"No one in programmatic advertising needs another reminder about fragmentation. This complexity stands in sharp contrast to the original promise of the open internet. Programmatic was supposed to give marketers the freedom to reach audiences anywhere online by combining data, automation and inventory from across the web."
"For large organizations with deep media teams and significant budgets, navigating that complexity is painful but manageable. But for small and midsize agencies and brands, it inevitably limits performance."
"The fragmentation problem is as old as programmatic itself, but it's accelerating at an entirely new pace today. Retail media networks are multiplying, each with its own targeting and measurement logic."
"New AI capabilities are finally making it possible to manage that complexity in a fundamentally different way, offering hope for smaller agencies struggling with fragmentation."
Programmatic advertising has become increasingly fragmented, complicating audience access and performance measurement. Different DSPs, buying paths, and data policies create challenges, particularly for small and midsize agencies. This fragmentation limits flexibility and requires manual normalization of performance signals. The situation is worsening with the rise of retail media networks and independent market operations. However, advancements in AI technology present opportunities to manage this complexity more effectively, potentially transforming how agencies navigate the fragmented landscape.
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