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 Public relations teams to analyze their customer statistics and target specific markets. This report focuses more on customer demographics and behavior pattern rather than specific reservation times. For detailed information about reservations, including arrival and departure times, use the Reservations report.

Note: 

• This functionality is only available for Pro Package users and above.
• Mews updated its pricing plans to offer more flexibility and better value for different business needs. These updates apply only to new customers, and existing subscriptions stay the same. Learn more about pricing and what's included per plan here. 

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. 

To view the Customer statistics report,

• on the Mews Dashboard, in the Customers section, click  Customer statistics or
• go to the main menu  > Profiles > Customer statistics.

In this article you can learn about:

• Setting the filters in the report
• Using the report

Setting the filters in the report 

Using the various filters, the Customer statistics report can compare multiple sets of data and analyze them against each other. You have 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 display the number of customers
  • Days/ Nights: Data results display the number of days or nights per person. For example, a one-night reservation for two people appears 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.
  • Address
  • Age
  • Average person rate
  • 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.
  • Address
  • Age
  • Average person rate
  • 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.

The data the charts display at the top of the report depend on your selections for the Group by and Subgroup by filter options. Note: The report displays the option you select at the top of the report in chart format, as well as within the report.

Using the report

There are various options for using this report. Individual managers may be interested in different data outcomes. Below are a couple of ideas for the 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, then maybe consider translating your website in that language.
• Sex vs Origin: With this filter you can identify via which channel the values are equal and where it is disproportional. For example, via your Booking widget there are the same numbers for men and women whereas Channel manager brought more men. Could it be the description used on the OTA's?
• Space category vs Sex: Is it men or women who are more likely to buy upgraded rooms?
• Space category vs Origin: This chart gives you an idea which origin brings you higher room categories.
• Address/ Nationality vs Rate: This helps you understand which countries book the highest rates, and this helps you plan your pay-per-click campaigns to target these high value markets.