With Apple's ATT framework limiting access to IDFAs, predictive analytics offers a way for app marketers to adapt. By using user data, algorithms can predict LTV, churn, and guide user retention. Predictive analytics helps identify high-value users after installation and predict churn by evaluating user behavior. This approach enables marketers to target the most relevant users and allocate resources efficiently. Additionally, cross-promotion within a publisher's app portfolio can prevent valuable users from churning. This comprehensive predictive model improves user retention and revenue, providing a solution to the challenges of the post-IDFA environment.

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