TV

Attention in Context: What Real Campaigns Reveal About Media Performance

Attention in Context: What Real Campaigns Reveal About Media Performance

  • ARF Attention Measurement Validation Initiative

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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Better Creative, Fewer Tests: A New Framework for Efficient Self-Improving Systems

Better Creative, Fewer Tests: A New Framework for Efficient Self-Improving Systems

  • ARF; MSI

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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