Avid.ly, a pioneering mobile application developer, has officially released UPLTV, the world’s first user lifetime value (LTV) optimization platform powered by artificial intelligence (AI). Pilot program participants have seen averaging 30% user LTV increase, with some over 50%.
Avid.ly has positioned the product to solve age-old business model challenges facing independent mobile game developers and startups alike. Combining machine learning and big data from over one billion users, UPLTV analyzes user behavior in real time to balance user retention with monetization revenue and developer profit.
Analysis of User Behavior
UPLTV begins by leveraging Google’s TensorFlow and using long short-term memory (LSTM), a recurring neural network (RNN), to analyze user behavior. This includes how players in the aggregate and individually interact with each game, including when players launch or exit a game, make in-app purchases and their sensitivity to advertising.
Mediation of Monetization Events
The platform automatically mediates what monetization events – opportunities for the player to make in-app purchases or view advertisements – to embed in context-appropriate scenarios. By testing player responsiveness and forecasting 7- and 14-day retention rates, it can optimize subsequent monetization event exposure and frequency to maximize player LTV to a 95% confidence interval.
“Having developed and published mobile apps and games at scale, we intimately understand the headaches faced by developers and startups,” says Brain Xie, CEO of Avid.ly. “UPLTV is the culmination of all our experience tackling the problem of guaranteeing current and subsequent revenue while keeping players immersed in the game.”
Xie notes that UPLTV is just the first step in AI-powered LTV optimization. “Our mission is to blend powerful, time-saving technologies into game development. Our goal is to help our partners convert user gameplay into the sustainable income that allows them to create delightful experiences for their audience.”