After 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.
Member Only AccessResearch and advisory company Gartner shared their insights on top trends in data and analytics technology and practices. These can help anticipate change and transform uncertainty into opportunity, driving new growth and increasing efficiency, resilience and innovation. Read more »
Advertising can trigger cognition, affect or experience, according to the influential Hierarchy of Effects (HoE) model. The following study valides the basic integrated HoE model. However, it also finds that operating sequence varies across brands. The predominant one is affect → cognition → experience (ACE).
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Which is more efficient when it comes to advantageous decision outcomes, marketing-mix metrics or financial metrics? Researchers in this award-winning MSI working paper investigated this question, basing their research on a behavioral framework and statistical model. On average, according to their sample, marketing-mix metrics are more effective than financial. Even so, managers seem more eager to use financial metrics, possibly, because they are easier to understand across the organization.
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At our first ARF Women in Analytics Mentoring Meet-Up of the year, we heard from three industry trailblazers on the “what”, “why” and “how” of their careers. Colleen Funkey of The Estée Lauder Companies, Gloria Cox of The Cambridge Group and Renata Policicio of WarnerMedia reflected on their unique journeys and shared the steps they took and lessons they learned. From what inspired them to originally go into market research to how they now navigate their careers at a senior level, speakers gave attendees advice on what they can do to ensure their careers are satisfying and successful. Attendees also participated in small breakout groups with the speakers to connect, ask questions and share their own personal reflections.
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