Traveler’s shopping behavior is a fundamental part of the consideration and program mix. This is because the notion that travelers book corporate preferred negotiated rates because they appear at the top of the display no longer holds true.
Machine learning algorithms can now show in-policy options based on a traveler’s historic shopping behaviors which help drive higher attachment rates.
Developments such as rules-based displays, a method of segmenting and targeting hotel content to…