While the optimal goal would be to maximize the total future value of all users acquired through the campaign, this appears to require months to years of waiting for acquired users to actually make purchases or pay subscription fees, which is much too late to be useable by ad networks in their optimizations. Hence, marketing and growth teams are left with using early proxy events correlated to each user’s future value, such as clicks, signups, free trials, early conversions, or the value of first purchases.

However, now there is no longer a need to keep using such proxy events. Churney’s predictive lifetime value (pLTV) models accurately estimate the future value of every single user after as little as a few hours of user interactions on your platform or service. Our pLTV estimates are automatically sent as events in real-time to your ad networks, instead of your current proxy events, enabling them to learn the exact types of users that will maximize the profitability of your campaign based on each user's future value.

Integrating directly with your selected data warehouse sources has the immense benefit that our pLTV models can learn from the entire interaction sequence in a user’s journey. Using advanced machine learning and AI, our pLTV models incorporate the sequential and temporal dependencies between events to learn highly accurate LTV predictions, while using as few hours of user data as needed for the predictions to have maximum effect when sent to the ad networks for campaign optimization.