The mobile app is perhaps the most critical use case for getting predictive right.
When a company’s future hinges on what happens in the first 90 days after user acquisition,
descriptive analytics (describing what happened in the past) can be ineffective.
Predict every step of the user journey
CHURN & RETENTION
Keep more users with predictive
Beat dwindling retention trends by acting in advance
Worldwide 90-day retention for mobile apps is just 4%. Whether optimizing for 3 days, 30 days or 90 day cliffs, mobile app makers and marketers need to know exactly what factors lead to more engagement and retention, and how to take action to counteract mobile app users’ natural inclination to churn.
Maximize lifetime value
Set up models to run continuously, and find upsell opportunities
Predictive lifetime value (pLTV) is the white whale of app analytics. Make pLTV achievable and scalable to every game and app, and by every feature you want to predict for.