Session: AI x UA – Redefining Creative Strategy For The Next Decade
summary
Reforged Labs presents an AI marketing co-pilot trained on a proprietary, daily-updated scraped ad corpus of video game creatives that are manually tagged for hook, pacing, emotion and CTA; the system ingests an app store link or APK plus past performance data, generates storyboards, then synthesizes ad videos with a ~1-week lag for performance signals. Claim: generative models will keep improving, enable hyper-personalization at scale and AI agents that auto-produce and iterate variants, while targeting and privacy remain the main limitations.
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chapters (13)
- 0:00AI in user acquisition
- 1:05Transforming creative workflows
- 3:55AI-generated ads realism
- 6:29Hyper-personalized advertising
- 8:12AI as creative teammates
- 10:40AI’s impact on creative strategy
- 11:42Reforge Labs’ AI marketing co-pilot
- 15:14Building for future AI
- 15:58Onboarding new games
- 17:02Data scraping vs APIs
- 18:27Future of targeting in AI
- 19:32Meaning of 'Boa'
- 20:14Adapting to early games
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