A Global Airline Is Building Propensity Models to Better Serve Travelers

A global airline wanted to run advertising campaigns to promote specific flight routes, as well as build audiences to target travelers who were most likely to purchase tickets to each route. They decided to use Syntasa to build propensity models and predict potential flight routes for each individual traveler.

In this case study, discover how Syntasa’s platform is enabling their data scientists to automatically ingest behavioral data and build propensity models.