{"id":13876,"date":"2020-04-09T20:14:00","date_gmt":"2020-04-09T18:14:00","guid":{"rendered":"https:\/\/slope.it\/staging\/?p=13876"},"modified":"2020-04-16T12:12:11","modified_gmt":"2020-04-16T10:12:11","slug":"no-show-hotel-how-to-manage-and-reduce-the-no-show","status":"publish","type":"post","link":"https:\/\/slope.it\/staging\/en\/2020\/04\/09\/no-show-hotel-how-to-manage-and-reduce-the-no-show\/","title":{"rendered":"No show Hotel: how to manage and reduce the no show"},"content":{"rendered":"\n

A percentage of no shows<\/strong> and cancellations<\/strong> are physiological in the daily operation of a hotel and must be taken into consideration in the planning phase by the manager of the accommodation facility.
However, care should be taken in the event that these indices begin to assume high or generally anomalous values<\/strong>, precisely because they can jeopardize <\/strong>significant slices of proceeds from the structure.<\/p>\n\n\n\n

What is the no show and how to manage it in the hotel<\/h2>\n\n\n\n

No show <\/strong>conditions occur when a customer has booked a stay in a specific structure<\/strong>, but does not show up at the time of check-in, without having warned or modified his reservation.<\/p><\/blockquote>\n\n\n\n

In this case, the hotelier, based on the booking terms and conditions stipulated with the customer, can apply a penalty by credit card (the application and the manner of the penalty are obviously at the discretion of the hotel).<\/p>\n\n\n\n

The cancellation rate varies by sales channel and rate<\/h2>\n\n\n\n

The cancellation percentage<\/strong> cannot be seen as a single number, but must be measured for each distribution channel used by the facility.<\/p>\n\n\n\n

Some online portals push towards “more aggressive<\/strong>” sales strategies, for example through the sale of rooms with fully refundable rates, this strategy brings with it a significant increase in the cancellation rate.
This is not necessarily a problem, however, if the hotelier plans his work starting from the awareness of this data<\/strong>.<\/p>\n\n\n\n

Knowing that a particular portal or agency has an X cancellation rate allows you to initiate compensation strategies, first of all controlled overbooking.<\/p><\/blockquote>\n\n\n\n

However in medium or small structures it is almost always difficult to compensate for cancellations on a given date and it is risky to work with constant overbooking<\/a>.<\/p>\n\n\n\n

So the first analysis that must be carried out is that which consists in measuring the cancellation percentages for each portal and for each tariff.<\/strong><\/p>\n\n\n\n

Based on these numbers, we can think of acting in different ways:<\/p>\n\n\n\n