May 2017
Marketing Research Articles, Webinars, Blogs
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Decision Analyst
Marketing Research Business Development: Challenges and Suggestions for Suppliers and Clients by Stan Hazen
Recently, I saw a spirited discussion on LinkedIn about issues that client-side market researchers sometimes have with research suppliers’ business development efforts. One issue is the sheer number of unsolicited contacts that clients get from suppliers asking to schedule time to talk—often more requests than clients can even respond to, let alone have time to talk to. Another issue is that some suppliers approach and talk to potential new clients in ways that don’t make a great first impression.
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Media Mix Minute
Media Mix Minute Video: Episode 02
In this next episode, John Colias, Ph.D., discusses what makes media mix modeling different from marketing mix modeling. To understand and answer this question, we have to understand how we do media mix modeling.
Watch the Video
Advertising Research Effectiveness
Advertising Tracking Article
The promise of media advertising is great. It’s an opportunity for a brand to tell its story directly to the ultimate consumer. It’s an opportunity to build awareness and project a powerful brand image. It’s an opportunity to create and build brand equity. It’s an opportunity to bypass the trade, an opportunity to circumvent competitors.
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Facial Action Coding Webinar
The Science of Facial Action Coding: The Wild Animal Experiment
Recently, Decision Analyst partnered with Consumer Neuroscientist A.T. Grant, Ph.D., to conduct a survey using Facial Action Coding to measure emotional responses to wild animal pictures. The goal was to see what metrics facial coding could provide and how insightful those measures could be. This webinar is scheduled for June 28, 2017.
Register Today!
Survey Data Weighting
To Weight, or Not to Weight (A Primer on Survey Data Weighting)
It often happens that a perfectly designed sampling plan ends up with too many women and not enough men in the survey. In this case data weighting might make sense, if you want totals that accurately reflect the whole population. This blog contains some best practices when weighting survey data.
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