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Introducing pLTV Forecasting for Audience Reporting

Predictive Lifetime Value (pLTV) forecasting for mobile apps.

Quickly get accurate, user-level predictive customer lifetime values.

With no-SDK or technical integration required, AdLibertas pLTV Forecasting is the fastest and easiest way for measuring future values of your users.

pLTV Use Cases:

Determine the future LTV of a UA campaign

Compare future LTVs of the variants of your AB tests

Find the value of users who’ve completed 5 games on day 1

How it works:

 

With just credentials, combine all of your mobile app data sources into a single data repository – then easily create user audiences and apply best-fit curves to determine pLTVs of your users.

Customer case studies:

Predict user LTV early and accurately. Learn how Random Logic Games increases user pLTV accuracy and saves time by leveraging Audience Reporting forecasting.

How do you set an optimal subscription price? Learn how cult-classic Narwhal for Reddit uses predictions to balance user-subscription prices against in-app ad revenue to optimize his earnings while giving his users optimal choice.

See pLTV Forecasting in Action:

 

A brief run-through of forecasting capabilities using various mathematical prediction models.

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