Travel booking platforms always become increasingly personalized thanks to data analytics. By checking people’s booking habits and preferences on these platforms, it becomes easier for the program to recommend a tailor-made travel package. For example, if you have been traveling to tropical destinations most often, you are directed to a variety of beach-resort options. That’s one way to attract people to come over and come back time and again.
That’s how this personalization can work in favor of the travel booking platform to enhance user experience. In addition, dynamic pricing might also determine the offer by which the user wants personalized prices, situations in which discounts depend on personal preferences and booking histories. Besides, this ensures that the travel preferences are customized, so that each user feels cherished, resulting in a higher satisfaction level. At the end, it is bound to increase conversions and, at the same time, improve brand loyalty.
