Webinar: A Three-Step Approach to Characterizing Consumer Segmentation via Machine Learning

December 13, 2018 - 2PM EST
Duration: Approximately 75 minutes

Attendance only ($269)
Webinar recording only ($289)
Webinar attendance and recording ($359)

Taught by: Dr. John Ennis and William Russ

Throughout consumer research, the challenge of identifying and explaining consumer segmentation arises again and again. Specifically, when we seek to discover new product opportunities, to improve existing products, or to better understand the market within which our products operate, it is valuable to have a nuanced understanding of individual consumer differences together with knowledge of the key signals that drive those differences. In this webinar, we explain how machine learning techniques are well-suited to overcome this challenge, and provide a three-step process for explaining consumer segmentation using these tools. No prior knowledge of machine learning is assumed.

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