To view the Customer Statistics Report, click Customer statistics on the Dashboard or go to Main menu > Profiles > Customer statistics.

The Customer Statistics Report is an extensive analysis of all guest profile data, allowing you to track and compare different groups of customers. This can be an extremely helpful tool for Social Media, Marketing, Sales, or PR teams to analyze their customer statistics and target specific markets. It is essential to have accurate data to be able to analyze properly, therefore it is extremely important that your staff collects all customer information carefully. Our online check-in feature is also a great tool, as users can enter and check their own personal data for accuracy.

The data displayed in the charts at the top of the report depend on your selections for the Group by and Subgroup by filter options.

Filters

Using the various filters, the Customer Statistics Report can compare multiple sets of data and analyze them against each other. You will find the following filters available for comparison:

  • Filter
    - Arrival - Arriving within selected interval, regardless of current status
    - Colliding - Arriving or departing or staying over within selected interval
    - Departure - Departing within selected interval, regardless of current status
    - In house - Arriving and staying over within selected interval
  • Mode
    - Customers - Data results will display the number of customers
    - Nights - Data results will display the number of nights per person. For example, a one-night reservation for two people will appear as two nights in the report.
  • Start - Select a start date to restrict results to a specific time period.
  • End - Select an end date to restrict results to a specific time period.
  • Group by - Select one of the following options to view customer data relating to your selection. Please note that the option you select will be displayed at the top of the report in chart format, as well as within the report.
    - Address
    - Age
    - Average night rate per person
    - Customer classification
    - Nationality
    - Origin
    - Rate
    - Segment
    - Sex
    - Space category
  • Subgroup by - Select one of the following options to cross analyze customer data against your selection for the filter above. Please note that the option you select will be displayed at the top of the report in chart format, as well as within the report.
    - Address
    - Age
    - Average night rate per person
    - Customer classification
    - Nationality
    - Origin
    - Rate
    - Segment
    - Sex
    - Space category
  • Ordering
    - Alphabetical
    - Value
  • Display
    - Counts - Select this option to view the actual number of customers listed for each variable in your selected data set.
    - Percentages - Select this option to view the percentage of customers listed for each variable in your selected data set.

Best use of the report

There are tens of options on how to use this report. Every manager may be interested in different data outcomes. Below are a couple of ideas which filters you can use:

  • Origin vs Nationality: If you are seeing a lower number on the Booking Widget for a specific country versus the Channel Manager (relative), then maybe consider translating your website in that language.
  • Gender vs Origin: With this filter you can identify via which channel the values are equal and where it is disproportional. E.g. via your Booking Widget there are the same numbers for men and women whereas Channel Manager brought more men. Maybe it is the description used on the OTA's?
  • Room Types vs Gender: Is it men or women who is more likely to buy upgraded rooms?
  • Room Types vs Origin: This chart will give you an idea which origin brings you higher room categories.
  • Address/Nationality vs Average Night Rate: This will help you understand which countries book the highest rates, and this helps you plan your pay-per-click campaigns to target these high value markets.
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