Ecommerce KPI Formula

Product Return Rate Formula

Product return rate measures returned products as a percentage of products sold.

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Simple formula

Returned Products / Products Sold

The formula uses these inputs:

  • Returned Products: enter your value in the calculator or spreadsheet.
  • Products Sold: enter your value in the calculator or spreadsheet.

Excel formula

Use this Excel formula as a starting point. Replace the sample cell references with the cells in your worksheet.

=IFERROR(B2/C2,0)

Google Sheets formula

In most cases, the Google Sheets version uses the same structure as Excel.

=IFERROR(B2/C2,0)

Power BI DAX measure

Use this DAX pattern as a starting point and rename measures or columns to match your Power BI model.

Product Return Rate =
DIVIDE(
    [Returned Products],
    [Products Sold]
)

SQL example

This generic SQL pattern can be adapted to your warehouse table names and column names.

SELECT
    /* replace with your formula */ AS product_return_rate
FROM kpi_data;

Product Return Rate calculator

Result

How to interpret Product Return Rate

Use this KPI with trend data, targets, and related metrics. A single value is less useful than a consistent definition tracked over time.

Important: KPI definitions can vary by company, accounting policy, analytics platform, or reporting standard. Keep the definition consistent when comparing periods.

Common mistakes

  • Mixing different time periods in the numerator and denominator.
  • Using totals that do not match the KPI definition used by your company.
  • Comparing results across teams or industries without context.

Related KPI formulas

Frequently asked questions

What is the Product Return Rate formula?

The common Product Return Rate formula is: Returned Products / Products Sold.

How do you calculate Product Return Rate in Excel?

Use this Excel formula pattern: =IFERROR(B2/C2,0). Replace the cell references with your own data.

Can this KPI be calculated in Power BI?

Yes. Use the DAX measure on this page as a starting point and adjust table and column names to match your model.