Analytics & Data Science

Future-Proofing the Analytics and Insights Function

  • By Chenyu Wang
  • ANALYTICS COUNCIL

On February 6, Organizational Council members Shelley Yang (Director, Insights Activation at Ipsos Creative Excellence) and John Baro (Manager, Market Research & Insights at Spectrum Reach) shared a summary of their learnings from a set of 21 in-depth interviews (IDIs) conducted with ARF members to understand what insights and analytics departments should do to future-proof themselves. Then, a panel of senior researchers -- Helen Katz (EVP, Research at Publicis Media), Michelle Gibb (Vice President, Global Insights & Analytics at Mondelez International), and Jed Meyer (SVP, Media Solutions Leader of Kantar) -- and an industry observer, Simon Chadwick (Managing Partner at Cambiar LLC) joined Shelley to share their perspectives on the topic.  Their conversation was moderated by Steven Millman, Global Head of Research & Data Science at Dynata.  The presentations and panel touched on AI, outsourcing, skill sets, and mindsets.

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Improve Marketing Mix Model (MMM) Accuracy by Identifying these Effects

  • MSI

This study explores the identification of nonlinear and time-varying effects in marketing mix models (MMM). It highlights the challenges of conflation in model selection and proposes a framework for simulating and estimating these effects using Gaussian processes. The study emphasizes the importance of accurately identifying the underlying response to optimize marketing spending.

The research provides insights into the complexities of marketing effectiveness and offers practical solutions for improving model accuracy. By addressing the issue of conflation, the study aims to enhance the decision-making process in marketing strategies.

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Micro Targeting Can Dramatically Improve Facebook Performance

  • Steve Meester; Newcombe Clark
  • AIG Rapid Learning Lab

The authors describe a series of design experiments used to optimize Facebook targeting and retargeting to buyers of travel insurance. Using different creative for different micro-targets, the authors raised prospecting sales lift by four times and retargeting sales lift by 60%. Additional findings included that age did not determine click thru rate, but under thirty-five and over sixty-four rarely purchased.

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Principles of Data Quality

  • Gerard Broussard
  • The Coalition of Innovative Media Measurement

To improve data quality, the marketing and advertising industry could establish a “Principles of Data Quality” disclosure; create a roster of items to ask of data suppliers; request transparency—data firm disclosures—including consumer authentication procedures, multiple data source descriptions, model target techniques and testing results, recency of data, integration techniques, data labeling, and top-line descriptions for all of the above; create best practice standards.

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Measuring the High Consideration Customer

  • Cree Lawson, CEO of Arrivalist

Is there a better way to measure the digital behavior of consumers considering a complex or expensive purchase and improve outcomes going forward? Measurement company Arrivalist shared techniques they have used successfully, illustrated with six case studies. Their work has application for both considered and impulse purchase brands.

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