Analyzing App Analytics and Ad Performance can help Optimize App Advertising Revenue
Smartphones are now an everyday part of our lives. Naturally, with the growth of mobile users, there has been an increase in apps and app monetization tools. With that, we have seen app analytics tools and reporting dashboards come to life in a short time. This makes identifying the right app tracking and reporting system to monitor app advertising performance challenging, especially if you are looking to improve your ads-monetization strategy with analytical insights. Here's a quick guide on what key features to look for:
One of the top priorities for any app analytics platform should be its ability to integrate measures across multiple channels of reporting. Google Analytics for Firebase brings together a wealth of reporting from user engagement metrics, app advertising metrics, app revenue performance, ad network performance, retention measures, and more. It is a holistic solution that informs business decisions from app marketing spend to app monetization revenue.
AdMob users can earn app advertising revenue a few different ways:
Mediation with the AdMob network (and over 40 third-party networks) allows for the maximum fill rates to increase your earnings. You can also enable ad network optimization to generate the highest CPM from your mediation stack.
Cross promoting your apps
If you have other apps, you can promote them to your existing app users by using our free house ads.
Run your own directly-negotiated ad deals with advertisers through AdMob Campaigns.
Through Google Analytics for Firebase, AdMob now reports all of your revenue streams in one place so that you can track the health of your monetization effort from one dashboard. This way, you can measure your advertising earnings and in-app purchase revenue to make smarter decisions about which monetization channels to grow.
By linking your AdMob app(s) to Firebase, you will be able to build audiences within Firebase. This allows you to segment your users, then view reports to understand which segments are generating the most revenue based on their Lifetime Value (LTV) score and Average Revenue per User (ARPU) measure. From this data, you can build customized ad experiences for each of your audience segments and track value growth. Furthermore, you can then use this data to define the optimal user acquisition strategy for your app.
When it comes to your maximizing your app advertising revenue, a strong app analytics platform which reveals granular user-level data and business performance is important to leverage.
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