7 Ways Big Data Is Shaping the Future of Mobile Apps and What Your App Development Company Can Do About It

The amount of data that we create on a day to day basis has grown tremendously. It has reached a point where we have created more data in the last few years than we have created throughout history. This poses security storage and privacy challenges as well but if we can extract useful insights out of that data and make informed decisions then it can also be an asset. That is exactly what big data is all about.

Big data has become a buzzword lately. With big data analytics, you can see which app features users are spending the most time on and which app features they are spending less time on. This way, you can focus more on features users are demanding and improve features that users are spending less time on.

If you are an app developer or app development company in Dallas and wondering how will big data impact the future of mobile apps, then you are at the right place. In this article, you will learn about seven ways in which big data will transform the future of mobile apps.

1. Artificial intelligence and Machine Learning

One of the biggest advantages of artificial intelligence and machine learning algorithms is that it can identify patterns in datasets. According to digital brand management specialist Muneeb Qadar Siddiqui,this can come in handy in highlighting areas that need more work. For instance, if users are quitting your app after clicking on the app icon, it can tell you what’s the root cause of the problem. It could be a poor user interface or long loading times. Irrespective of what it might be, you can fix this issue to deliver a better user experience to your app users. That is why manycustom software development services have started using AI and machine learning in mobile app development.

2. User Engagement

There are some apps that we used more than others. Did you know why? Because they have a higher app stickiness which not only keeps us glued but also persuade us to come back for more. You can improve the app stickiness of your mobile app by analyzing metrics such as duration of sessions, screen flow and churn. Incorporate a built-in feedback mechanism to know what users feel about your mobile app. Use user feedback to make changes to your future releases and improve the user experience of the mobile app.

Users can quickly get bored of your app features no matter how innovative they might be. You need to keep your app up to date and continue to add new features regularly in order to keep the user interested otherwise your users will lose interest in your app and abandon your app or switch to an alternative app. As a business, you don’t want that.

3. Real-Time Analytics

The pace at which the mobile app development industry is evolving is mind-boggling. Real-time analytics help businesses visualize what’s happening right now and enable businesses to make changes on the fly. This means that you can rearrange the content layout of your app to highlight a particular element or piece of content that you want users to see.

One of the best examples of businesses leveraging real-time analytics is Uber. It uses real-time data to identify traffic patterns and weather conditions. Moreover, it also uses location data to identify where the drivers are at a given time. This allows them to send ride requests to the nearest riders so their customers won’t have to wait long.

4. Resource Optimization

Digital transformation and automation have transformed businesses for good. Did you know that the data is the engine that is driving this change? Big data can help you identify a surge in demand and adjust resources according to the need so that the resources are neither wasted nor underutilized. Additionally, it can use the most cost-effective and highly efficient process for data processing and collection. Developers can even automate processes in order to capture, interpret and respond to data collected by mobile apps.

5. Marketing Strategies

One area where collecting user behavior data can really come in handy is in marketing. You can develop highly targeted campaigns and marketing strategies when you have data about how customers are interacting with your mobile app. The better you know your customer, the easier it will be for you to grab their attention and keep them engaged with your mobile app. Look at demographic data, data about user purchase patterns and user behavior data before creating a buyer persona. Next, you can send tailor-made messages to audiences for better results. When a user receives messages that relate to them they are more likely to act.

In the context of app development, understanding user behavior is crucial, especially when it comes to marketing your app effectively. Utilizing collected data enables the creation of targeted campaigns and strategies based on how customers interact with your mobile app. The insights gained from demographic data, user purchase patterns, and behavior data contribute to crafting detailed buyer personas. With this information, you can personalize messages, increasing the likelihood of user engagement and action. This tailored approach enhances your ability to captivate and retain users, making your mobile app more effective in the competitive market.

6. Cost Optimization

In today’s highlight competitive business environments, businesses are looking to extract as much value from every dollar as they can. Since budgets are tighter, they want to ensure that every dollar they spend delivers a better return. Use technologies such as low code development which harnesses the power of big data and machine learning to shorten the app development cycles. This will help businesses reduce the cost and also bring apps faster to the market. The end result will be better cost optimization and higher revenue.

7. Personalization and Predictive Analytics

Last but certainly not least is predictive analytics and personalization. Netflix uses a combination of big data, machine learning and artificial intelligence to offer content suggestions that are not only super relevant but also leads to the majority of its views. Amazon also uses it to adjust its pricing based on product availability and offer product suggestions that users might like to buy.

In fact, they also use it for images so they can show you images that you are most likely to click. You can also offer personalized recommendations and send personalized messages to the app users and your app users will love it as users are now demanding a personalized experience from mobile apps.

How will big data influence mobile app development in your opinion? Share it with us in the comments section below.