revenue

There is no dichotomy between PMS data and demand data because, the two combined provide the picture to develop data-based revenue management strategies

We can sell the same service, for the same day, with the same channel but at different times and therefore, potentially, also at a different price

Iberia and the rest of Southern Europe are faring particularly well in terms of net new bookings as summer approaches and the appetite for travel rises

Machine learning technology is critical to upselling because it takes the guesswork out of what to offer when to offer it, and how to price it

Competitive outdoor accommodation business of tomorrow will require a revenue management system that fully understands their operations to optimize revenue

If your hotel is in rate parity, and guests are not able to book a lower rate, then there are no price incentives to drive them to an outside channel

Learning from relevant data at hand is key; administer weeks of pricing patterns and test them. There is strong need to move from solely focusing on rates

As you tailor your marketing based on segment, demand forecasts, and behavior, you’ll gain momentum that drives your revenue management strategy forward

There are a few statistics that stay top-of-mind for any hotel manager. Occupancy rate is one of the big ones – and with good reason

Traditional means of pricing based on time to departure is now irrelevant as most of the bookings are being made in a shorter, condensed booking window