The Online Overload: Predicting Consumer Choice in a Digital World
Predicting consumer choice in the ever-changing digital landscape is becoming increasingly challenging, especially in the crowded telecom space.
We shared our unique two-pronged approach of using traditional and non-traditional conjoint research techniques to realize new strides in accuracy and prediction of consumer choice in an online world.
“With this new method, we can estimate and predict consumer decision-making even better, because it looks a lot more like the real world than in a traditional conjoint setting,” – Kris Compiet, Market & Customer Insight Analyst – VodafoneZiggo
Date: Thursday, 7th of March
Time: 10:45 – 11:45
Location: Track D, TH Köln – University of Applied Sciences, Campus Südstadt, Claudiusstr. 1
(Wo)man vs Machine: If, how, and when to automate qualitative research
With the increased need for speed, should you add AI and automated research solutions to your research mix this year?
We discussed AI and qualitative research automation and its place in today’s world of shirking research budgets and time frames. This session dived into a communications research study done in collaboration with Danone where we devised a head-to-head competition between human analysis, machine analysis, and a combination of the two.
Date and time: Friday, 8th of March
Time: 15.45 – 16.30
Location: TH Köln – University of Applied Sciences, Campus Südstadt, Claudiusstr. 1