Investigación general en línea (GOR 19)

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.

At General Online Research (GOR 19) , we highlighted how SKIM and telecom giant VodafoneZiggo tackled this challenge (a study nominated for the GOR 2019 Best Practice Award!).

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
Presenter:

(Wo)man vs Machine: If, how, and when to automate qualitative research

Dada la creciente necesidad de rapidez, ¿deberías incorporar este año soluciones de inteligencia artificial y de búsqueda automatizada a tu estrategia de búsqueda?

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
Presenter: