Applovin Max tells you how much your users are worth, Firebase tells you what your users are doing. Only by combining these datasets can you see what your app user actions are worth.
When it comes to how mobile companies are planning how to best utilize data for growth in 2022, we’ve seen some trends and applications that we’re excited to see gain traction.
From company staffing, to the application of machine-learning, the underlying theme of data utilization has become table stakes for proactive growth strategies and we’ve shared some of our favorite trends for 2022.
2021 was a year of change for app developers. The role of data, specifically, has been a lynchpin in the cause and effect of many of these changes.
It occurred to me the other day a mobile app company’s size and —more importantly—sophistication made for a trifurcation of strategies and aspirations in the coming year. I’ve outlined them in a post in what I hope provides an insightful view of how your company can use data for a clear advantage in the coming year.
Applying data science to your app may feel ethereal and out of reach for a small indie app publisher. But this isn’t the case. In fact, it’s easier than ever to leverage data to make intelligent decisions to help with your app growth and performance.
We cover how any app developer can quickly and easily predict the lifetime value (pLTV) of a user on their app on the first day without needing to invest in data scientist or hire a full blown data team.
An increasingly popular use case for the AdLibertas data platform is using accurate user-level revenue to measure Firebase AB test outcomes. To help demonstrate the potential, I’ve put together a primer to share how combining Firebase AB tests with ad revenue will give app developers better measure Firebase test outputs.