Season 7, Episode 23: Building ad tech for the chatbot era (with Tal Shoham)
About this episode
The episode discusses the evolution of ad tech in the context of AI-native applications and their monetization strategies.
We discuss the transition of AI-native applications toward ad-supported monetization models. Among other things, we cover: Whether AI-native apps will follow the mobile gaming trajectory by adopting hybrid monetization models to reach massive global audiences How the high operational costs of AI inference necessitate a move toward ad-supported tiers to maintain sustainable profit margins Why the granular intent signals captured in LLM conversations offer a superior alternative to traditional search-based advertising targeting mechanisms What new native ad formats will emerge to integrate seamlessly into AI workflows without disrupting the core user experience When the venture capital funding environment will demand more disciplined monetization strategies from AI startups over pure user growth How established ad-tech infrastructure from the mobile gaming era can be adapted to serve the unique needs of AI developers Thanks to the sponsors of this week’s episode of the Mobile Dev Memo podcast: INCRMNTAL . True attribution measures incrementality, always on. Xsolla . With the Xsolla Web Shop, you can create a direct storefront, cut fees down to as low as 5%, and keep players…
Sponsors
INCRMNTAL, Xsolla, Branch
More episodes of Mobile Dev Memo Podcast
- Season 7, Episode 24: Understanding rewarded user acquisition (with Tricia Han and Sampsa Jaatinen)
- The Prosperous Society
- Season 7, Episode 22: Quantifying the advertising value of cookies (with Garrett Johnson and Shunto Kobayashi)
- Season 7, Episode 21: The AppsFlyer investment and the new dynamics of mobile attribution (with Olivia Kory)
- Season 7, Episode 20: Shopify as a marketing operating system (with Venkat Prabhu)
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