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marketing analytics

Bots Don’t Buy

A marketing analyst finds that bots cause several problems for digital advertising and suggests a solution. 

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FORECASTING 2022: How Can Scenario Planning Improve Agility in Adjusting to Change?

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.

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New JAR Editor

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.

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Spillover Benefits of Online Ads

  • MSI

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.

Can Observational Methods Assess the Causal Effect of Ads?

  • MSI

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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Optimizing Interventions Along the Customer Journey

  • MSI

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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Top Trends in Data and Analytics for 2022

Research 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 »