutability of the blockchain, you still need to upgrade the frontend from time to time.

The technology stack used to develop a decentralized application

It is essential to have complete knowledge of the tools required to develop any traditional or decentralized application.

Below is a list of tools that you will need to create a dApp:

• JavaScript: for frontend development and smart contracts testing.
• Python, Go, Rust, C++: for backend coding and business logic development.
• Node.js, Solidity: for smart contract development
• Truffle: for developing smart contracts with the Solidity programming language and testing the blockchain code.
• MetaMask: is an Ethereum wallet that provides chain connectivity inside a browser.
• Ganache: to spin up a local blockchain in seconds with funded accounts; is an affordable alternative to setting up a full-fledged testing environment.
• Web3.js/ Ether.js: for connecting the front-end portion of a dApp with the blockchain.
• Express.js: for off-chain back-end development.
• Remix: is a browser-based development environment for writing blockchain code.

Top decentralized apps in 2023

Now that we know how to make a decentralized application let’s look at a few top players in the industry and understand their essential functions and features.

1. PancakeSwap

PancakeSwap is a decentralized exchange built on Binance smart chain that allows users to swap between two BEP20 tokens. It uses smart contracts to execute trades and gained popularity for the liquidity of the listed assets. It also offers features such as Yield Farms, Syrup Pools, Lottery v2, prediction markets, and NFT collectibles.

CAKE is its native utility token that can be used for staking, yield farming, lottery participation, and governance voting. Users must connect the PancakeSwap platform with Web 3.0 wallets to execute the token swap. The users can execute the trade without waiting for the order to match.

2. Compound

Compound is a decentralized marketplace built on the Ethereum network that allows users to lend and borrow their digital assets. The users can deposit fourteen types of cryptocurrencies on this platform to generate interest.

The platform employs an automated algorithm to match a lender with a borrower. After discovering the matched users, the platform exchanges funds from the liquidity pool. Further, the liquidity pool acts as a means of collecting the interest from the borrower and paying it to the lender.

The platform uses COMP as the governance token and native cryptocurrency. The users can use the COMP token to vote on the governance structure of the Compound protocol.

3. Splinterlands

Splinterlands is a blockchain-based collectible card game that uses NFT to provide ownership to the players for their in-game assets. The game is built on the Ethereum blockchain, and players can create an account or connect an existing wallet to get started.

Its native governance token is Splintershards (SPS) which also acts as the primary gaming currency. SPS holders can also make governance-based decisions for the Splinterlands ecosystem.

4. Uniswap V2

Uniswap V2 is the second version of the Uniswap protocol, which is built on the Ethereum blockchain and allows trustless token swaps. The platform enables the users to directly swap one ERC-20 token with another, thus reducing the number of transactions. Consequently, they must pay a lesser gas fee to execute the transaction.

The ‘Flash Swap’ feature of Uniswap V2 allows users to withdraw any number of ERC-20 tokens from Uniswap without paying an upfront cost. The user needs to pay after the complete execution of the transaction.

5. Arc8

Arc8 is a play-to-earn mobile game that rewards players for their loyalty, effort, and gaming skills. It offers multiple gaming categories such as 1v1 matches, multiplayer tournaments, and sponsored tournaments.

It uses the GMEE token for entry fees, gameplay payments, voting, and in-game rewards. Additionally, the players can use these tokens to rent, purchase, breed, and upgrade in-game assets. The platform also has a referral program that rewards both the players involved in the referral process with GMEE bonuses.

An overview of the dApp development team

Developing a robust and user-friendly decentralized application requires an efficient development team. This section lists the professionals you need at different stages of the dApp development process.

Why is finding the right team of professionals necessary?

Developing a decentralized application is not an easy task. It requires an in-depth understanding of blockchain technology, smart contracts, various protocols, and development frameworks. A person with little knowledge might find it challenging to create a decentralized app from scratch.

Thus, hiring a development company with relevant experience and expertise is advisable. This decision should be taken with utmost caution because it can be a make-or-break deal for you. An experienced team can help scale your business, while an inefficient team might hamper your growth.

Idea Usher is a leading technology company with years of experience in blockchain, cryptocurrency, and NFT. Our developers strive to provide top-notch services that help scale our clients’ businesses. We have a clear motive to deliver cutting-edge digital solutions that adhere to your timeline and do not burn a hole in your pocket.

Contact us to develop a decentralized application and leverage the power of blockchain to succeed.

E-mail: contact@ideausher.com

Phone Numbers : (+91) 946 340 7140, (+91) 859 140 7140 and (+1) 732 962 4560

Wrapping up

The future of mobile apps is here, and they will not die anytime soon. Since the advent of blockchain and other Web 3.0 technologies, decentralized applications have started gaining prominence. Their decentralized nature allows users to contribute to the governance of the platforms.

These apps have found their use in several industries, such as gaming, finance, health, insurance, and many more. Their fault tolerance, data integrity, platform flexibility, and user privacy appeal to both users and developers.

dApps are growing every day, and it will be interesting to see how these apps change the technological landscape in the future.

Frequently asked questions

Here are a few exciting FAQs on how to make a decentralized application:

Q. What are the requirements of a decentralized application?

A. An app should satisfy the following conditions to be called a decentralized app:

• The app must be open-source.
• It should provide decentralized storage.
• It should offer cryptography.

Q. Do dApps need a backend?

A. Yes, dApps need a centralized backend to store the user data.

Q. How much does it cost to build a decentralized app?

A. The cost of building a dApp varies depending on the project complexity, the features, the time required, the experience of the development team, and other such factors.

The post Learn how to make a decentralized application in 8 easy steps appeared first on Idea Usher.

Many entrepreneurs are willing to leverage the power of web3 and integrate web3 gaming into their web2 strategy. What are things that they should take into consideration? Let’s understand in detail.

What is web3?

Before understanding web3 gaming and its implementation, it is essential to understand what web3 is. Web3, also known as Web 3 or Web 3.0, is the third generation of the internet, which promotes decentralized protocols and aims to shift the power from big tech companies to individual users.

The first generation of the internet was merely a collection of links and homepages. The websites were non-interactive, and you could only read things and publish basic content for others to read.

Later, with the advent of web2, people could not only open and read the content but also edit and upload their own content for others to consume. Social media platforms like Facebook, Instagram, and Twitter also gained popularity.

Web3 is the latest version of the internet where the users can not only use free platforms in exchange for data but participate in the governance and operation of the protocols themselves.

But what’s the role of web3 in gaming? Let’s elaborate.

What is web3 gaming?

Web3 gaming is a field of web3 that offers users the opportunity to earn while playing. Web3 games (also called play-to-earn, P2E, blockchain, crypto, or NFT games) are virtual games that use blockchain as the underlying technology.

These games have in-game assets that the players can earn and own in digital assets like NFTs or cryptocurrencies. These games differ from traditional free-to-play (F2P) or pay-to-play games as it offers asset trading for real-world value.

Critical features of web3 gaming

Web3 gaming is a one-of-a-kind digital experience that offers the players assets having actual value. These assets act as incentives for the users to engage with the games.

A few critical features of crypto gaming distinguish it from traditional gaming. Those features are listed below:

1. Interoperability and ownership

Ownership and interoperability are two features that distinguish web3 gaming from traditional gaming. Blockchain gaming offers the players self-sovereignty over the in-game assets and collectibles they can store as NFTs. Traditional gaming also allows players to own in-game assets, but they lose ownership once they change the gaming platform.

Blockchain gaming solves this problem by providing interoperability between several platforms. The players own the in-game assets and can carry them to the next gaming platform.

2. Old game upgradation

Crypto gaming integrates and upgrades older games into the metaverse, thus making them decentralized in nature. It also provides personalization where players have their preferred games. It upgrades the old games by bringing them to the metaverse, enabling players to make their avatars and own and trade digital assets.

3. Player-centric gaming

As stated earlier, crypto gaming offers personalization and a player-driven gaming experience. The players benefit from this gaming experience in many ways. One of the most important aspects is the play-to-earn concept, allowing players to earn profits from their game performance. Another aspect is the old game integration that helps the players to play their favorite old games in a new way on the metaverse. The third benefit that the players get is self-sovereignty over in-game assets.

4. Transparency

Web3 games are decentralized and distributed over a network of computers, making them immune to hacking. As these games are blockchain-based, they rely on voting consensus to improve or modify the gaming process, and all the players in the network have equal accessibility to the games. Thus, web3 games ensure a high degree of transparency.

5. Scalable

Web3 game ecosystems operate autonomously, requiring minimum upkeep costs and no interference from any authority. Blockchain gaming provides negligible downtime and is highly scalable due to block minting and large game data storage capacity.

Things to know before implementing web3 gaming into your web2 strategy

There has been a lot of confusion regarding integrating web 3.0 into web2 business models. However, the gaming industry is considered the primary focus for the mainstream adoption of web 3.0.

Here are a few things you need to consider while incorporating web3 gaming into web2 business:

1. Start small

Gaming has a lot of potentials to improve brand awareness among the younger generation. Non-gaming brands have realized this potential and started integrating gaming into their strategies. Fortnite x Balenciaga collaboration is a prime example.

But what distinguishes web3 games from traditional ones is that commercial activity is already a core part of them. Thus, these games can take the player from brand awareness to conversion with minimal deviation compared to the standard gameplay.

Companies looking to integrate blockchain gaming into their strategies should take baby steps and expand the experience over time. They should understand how their brand can exist within a traditional gaming environment. Understanding the audience, the games they play, and design activations adding value to the player experience will be helpful steps in the transition process.

2. Integrating the physical and the digital

Many web2 companies face a challenge in creating awareness for their physical product in a wholly digital environment. But, the financial infrastructure integration in the web3 games and the same NFT marketplace for both physical and in-game item sales has made the user journey from digital to physical smoother.

A thing to note while transitioning your customers from digital to physical is to design an NFT collection with real-world utility. While some brands may find it easier to assign real-world utility to NFTs, others may find it challenging. But it is an essential factor that shouldn’t be ignored because the NFT would be an ordinary image without a real-world value.

3. Develop a skill-to-earn gaming model

A game can remain financially stable only through token and digital assets sales while the number of players consistently rises. Once this number reaches a point of no change, the token value drops, and players start leaving the platform.

Companies can avoid this situation by implementing a skill-to-earn gaming model that rewards players based on their skills and genuine achievements instead of participation rewards. In this scenario, a small proportion of players will make profits, while others will be the net contributors.

4. Beware of backlash

Companies must be prepared because web3 games face a backlash because of blockchain’s environmental impact. As a result, blockchain selection, clear communication, and education around the same become essential.

Another concern is the over-commercialization of gaming. Many players in the traditional gaming community criticize the rising number of branded content and monetization strategies integrated into modern games. A similar trend was seen at the inception of the F2P games. But eventually, the number of players opposing the web3 games will reduce. All it needs is exciting in-game activations that do not detract the players from the overall gaming experience.

5. Right blockchain selection

Selecting the suitable blockchain for the game is crucial because it determines the performance, scalability, transaction cost, etc. Web2 companies with limited knowledge of web3 may find it challenging to understand the technicalities and make the proper selection.

For most blockchain games, organizations can prefer a fast, cheap, and scalable blockchain. Organizations should also pay attention to the blockchain community before choosing the blockchain.

Top web3 games in 2022

1. Alien Worlds

Alien Worlds is a blockchain-based metaverse existing on multiple blockchains like Ethereum (ETH), WAX, and Binance Smart Chain. It relies on NFT and decentralized autonomous organizations (DAO). The primary goal of the game is to travel to different planets and mine Trilium (TLM), the game’s utility token which is also a multi-chain token.

You can stake the token to participate in the governance, i.e., the planets in the metaverse. The more the players staking their TLM on the planets, the higher the reward pool for everyone to earn.

2. Axie Infinity

Axie Infinity is a monster-battling game where you combat teams of cute creatures called Axies. The game runs on the Ethereum blockchain along with Ronin, a sidechain helping minimize fees and transaction delays. The game focuses on turn-based battles, either against computer-controlled Axies or the players over the internet.

NFTs are used to represent in-game objects. These cryptographically distinct tokens can be linked to digital content; in this example, the Axies and land plots that occupy Axie Infinity. Unlike traditional in-game products, the NFT grants the buyer ownership; Axies can be traded for real money on the game’s marketplace. You can also breed Axies, which allows you to create potentially more powerful teams and generate more NFTs to sell on the market.

3. Splinterlands

Splinterlands is a blockchain-based collectible card game. You can own every card in the game as an NFT and trade the same using cryptocurrencies like Bitcoin and Ethereum. Winners can earn real money and buy and sell the cards via third-party online marketplaces.

The game works on the Ethereum blockchain and requires players to create an account or connect an existing Web3 wallet like MetaMask to get started.

4. Farmers World

Farmers World is a popular crypto game that runs on the WAX blockchain. The game has three in-game tokens: Farmers World Wood (FWW), Farmers World Food (FWF), and Farmers World Gold (FWG). While playing the game, you spend most of your time using NFT tools to get the three tokens, buy NFT plots to cultivate food, and raise NFT animals.

Additionally, you can sell your earned NFTs on the secondary market for WAX. Farmers World is set in the early stages of the strange, ancient civilization. As a player, you must construct your civilization by chopping wood, collecting fish, farming, and mining gold.

5. The Sandbox

The Sandbox is a blockchain-based game that uses several token types to ensure a circular economy between all the types of users interacting with the platform. These users include players, creators, curators, and land owners, and the tokens are SAND, LAND, and ASSETS.

In the game, the user assumes the role of “Deity apprentice” and begins creating their own world by exploring resources such as water, dirt, lightning, lava, sand, glass, and many more complicated elements such as humans, wildlife, and mechanical contraptions. Players must complete chores such as mixing water and dirt to generate mud and obstacles such as building a battery or an electrical circuit. Players can store their worlds and also publish them in a public gallery.

Why is web3 gaming the future?

GameFi, referring to the integration of blockchain in gaming for monetization purposes, has seen explosive growth recently. Its market saw a 194.19% increase in 2022 Q1 funding as compared to the data in 2021. More and more individuals in developing nations are gaining internet access and attempting to escape poverty by earning money online; advances in AR and VR are bringing the metaverse closer to reality – all of this indicates that crypto gaming is positioned for long-term growth.

Winding up

The gaming industry is experiencing a shift with the advent of web3 games. Their play-to-earn concept has resonated with many, and their demand is steadily increasing. The web3 gaming industry also has the potential to market the brand in novel ways. Many companies are looking to bank on this sector to grow their brand. But integrating crypto gaming into a web2 strategy requires a deep understanding of blockchain and its related aspects. It can be complicated for companies with little or no expertise in the web3 domain. As a result, it is better for them to outsource the service to experienced tech companies.

Idea Usher is a leading technology company that assists businesses in developing and deploying effective blockchain solutions. Our development team has in-depth knowledge of the various blockchain technologies and their applications.

Contact us to witness a smooth integration of web3 into your business.

E-mail: contact@ideausher.com

Phone Numbers : (+91) 946 340 7140, (+91) 859 140 7140 and (+1) 732 962 4560

Frequently asked questions

Here are a few exciting FAQs about web3 gaming.

1. What are web3 games?

Web3 games are video games built on blockchains and work on the play-to-earn model, enabling the players to earn in-game assets while playing.

2. Is web3 a blockchain?

No, web3 is the third generation of the internet that allows users to not only read and write online but also own the protocols. Blockchain is a part of web3.

3. How to integrate blockchain in gaming?

Blockchain-based games have been getting a lot of attention lately. This blog discusses how you can integrate blockchain into gaming.

The post Consider these things before implementing web3 gaming into your web2 strategy appeared first on Idea Usher.

This blog discusses ANNs, their types, use cases, and more.

What are artificial neural networks?

Artificial Neural Networks (ANN), simply known as neural networks, are a subset of machine learning and are at the core of deep learning algorithms. These networks are inspired by the human brain and send signals to one another like biological neurons.

ANNs use interconnected nodes or neurons to analyze complex data and find patterns and trends which are too complicated for the human brain or other computer techniques. These networks depend on training data to learn and improve their accuracy. However, once trained, they learn on their own.

The accuracy and speed of ANNs have enabled us to classify and cluster data in minutes as against hours taken by human experts. As a result, these networks are being used in several AI solutions. A famous example is Google’s search algorithm which predicts what the user wants to type based on their past activity and the existing search query.

Understanding the ANN architecture

Before discussing the functioning of ANNs, it is essential to understand their architecture. As stated earlier, an ANN is inspired by biological neural networks. The human brain consists of multiple brain cells called neurons, which send electric signals to help process information. Similarly, an ANN is composed of artificial neurons, called nodes, that work together to solve a problem.

These nodes are present in several layers. Each layer serves a different purpose, and the higher the complexity of the network, the more layers in the network.

A typical ANN consists of the following layers:

1. Input layer

The input layer is the entry point for the data from the outside world into the ANN. The input nodes present in this layer process, analyze, or categorize it before forwarding it to the next layer.

2. Hidden layer

The hidden layers are responsible for the back-end tasks like calculations and processing. There can be one or more hidden layers present in a network. These layers take their input from the input layer or other hidden layers, analyze and process the same, and pass it on to the next layer.

3. Output layer

The output layer is the final layer that provides the result of all the data processed by the ANN. This layer can constitute single or multiple nodes depending on the classification problem.

How does ANN work?

Here is how the data is processed and transmitted through the various layers in an ANN:

• Each node in the layers comprises input data, weights, a threshold, and an output.
• Weights are assigned after the determination of the input layer. These weights determine the importance of the input variables. Input variables with higher weight contribute more to the output than other inputs.
• The product of the inputs and their respective weights are added. The data then passes through an activation function, which decides the output.
• If the output exceeds the threshold, it activates the node and passes the data to the next layer. Thus, one node’s output becomes the other’s input.

This method of data transmission is called forward propagation since data is passed from one layer to the next throughout this procedure. However, you can also train the network to work in the opposite direction, i.e., from output to input. This process is called backpropagation. We can calculate and trace the error linked to each neuron via backpropagation, which enables us to alter and fit the model’s parameters suitably.

Types of ANN

There are various types of ANNs that serve different purposes.

Broadly the following are the major types of ANNs that have been used in multiple fields:

1. Feedforward neural networks

These networks transmit the data only in one direction, i.e., forward. These networks are also called multi-layer perceptrons (MLP). Each node in a layer is connected to every node in the next layer in this network. The input node transmits the data to the output node. We need to feed the data to train the feedforward neural network, and the network uses a feedback process to improve prediction accuracy.

2. Convolutional neural networks (CNN)

CNNs are a type of ANN used to analyze visual imagery. They are extensively used for image recognition and classification, pattern recognition, text digitization, natural language processing, etc. These networks contain one or more convolutional layers that perform mathematical functions like summarizing or filtering, called convolutions.

3. Recurrent neural networks (RNN)

RNNs are a type of ANN with a unique characteristic called feedback loops. They utilize their ‘memory’ and extract information from the prior inputs to influence the current input and output, unlike other networks that consider input and output independent. These networks are mainly employed to make predictions using time-series data, like sales forecasting.

What are deep neural networks (DNN)?

Simply put, when an ANN consists of more than one hidden layer, it is considered a DNN. DNNs are at the heart of Deep Learning. Deep learning is a field within machine learning that aims to solve complex problems using algorithms that mimic the human brain and do not require explicit programming.

Applications of DNN

Since the DNN is simply an ANN with multiple hidden layers, the applications of the two networks often overlap. Here are a few applications of DNN:

1. Aerospace 

DNNs have varied uses in the aerospace industry. They are used for fault detection, auto-piloting, path simulation, etc.

2. Social media

Intelligent recommendations and personalized social media feeds are applications of DNNs. For example, the ‘People you may know’ section on Facebook results from an analysis of your interests, past activity, friends list, etc.

3. E-commerce

Almost all e-commerce platforms recommend products and personalize the user’s feed based on past purchases, likes, dislikes, etc. DNNs aid in this process.

4. Finance

Gone are the days when financial risks were almost impossible to predict. With the advent of neural networks, stock market forecasting has become more accurate. DNNs help in corporate financial analysis, market analysis, automatic bond rating, etc.

5. Business analytics

Businesses benefit a lot from DNNs. These networks aid in customer segmentation, fraud propensity, market research, customer behavior modeling, etc.

6. Weather forecasting

Weather forecasts help predict the upcoming weather conditions. Earlier, these forecasts were not as accurate as they are now. DNNs also enable forecasters to predict impending natural disasters.

A detailed understanding of CNN

As described earlier, CNNs are a type of ANN that help in computer vision tasks. Before CNN, object identification in images was a manual, time-consuming and tiring activity. However, CNN is a scalable approach to image classification and object identification as it utilizes linear algebra principles to identify patterns within an image.

A CNN has the following layers:

1. Convolutional Layer: The convolution layer is the first layer in a CNN, where the significant computation occurs. It requires inputs, a filter, and a feature map. The filters are run through the inputs to check if a feature is present. This process is called convolution.
2. Pooling Layer: Downsampling occurs in the pooling layer. This layer reduces the number of parameters in the input. Similar to the convolutional layer, a filter is applied to the image but does not have any weight.
3. Fully-connected Layer: This is the final layer in a CNN. It performs classification based on the features extracted in the previous layers and generates the final output.

Types of CNN architectures

• LeNet
• AlexNet
• VGGNet
• ResNet
• GoogLeNet
• ZFNet

Applications of CNN

1. Cancer detection

We can detect cancer in CT scans and other medical images using CNN. They take the patient’s scanned image and compare it to the images in the database to identify damaged cells due to genetics or environmental factors such as smoking.

2. Facial recognition

CNN takes an image as input and performs operations to identify facial features in the picture. It can locate the eyes, nose, mouth, etc., despite external factors such as light, angle, pose, etc. It also compares the given data to existing data to match a face with a name.

3. Self-driving cars

Autonomous vehicles employ CNN to identify obstacles or interpret street signs for a smooth traffic flow.

4. Handwriting recognition

CNN is used to recognize characters in handwriting. It takes the handwriting image as input and breaks it into smaller parts to identify characters. It can also detect handwriting in multiple languages.

5. Biometric authentication

CNN has been widely used for biometric authentication as it can identify the physical characteristics of a person’s face. It can detect the distance between the eyes, lip curvature, etc., to authenticate a person’s identity. Also, it is able to analyze the face in different emotions.

What are region-based convolutional neural networks (R-CNN)?

The CNN focuses on applying the filters to the image input and generating output. For object detection in CNN, you must create a bounding box around the object of interest. A thing to note here is that you will have to create multiple bounding boxes to locate different regions in the image, leading to computational complexity.

Region-based convolutional neural networks (R-CNN) solves this problem of selecting a large number of regions. In the R-CNN model, the input image goes through a selective search, and 2000 regions are extracted from the image. These regions are called region proposals. So, instead of focusing on the entire image, R-CNN forces the CNN to focus on a particular region, improving the dominance of a specific object in that region.

Versions of R-CNN

• Fast R-CNN: In Fast R-CNN, you do not have to feed in 2000 region proposals every time. Instead, the convolution function is applied to the entire image at once to generate a feature map.
• Faster R-CNN: Both the R-CNN and the Fast R-CNN used selective search to generate ROIs, which is time-consuming. Faster R-CNN eliminates the selective search and integrates the ROI generation into the network itself.
• Mask R-CNN: Mask R-CNN introduces instance segmentation in the object detection process. Instance segmentation correctly detects all objects and precisely segments each instance.
• Mesh R-CNN: Mesh R-CNN detects the objects from the input image and generates their 3D shape.

Applications of R-CNN

1. Drone-mounted camera

Drone-mounted cameras use Faster R-CNN to detect and trace objects from a distance.

2. Text location in images

Faster R-CNN enables the identification of text within an image. For example, when a user puts in a particular search query, the network analyzes the images and identifies if the searched text is present in the picture.

3. Object detection in Google Lens

Google Lens uses Fast R-CNN to detect objects using the phone camera. The model is used primarily for text detection.

DNN vs. CNN vs. R-CNN: A comparison

Here is a brief comparison between the three major networks that we discussed above:

All the networks discussed above have diverse use cases and applications. The suitability of any network depends on the purpose for which we wish to employ it.

Winding up

ANNs are a significant component of artificial intelligence and machine learning. Their ability to mimic the human brain and perform complex computations has helped several industries speed up their processes and perform predictions with greater accuracy. The ANNs have already found an array of use cases, and as the technology advances, it would be interesting to witness the other areas where it can be applied.

Idea Usher has been in the business of providing best-in-class AI services for years now. Our industry-leading team of AI developers and professionals delivers custom-made digital solutions. Our diverse range of AI solutions has helped several businesses grow and succeed.

Contact us to take your business a notch higher with our AI services.

E-mail: contact@ideausher.com

Phone Numbers : (+91) 946 340 7140, (+91) 859 140 7140 and (+1) 732 962 4560

Frequently asked questions

Here are a few exciting FAQs about artificial neural networks:

1. What have ANNs been used for?

ANNs have various use cases like weather forecasting, face recognition, biometric authentication, stock market prediction, etc.

2. What is the importance of ANNs?

ANNs are critical as they enable machines to perform computations with minimum human intervention. They also improve the speed and the accuracy with which the machines perform the functions.

3. Which is the best ANN?

Each ANN is designed for a different purpose and functions differently. A network’s relevance and importance depend on the activity for which we use it. For instance, a particular ANN may be best for object detection but may not be helpful for fraud detection.

The post Your complete guide to artificial neural networks and their applications appeared first on Idea Usher.

One interesting fact is that consumer behavior does not disappear during downturns; it simply changes. Essential services, affordable alternatives, and technology-driven solutions tend to thrive. Exploring recession-proof business ideas can help you discover practical opportunities that remain relevant across any economic climate. As we have helped multiple entrepreneurs launch recession-proof businesses through our development solutions, IdeaUsher has identified the exact formula that separates thriving businesses from failing ones during economic downturns.

What is a Recession?

A recession is a significant economic downturn characterized by declining GDP, rising unemployment, reduced consumer spending, and decreased business investment for at least two consecutive quarters. It’s marked by widespread economic contraction across multiple sectors, leading to business closures, job losses, and reduced income levels. Recessions are part of natural business cycles but can be triggered by various factors including financial crises, policy changes, or external shocks.

Main Reasons Businesses Enter a Recession

Economic downturns usually result from multiple pressures colliding, not a single trigger, creating a storm many businesses can’t withstand. Understanding these factors is key to finding recession-proof business ideas that thrive amid turbulence.

1. Demand Shocks

When consumer confidence drops, people cut back sharply on non-essential spending. This decline in demand affects retail, travel, and entertainment industries the most, leaving businesses struggling to maintain sales and profitability.

2. Supply Chain Disruptions

Global or regional supply chain breakdowns can cripple production capacity. Businesses that cannot secure raw materials or deliver finished goods on time quickly lose momentum, while costs rise and operational efficiency weakens.

3. Overleveraging Vulnerabilities

Companies burdened with excessive debt become highly exposed during downturns. When credit markets tighten, these businesses often struggle to refinance or access new funding, which increases their risk of collapse.

4. Market Saturation Effects

Industries that have already reached saturation struggle to expand further. With limited growth potential, companies face fierce competition, reduced revenues, and declining margins, which make survival much harder during a recession.

5. Technological Disruptions

New technologies can upend traditional business models almost overnight. Companies that cannot adapt quickly enough often lose relevance, and entire industries may shrink, forcing businesses to reconsider sustainable or recession proof alternatives.

6. Policy-Induced Uncertainty

Unexpected policy decisions such as aggressive interest rate hikes or trade restrictions disrupt business planning. This uncertainty makes companies delay investments, cut hiring, or scale back operations, which accelerates economic contraction.

What Makes a Business Recession-Proof?

Economic downturns separate resilient businesses from vulnerable ones. While many struggle during recessions, some thrive. Understanding what makes a business recession-proof isn’t just academic; it’s vital for long-term success.

The 5 Pillars of Economic Resilience

Building long-term economic stability requires more than short-term gains. It depends on foundational pillars that help economies adapt to shocks, sustain growth, and create lasting opportunities.

1. Essential Service Provision

Recession-proof business ideas offer essential services or products customers can’t cut from budgets, like healthcare, utilities, basic food, and vital software. These sectors have inelastic demand, so price changes have a minimal impact on consumption.

Key Characteristics:

• Products/services tied to basic human needs
• Low price sensitivity among customers
• Regulatory requirements that maintain demand
• Mission-critical business functions

2. Low Customer Acquisition Cost

Companies with efficient customer acquisition mechanisms can maintain growth even when marketing budgets shrink. This typically involves strong word-of-mouth referrals, organic search presence, or community-driven growth rather than expensive paid advertising channels.

Strategic Advantages:

• Viral or referral-based growth loops
• High organic search visibility
• Strong brand recognition requiring minimal advertising spend
• Community-driven customer acquisition

3. Recurring Revenue Streams

Subscription models, maintenance contracts, and service agreements offer predictable revenue, helping businesses weather economic storms. This recurring income fosters financial stability and enables more effective cash flow management during uncertain periods.

Revenue Model Benefits:

• Predictable monthly/annual cash flow
• Higher customer lifetime value
• Reduced dependency on constant new sales
• Improved financial planning capabilities

4. Scalable Technology Infrastructure

Businesses built on scalable technology platforms can adjust operations quickly without proportional increases in costs. Cloud-based systems, automated processes, and digital-first operations provide flexibility that traditional brick-and-mortar businesses often lack.

Operational Advantages:

• Variable cost structures that scale with demand
• Remote work capabilities reducing overhead
• Automated processes reducing labor dependency
• Rapid deployment of new markets or services

5. Adaptable Business Model

The most recession-resistant businesses can quickly pivot their offerings, target markets, or delivery methods to adapt to changing conditions. This adaptability allows them to capitalize on new opportunities that emerge during economic disruptions while competitors struggle with rigid structures.

Adaptability Factors:

• Modular service offerings
• Diverse customer segments
• Multiple revenue streams
• Agile organizational structure

Top 50 Recession-Proof Business Ideas

Economic downturns affect many industries, but certain businesses remain stable due to consistent demand. Exploring these recession-proof ideas can help entrepreneurs build ventures that withstand uncertainty and generate sustainable income.

1. AI & Automation Solutions

Artificial intelligence and automation continue to drive efficiency and cost savings across industries. Focusing on recession proof business ideas in AI ensures consistent demand even during economic downturns while optimizing business operations.

A. AI-powered tools and applications

AI-powered tools optimize workflows, marketing, and operations while reducing costs, making them recession-proof. McKinsey estimates AI adoption could generate $4.4 trillion in annual productivity, proving its critical role in business resilience.

Example: Jasper AI helps companies scale content creation affordably, replacing large marketing teams while maintaining quality. Its adoption soared as businesses prioritized efficiency and cost savings without compromising productivity.

B. AI chatbots and virtual assistants

AI chatbots streamline customer interactions, reduce support costs, and operate 24/7, making them indispensable in downturns. Gartner predicts that chatbots will handle 70% of customer conversations by 2027, enabling businesses to maintain efficiency while reducing expenses.

Example: Drift’s AI-powered sales assistant helps companies engage leads instantly, shortening sales cycles. Businesses widely adopt it to sustain revenue growth while reducing customer acquisition and service costs.

C. Machine learning-driven business intelligence

ML-driven BI platforms turn raw data into actionable insights, enabling smarter decisions with fewer resources. Deloitte reports that data-driven companies are 23x more likely to outperform competitors, proving BI tools thrive even during downturns.

Example: ThoughtSpot uses AI-driven search analytics to help enterprises make real-time data-backed decisions. By eliminating reliance on large analyst teams, it supports cost efficiency and resilience during recessions.

D. Automated customer service platforms

Automation platforms reduce support headcounts while improving response speed and accuracy, ensuring efficiency under budget cuts. Forrester forecasts that customer service automation adoption will rise by 45% by 2026, underscoring its role in resilience-focused strategies.

Example: Zendesk’s automation suite allows companies to resolve queries at scale with fewer agents. It’s widely adopted as businesses prioritize cost-cutting without sacrificing customer experience during downturns.

E. AI-based fraud detection systems

Fraud risks tend to increase during recessions, making AI-driven fraud detection even more vital. PwC reports that 51% of companies experienced fraud in 2023, showing why predictive fraud detection remains a non-negotiable investment for financial stability.

Example: Feedzai, a fraud detection platform, works with banks and fintechs worldwide. Even in downturns, demand for fraud prevention rises as both businesses and consumers seek protection against financial crimes.

2. Blockchain and Cryptocurrency Solutions

Blockchain technology and cryptocurrency solutions enable secure, transparent, and decentralized transactions. Exploring recession proof business ideas in this sector allows entrepreneurs to tap into emerging digital finance trends with long-term growth potential.

A. Blockchain Asset tokenization platform

Asset tokenization platforms convert real estate, art, and commodities into tradeable digital tokens, providing liquidity during cash-strapped periods. Boston Consulting Group projects the tokenized asset market will reach $16 trillion by 2030, as businesses seek flexible financing alternatives when traditional credit markets freeze during recessions.

Example: RealT tokenizes real estate properties, allowing fractional ownership and instant liquidity. During 2022’s market volatility, their platform grew 400% as investors sought recession-hedged assets with guaranteed rental income streams.

B. Decentralized finance (DeFi) applications

DeFi platforms offer lending, borrowing, and yield farming services without traditional banking intermediaries, maintaining financial access during credit crunches. McKinsey reports DeFi protocols hold over $200 billion in assets, providing recession-proof financial services when banks tighten lending criteria and slash interest rates.

Example: Aave enables users to earn yields of 4-8% on stablecoins, while banks typically offer near-zero rates. Their total value locked grew 1,200% during economic uncertainty as users sought better returns and decentralized access.

C. Blockchain-based supply chain management

Blockchain supply chain platforms enhance transparency and traceability, reducing fraud and inefficiencies that rise during economic stress. IBM studies indicate blockchain can cut costs by 30% and boost tracking accuracy by 95%, making these systems vital for businesses protecting thin margins during downturns.

Example: VeChain tracks luxury goods and food products, preventing counterfeiting that increases during recessions. Major brands using VeChain reported a 60% reduction in supply chain disputes and a 40% improvement in inventory management efficiency.

D. Tokenized Debt Platform

Tokenized debt platforms convert traditional loans into tradeable blockchain assets, providing liquidity and risk distribution during credit market freezes. Standard Chartered estimates tokenized debt markets will reach $5 trillion by 2026, as businesses seek alternative funding sources when traditional lending becomes scarce or expensive.

Example: Centrifuge tokenizes real-world assets like invoices and mortgages, connecting institutional investors with borrowers. Their platform maintained stable yields above 7% during market volatility when bond markets offered negative real returns.

E. Crypto wallet and exchange platforms

Crypto exchanges and wallets provide financial infrastructure for digital asset trading and storage, capturing increased demand during currency devaluation fears. CoinGecko data shows crypto trading volumes surge 300% during economic uncertainty, as users seek alternatives to traditional banking and investment options during financial instability.

Example: Binance became the world’s largest crypto exchange by volume, processing $76 billion daily during peak uncertainty periods. Their user base grew 50% year-over-year as individuals and institutions diversified away from traditional assets.

3. SaaS (Software as a Service) Solutions

SaaS platforms provide subscription-based, scalable solutions that businesses rely on continuously. Investing in recession proof business ideas in SaaS ensures predictable revenue streams and resilient adoption across various market conditions.

A. SaaS-based business management platforms

Business management SaaS platforms offer affordable monthly subscriptions that cut software costs by up to 60% compared to traditional solutions. Salesforce reports that companies using SaaS grow 25% faster and are 35% more profitable, making these tools vital for competitiveness during downturns.

Example: Monday.com saw 100% revenue growth from 2020-2022 as firms sought flexible, affordable project management over costly enterprise licenses. Its platform offers full business operations management for under $300 monthly, compared to traditional $50,000+ solutions.

B. Collaboration tools (e.g., project management, CRM)

Collaboration SaaS tools boost remote work and team coordination while cutting office costs during economic stress. Microsoft reports a 30% productivity increase and 50% faster project completion, making these tools essential for maintaining output with distributed teams.

Example: Slack’s daily active users increased 38% during economic uncertainty as companies favored digital collaboration over costly offices. Users reported a 32% decrease in email volume and 25% faster decision-making during remote work.

C. Cloud storage and data management solutions

Cloud storage platforms offer scalable data management, cutting IT costs by 40-70% during budget constraints. IDC forecasts global cloud storage spending will hit $120 billion by 2025 as businesses favor flexible, pay-as-you-go solutions over costly on-premise systems amid economic uncertainty.

Example: Box experienced 18% revenue growth during the 2020-2022 economic uncertainty as enterprises migrated from costly on-premise storage systems. Companies using Box reduced IT infrastructure costs by 65% while enabling secure remote work capabilities.

D. HR and payroll management SaaS solutions

HR SaaS platforms streamline employee management and cut costs by up to 50%. PwC studies show automation reduces processing time by 75% and errors by 90%, making these platforms crucial for maintaining workforce efficiency during staff reductions.

Example: BambooHR’s customer base grew 45% during economic uncertainty as small businesses sought affordable HR solutions without full-time staff. Using this platform cut HR admin time by 60% and boosted employee satisfaction.

E. Marketing automation platforms

Marketing automation SaaS tools boost engagement and leads, reduce team sizes and costs during budget cuts. HubSpot shows these tools cause a 451% increase in qualified leads and 34% drop in acquisition costs, making them vital for growth.

Example: Mailchimp’s revenue increased by 30% annually during downturns as businesses moved from costly agencies to self-service automation platforms. Users saw 25% higher email open rates and 40% lower marketing costs than traditional methods.

4. HealthTech & Telemedicine Solutions

Health technology and telemedicine continue to grow even during economic downturns. Exploring recession proof business ideas in this sector can help entrepreneurs deliver essential healthcare services remotely while generating stable revenue streams.

A. Telemedicine platforms for remote consultations

Telemedicine enables patients to access care without physical visits, cutting hospital overheads while expanding reach. McKinsey notes telehealth adoption surged 38x since pre-COVID, proving it sustains demand even when healthcare budgets are constrained.

Example: Teladoc Health offers virtual doctor consultations, seeing consistent growth as hospitals and patients embrace remote care for cost efficiency, convenience, and safety during economic uncertainty.

B. AI-powered health diagnostics tools

AI diagnostics reduce reliance on costly lab work and speed up detection of diseases. Accenture estimates AI could save $150 billion annually in U.S. healthcare by 2026, making it recession-resilient and efficiency-driven.

Example: PathAI utilizes machine learning to facilitate faster and more accurate pathology diagnoses, enabling hospitals to optimize resources while enhancing patient outcomes, making it indispensable even during periods of healthcare budget tightening.

C. Mobile apps for mental health support

Mental health needs tend to spike during economic downturns. Mobile apps make therapy and support more affordable and accessible. WHO estimates depression and anxiety cost the global economy $1 trillion annually, proving digital mental health is recession-proof.

Example: Woebot, an AI-driven mental health companion, delivers CBT-based support through chat, enabling users to access low-cost, always-available emotional care, making it a sustainable solution during financial stress.

D. Health record management systems

Digitized records reduce administrative burdens, cut costs, and improve care quality. MarketsandMarkets projects that healthcare IT systems will reach $528.5 billion by 2037, indicating the rising demand for secure record platforms, even during recessions.

Example: K Health utilizes AI-driven health record insights to offer patients personalized treatment recommendations, while helping providers manage data efficiently, ensuring affordability and operational resilience in uncertain times.

E. AI Wearable for Health Tracking

Health wearables promote preventive care and reduce costly treatments. Deloitte reports 440 million consumer wearables were shipped in 2024, showing consistent adoption as people prioritize self-monitoring during unstable economic conditions.

Example: ChronicCareIQ develops connected wearable solutions for patients with chronic conditions, enabling continuous monitoring and proactive care, which helps reduce hospital visits and lower costs for both patients and providers.

5. FinTech Solutions

Financial technology solutions remain in demand as businesses and individuals seek efficient, cost-saving tools. Investing in recession proof business ideas within FinTech ensures consistent adoption and long-term financial viability.

A. Mobile banking applications

Mobile banking apps provide low-cost financial access and streamline banking operations. With 2.5 billion users expected by 2030, they remain recession-proof by reducing overhead for banks and offering affordable financial services to consumers.

Example: Chime, a leading U.S. neobank, grew rapidly by offering fee-free banking and early wage access, helping millions manage money better during economic uncertainty while maintaining low operating costs.

B. Peer-to-peer (P2P) lending platforms

P2P lending connects borrowers and lenders directly, bypassing banks and lowering costs. Economic downturns drive demand as traditional credit tightens, making P2P a resilient financing option for individuals and small businesses.

Example: LendingClub provides borrowers with lower-interest loans and gives investors higher returns, positioning itself as a sustainable alternative lending model that thrives when traditional banks restrict credit.

C. Digital wallets and payment gateways

Digital wallets streamline payments, enhance financial inclusion, and cut transaction costs. With global digital payments projected to exceed $16 trillion by 2028, they remain recession-proof as consumers shift toward cost-efficient, cashless transactions.

Example: AEON Protocol is building next-gen digital wallets and payment rails using Web3 infrastructure, enabling instant, borderless, and low-cost payments that thrive in markets where traditional banking remains inefficient or costly.

D. Investment and financial advisory apps

Investment apps provide low-cost portfolio management, automated trading, and wealth tracking. By offering AI-driven advice at scale, they remain recession-proof as individuals seek affordable ways to secure financial futures in uncertain economies.

Example: Robinhood disrupted trading by offering commission-free stock investing, allowing millions to invest despite tight budgets, making it both accessible and cost-effective during economic downturns.

E. Blockchain for financial transparency

Blockchain improves trust by providing immutable, transparent financial records. During recessions, demand increases for fraud prevention and cost-saving decentralized systems, making blockchain indispensable for enhancing accountability and efficiency.

Example: NewMoney leverages blockchain to create transparent, tamper-proof financial reporting tools for businesses, ensuring accountability and operational efficiency that safeguard enterprises against fraud and instability during economic downturns.

6. Logistics & Supply Chain Tech Solutions

Supply chain optimization and logistics technology are critical for uninterrupted operations in any economy. Identifying recession proof business ideas in this sector can secure steady demand and operational resilience.

A. AI-driven supply chain optimization tools

AI enhances demand forecasting, route optimization, and inventory planning, reducing costs and delays. In recessions, efficiency and waste reduction become vital, making AI-driven supply chain tools recession-proof investments.

Example: Optiyol, a supply chain AI startup, provides advanced route optimization and demand forecasting, helping businesses cut fuel costs and improve delivery efficiency in volatile market conditions.

B. Blockchain for logistics tracking and verification

Blockchain provides transparent, tamper-proof records of goods movement, reducing fraud and disputes. In downturns, trust and efficiency in logistics become critical, making blockchain solutions recession-resilient.

Example: CargoX uses blockchain to digitize shipping documents and track cargo, enabling secure, paperless, and verifiable logistics operations that remain reliable during economic disruptions.

C. Real-time fleet management systems

Fleet management systems powered by IoT and AI optimize fuel usage, routes, and vehicle health. During downturns, cost efficiency and asset utilization are recession-proof advantages.

Example: Fleethand delivers IoT-driven fleet tracking solutions, offering businesses real-time insights into vehicle performance, fuel consumption, and maintenance needs to maintain operational resilience during downturns.

D. E-commerce logistics automation software

Automation platforms streamline order fulfillment, warehousing, and last-mile delivery. With e-commerce demand persisting during recessions, automation ensures cost-efficient scaling and competitiveness.

Example: Parcel Perform provides AI-powered logistics automation for e-commerce, enabling global brands to cut delivery costs, optimize fulfillment, and retain customers even in slow economic cycles.

E. IoT-based inventory management solutions

IoT sensors track inventory in real time, reducing waste, stockouts, and holding costs. In recessions, efficiency gains from IoT inventory management directly support business resilience.

Example: Wiliot develops IoT-powered inventory tags that give real-time visibility into stock levels, helping retailers and manufacturers minimize losses and ensure supply continuity in uncertain times.

7. FHR, EHR, SMART Business Ideas

Digital record management, including FHR and EHR systems, is increasingly essential for organizations. Developing recession proof business ideas in this space ensures long-term adoption and a consistent revenue base.

A. Integrating Healthcare Apps with Epic EHR

Integrating directly with Epic ensures healthcare apps can connect to hospital workflows, improving patient engagement and provider efficiency. These integrations remain essential regardless of economic cycles as healthcare demand is constant.

Example: MyChart by Epic allows patients to manage appointments, review test results, and communicate with providers within one platform. Its tight EHR integration has made it one of the most widely adopted patient-facing health apps in the U.S.

B. Using FHIR API for Healthcare App Development

FHIR APIs allow apps to securely exchange data across multiple healthcare systems, eliminating silos and reducing integration costs. This standardization makes healthcare apps recession-resistant as providers seek interoperability.

Example: 1upHealth uses FHIR APIs to give patients and payers universal access to health records from thousands of providers. Their platform powers clinical insights, population health management, and patient-facing apps across healthcare networks.

C. Enhancing EHR Systems with AI-Based Features

AI enhances EHRs with predictive insights, risk analysis, and clinical decision support, making them smarter and more actionable. Such AI integration boosts efficiency and outcomes, which remain priorities in all market conditions.

Example: Tempus integrates AI into EHR systems to analyze clinical and genomic data for personalized cancer treatment. Their AI-driven models enable oncologists to identify the most effective therapies, thereby directly improving patient outcomes.

D. Building Platforms for Auto-Summarizing EHR Notes

NLP-powered platforms automate the creation and summarization of clinical notes, reducing physician workload and documentation time. These solutions address provider burnout, a problem that persists regardless of downturns.

Example: Suki AI provides an AI-powered assistant that listens during patient encounters and auto-generates structured EHR notes. Doctors using Suki report significant reductions in documentation time, enabling a greater focus on patient care.

E. Health App Integration with Epic App Orchard

Epic App Orchard offers a marketplace for third-party healthcare apps, providing developers with direct access to Epic’s APIs. This integration drives adoption and resilience, as hospitals continue to invest in workflow-enhancing tools.

Example: Xealth integrates with Epic App Orchard, enabling clinicians to prescribe digital health apps, educational content, and remote monitoring tools directly within the Epic system. This seamless workflow boosts patient engagement and treatment adherence.

8. Healthcare AI Agentic Apps

AI-driven healthcare solutions automate diagnostics, patient engagement, and workflow management. Focusing on recession proof business ideas here provides opportunities for scalable, high-impact products with enduring demand.

A. AI-powered Hospital Assistant

AI-powered hospital assistants automate patient inquiries, streamline appointment scheduling, and reduce the burden on administrative staff. These apps help hospitals cut operational costs while maintaining a higher level of patient satisfaction.

Example: Grace by GYANT (often referred to as Grace by Grove in some deployments) is a conversational AI assistant that manages hospital call centers and patient communication. It handles FAQs, routing, and scheduling, reducing staff workload while improving response times for patients.

B. AI-driven Triage App

AI triage systems analyze patient symptoms, assess urgency, and direct them to the right care pathway. Clinics benefit from optimized resource allocation, reduced ER congestion, and better patient flow management.

Example: TriageGO uses AI to process patient-reported symptoms and medical history, then provides clinicians with urgency levels and recommendations. It helps clinics avoid overcrowding by ensuring patients get the right care at the right time.

C. Virtual Nurse App

Virtual nurse apps monitor patients remotely, provide reminders, and answer routine health questions. They improve care adherence while reducing hospital readmissions and the need for in-person follow-ups.

Example: GYANT developed an AI virtual nurse app that engages patients through conversational AI, guiding them through care plans, medication reminders, and symptom monitoring. Its user-friendly design improves patient engagement while lowering provider costs.

D. AI Doctor Assistant

AI doctor assistants enhance physician efficiency by summarizing EHR data, generating differential diagnoses, and surfacing treatment options. This allows doctors to make quicker and more informed decisions.

Example: Nabla Copilot acts as an AI assistant for doctors, transcribing consultations, auto-generating medical notes, and integrating insights into EHR systems. It reduces the administrative burden on physicians, allowing them to focus more on patient care.

E. AI Discharge Planner

Discharge planners powered by AI predict patient readiness, organize follow-ups, and reduce discharge delays. This ensures smoother care transitions and lowers readmission risks.

Example: Mayamd provides AI-driven discharge planning tools that analyze clinical and social data to recommend safe discharge timing and personalized care plans. Hospitals using it see improved bed availability and reduced readmissions.

9. AI Femtech Apps Business Ideas 

AI-powered femtech apps address women’s health and wellness, a resilient market even during downturns. Exploring recession proof business ideas in femtech can combine social impact with stable profitability.

A. AI-powered Menstrual Health Tracking Apps

AI menstrual health apps go beyond simple period tracking by using predictive models to forecast cycles, identify irregularities, and provide personalized health insights. They help women better manage reproductive health with data-driven precision.

Example: Clue uses AI to track menstrual cycles, predict ovulation windows, and provide insights into symptoms. Its machine learning algorithms adapt to each user’s data, enabling accurate cycle predictions and offering users early signals of potential health issues.

B. AI-driven Fertility and Pregnancy Support Apps

These apps use AI models to track ovulation, recommend conception windows, and provide pregnancy health monitoring. They offer personalized advice, alerts, and resources to improve maternal health outcomes.

Example: Ovia Health leverages AI-driven fertility tracking and pregnancy support, offering tailored health insights, daily tips, and risk detection. It provides personalized guidance to women trying to conceive or manage pregnancy, improving decision-making and reducing anxiety.

C. AI-powered Breast Cancer Detection and Risk Prediction Apps 

AI apps for women’s oncology use imaging data and risk factors to detect early signs of breast cancer. They also provide personalized screening recommendations, improving early intervention rates.

Example: iBreastExam uses AI and portable sensors to detect abnormal breast tissue non-invasively. Its AI algorithms analyze tissue elasticity patterns, offering affordable and radiation-free early detection, especially in regions with limited access to advanced healthcare facilities.

D. AI-based Menopause Management and Wellness Apps 

AI menopause apps track symptoms like hot flashes, mood swings, and sleep cycles while offering personalized lifestyle and treatment suggestions. They empower women to manage hormonal transitions effectively.

Example: Caria is an AI-based menopause support app that provides symptom tracking, expert-led programs, and tailored recommendations. It uses machine learning to personalize wellness strategies for each user, improving quality of life during menopause.

E. AI-powered Mental Health Support Apps for Women

These apps provide gender-specific AI-driven mental health support, addressing issues such as postpartum depression, anxiety, and hormonal mood fluctuations. They enable early intervention and ongoing emotional support.

Example: Wysa is an AI mental health app that supports women through chat-based CBT techniques, mood tracking, and guided exercises. It is widely used for stress management and can adapt to women-specific challenges like postpartum recovery and hormonal imbalances.

10. AI Virtual Try-On Apps Business Ideas 

Virtual try-on solutions enhance e-commerce experiences and reduce returns. Incorporating recession proof business ideas in AI-driven retail tech ensures value for both businesses and consumers during uncertain economic periods.

A. AI-powered Virtual Shoe Try-On Apps

AI shoe try-on apps allow users to see how sneakers or footwear look on their feet in real time through computer vision and AR overlays. They reduce return rates for eCommerce retailers and improve customer confidence in purchases.

Example: Wanna Kicks by Wannaby uses AI and AR to let users try on sneakers virtually using their smartphone camera. It leverages foot detection algorithms to place shoes with realistic scaling and angles, enhancing the online sneaker shopping experience.  

B. AR-based Footwear Try-On Apps for eCommerce

These apps focus on seamless integration with online stores, letting users virtually try footwear before purchase. They increase conversion rates and reduce size-related complaints for eCommerce brands.

Example: Vyking provides AR shoe try-on technology for fashion retailers, offering real-time 3D visualizations directly in eCommerce apps. Its AI-driven fitting models improve customer engagement and allow retailers to analyze shopper preferences.  

C. AI Jewelry Try-On Apps for Online Shopping

AI-powered jewelry try-on apps enable customers to preview rings, earrings, and necklaces on themselves digitally. They use face and hand recognition to ensure the precise placement of jewelry pieces.

Example: Jewel Try-On by Perfect Corp enables AI-driven jewelry visualization for online stores. It utilizes facial landmark detection and hand-mapping technology, enabling users to try on rings, earrings, and necklaces with lifelike reflections and lighting effects. 

D. AI Integration in AR Jewelry Try-On Apps

AI enhances AR jewelry try-on by adapting designs to the user’s skin tone, face shape, or style preference. This makes personalization more accurate and boosts buyer confidence.

Example: MirrAR integrates AI with AR to offer hyper-personalized jewelry try-ons. Its system adjusts jewelry appearance based on lighting, facial contours, and skin tone, giving users a realistic preview that mimics in-store experiences.

E. Virtual Fashion Try-On Apps for Clothing and Accessories

AI fashion try-on apps let users preview clothes, sunglasses, and handbags virtually using body mapping and AR. They also provide personalized size recommendations to reduce returns.

Example: Zeekit (acquired by Walmart) allows customers to upload photos and virtually try clothing items from partner brands. Its AI body-shape recognition and AR overlay create realistic outfit visualizations, improving decision-making in fashion eCommerce.

How to Build Your Recession-Proof Business Platform with IdeaUsher?

Building a platform that thrives during downturns requires a structured roadmap. Below is a three-phase framework that balances strategy, development, and growth, ensuring recession proof business ideas turn into long-term success.

1. Strategic Foundation

A strong foundation ensures the business model is validated before investment.

• Market Research & Validation: Competitive analysis, customer interview frameworks, and market sizing methods. Our role: providing complete market research with technical feasibility assessments.
• Business Model Design: Optimizing revenue streams, mapping user journeys, prioritizing features, and selecting scalable technology stacks.

2. Technical Development 

This phase transforms planning into a secure and scalable product.

• Architecture & Design: Scalable system structures, optimized UX, and strict security standards. Why us: 8+ years of expertise in building recession-resistant platforms.
• Development Methodology: Agile workflows, continuous integration/deployment, rigorous QA, and performance optimization.

3. Launch & Growth

Execution focuses on reaching the market effectively while preparing for expansion.

• Go-to-Market Strategy: Integrated digital marketing, analytics tracking, and user onboarding optimization. Support: post-launch monitoring and refinement till retainer.
• Scaling Preparation: Infrastructure scaling, team growth plans, and investor readiness strategies.

Why Technical Excellence Matters in Recessions

• Operational Efficiency: Cuts operating costs by 40–60%.
• Customer Retention: Better experiences drive higher lifetime value.
• Investment Appeal: Strong architecture attracts favorable funding.
• Market Adaptability: Flexible systems allow rapid pivots.

Proven Projects of Us That Strengthen Credibility

Our work demonstrates how recession proof business ideas can be executed with measurable outcomes. Below are some projects that demonstrate how we addressed core challenges while driving business impact.

1. Carpooll

Carpooll is a cost-effective ridesharing platform developed to address rising transport costs and safety concerns in intercity commuting.

• Challenge solved: Lack of affordable, safe, and eco-friendly transport options for long-distance travel.
• Solution delivered: Real-time ride tracking, secure in-app payments, transparent pricing, and women-only ride options.
• Performance metrics: Gained 10,000+ users in the first three months, achieved 20% lower commuting costs compared to traditional transport, and recorded 70% repeat bookings.
• Recession-proof value: Shared mobility provides significant cost savings, making it an attractive option during economic downturns.

2. BAM Lab

BAM Lab addresses the problem of poor user retention in wellness apps by combining personalized workout modules with a dynamic habit tracker and AI-powered coaching.

• Challenge solved: High dropout rates in fitness apps due to generic experiences and lack of motivation.
• Solution delivered: Strength, cardio, and stretching programs, customizable habit tracking, AI chatbot guidance, and progress tracking dashboards.
• Performance metrics: Achieved a 40% increase in user retention, while average daily engagement rose by 25% over six months.
• Recession-proof value: Affordable, tech-driven fitness tools replace costly gyms and trainers, keeping users invested in their health regardless of economic shifts.

3. CHIMAD

CHIMAD was built as a digital payments and coupon rewards ecosystem for businesses that wanted to improve customer engagement while lowering the costs of traditional loyalty programs.

• Challenge solved: Fragmented coupon systems made it hard for businesses to retain customers and track campaign performance.
• Solution delivered: QR-based coupon redemption, multilingual user access, vendor-specific dashboards, and real-time analytics.
• Performance metrics: Vendors recorded a 30% uplift in repeat purchases within three months and reduced coupon management costs by 45%.
• Recession-proof value: Loyalty-driven digital transactions ensured consistent revenue even when consumer spending tightened.

These projects show technical success and measurable results. Combining problem-solving with growth metrics, they prove recession-proof ideas can attract, retain users, and remain profitable in any market.

Conclusion

Building a business that can withstand economic challenges requires foresight, adaptability, and a focus on value creation. The ideas outlined demonstrate that even during downturns, opportunities exist in sectors that address essential needs and long-term consumer priorities. Recession-proof ventures are not just about survival but about positioning for consistent growth regardless of market cycles. By aligning with industries that remain stable and offering solutions that people cannot do without, it becomes possible to create a business that thrives in both uncertain and prosperous times.

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With the technology becoming more accessible, mobile apps are only getting more popular daily. The global mobile app downloads in 2023 were 299 billion, according to Statista. Thus, entering the mobile apps market is an attractive opportunity for businesses.

However, simply entering the market doesn’t guarantee success. You require in-depth research, exceptional strategy, and extensive planning to succeed. App development frameworks can make your work easier.

This blog discusses the top app development frameworks developers can use in 2022.

What is a Mobile App Framework?

It is a comprehensive software creation platform equipped with a range of tools, software libraries, compilers, debugging utilities, and programming interfaces. These elements collectively empower developers to create mobile applications without the need for complex computer languages. Instead, developers can leverage their knowledge of web-based programming languages like HTML, CSS, or JavaScript to build compelling and feature-rich apps.

The core functionality of a mobile app framework lies in its ability to streamline the app development process. By providing a structured environment and pre-built components, developers can focus on crafting the application’s source code rather than worrying about the underlying complexities of different mobile devices and platforms.

Types of mobile app development frameworks

App development frameworks help developers build fully-functional apps without starting from point zero. These frameworks allow developers to add more details like images, animations, gestures, transitions, etc. to their code and offer a sustainable environment for custom mobile app development.

There are three major types of app development frameworks, which we have discussed below.

1. Native app development framework

These frameworks help to develop native apps for a single dedicated platform. These frameworks are designed to fulfill the requirements of a particular operating system like iOS, Windows or Android.

2. Web app development framework

These frameworks are designed to build applications for web APIs, servers, and services.

3. Cross-platform app development framework

These hybrid frameworks allow developers to build apps using a single codebase for multiple platforms. They speed up the development process and eliminate repetitive tasks.

Cross-platform frameworks are gaining popularity because of their several advantages. Let’s learn more about this type of framework in detail.

What are cross-platform mobile app development frameworks?

Cross-platform app development frameworks are software that helps to build mobile apps for multiple platforms using a single codebase. They include compilers, debugging tools, programming interfaces, and more to help develop mobile apps.

Mobile app development frameworks allow the developers to build mobile apps without starting from scratch. They can use the various components available in the frameworks to develop aesthetic, functional, and user-friendly apps.

Benefits of cross-platform app development frameworks

Cross-platform app development frameworks have several advantages. Some of them are as follows:

1. Code Reusability

Cross-platform development frameworks allow the developers to write a single code for Android and iOS apps. Writing a single codebase eliminates repetitive tasks and speeds up app development.

Additionally, the developers need less time to learn the programming languages as they do not have to focus on learning different languages for different platforms. These frameworks also help to resolve bugs and other issues faster.

2. Cost-effectiveness

Native platform app development requires multiple teams with different skill sets, which becomes time-consuming and expensive. Going ahead with cross-platform development significantly reduces the cost as only a single team with common technical knowledge is required.

3. Quick development

Cross-platform development allows you to complete the development process quickly. Thus, the app can be launched in the market faster, and you can gain timely market feedback. It would help you enhance your app and fix the bugs and issues as soon as possible.

4. Consistency

Cross-platform development frameworks ensure brand consistency across apps on different platforms. Although the navigation will differ on various platforms, the overall interaction and brand image will remain the same.

5. Wider market reach

Developing a single app for multiple platforms helps you gain a wider market reach as the app becomes available on both Android and iOS platforms. The users of both these platforms can access the app, which will improve your brand engagement, strengthen your market presence, and improve your overall product.

Overview of the top mobile app development frameworks

Mobile app development frameworks provide several benefits like speed, quicker bug fixes, cost-effectiveness, and more. These frameworks help the developers access several in-built UI elements, compilers, debugging tools, etc.

Here are the top eight mobile app development frameworks that developers mostly use.

1. Flutter

Flutter is a popular open-source framework developed by Google. It helps to build native apps for both iOS and Android using a single codebase. It is a unique software development kit (SDK) for cross-platform app development that helps to create apps with a native look and feel.

This framework is featured with fully customizable widgets, a rendering engine, testing and integrating APIs and tools to develop and deploy appealing apps in a short period. It uses Google’s own programming language, Dart, to create apps for multiple platforms.

Critical features of Flutter:

• Built-in material design
• Hot reload
• Flexible UI
• Google Firebase support
• Built-in Cupertino widgets
• Rich motion APIs
• Native app-like performance

Popular apps developed using Flutter:

• Google Ads
• Alibaba
• Cryptograph
• Reflectly

2. React Native

React Native is an open-source, cross-platform development framework developed by Facebook. It allows developers to create apps with a native look and feel for Android and iOS. It provides a set of cross-platform native components like views, text, images, etc.

One of the critical reasons why React Native is famous is faster development and deployment. This framework also has reusable components, integration with third-party plugins, and component-based GUI for front-end applications. It uses JavaScript to develop scalable apps for both platforms.

Critical features of React Native:

• Reusable components
• Declarative API for predictive UI
• Low-code
• Live reload
• Support for third-party libraries

Popular apps developed using React Native:

• Tesla
• Airbnb
• Skype
• Instagram

3. Ionic

Ionic is a mobile app development framework that allows you to build cross-platform apps with HTML, CSS, and JavaScript. It’s specifically designed to create high-performance hybrid apps on iOS and Android.

The best part about this framework is that it gives you access to many tools. Many components are available, each with its own set of features. You can choose from a wide range of controls that will help you create your desired app.

Critical features of Ionic:

• Native capabilities for Android, iOS, and Windows Phone
• Improve performance through asynchronous rendering and GPU acceleration
• Complete control over app building
• Cordova plugin
• JavaScript components
• Ion-ripple-effect

Popular apps developed using Ionic:

• Instant Pot
• MarketWatch
• Amtrak
• Sworkit

4. Xamarin

Xamarin is a mobile application development framework that allows developers to build native applications for Android and iOS. It is a cross-platform development framework that enables developers to build mobile apps using C# and Visual Studio.

One of the main features of Xamarin is its ability to connect with existing Microsoft services such as Azure and Office 365. It means that developers can take advantage of all the tools they’re already familiar with and integrate them seamlessly into their apps.

Critical features of Xamarin:

• Versatile backend infrastructure
• Diagnostic tools
• Application loader
• Android SDK manager
• Google emulator manager
• Full development ecosystem

Popular apps developed using Xamarin:

• Captio
• The World Bank
• Azure
• Microsoft News

5. Native Script

NativeScript is a framework for building native mobile apps using HTML5. This framework makes it easy to create sophisticated mobile apps that look and feel like native iOS, Android, and BlackBerry applications.

NativeScript is built on the open source AngularJS framework from Google. It provides an easy way to create rich user interfaces with full-featured animations, gestures, and transitions.

Telerik created the framework with help from the Mobile Web Initiative (MWI), which encourages developers to create cross-platform mobile projects using HTML5 technologies.

Critical features of Native Script:

• Native user interface without WebViews
• Actionable plugins and customization
• Bundle workflow
• Kendo themes assistance and code sharing
• AndroidX support
• Robust backend support

Popular apps developed using Native Script:

• OSS Weather
• Navadra
• Workbox

6. Apache Cordova

Apache Cordova is an open-source framework that allows you to build native mobile apps using web technologies. It includes plugins for many popular mobile operating systems, including iOS and Android. Apache Cordova apps are written in JavaScript and HTML5, which means they can be deployed to any platform that supports those tools.

Cordova is an excellent choice for developers who want to start building mobile apps without using any special tools. You can ensure your project will work on every device by using Cordova’s cross-platform capabilities and its ability to integrate with other tools like PhoneGap or Ionic Framework.

Key features of Apache Cordova:

• Command Line Interface (CLI)
• Third-party app management tools
• Cordova core components
• Cordova plugins

Popular apps developed using Apache Cordova:

• Localeur
• SparkChess
• Untappd

7. Framework7

Framework7 is a development framework that allows you to create high-quality, professional apps quickly. It takes care of all the work for you, so you can focus on your app’s look, feel, and functionality without worrying about how to build it. It also comes with many pre-built components, making it easy for beginners to get started.

The Framework7 mobile app development framework comes with over 200 components, which allow you to build apps quickly without having to write code yourself. You can import these components into your code base or use them directly within your projects. The components are designed to be well-suited for native iOS and Android apps.

Critical features of Framework7:

• High-performance and page animation
• Built-in grid system layout, FastClick library, and Helper libraries
• Pre-styled widgets
• Clear JS API and flexible router API

Popular apps developed using Framework7:

• My Shopper
• GoDial
• PricePoint
• Rabbit Mail

8. JQuery Mobile

JQuery Mobile is a mobile app development framework for creating responsive, touch-enabled web apps accessible on all devices. It uses CSS3 and HTML5 to build non-invasively changeable mobile web pages. It enables you to use any existing framework or library, like jQuery, AngularJS, Backbone.js, or KnockoutJS—or write your own code in JavaScript.

Using JQuery Mobile instead of an existing framework will save time and money because you don’t have to learn how to use another library. The framework can handle all of the complicated steps of building an app (including images, forms, and events). Thus, you can focus on making your app great instead of learning how to handle HTML5 elements in JavaScript.

Critical features of JQuery Mobile:

• Progressive enhancement and graceful degradation
• Accessible Rich Internet Applications (ARIA)
• Theming and UI widgets
• Automatic initialization
• Simple API

Popular apps developed using JQuery Mobile:

• Slideshare
• Dodge
• Stanford
• OpenTable

Takeaway

Mobile app development frameworks are a great way to quickly get an app up and running. They can also be used to create a practical learning experience for users and provide them with the tools they need to develop their own apps. These frameworks provide the architecture, design, and user experience aspects of your mobile application that you need to make it stand out from the crowd.

In conclusion, app development frameworks are a great way to ensure that your app is up to snuff. They help you avoid the mistakes that occur while developing an app by providing guidelines and best practices to help you create an app that is both functional and aesthetically pleasing.

If you wish to create a custom app using the latest app development frameworks, you can get in touch with Idea Usher. Our experts are skilled in developing apps for both Android and iOS. With a collective experience of more than a decade, we are known to deliver cutting-edge digital solutions and custom app development services.

Contact us and get your app developed now!

E-mail: contact@ideausher.com

Phone Numbers : (+91) 946 340 7140, (+91) 859 140 7140 and (+1) 732 962 4560

Frequently asked questions

Here are some exciting FAQs about mobile app development frameworks.

Q. Which is the best technology for mobile app development?

A. Developers use several technologies and frameworks to build exciting and user-friendly apps. The best framework depends on your use case and requirements, as each has pros and cons. The best technology for one developer may not be helpful for another.

Q. Which framework is used for Android app development?

A. Some popular frameworks for Android app development are listed below:

• Flutter
• React Native
• Ionic
• Apache Cordova
• Xamarin

Q. Is React Native better than Flutter?

A. Both the frameworks have different suitability and use cases. The features, advantages, and disadvantages of both frameworks are different. 

Flutter is preferable for big apps and apps that need native programming, while React Native is preferable for apps that can benefit from its plug-and-play modules. 

You need to analyze the various factors associated with both frameworks and compare the two to decide which is better.

The post Top 8 mobile app development frameworks in 2025 appeared first on Idea Usher.

The digital shopping apps have grown in popularity over the past few years, with mobile e-commerce revenue reaching $3.56 trillion in 2021. This growth can be attributed to many factors like access to high-speed internet, growth of fintech, improved technological infrastructure across the globe, etc.

This blog discusses the key features of e-commerce apps and how they are helpful to users.

Here are 15 must-have features of an e-commerce application

An online shopping app allows its users to shop from the comfort of their homes. It is essential for the app to provide a satisfying shopping experience to its users. 

There are certain features that such apps should have that make the users willing to use e-commerce platforms. Some of the features are given below:

1. Easy login and account registration

The first thing a user does when they download an e-commerce mobile app is to register themselves. If the registration process is lengthy and complex, there are very high chances that the user might reconsider their decision to use the app.

A shopping app should have an easy and seamless registration process with minimal steps. Additionally, it should integrate API to allow users to log in using social media. Social media login eliminates the need to enter personal details again and again.

2. Easy to use (Easy to use and intuitive interface)

The user interface of an e-commerce platform is of utmost importance as it determines how the user will interact with the app. An easy-to-use and intuitive interface engages the user and ensures they stick to using the app.

The app interface should ensure that the user has an effortless experience. The features should be distinctly available and easily accessible to enable simple and chaos-free usage.

3. Searching for products and placing orders

The ‘search’ feature is an integral part of any e-commerce platform. It allows the user to look for their desired items by typing in the relevant name or code.

The app should also allow users to sort and filter the search results according to their preferences. It speeds up the ordering process and saves the user time.

4. Clear product selection criteria

The product selection criteria for placing the order should be clearly visible to the user. They should be able to easily view the available sizes, colors, fits, and other variants.

The app should also provide details about the specifications and features of the product to facilitate easy selection of the desired products.

5. Customer loyalty & rewards tracking

Once users download an e-commerce mobile app, it is crucial to retain them. Customer loyalty programs are an effective way to do the same. These programs are free or paid plans under which the users get early access to the best deals and rewards.

The app can also provide purchase points on frequent purchases the user makes. These points can be used for future purchases and for availing discounts.

6. Secure payment gateway

After a purchase is completed, the app should ensure seamless checkout for the user. The payment gateway needs to be simple and secure. The details of the users, such as bank account details, credit card and debit card details, UPI details, etc., should be kept confidential and should not be shared with any third party.

7. Real-time delivery tracking system

An online shopping app should have an accurate and real-time delivery tracking system. This feature allows the user to know the status of their order and track the shipment in real-time.

This kind of transparency helps foster trust between the user and the e-commerce business. The delivery tracking should be simple and easy to use, and the order status should be clearly visible to the user.

8. Multi-language support

Digital commerce applications should be available in multiple languages, mainly if they cater to a specific region.

The app has two options to facilitate the understanding of the user:

1. Depend on Google Translate to help users translate the app contents into their preferred language. It is a tedious task, and many users may find it frustrating.
2. Create multiple versions of the app/website in multiple languages for the users’ easy understanding. The users can switch between different languages from the dashboard or the settings.

9. Easy product management

Different products should be clearly categorized, and users should be easily able to navigate through various categories of products. The categorization can be based on the product type, customer gender, occasion of use, offers and discounts, etc.

It facilitates easy product management and aids the product selection for the users.

The customer should also be able to manage the products already purchased and should be able to exchange/return the same if they are not satisfied with them.

10. Multiple payment options, including cash on delivery, debit card, and credit card

Top e-commerce applications provide multiple payment options like cash on delivery, debit cards, credit cards, UPI, net banking, etc. This feature is helpful because different users prefer using different payment modes.

Additionally, if an application caters to diverse geographies, it should include a feature for multiple currencies and international payments.

11. Shopping cart/wishlist management

While scrolling through the mobile shopping apps, users often add the products to their shopping cart or wish list instead of purchasing them immediately. The shopping carts and wish lists are an essential feature of shopping apps because they signify that the user does not intend to buy the product instantly but wishes to do so in the future. Thus, this leads to more revisits of the app.

An online shopping app should allow users to easily add products to the shopping cart/ wishlists and access and edit the cart/ list whenever they want.

12. Rating and reviews (Product feedback)

An e-commerce platform should allow users to provide feedback after making a purchase. They should be able to give ratings and written feedback about the product and their purchase experience.

Many users tend to purchase a product after reading the feedback and viewing the product rating. Thus, paying attention to this feature while developing an e-commerce app is essential.

13. Secure shopping (Data privacy regulations)

While developing an e-commerce platform, user data privacy is of utmost importance. The users’ data should be protected and kept confidential at any cost.

Before registration, the app should clearly share its privacy policy and terms of use with the users. The users should be free to choose if and what information they wish to disclose and share with the app.

14. Order history

Once an order is placed, the user should be able to view the same in the ‘Your Orders’ tab. Order history allows the user to keep track of all the orders made by them.

They can access the product invoices, the rating they shared for the product, and the customer service for their order. They can also view the related products or re-order the same product if they wish to do so.

15. Browse social feeds (Influencer stories)

Social media integration is a new and advanced feature of many digital shopping applications. Using this feature, a user can view influencer posts, stories, and videos using the particular product.

They can then decide if they want to go ahead with the purchase. Viewing the product being used by a person, more specifically an influencer, will provide a better idea about the quality and other aspects of the product.

4 Bonus features: Integrate artificial intelligence in your mobile app for online shopping apps (e-commerce)

AI has become very popular in the past few years and has integrated itself with almost every sector. Online shopping is no exception.

Here are four ways in which you can incorporate AI into your shopping app to make it more appealing to the users.

1. Smart baskets

You can use AI to determine which products are most relevant to the user’s search query. Whenever a user searches for a product, the AI algorithm can predict what the user is typing. Additionally, the app can allow users to search using images. The AI can detect the pixels and the luminance in the image to provide the most relevant search results.

For example, Bigbasket uses AI and ML to recommend the most suitable products to the users.

2. Smart recommendations

An online shopping app can use AI to recommend the most suitable products based on the user’s order history and browsing habits. The algorithm can study and understand the app usage pattern, determine the user’s interests based on their search and order history, and then recommend suitable products.

For example, Amazon suggests products based on the user’s past activity on the app.

3. Smart sizing

E-commerce apps can use AI to help users choose the right color or size for their clothes. The app can suggest the colors based on the users’ purchase history. 

The users can also use their mobile camera to virtually try the products to understand better the fit of the clothes and how they look on them.

4. Smart promotions

Online shopping apps can use AI to recommend suitable offers and rewards to users. They can understand the user’s past activity on the app, the payment options used in the past, and suggest the applicable discounts.

For example, apps like Swiggy and Amazon suggest the most suitable offers and rewards for the users.

Importance of choosing the best app developers for your app idea

You have an app idea. Great! But now, you need to look for the best app developers to help you develop the app. You need to choose the app developers with caution because:

1. The quality of the developer determines the quality of the app.
2. The app developers are the ones who will be working on your project, so you want to make sure they are a good fit for you and your idea.
3. Finding someone who knows what they’re doing can help you avoid costly mistakes or setbacks.
4. It’s easier to find a skilled developer if you know what questions to ask them!

Idea Usher has been in the business of providing custom app development services for more than a decade. Our experts have years of experience in developing apps for both Android and iOS platforms. Having worked on more than 100 projects, we strive to deliver the best.

Contact us and launch your own e-commerce application now!

E-mail: contact@ideausher.com

Phone Numbers : (+91) 946 340 7140, (+91) 859 140 7140 and (+1) 732 962 4560

FAQs about online e-commerce apps

Here are some frequently asked questions about e-commerce applications.

1. What are e-commerce applications?

E-commerce applications allow users to purchase their desired products online without visiting physical stores. The users can search for the products and choose from the thousands of results shown.

Such apps can be dedicated to a single type of product like clothing (Myntra), grocery (Bigbasket), etc., or they can be an aggregator of several types of products (Amazon).

2. What are the popular e-commerce applications?

There are several shopping apps existing in the market. Some popular apps include:

• Amazon
• Alibaba
• eBay
• Walmart
• Flipkart
• Grofers

3. What are the types of e-commerce?

An e-commerce platform can be of the following types:

• Business-to-customer (B2C)
• Business-to-business (B2B)
• Customer-to-customer (C2C)
• Customer-to-business (C2B)

4. What top 5 features are a must for any e-commerce site?

Below are the top 5 features that are a must for any e-commerce site:

• Easy to use and intuitive interface
• Secure payment gateway
• Multiple payment options
• Real-time order tracking
• Secure shopping

5. What are the advantages of e-commerce?

The advantages of using e-commerce platforms are as follows:

• Faster purchase
• Cost reduction
• Flexibility
• Better customer service
• More variety of products

The post 15 Must-have features of an e-commerce application appeared first on Idea Usher.

This blog discusses the MaaS business model in detail and explores its several related aspects.

What is the MaaS business model?

A MaaS business model is one where a company provides various transportation services to its customers. Mobility as a service is an emerging concept in the automotive industry, and it is a new way of thinking about car ownership and usage.

Mobility as a Service integrates various transport modes and related services into a single comprehensive on-demand digital platform. It offers users a one-stop destination for accessing several transport modes like bus, train, metro, taxi, bike-sharing, etc. It also provides a platform for payment, ticketing, accessing information, etc.

What does the MaaS business model integrate?

Integration is at the core of the MaaS business model, and MaaS cannot be discussed in isolation from the integration functionality.

A MaaS platform has an integration topology with four distinct levels and a basic level with no integration. These levels are discussed below:

Level 0: No integration

This introductory level provides different services for different modes of transport, with no integration.

Level 1: Information integration

This level integrates information related to travel planners, routes, costs, etc. This level’s added value is the facilitation of decision-making regarding the best trip, transport modes, etc.

Level 2: Booking and payment integration

Level 2 provides single trip services by facilitating public transport ticketing for the taxi, bus, and other transport modes. This level’s added value is that it allows the users to find, book, and pay for the services on a single platform.

Level 3: Transport services integration in passes and bundles

This level provides a comprehensive alternative to car ownership by fulfilling users’ complete mobility needs. For the transport service providers, it attracts customers they cannot reach as single services.

Level 4: Societal goals integration

In addition to the above features, this level focuses on societal objectives like reducing private car ownership and use, thus promoting a more accessible and liveable city.

Advantages of MaaS business model

The MaaS business model is beneficial for all the stakeholders; the individuals, the organizations, and the society. Some of the benefits are as follows:

1. Higher vehicle utilization

MaaS helps to reduce the number of vehicles on the roads. With more private car ownership and lesser travel, the majority of the cars remain unutilized. MaaS solves this problem by putting idle vehicles to use, thus reducing the number of cars in circulation and the amount of valuable space allocated to parking.

2. Simple, intuitive user experience

MaaS provides the users with a simple and intuitive experience to access mobility services. With multiple services integrated into a single platform, MaaS provides ease, flexibility, and convenience to the users to fulfill their transportation needs.

3. Reduced journey time

Lesser vehicles on roads would lead to lesser traffic. The journey time would reduce significantly, making the commute faster. Reduction in journey time also leads to lesser fuel consumption.

4. Increased productivity

When people do not have to spend a significant chunk of their routines traveling, they can utilize the same to work on more productive things. MaaS allows users to increase their productivity by solving their mobility problems.

5. Reduced cost per user

The costs of owning a car include car registration, loan, servicing, insurance, etc., which add up and turn out to be very high. On the contrary, using MaaS allows the users to significantly reduce their transportation costs by availing of public transport services like buses, taxis, or even vehicle renting and sharing services like e-scooter sharing.

How to implement MaaS into your business?

MaaS is not only helpful for individuals, but businesses can also take advantage of this service. Many business organizations use MaaS to significantly lower their transportation costs and increase the productivity of their workforce.

If you’re a business owner, you must follow these steps to successfully implement MaaS into your business.

1. Identify if the business is ready

Before implementing MaaS into your business operations, you must evaluate whether your business will benefit from the integration. An ideal way to perform this evaluation is to compare the current travel costs with the costs incurred using MaaS. This comparison would enable you to decide which approach is cost-effective and whether a complete shift in the travel model is worth it.

Alternatively, you can identify departments that would benefit from MaaS and transition only those departments. You also need to consider the micro-expenses incurred on travel for comparison.

2. Devise a transition plan

The method of transition from conventional transit models to MaaS is worth giving a deep thought. A sudden and complete shift may be difficult and cause more harm than good. Hence, it would be best if you devised a proper transition plan.

A gradual shift with periodic integrations should be preferred over a transition in one go. Gradual changes will make the process much smoother from a logistical and employee perspective.

You also need to carefully analyze the different MaaS options available in the market and choose the one that suits your requirements and budget.

3. Pilot Launch

You must perform a pilot test of ‘Mobility as a Service’ with a few employees before integrating it full-fledged into your business. Doing this allows you to look at the results without significantly impacting your business operations.

The pilot test also makes a section of employees get accustomed to the new transit model, and they can provide relevant feedback about the services. These employees can also train the other employees if and when the service gets implemented throughout the organization.

4. Launch

After the pilot test, you roll out ‘Mobility as a Service’ throughout the company. The previous steps make following this step easier. The pilot test ensures that the bugs and issues are resolved beforehand. You also have the opportunity to train your employees about the service and its usage.

5. Refinement

After a while since the integration of MaaS into your business, you will be able to get better insights into its performance. Accordingly, you can improve and make changes to the service so that the employees get the maximum benefits.

MaaS business model explained with examples

The MaaS business model has become quite popular, and many companies have already started this service. Given below are some famous companies who have succeeded in this business.

1. Uber

Uber is one of the leading MaaS platforms existing in the market. It provides its users with on-demand transportation services. It caters to a variety of users by giving different ride options, such as:

• UberX: Low-cost rides, all to yourself.
• UberX Share: Carpooling option with one co-rider.
• UberXL: Larger cars to accommodate more people.
• Bikes and scooters: Two-wheeler services for faster travel.
• Auto: Three-wheeler service for affordable travel.

2. Lyft

Lyft is a MaaS provider that offers users ride-sharing, vehicle hiring, e-scooters sharing, cycle sharing, car rental, and food delivery services. An interesting thing to note here is that Lyft owns no vehicle. It receives commissions from the bookings, and the booking prices change dynamically based on the demand and supply of the service.

It is the second-largest MaaS platform in the US, after Uber.

3. Mobilleo

Mobilleo is an app that provides an end-to-end booking platform for business travelers. It allows the users to search and book flight tickets, hotel rooms, car rentals, taxis, trains, and more. Users can also create a door-to-door itinerary and book relevant services on the app. Travel documents storage, local attractions discovery, and expense tracking are some of the additional features of this app.

4. Moovit

Moovit is an Israel-based MaaS platform and a journey planner app. It offers an app to navigate public transit networks. It integrates several transit modes like buses, ferries, trains, trams, ride-hailing, shared bicycles, car sharing, etc. Users can access a live map to look for nearby stops and stations based on their GPS location.

5. Whim

Whim is a MaaS app that allows users to plan, book, and pay for their trips using the app. The users get the freedom of mobility and access to various city transport services in one app. It allows the users to travel where, when, and how they want using public transport, trains, shared bikes, e-scooters, taxis, shared cars, rented cars, etc.

Final thoughts

Mobility as a service has added a new dimension to the transportation industry. The integration of technology with mobility has revolutionized transit. The rise of MaaS apps has made it easy and convenient for users to fulfill their daily transportation needs. With a growing demand for on-demand apps, MaaS will only grow in the years to come. The technology is constantly evolving, and it remains to be seen what new developments the mobility sector will see in the future.

If you wish to launch your own MaaS app, you can contact Idea Usher. Our experts provide customized app development services to suit your needs. We provide end-to-end solutions for all your digital requirements, from design to development.

Your dream MaaS platform is just a few steps away. Contact us and take your MaaS startup to the next level.

Frequently asked questions

Here are some exciting FAQs about the ‘Mobility as a Service’ business model.

1. What is a MaaS company?

A MaaS company provides on-demand mobility solutions to its customers. The company usually has an app that the customers can use to access its various services. The app integrates several features like multiple transport services, information, booking, payment, societal goals, etc. A MaaS company has the vision of providing mobility services at the users’ fingertips.

2. How does ‘Mobility as a Service’ work?

Mobility as a Service focuses on reducing car ownership and promoting public and shared transport use. It works based on real-time information provided by the users and other data points. Its working is as follows:

• The user downloads the app and creates an account.
• The app detects the user’s location using GPS.
• The user enters the start and end points for the journey.
• The app suggests the available transport options and other relevant information like the journey time, the fare, etc.
• The user selects the suitable option, books a ride, and makes the payment on the app itself.
• After the ride ends, the user has the option to rate and review the ride.

3. Why do we need ‘Mobility as a Service’?

Mobility as a Service significantly reduces the burden of car ownership on individuals. It reduces the journey time, improves productivity, and reduces the cost per user. It also focuses on societal goals such as lesser pollution, more space, improved infrastructure, improved cities, etc. Thus, Mobility as a Service is needed.

The post A complete guide to MaaS business model and how it is revolutionizing mobility. appeared first on Idea Usher.