How can you get pre-ATT levels of behavioral targeting in a privacy-safe way? Can you?

In this Growth Masterminds we’re chatting with the co-founder of an AI-powered tool that says it analyzes game play and user behavior to understand gamers and what they do. Then it recommends games that they’ll like, while rewarding them for playing recommended games.

Our guest is a co-founder of Gamelight, Gunay Aliyeva.

Host John Koetsier interviews her about Gamelight, an AI-powered tool that analyzes user behavior and gameplay for targeted recommendations. The tool utilizes AI algorithms and a user's data (with given permission) to suggest games based on their preferences. Gamelight endeavors to minimize game downloads and maximize user retention through personalized recommendations. They also discuss Gamelight's arbitrage strategy of acquiring users at a generalized level, then offering highly targeted advertising opportunities to their partners, focusing on long-term user quality and satisfaction. They also touch on the company's expansion into non-gaming apps, the use of a consumer rewards system, and their global reach.

00:00 Introduction01:15 Exploring the Functionality of Gamelight03:02 Discussing the Privacy Aspect of Gamelight04:32 Understanding the User Acquisition Strategy05:12 Challenging the Traditional Ad Network Model06:14 The Long-Term Vision of Gamelight07:08 Understanding User Behavior and Gamelight's Approach10:03 Discussing the Pricing and Value Proposition of Gamelight11:08 Expansion into Non-Gaming Apps15:14 Understanding the Loyalty Program of Gamelight16:56 Discussing the Global Reach of Gamelight18:35 Wrapping Up the Discussion