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If you have to make your app a success, you need to measure the right metrics and iterate and optimize your apps to your target goals. To do so, here are the top 10 metrics to measure user engagement in your mobile apps. To achieve app success, the very first step is reaching a substantially large number of downloads. This is considered the most important metric for measuring the user engagement since the vital objective is to consolidate a broad user base. Understanding and tracking the source of your app installs is also very important. From a marketing point of view, this will help you evaluate the effectiveness of your marketing efforts and advertising channels.
Tools you can use for this: Play Store and App Store reports. Tracking users for your mobile app is requisite to build better engagement with your users, like launching successful app marketing campaigns, tracking specific behavior and segmenting audiences. In addition to measuring engagement, getting these numbers helps planning for the growth of your app.
The active user metric is different from installation and downloads metric because it sees if users are actually using the app on a regular basis rather than just downloading it. The number of active users on your app should be higher than the new user's number as this would indicate that there are recurring users in the app.
Stickiness is also an important factor and by knowing which features are making your app addictive or sticky, you will know the key parts of your app to drive engagement. This could be a way to measure the addictiveness because it tells how soon or not soon users are returning to your app. More engagement would mean longer session durations.
Also apart from the session length and the number of sessions per day, developers can identify those customers who spend a lot of time on the app just to improve the experience for less-engaged users. Time in the app is a function of session frequency and session length which tells how long users are staying in your app on a daily, weekly or monthly basis and similar to other mentioned metrics this also helps increase the understanding of the user behavior and app usage patterns. A screen flow analysis can be used to track a total number of visits per screen, exits by the screen and the navigation flow between screens.
This analysis would help you get insights on what users did on any particular screen and where they went after that. By looking at the navigation pattern of your users, you surely will get a clear sense of drop off screens, conversion road bumps and problem areas.
Mobile app analytics - how to measure user engagement on mobile apps . A screen flow analysis can be used to track a total number of visits. Track what users do in your app after they've installed Track what happens after an app is installed. Increase Mobile App Engagement: Google Best Practices.
With all this data in hand, you can create in-app marketing campaigns to get back dropped users and implement redesigns to create clearer funnels. Google Analytics , Mixpanel , Localytics. The percentage of users that return to your app in last 30 days defines retention of the app. In fact, stickiness and retention go together to see how addicted users are to your app. By making some key changes to your onboarding flow after analyzing the behavior of both who retain and who not, you can ultimately increase the retention rate.
As the costs for install are rising, it's better to focus on retaining rather than acquiring. Tracking users allows segmenting audiences and tracking specific user behavior.
This way, you will be able to also launch cool app marketing campaigns. There are different ways you can measure user data. Use any possible filters to filter out users and to segment them into comprehensive groups.
Use the data wisely. There is no use of an app that has a lot of downloads and little or no engagement.
The session length is basically the time frame between the opening and closing of the app by the user. This metric shows how much time the user interacts with your app or spends in it. If the sessions take long, then this means the users are more engaged. But note that one session length might be considered long enough for one app and it can be considered too short for another one.
It all depends on your niche.
Keep a running tally in order to understand the relative health of your app. If the sessions take long, then this means the users are more engaged. Also apart from the session length and the number of sessions per day, developers can identify those customers who spend a lot of time on the app just to improve the experience for less-engaged users. The more users find your app valuable, the more loyal users you retain. Set up a time to chat with one of our experts and get a fully customized demo. Compare daily, weekly or monthly active users between device properties.
So, make sure you know what you are measuring. Long sessions are perfect but there is another thing to measure about them — the intervals between user sessions. An interval is the time between two consecutive sessions. If the interval takes too long, then you should start worrying. But here again, it all depends on the niche your app is in. Being able to browse through navigation paths is a great feature that not all app analytics tools offer.
We at Inapptics have decided that our customers should have the chance to explore them. These are the sessions that have the same start and end point and can be sorted by length, popularity, recency of occurrences and more.
Screen flows help see the big picture. Due to them, you do not have to go to each and every user session to analyze it separately. Instead, you can look at a particular screen flow and see what users did while interacting with your app and what kind of navigation path they have chosen. Of course, there is a functionality to browse through individual user sessions, if you are interested.