Jarlath provides a brief history of the concept of net promoter score before introducing the case study whereby Predictive Promoter was applied to data from the guests of a major hotel chain.
Predictive promoter scoring
This video series shows how data science can be applied to net promoter scoring to help you gain a much deeper understanding of the factors driving your customer recommendation ratings and how you can take action to influence them influence them.
In this final part of our predictive promoter video series, Jarlath Quinn tackles the project’s most ambitious task: mining the open-ended guest comments to uncover important insights. Here you can discover how we can use text analytics to extract a series of concepts and sentiments from customer comments in order to categorise the guests’ responses.