How Mobile Analytics Help Improve Conversion

Measuring the effectiveness of marketing techniques and strategies is the key to mobile analytics.

Mobile analytics, as we have mentioned in our previous mobile analytics blog, is the process of collecting and analyzing behavior data from users on mobile devices. Conversion, for mobile apps, mainly refers to the number of visitors who have taken the desired actions on your app, two major of which are installing the app and making an in-app purchase or subscription.

To know whether the conversion is improved, we need to know what the present conversion rate is, and take it as a benchmark to measure the effectiveness of any techniques or strategies used to optimize it. And that’s why mobile analytics kicks in——we need to gauge data that matter, which serve as both a north star to the direction of our optimization and a sign of whether our efforts pay off to improve conversion.

So how exactly mobile analytics can help improve conversion? Let’s dive into it.

How Mobile Analytics Help Improve Conversion?

The significance of measuring data and using analytics is actually no secret. They can help find ways to improve conversion and get more users to take the desired actions. Actually, you can’t take any actions without mobile analytics. In general, mobile analytics functions in the following ways to improve conversion.

  1. Mobile analytics helps with product decision-making that boosts conversion
    With real-time mobile analytics, you can track how users are engaging with your apps or features at any time. This will allow you to quickly identify any problems or areas of improvement, so you can make quick decisions and changes to remove any user friction and increase conversion rates.

    For example, by analyzing the conversion funnel, you find that a lot of users quit during the onboarding process. Then what you should do is re-examine your onboarding process and try to understand what friction points users are encountering. Making a quick decision and fixing this critical issue will definitely help with the conversion rate.

  2. Mobile analytics makes marketing campaigns more effective
    Doing a survey about what features your users find most valuable and what interests them most can help you create more targeted campaigns and tailor your messaging to meet their needs better. When what you offer satisfies users’ needs, there will be more conversions without doubts, and on the other hand, makes your marketing campaigns more effective.

    Mobile analytics can also help compare the effectiveness of different campaigns by measuring and comparing the conversion rate of the different campaigns. In this way, it helps make a better marketing decision next time, which means a more efficient marketing campaign.

  3. Mobile analytics assists with the optimization of UI/UX to convert more users
    UI/UX is the first impression of your app to users. And sometimes users get confused or frustrated by elements, which results in drop-offs. That makes UI/UX an important factor for users to decide whether they will move on to the end of the conversion flow or not.

    However, design trends change constantly and users update their preferences regularly. So UI/UX teams should use mobile analytics to track user engagement and preferences in real-time and design the UI/UX according to what users like, which in a way, will boost the conversion rate.

  4. Mobile analytics reflects bugs that are hindering the conversion rate
    Bugs and crashes often lead users to leave your app without converting. The reasons are obvious. Users have a bad first impression of your app and an awful user experience, which makes consider your app unreliable, so they easily quit.

    To ensure a flawless in-app experience for your users, always keep an eye on mobile crash analytics, which can monitor the malfunction or error of a certain function. Taking quick action to fix bugs builds trust and creates a fluent user experience, which are the keys to conversion.

  5. Mobile analytics recognizes user patterns so you can better target them
    Segmentation and cohort analysis for mobile apps allows you to get a deeper understanding of user behavior and identify groups with similarities.

    With this insight, you can customize product changes to certain groups. For example, segmenting users based on their device type or location can help you understand their different interactions in your app. So you can perfect your features utilization in order to better entice them to pay for your services. 

    Understanding your user’s interests can also help target them with the most efficient strategies that will attain the best conversion rates. For instance, target ads about a particular product to certain cohorts that are more likely to purchase.

  6. Mobile analytics encourages new ideas to convert users.
    Apart from maintaining the existing features that are more attractive to users and more easily converting them to paid users, you can also use mobile analytics to find new opportunities that can further grow your apps. For example, developing a complementary feature that powers the existing one can further increase the conversion rate.

Improve Conversion Rate with is a mobile app analytics tool that helps app companies analyze their in-app subscription data from iOS and Android. In addition to the basic tracking of real-time subscription data, such as installs, trials, subscriptions, revenue, conversion, MRR, LTV, etc. that you can view on the real-time dashboard, here are some tools that can help you understand your users more and tailor your service to improve the conversion rate:

  • Cohort
    Cohort analysis helps you segment users of similarities and understand their behaviors in your app in a more flexible way. So you can get better user insights and use what you learn to tailor personalized services or information that can easily onboard them. In this way, you can further boost your conversion rate.

  • Funnels
    Funnel analysis is a powerful tool to understand user conversion flow of each user acquisition channel: what they do in each step to the final conversion and where they quit. This information gives signs of how you can optimize features and fix any unexpected bugs. Funnel analysis in can be integrated with attribution tools, which will show what the most effective marketing channel is and the quality of the users acquired. Achieve higher conversion with this insight and make your marketing budget best pay off.

  • Suggestions’s AI-powered suggestions features can serve as mobile analysts. It notifies you about any abnormality occurring from the app subscription data, so you can focus on the issue and fix it in time to ensure a better user experience, which is one of the key factors that users tend to pay for your services.

Final Thought

Mobile analytics is an essential tool for improving conversion because it helps understand how users interact with your mobile app, monitor the functioning of app features and check the effectiveness of marketing campaigns. So you can come up with better strategies and techniques to achieve a better conversion rate. Using a good mobile analytics tool to help with the data analytics makes your work easier while driving app revenue by increasing the conversion rate.  

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