marketing analytics

Can Observational Methods Assess the Causal Effect of Ads?

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

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

  • Posted: May 5, 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 »

Are Marketers Using the Right Metrics?

Are Marketers Using the Right Metrics?

  • MSI

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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Mentoring Meet-up — Three Leaders, Three Stories (Event Summary)

Mentoring Meet-up — Three Leaders, Three Stories (Event Summary)

  • WOMEN IN ANALYTICS

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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