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This month’s report introduces Appier’s latest incrementality testing model — ROI Agent / Agentic Incrementality.
Built on Google’s Marketing Mix Modeling (MMM) framework, this model automatically analyzes your campaign’s ROAS goals, incremental lift, and budget allocation. With real-time learning Agentic Incrementality, it dynamically reallocates budgets to the creatives and traffic sources that drive the highest incremental performance — minimizing budget waste and maximizing campaign efficiency and true growth.
Fetch, one of the leading reward apps in the U.S., has a rapidly growing user base. Its key marketing goal is to increase sign-ups, boost user engagement, and enhance lifetime value (LTV). Appier proposed a CPA campaign model to scale sign-ups cost-effectively and applied the MMM Agentic Incrementality model to optimize creative titles. As a result, Fetch achieved a 135% increase in sign-ups, meeting its guaranteed CPA target and significantly improving overall ROI.
📥 Curious about how we achieved this? Download the report and take a closer look!