Newsletter Archives
- April: Becoming A Qual Champion: A Short Guide For The Quant-Focused Researcher by Elizabeth Horn, Ph.D.
- March: Qualitative Research: The art of transforming motives and emotions into insights
- February: On Offering A Magic Carpet Ride by Kathi McKenzie
- January: Why 95? The Relevance of 95% Significance Level by Elizabeth Horn, Ph.D.
2017
- November: The Importance of “Why” by Stan Hazen
- October: How Innovation and Focusing on Millennials Can Fuel Growth by Bonnie Janzen
- September: Are Your New Products Worth Their Weight In…Anything? by Felicia Rogers
- July: Keep an Outward Focus by Clay Dethloff
- June: Consider Realism When Designing Choice Experiments, Especially With Small-Screen Devices by John Colias, Ph.D.
- May: Marketing Research Business Development: Challenges and Suggestions for Suppliers and Clients by Stan Hazen
- April: On Being Frictionless by Kathi McKenzie
- March: Digital Data and the Future of Marketing Mix Modeling by John Colias
- February: Mother Nature’s Strategy by Jerry W. Thomas
- January: For Marketing Success, Keep Asking Questions by Stan Hazen
2016
- December: Clean and Pure Sampling by Jerry W. Thomas
- November: The Great Marketing Debate: Rational Versus Emotional by Jerry W. Thomas
- October: The Brand Awareness Bullseye by Felicia Rogers
- September: Known Knowns and Other Unknowns by Jerry W. Thomas
- August: Driverless Cars or Safer Cars for Drivers? by Stan Hazen
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Large-Scale Qualitative
Speed and agility, accuracy and insight. Big qual research utilizes online, interactive sessions to explore consumer motivations.
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Ethnographic Research
Using mobile, online and traditional ethnographic methods to help marketers gain a deeper understanding of the consumers' perceptions, attitudes, and beliefs.
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Online Communities
The information derived from online communities is a qualitative tool to gain insight into the consumer's mind and proclivities.
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Choice Modeling
Experimental designs that are tailored to the specific objectives, constraints, and variables of the project to predict consumer preferences and purchasing behaviors.
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