---
title: "Find out how PeopleFun increased LTV with Firebase Predictions"
description: "Find out how PeopleFun increased LTV with Firebase Predictions"
published: "2020-07-30"
last_updated: "2020-07-30"
authors:
  - "Laura Willis (Developer Marketing)"
categories:
  - "Case Study"
  - "Predictions"
canonical_url: "https://firebase.blog/posts/2020/07/peoplefun-case-study"
---

# Find out how PeopleFun increased LTV with Firebase Predictions

*Published July 30, 2020 by Laura Willis (Developer Marketing)*

---
![Animated banner showing Firebase logo with PeopleFun](https://firebasestorage.googleapis.com/v0/b/first-class-blog.appspot.com/o/blog-assets%2F2020%2F07%2Fpeoplefun-case-study%2Foptimized%2Fpartner_logo_peoplefun_v2.jpg?alt=media)

As many game developers know, customizing your game for different types of players is a great way to increase player engagement and retention. That’s why Firebase offers products like [Analytics](https://firebase.google.com/products/analytics), [Remote Config](https://firebase.google.com/products/remote-config), [Predictions](https://firebase.google.com/products/predictions) and [A/B Testing](https://firebase.google.com/products/ab-testing) that allow you to tailor your app’s content and configuration for different player segments based on profile, past actions and future predicted behavior. For example, you can provide different onboarding flows for players based on their country or simplify a game level for players who are predicted to churn in hopes of keeping them engaged.

One key area for personalization includes monetization, but figuring out the right strategy for the right group of players can be tricky. That’s why [PeopleFun](https://www.peoplefun.com/), maker of some of the top word games on Android and iOS, turned to [Firebase Predictions](https://firebase.google.com/products/predictions). They used Predictions in their hit game Wordscapes to create player segments based on predicted behavior and identify players who were unlikely to make in-app purchases in the next seven days. Those players were shown more rewarded video ads, while the players likely to make a purchase were not. This helped PeopleFun achieve the right balance between ads and IAP.

Read more about how PeopleFun used Firebase Predictions to increase lifetime value by up to 5% [here](https://firebase.google.com/use-cases/peoplefun/), and [check out](https://firebase.google.com/games) other ways Firebase can help you supercharge your games!