Session: App Store Optimization For Games With PressPlay's Autonomous Agents.
summary
Press Play automates ASO by generating and deploying creatives into Google Play listing experiments and iterating on outcomes, not promises. It launches 322 variants in 8 weeks for Wildlife and runs 200 experiments in 6 weeks for Lion Studios yielding ~600k projected installs, and drives a 1.5M projected-install uplift for Avakin Life. AISA cuts CPA experimentally by 39% lower CPA after training on historical Apple Search Ads bids. Image tooling shifts from DALL‑E 3 to Stable Diffusion XL to flux, plus fine‑tuning, screenshot‑order prediction and smart early‑kill rules.
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chapters (15)
- 0:00ASO for games with AI
- 1:04AI incubator and Press Play
- 5:25ASO challenges and goals
- 6:49Autonomous ASO system explained
- 8:33Pilot results and improvements
- 10:39Fine-tuning AI models
- 11:42Screenshot order optimization
- 13:48AI limitations in asset generation
- 15:57Automating feature graphics
- 16:38Scaling multi-market localization
- 17:20Smart automation and early killing
- 18:22Client dashboard and approval
- 19:27Multi-agent ASO future
- 20:53Scaling thousands of experiments
- 21:36Q&A on sample size
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