Mobile gaming user acquisition must transition from manual creative testing to automated, AI-driven workflows to remain competitive in the post-IDFA landscape.
High-performing teams are defined by their ability to build scalable systemic infrastructure rather than relying on individual, ad-hoc creative iterations.
Integrating artificial intelligence into user acquisition processes is essential for reducing operational friction and managing the volatility of current advertising ecosystems.
Automating repetitive tasks allows managers to shift focus from manual execution toward high-level strategy and optimization.
As of early 2026, the primary challenge for user acquisition managers is maintaining growth efficiency within an increasingly data-constrained market.
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