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Media agencies are navigating an increasingly complex advertising landscape, as economic uncertainty, fragmented media consumption and rapid advances in technology continue to reshape how brands reach consumers. At the same time, advertisers are reassessing their media strategies, looking for greater flexibility in how they allocate budgets and new ways to connect with audiences.

AI search and creator marketing are adding another layer of change to the agency landscape, creating opportunities to expand services while raising new questions about costs, capabilities and the future of media planning. 

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For app marketers, performance measurement often comes with a familiar challenge: the numbers do not always match.

An advertiser may review campaign performance in a platform dashboard, compare it with results from a mobile measurement partner (MMP), and then look at internal business intelligence systems only to find different versions of performance. These discrepancies are not new. But as AI and automation take on a greater role in campaign delivery, bidding and budget allocation, the stakes are changing.

As automated systems make more optimization decisions, advertisers need confidence that those systems learn from the same conversion signals they trust to evaluate performance. Increasingly, the challenge is not simply measuring more. It is aligning measurement and optimization around an advertiser’s chosen source of truth.

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