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Numbers Crunching - Step-by-Step Guides to Analyze Your Exports

In this article, you’ll learn how to read the data you can export from Eversports Manager. 

Your exports contain more than what's shown in a single report. With a bit of spreadsheet work, you can answer more specific questions, like which customers haven't renewed a product, or how much a customer has paid in total. This article walks you through common questions step by step, using Excel or Google Sheets.

Here are the topics covered in this article; click on them to be redirected to the corresponding instructions:

💡 New to Analytics & Reports? Start with Everything You Need to Know About Analytics for the KPIs, charts, and reports built right into your Manager.


1. Which customers booked the most in my studio ?

Where to find the export :
Bookings export in Analytics > Reports > Customers with bookings

Screenshot - 2026-08-06T122052.044

Result:

Screenshot - 2026-08-06T121856.416

    Optional : you can verify the total bookings number for 1 or 2 customers : check the profile of one of the customers in the Manager > click on “Past visits” > verify the filters: they should match the period you exported and the filters you used in Google Sheet / Excel. 

    The number on top should match the number in your “Total bookings” column :

     


    2. Which customers paid the most in my studio ?

     

    • In your Manager, go to Financials > Reports > CSV EXPORT OF ALL INVOICES WITH PAYMENTS (do not forget to select the period in the top right corner) :

    • Open the export in Google sheet or Excel.
    • Keep the columns: Customer / Email / End price and delete the other ones.
    • Select everything and click on the filter icon.

     

    • Sort the column “Email” from A to Z :

     

    • If you see commas in the “End price” column, replace the commas by points (select the column > Edit > Find and replace) : 

         

         

    • In a new column > add the formula =SUMIF(B:B,B2,C:C)

    B being the column with the emails 

    B2 the first email box 

    C the final price column

     

    • You can verify the formula by calculating the sum of the amounts in column “End price” for a customer : 

    • Extend the formula over the entire column.
    • Copy the column and paste only the values into a new column (you can call this new column “Total payments” for instance).

    • The previous column and the “End price” one can be deleted.
    • Select everything and click on the filter icon (so the new column is included in the filters).
    • Now you need to remove duplicates. Select everything again and go to Data > Data Cleanup > Remove duplicates :

    • Select only the column with email addresses :

       

      • Optional 1: Sort this column “Total payments” from Z to A (this way, the clients with most payments will appear first).
      • Optional 2: Set column to €

         

        • Optional 3: you can verify the amount for 1 or 2 customers : check the profile of one of the customers in the Manager > click on “See all invoices” > verify the number that is shown in green at the top of the page.
          ✅ It is done ! You can now see the total amount of payments for each customer : 

        Note: the amount will match if you have done an export of the payments since your started with Eversports.


         

        3. Which bookings were cancelled, and which customers didn't show up?

        Get a clear overview of cancelled bookings and customers who didn't attend.

        💡 Use these reports to:

        • Adjust your cancellation policy.
        • Spot classes with unusually high no-show rates to optimize your schedule.
        • Identify customers who repeatedly miss bookings.

        Screenshot - 2026-07-30T155507.618

          Want to penalise customers who don't cancel and/or don't show up?

          👉 Learn more about No-show & Late cancellation Penalty feature!


           

          4. Which customers have bought a trial product but did not buy any other products yet ?

           

          • In your Manager > go Products > Analysis > click on “Export activity & booking data” in the top right-hand corner :

          • Open the export in Google sheet or Excel.
          • Keep at least the columns: Name (of the product), Customer and Email. The other ones are optional. 
          • Select everything and click on the filter icon.
          • Filter the column “Email” from A to Z. 
          • Now you need to remove duplicates. Select everything again and go to Data > Data Cleanup > Remove duplicates
          • Select only the column with email addresses :

          • In the column “Name” > filter and keep only the trial product(s) :

          • It is done ! All the customers listed here have not bought another product than the trial one(s) 🙂

           

          5. Where can I check the customers whose products will expire soon ?

           

          • Open your Eversports Manager.
          • Go to Products > Analysis and use the following filters
            • Status : is : active
            • Valid until : if you want to know which product will expire by the end of the month for example, select Absolut : before : ../../....

              Screenshot - 2026-07-31T182206.537


           

          6. What is the average occupation of each of my activities ?

          This serves to compare your actual bookings per activity with the maximum number of participants possible for the same activity

          • Open your Eversports Manager
          • Go to the Analytics Section, in the tab "Reports”
          • Click on “Utilization report ”
            Screenshot - 2026-08-11T125034.915

           

          ✅ As a final result you should then see the following:
          Screenshot - 2026-08-11T124842.815

          💡 What to do about it: Use this to decide whether to add, remove, or resize classes based on what's working.


           

          7.Which customers purchased one product but not another? (Example: customers with an active membership who did not purchase insurance)

          In your Manager > go to Products > Analytics 

          Export 1: Filter customers who purchased Product A (e.g., memberhsip)
          click “Export”  in the upper-right corner to obtain the list.

          Screenshot - 2026-07-24T125213.676


          Export  2: Customers who purchased Product B (e.g., insurance) 
          click “Export”  in the upper-right corner to obtain the list.

          Screenshot - 2026-07-24T125213.676


          In your spreadsheet, open both exports and keep only the Email column. In a new column, enter this formula in cell C2: 

          =IF(COUNTIF(B:B, A2)=0, "Not in List 2", "Present")

          Screenshot - 2026-08-14T165353.948

          This formula checks whether the email address in A2 (customers who purchased Product A) exists in column B (customers who purchased Product B).

          If the email address is not found, “Not in List 2” is displayed (the customer did not purchase Product B).