Analytics & Data Science

Proving the Power of Faster MMM: New Research & Real-World Brand Stories

  • ARF
  • INSIGHTS STUDIOS

On February 25, leading authorities from OptiMine shared new research examining why marketing mix model (MMM) refresh cadence matters more than many brands realize. Attendees heard the latest insights from OptiMine’s Model Refresh Cadence project, examining how model degradation occurs over time and how refresh frequency impacts reliability and decision-making. Panelists shared real-world case studies based on brands that have successfully moved to faster refresh cycles, highlighting what changed operationally and what improved as a result.

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From Fragmented MMM to One-Demand Decision AI for Enterprise Growth

  • ARF
  • INSIGHTS STUDIOS

On January 22, we introduced a fundamentally different paradigm: One-Demand Decision AI powered by Large Causal Models (LCMs) that move enterprises from descriptive insights to prescriptive growth recommendations through counterfactual causal reasoning. Attendees gained a clear understanding of how one-demand causal AI transforms descriptive correlation into prescriptive causation, what it takes to implement unified decision platforms at scale, and why now is the moment to rethink the measurement stack from first principles.

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Marketing Effectiveness Accelerator

The Marketing Effectiveness Accelerator is the only event dedicated exclusively to attribution, marketing mix models, and the science of marketing performance measurement. On November 12, leading experts presented empirically grounded case studies that demonstrate how leading brands are solving today’s toughest challenges.

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Traversing Data Silos: A Practical Framework for Identity Crosswalks in Advertising

  • ARF | Cross-Platform Council
  • ARF ORIGINAL RESEARCH

Advertisers rely on identity crosswalks as a critical tool for linking identifiers across data sets and platforms without exposing personal information. This white paper from the Identity Resolution Working Group of the Cross-Platform Measurement Council provides a brief practical introduction to crosswalks and how to implement them effectively. It outlines common operational models, covers use cases for brands, agencies and publishers, and addresses accuracy, privacy and match rate considerations. The guide offers advertising researchers and data practitioners clear, actionable steps for navigating the complex identity landscape.

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The ARF 2025 Research Intelligence Hub: Key Insights for Advertising Effectiveness

  • ARF Research Compendium

The ARF’s 2025 Research Reports & Resources compendium brings together the most important thinking shaping advertising research today—from AI and privacy to media planning, attention and brand strategy. Spanning dozens of studies, reports and expert perspectives published by the ARF in 2025, this collection provides marketers and researchers with a practical, forward-looking view of how data, technology and consumer behavior are redefining the discipline.

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When Media Effects Multiply: Evidence of Cross-Funnel Synergies

  • ARF
  • JOURNAL OF ADVERTISING RESEARCH

Media planning frameworks often assume that channels operate independently or compete within the same funnel stage. This research challenges that assumption by demonstrating that the largest performance gains come from cross-funnel synergies, particularly between upper-funnel television, middle-funnel digital media and lower-funnel promotions. Using a large-scale CPG dataset and a novel estimation–optimization approach, the study shows that explicitly modeling these interactions can materially improve media allocation decisions while also significantly increasing incremental revenue.

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Why Synthetic Respondents Flatten Consumer Sentiment

  • Psychology of Gen AI
  • ARF; MSI

This fifth experiment in the Psychology of Gen AI series reveals that large language models apply a rigid, rule-driven logic when evaluating privacy scenarios—even when humans typically shift their reasoning based on framing, emotion and social context. Unlike consumers, who blend intuition, feeling and social perspective into their judgments, GPT-4o relied on a single internal rule across all testing conditions: data use is acceptable only with explicit consent. This consistency offers value for certain analytic tasks but exposes limits for advertising research that depends on emotional nuance and context-sensitive consumer insight.    

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Analytics & Forecasting 2025

  • ARF
  • ARF

On September 29-30, the ARF and MSI co-produced the inaugural ANALYTICS & FORECASTING conference, exploring the evolving role of modeling in market research and forecasting, with a particular focus on the opportunities and limitations of synthetic data. Attendees engaged in critical discussions about the opportunities and limitations of modeling in market research applications and heard practical strategies and solutions from leading researchers and practitioners.

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