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Revenue metrics

Filter and compare aggregate data across periods to analyze patterns

Updated this week


Summary:

Filter and compare aggregate data from different periods to track and analyze patterns. Because this view calculates the total aggregate across each selected period, comparing time ranges of different durations may lead to skewed results i.e. 30 days vs. 1 day.


Metrics:

  • Retained revenue

    • The total value of completed products that is kept in your business via store credits and exchanges (i.e., not refunded). This doesn’t include the value of non-returns or rejected returns.

      Retained revenue = total value store credit + total value exchanges

  • Refunded revenue

    • The total value of submitted products refunded to customers—money that has left your business.

      Refunded revenue = total value of refunds 

  • Retained revenue ratio

    • Percentage of retained revenue compared to total products submitted.

      Retained revenue ratio = retained revenue / total refunded revenue (retained + refunded revenue)

  • Refunded revenue ratio

    • Percentage of refunded revenue compared to total products submitted.

      Refunded revenue ratio = refunded revenue / total refunded revenue (retained + refunded revenue)

  • Upsell revenue

    • Total revenue from upsells during exchanges (e.g., a customer exchanges for a more expensive item).

Note: calculations are based on the values of submitted returns.


How this can enhance your business:

Returns don’t have to mean lost revenue. These metrics show how much value you’re able to retain through smart return policies like store credit or product exchanges. By understanding refund vs. retained revenue trends, you can optimize your returns strategy to keep more dollars in your business. Upsell revenue also highlights the opportunity(s) to increase order value, even during a return process.

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