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Answer crucial market research questions

In the first Statistically Speaking on consumer and market research, our featured guests — three amazing and accomplished PhDs — shared a number of interesting ways to gain a greater understanding of markets and customers to derive better informed policy and product decisions and strategies.

Roselinde Kessels of Maastricht University, Liz Knapp of Avon, and Laura Castro-Schilo of JMPRoselinde Kessels of Maastricht University, Liz Knapp of Avon, and Laura Castro-Schilo of JMP

We had fun along the way, borrowing some poorly designed survey questions from @BadSurveyQ on Twitter and surveying JMP employees about changes to their use of skin care and cosmetic products since the onset of the pandemic.

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In her plenary, Roselinde Kessels of Maastricht University shared two discrete choice experiment case studies to help viewers answer the following questions:

  • Who are my customers?
  • What drives them toward a product or service?
  • How can I appeal to them?

The examples she chose are timely. The first was the COVID-19 digital contact tracing application in The Netherlands, including further exploration of the opt-out choices. The second focused on determining COVID-19 vaccine prioritization in Belgium.   

In addition to Roselinde, the panel featured Liz Knapp, senior chemist at Avon, and Laura Castro-Schilo, senior research statistician developer at JMP. The methods used in consumer and market research are broad, and our panelists covered a lot of ground: survey data analysis, text/sentiment analytics, exploratory data analysis/data visualization, and structural equation modeling.

We were hoping to have a sighting of Laura’s puppy, Keefe, but he was asleep in another room for the duration of the webcast. Instead, we’ll have to settle for a photo: 

Keefe2.jpg

 

There were many valuable take-aways from this episode of Statistically Speaking, including:

  • The importance of designing experiments carefully.
  • The benefits of collaboration.
  • Why you should strive to measure and model the unobservable.
  • How to gain greater insights and aid long-term product planning by exploring a variety of data (including text).

You can watch it on demand.

Last Modified: Nov 20, 2020 3:04 PM