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Product return rate calculator

Compute the return rate of your products from items returned and sold.

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The Product return rate calculator turns Items returned, Items sold into Return rate, instantly and for free. For instance, with Items returned = 50 and Items sold = 1,000 it returns Return rate = 5%.

How to use it

  1. Enter your values: Items returned, Items sold.
  2. Read the result instantly: Return rate.

Frequently asked questions

How does the Product return rate calculator work?

It takes Items returned and Items sold and derives Return rate from them. The calculation is live as you type, so the result updates on every change.

Which values does the calculator ask for?

2 values: Items returned and Items sold. Nothing else is required — no account, no file upload.

What does a typical calculation look like?

With Items returned = 50 and Items sold = 1,000, the calculator returns Return rate = 5%. Those figures come from running this exact tool, so you can reproduce them by entering the same values.

When would I actually use this?

Before and after a campaign: turning a target into a daily budget, comparing two channels on the same basis, and deciding whether the return justifies continuing.

What is the most common mistake?

Judging ROAS without subtracting the cost of goods. A 3× return on ad spend is a loss whenever the margin is under a third — the ratio says nothing about profit on its own.

What is the difference between the Product return rate calculator and the Cart abandonment rate calculator?

This one returns Return rate; the Cart abandonment rate calculator returns Abandonment rate. That is the whole difference — open the one whose figure you need.

Is there a tool for the next step?

Lead-to-customer rate calculator is the closest one after this: Compute what share of your leads become paying customers.

What else is worth having open alongside it?

Bounce rate calculator and Click-to-open rate (CTOR) calculator — they come up in the same task often enough to be worth a second tab.

Where do the figures come from, and how current are they?

The formulas are the industry-standard ones every ad platform uses; the inputs come from your own reporting. Platforms differ in attribution window and in what counts as a conversion, so figures rarely reconcile exactly between them.

Further reading

All guides →
ExplainerReturn Rate: The Number That Decides Whether Your Ecommerce WorksA returned order is not a cancelled sale, it is a sale that cost you money. Here is the return rate at which returns eat the entire contribution of the orders that stayed sold, for three product profiles and five margin levels — plus what bracketing does to your order count.ExplainerCart Abandonment: The Metric and the Money Behind ItAbandonment rate is one minus completed over created — and the figure quoted everywhere is an average across wildly different shops. The useful work is turning a percentage point of checkout completion into money, then discounting it for returns.ExplainerWhat an Ecommerce Order Actually Earns YouBetween the price on the product page and the money in the bank sit seven deductions, one of which is charged per order rather than per euro. Walk one order down the ladder, then compute the return rate at which the whole thing goes negative.How-toHow to Calculate NPS: The Formula, a Worked Score, and What It HidesPercentage of promoters minus percentage of detractors. Passives sit in the denominator and nowhere else, the result runs from −100 to +100, and it is not a percentage despite looking like one.ExplainerEmail Open Rate Is Broken. Measure Click-to-Open InsteadApple Mail Privacy Protection pre-fetches tracking pixels, so a share of your opens were never opened by a person. Open rate now moves with your audience's mail client. Here is what survives, worked on a single send.GuideEngagement Rate Formulas by Platform: Why the Same Post Scores 2% and 4.8%Engagement rate is not one metric. Divide by followers, by reach or by impressions and the same post returns three different numbers — and every platform defaults to a different denominator.