运用 Google 的机器学习技术拓展您的应用
Firebase Predictions applies the power of Google’s machine learning to your app analytics data to create user segments based on predicted behavior. Without requiring anyone on your app team to have ML expertise, Predictions can give you insight into which segments of users are likely to churn or spend (or complete another conversion event) so you can make informed product decisions.
Predictions is integrated with Remote Config so you can customize and alter your app experience for users in different segments. For example, you can show ads to users who are unlikely to make an in-app purchase as an alternative monetization strategy.
When defining a Remote Config, you can combine Predictions with other targeting options including audiences, user properties, device language, OS type, app version, and country.
Predictions creates user groups that can be used for targeting with notifications and In-App Messaging, right from the Firebase console. This way, you can engage users before they churn, nudge users who are likely to make in-app purchases, and much more.
Prediction data can be exported to BigQuery for deeper analysis or use in third party services.
You have visibility into the factors the ML model considers (like events, device, user data, etc.) to create each predictive segment. You can also see performance metrics, which help you understand how accurate each prediction is. With these insights, you can better calibrate your risk tolerance settings.