Question: Can you recommend a solution that uses machine learning to predict LTV and in-app conversions for mobile apps?

If you're looking for a system that uses machine learning to estimate LTV and in-app conversions for mobile apps, Jampp is worth a close look. The company's system is designed to optimize mobile marketing with machine learning and predictive algorithms, constantly monitoring behavioral and contextual signals to ensure the best possible return on investment. Among its features are full funnel management, creative performance optimization, and detailed reporting, all of which have helped mobile companies across many sectors achieve sustained growth and incremental performance.

Another good option is AppFlyer, an app marketing and growth platform that can handle everything from app performance measurement to user acquisition and retention. It includes a range of tools for measuring app performance, including ROI measurement, creative optimization and incrementality measurement. With partnerships with a range of global partners and a focus on protecting customer privacy, AppFlyer can help businesses optimize user acquisition, engagement and LTV. That makes it a good fit for the gaming, shopping and financial services industries.

If you're looking for something more specialized, AppLovin offers an all-in-one suite for app monetization and user acquisition. Its AI-powered advertising engine and multi-channel support make it a good option for big-scale growth. AppLovin also offers unified analytics for performance optimization and CTV monetization, which can help businesses in gaming, media and other industries to optimize revenue through targeted advertising.

Last, Appier offers a range of AI-powered tools to optimize marketing, customer experience and performance. That includes tools for predicting and targeting high-LTV users, campaign automation and conversion optimization. Appier's platform has been used to deliver big improvements in user acquisition and conversion rates for gaming, e-commerce and financial services.