As inflight connectivity becomes more commonplace, providers are turning their focus from the physical logistics of equipping aircraft with the required technology to its wider potential to enable airlines to get to know their passengers personally and tailor their inflight entertainment (IFE) services accordingly. Data analytics and machine learning provide an opportunity to unlock the vast amounts of personal information airlines possess about their customers, unleashing it to allow carriers to personalize the inflight passenger experience. The idea is that by targeting people with onboard entertainment and marketing messages molded around their personal preferences, airlines will see an increase in customer loyalty and ancillary revenues. From a passenger perspective, personalization proponents believe that by offering entertainment and inflight retailing choices based on individual preferences, people will be able to spend less time choosing and more time sitting back and enjoying.