AdLibertas Blog

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.

Applovin has announced a due-date date for MoPub’s sunset and while Applovin hinted at an aggressive timeline early on, many guessed the transition would happen slowly over 2022. They were wrong. As of today, the entirety of MoPub will be shut down at the end of Q1: March 31st, 2022.

This article walks through thoughts and recommendations on making the switch.

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.

Using data isn’t just for the big app companies.

This article outlines how data can drive up profits and can help you set a defensive barrier against market changes for any sized app.

Leading companies go to great lengths to obtain, protect and use data to their advantage. And it’s no secret why, data is the cornerstone for mobile apps.

Correctly leveraged, your data will tell you what to do, when to do it, it will increase your profitability and decrease your uncertainty for the future. Quite simply data is your company’s biggest asset. This article goes in-depth on how you can use it.