Big Data and predictive analytics are poised to make a major mark on hotel revenue management in 2017. Access to new, forward-looking data sets are expected to provide additional insight into market demand, and integrating customer data will allow hotels to better anticipate their guests’ needs and personalize every aspect of the guest stay, including a tailored rate.
As we all dive into the new year, hotel owners, operators and revenue strategists are probably a bit perplexed as they try to determine what kind of 2017 it will be. Will the hotel industry’s long upswing continue with further increases in occupancy and higher levels of average rate? Or will the merry-go-round finally come to a stop and everyone need to devise ways to gain bigger shares of declining or flat markets?
It’s no secret that hotel operating costs are on the rise, in many cases at an even higher clip than revenue. Hoteliers are pointing to inflated digital marketing costs, and with the emergence of new distribution channels like Google, TripAdvisor and Facebook, the cost of acquiring guests is higher than ever before.