Editorial review: 8 October 2026. Historical benchmark figures have been placed in context and absolute claims about future results have been qualified. The original publication date is retained.
Choosing a booking engine for a hotel / hotel chain is a very important decision and at the same time complex due to the wide variety of alternatives available in the market.
The projects discussed when this article was first published often involved between four months and a year of selection work and the evaluation of three to eight booking engines. These historical observations are not a forecast for every project.
Although each hotel / chain has full knowledge of its needs in terms of rate plans, room types, offers, types of users with access to the engine, etc., and can make a good evaluation of booking engines, generally they don’t have enough time to be able to evaluate all the options on the market that can be adapted to their needs and also they can only assess the different engines through demonstrations.
At Hotel’s Performance we know that you can only gain in-depth knowledge of all the functionalities of a booking engine by implementing it and also it’s necessary to have experience with several booking engines to learn which can achieve the best results for the different types of hotels.
When you have the support of a specialist in the selection of booking engines you can be advised about differences that may seem unimportant but can cause real problems when implementing pricing policies and offers. Even slight variations in the conversion rate can produce huge losses for a hotel / chain.
To make an informed choice, it is necessary to perform an in-depth analysis of the hotel / chain’s needs, to see which booking engines fully meet the requirements and compare the conversion rates obtained by the different engines in similar hotels.
At Hotel’s Performance we are specialists in advising hotels and chains on which booking engine will best suit their needs and obtain the best results. Additionally, this advice helps optimize selection and implementation times.
At the time of the original publication, our methodology described a benchmark of 100 booking engines, assessing more than 250 features and drawing on implementation and testing experience. Those counts describe that historical assessment rather than a current ranking or independently verified market census. In this way we can make an assessment of the needs of each hotel and contrast it with the functionalities of the most suitable engines.
In the case of hotels and chains that have high online revenue through their websites, in which small variations in the conversion rate can mean millions of euros at the end of the year, we recommend running a test in one hotel with the booking engines that, after the analysis, meet the needs and have obtained better conversion rates for similar establishments.
This approach supports a better-informed selection for the hotel or chain. Results depend on the implementation, traffic, offer, market and guest experience; no selection method can guarantee that one engine will always outperform every alternative. Where feasible, validate the decision with a suitable test and monitor performance after implementation.








