Everyone is trying to get an edge. It doesn’t matter what sort of business you are in, having that extra bit of knowledge or experience can make all the difference. This is true if you are a start-up or a Fortune 500 company. For app companies that use apps as a way to interact with their customers, the most important thing is understanding their client base. This is especially true if you are working with subscribers since they are the lifeline of the company. But the question arises, how do we better understand subscribers?
While there are different metrics for the success of an app, the best way to understand an app’s users is through subscription analytics. So, what is subscription analytics? Subscription analytics is a way of understanding the behavior of app users. This method of analysis factors in location, age, device, and many other factors to determine how subscribers interact with an app. This model of analytics extends beyond basic demographic analysis and works to create a model on how to improve your business.
Tracking the behavior of app users requires a well-built infrastructure integrated with various tools to help understand who the users are. Where they are. And what are they doing with your app? Some of these tools include heatmaps for your platform so you can see what users are doing, and how your app appears and works on different devices. With app analytics, a company would be able to see their iOS and Android analytics. This gives them not only an advantage with customer retention, but also improves revenue by increasing the total mobile subscriptions.
There are different ways to understand mobile app analytics and one of these is through A/B testing. As the name implies it offers a choice of two options and then gauges which options users prefer. This can be for comparing a checkout page which helps expand the end of the sales funnel. An improved paywall experience can boost your sales conversion rate. Some companies that offer mobile subscription analysis will also offer more complex testing and give even more options to test user experience.
Another way to measure subscriber behavior is by comparing user subsets called cohorts. Cohort analysis involves taking two or more groups of subscribers to your app and comparing their behavior. For example, maybe your app received more purchases per subscriber in Germany than it did in France. Cohort analysis gives you such insights so you will be able to understand how to allocate your resources such as your company’s marketing budget. Having this data is not only useful but necessary since it gives a business a roadmap on how to connect with their subscribers.
Cohort analysis is not the only way to understand how users interact with an app. As mentioned earlier, a great tool that app analytics companies use now are heatmaps. Heatmaps show where your users look, click, and interact with your platform. While it shows you where users engage, it also shows where they don’t. Perhaps some areas on a page need to get more attention, and from here you can work with your devs on how to improve this. Without the heatmap though, a company would never have access to this information.
There are many different companies offering a diverse array of tools for app developers and companies. One of the more well-known of these is Mixpanel which provides event-based insights into customer actions. They offer a customizable dashboard so you can decide which different metrics to view and understand. Mixpanel app analytics show what users do (and don’t do) when using your app. As one of the key providers of understanding user experience, they are not the only ones offering such tools.
One of the newer and more innovative app analytics companies is Appway. Appway offers A/B testing, heatmaps and is integrated with many other helpful analytics tools. As a newer company, it has some new things to offer such as in-app suggestions. Appway not only sees what your subscribers are doing, but with machine learning-based technology it can also give you live advice on how to improve your interaction with them. Their innovative approach sets them apart from some of their competitors which makes them a great option for analyzing your app’s subscribers.
Another well-known app analytics company is Amplitude. Amplitude takes a more product-oriented view of subscriber analytics. This works well as it is a premier company in the area of subscriber analysis. Amplitude works to analyze apps that work on different platforms such as iOS/Android and websites. This comprehensive way of looking at users means that businesses that use their service can get a big picture view of their subscribers while letting them better manage their time. Amplitude will likely continue to be a major player in in-app analytics.
Google Analytics was one of the pioneers in subscriber data analysis. Many of the key features of data analytics came from its team. While it no longer has the market cornered, it is still one of the biggest players in the industry. Google Analytics offers companies a chance to have a massive amount of data about their customers and what they do with their platform. With Google Analytics, an app developer will be able to not only get data relevant to their users but also be able to visualize the data. The reason this is important is that being understood clearly is key when demonstrating your company’s worth to others.
The Future of Subscriber Analytics:
Subscriber analytics and app analytics are likely to expand in the near future. As the world becomes more globalized and access to the markets grows, the base number of entrants into the market will also continue to grow. This means higher potential revenue for companies across the board. With new users though, comes greater competition, and to be first (or even keep pace), companies will need to better understand their users and how they engage with apps. Appflow.ai is a golden example of a fresh company built specifically to help subscription based companies with data analytics and grow.
As technology grows, so will companies’ ability to gather and use data. With the advent of Cloud-based technologies, AI, and machine learning, companies will have to continue to innovate or be left behind. This is great news for service providers who use apps as a way to obtain subscribers. For them, these new technologies will provide an opportunity to reach customers and improve their app’s performance.
The Core Reason for Subscriber Analytics:
Although there is a lack of clarity in the global marketplace, that doesn’t mean you should be working in the dark. This is where Appflow.ai comes in on its white horse, like a prince in shining armor to save you from data darkness. Having insights into how your users engage with your content enables you to offer more and retain your customers. Apps may be relatively new, but the notion of “the customer is always right” is as old as commerce and that is the pretext for subscription analytics. The idea that we must know, then provide.