Last week we provided an initial report on the February 16 & 17 Summit of the Coalition for Innovative Media Measurement (CIMM). Here are more highlights from this important event.
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Last week we provided an initial report on the February 16 & 17 Summit of the Coalition for Innovative Media Measurement (CIMM). Here are more highlights from this important event.
Read more »
Member Only Access
What does “attention” really mean in today’s fragmented media landscape—and does more attention actually drive better results? In phase three of the ARF Attention Measurement Validation Initiative, real-world campaign data reveals where attention metrics align, where they diverge and how they relate to brand lift. The findings challenge assumptions and offer a more nuanced view of how attention works across channels, platforms and outcomes.
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This MSI working paper introduces TextBO, a novel AI framework designed to improve marketing decisions more efficiently by minimizing costly evaluation cycles. By combining large language models with Bayesian optimization principles, the approach enables AI systems to iteratively refine outputs—such as ad creatives—while requiring fewer real-world tests. The result: faster learning, better-performing outcomes, and a more scalable path to AI-driven decision-making.
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