The boldest and brightest minds joined us November 14 - 17 for Attribution & Analytics Accelerator 2022—the only event focused exclusively on attribution, marketing mix models, in-market testing and the science of marketing performance measurement. Experts led discussions to answer some of the industry’s most pressing questions and shared new innovations that can bring growth to your organization.
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On October 11, 2022, Stephanie Scalice, Winner of the 2022 ARF Great Mind Awards Young Pro of the Year Award and Senior Market Research Manager at LinkedIn, led the ARF Young Pros through a deep dive into NPS, CSAT and CES—the three most used metrics by modern businesses to better measure and understand customer satisfaction. Attendees learned more about what each metric is, when and how to implement it, real life applications of these tools and more.
Member Only AccessA marketing analyst finds that bots cause several problems for digital advertising and suggests a solution.
At the ARF event FORECASTING 2022, experts discussed strategies to help companies deal with and prepare for industry change and disruptions.
On July 12, 2022, forecasting, and product experts shared frameworks and strategies for participants to consider as they plan amid disruptions in the industry. Presenters discussed techniques marketers could use to drive consumer action and advocacy — as well as econometric models for search trends, insights on holistic analytics programs, reflections on gold standard probability methods — and new forecasting techniques in the wake of the pandemic and more.
Member Only AccessAfter eight years as editor-in-chief of the Journal of Advertising Research, Dr. John B. Ford is succeeded by Dr. Colin Campbell, Associate Professor of Marketing at the University of San Diego’s Knauss School of Business, effective September 1st.
Email advertising can increase spending in actual, physical retail stores, new statistical tools show. If this is not uplifting enough for those who deal with such advertising, analysis published in an MSI working paper found something else surprising. The effects are highest among consumers with fewer recent interactions with that particular retailer.
The ARF’s focus on research quality is echoed by Andrew Tenzer, Director of Market Insight and Brand Strategy at Reach.
While Randomized Controlled Trials (RCTs) are ideal for advertising measurement, it is not always feasible to conduct one. Until advertising platforms are willing to provide more information about how they deliver targeted ads or implement auctions, alternative observational methods are unlikely to reliably estimate causal effects. That includes utilizing newer machine learning techniques.
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Random controlled experiments for A/B testing help improve things like a company's marketing or customer service. However, individually optimizing interventions may not always capture interactions across the entire purchase decision journey. To optimize interventions more holistically, use a Bayesian reinforcement learning model. It can integrate multiple historical experiments, which can improve both current impact as well as future learning.
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