# Firebase Predictions: User Segmentation and Monetization Strategies

DevFeed: [Firebase Predictions: User Segmentation and Monetization Strategies](<https://devfeed.tech/articles/firebase-predictions-39023.md>)

Original publisher: [Read original article](<https://vladimirj.dev/firebase-predictions/>)

Author: Vladimir Jovanović

Published: 2020-05-22T09:44:00Z

Content type: tutorial

Language: en

Sources: [Vladimir Jovanović](<https://devfeed.tech/sources/vladimir-jovanovic.md>)

Topics: [Firebase](<https://devfeed.tech/topics/firebase.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [Users](<https://devfeed.tech/topics/users.md>)

Tags: [android](<https://devfeed.tech/tags/android.md>), [firebase](<https://devfeed.tech/tags/firebase.md>), [firebase-predictions](<https://devfeed.tech/tags/firebase-predictions.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [programming](<https://devfeed.tech/tags/programming.md>), [push-notifications](<https://devfeed.tech/tags/push-notifications.md>), [remote-config](<https://devfeed.tech/tags/remote-config.md>)

## AI overview

This introduction explains how Firebase Predictions applies machine learning to Firebase Analytics data to segment users by their likelihood of taking specific actions within the next 7 days. It presents retention and monetization strategies using Remote Config, ads, push notifications, and in-app messages.

## Source excerpt

Firebase provides a wide variety of tools, something for every developer and something for every problem. But did you know that it has a tool that enables you to see into the future?!