The pickup report is one of the main data analysis tools that provide the hotelier with a clear and usable data set about the time advance with which reservations are recorded for a specific time period.
In other words, we can see the pickup report as a photograph of the situation of bookings received for a certain period on a specific day taken into consideration for analysis.
From a practical point of view, to generate the pickup report the user must go to specify two date ranges:
- The pickup period;
- The analysis period;
The pickup period is the time period during which reservations for the analysis period have been received.
The information presented by the report is therefore useful because it allows to relate any tariff changes that occurred during the pickup period with increases or decreases in reservations for the period under analysis.
What is the Hotel Pickup Report for? Let’s learn to read it
The pickup report is used to give the hotelier visibility about the timing with which certain accommodations have been sold for a certain period, thus answering two apparently trivial questions: “when?” And “why?” Certain reservations are made for a given period.
To understand this better, let’s put ourselves in the shoes of a hotelier and ask ourselves some sample questions:
1. How far in advance did the bookings for the mid-August period last year arrive? How is the booking trend of August 15th this year compared to the previous year?
2. I have introduced a non-refundable rate with an advance booking of at least 2 months. Did it affect the pickup of reservations for the summer?
3. On which days of the week do the most bookings arrive?
Case study – Analysis of the booking trend
It is the first week of May and the hotelier Mario Rossi wants to understand if the booking trend for the Ferragosto is in line with what is desired.
His goal is to have data that allow him to understand if the current season has recorded a number of reservations in line with the history of previous years or if this season is performing above or below average.
The hotelier will then open his hotel management software (in our case Slope), access the “Report” section and then generate the pickup report by setting:
- date range under analysis: from 13 August 2019 to 15 August 2019
- pickup date range: from January 1, 2019 to March 31, 2019
The report will show for each day of the pickup period a row marked with:
- The number of new bookings registered on that day for the analysis period;
- The number of cancellations recorded on that day for the analysis period;
- The total number of bookings on that day for the analysis period;
- the ADR;
- production of the day.
So for each day of the reports we will have visibility on the status of the reservations and the production that had been obtained up to that day.
Pickup report and booking curve graph
Reading the report can be made easier by a well-known graphic designer in the hotel sector: the “booking curve”.
The booking curve graph is the representation on the Cartesian diagram of the data contained in the pickup report: on the ordinate axis (y) we have the number of reservations and on the abscissas (x) the pickup days.
The booking curve graph, therefore, will be characterized by a tendentially increasing line that will show the bookings recorded in the pickup time frame for a reference period.
In the example shown below you can find the booking curve graph produced by the Slope management software.
The analysis period is from August 1st to August 31st and the pickup period is a time span of 3 months during which the individual bookings recorded for a single day, cancellations recorded for a single day and the total number of bookings with the relative growing trend that characterize it.
Slope and the Pickup Report
The Slope management software provides the user with advanced reporting tools that allow you to view complex data in a simple and usable form.
These data allow the hotelier to know the tourist demand and better segment the distribution of its market.
The pickup report, together with other sales or financial reports, allow the hotelier to measure and make informed decisions based on real metrics and not on impressions.
If you want to know more about Slope, request a free demo
