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Summary

The article highlights AppDiscovery's AI updates that drive significant growth for apps across categories, improving automation and UA campaign scalability to efficiently acquire high-value users. Traditional methods are outperformed as AI optimizes budgets with minimal data, reducing learning time and costs. DealDash, an online shopping platform with 20M customers, leveraged multi-campaign CPP and advanced targeting to double UA volume, achieving 71% higher D7 ROAS and 22% lower CPP.

This enabled sustainable, season-proof profitability through reinvestment. Rollic, a Zynga subsidiary with 20B+ downloads, used AppDiscovery's global AI campaigns to launch Twisted Tangle. Within 6 weeks, the game hit #1 on the App Store in multiple countries and top 10 in 30+ markets.

AI automated budget allocation across regions, accessing new audiences impossible with manual management. Key data points: DealDash's D7 ROAS increased 71%, CPP decreased 22%; Rollic achieved chart-topping results. Actionable advice: adopt AI-driven multi-campaign strategies, utilize advanced campaign types like CPP and blended ROAS, and leverage reduced AI learning periods to scale quickly while maintaining ROI.

Marketers should reinvest profits for compounding growth, and test globally across all categories for maximal impact.