Sell-Through Rate: Formula, Examples, and How to Use It

Sell-through rate measures what share of the inventory you received has actually sold. It's one of the simplest inventory metrics to calculate — and one of the easiest to misread without context.

The formula

Sell-Through Rate = (Units Sold ÷ Units Received) × 100

Try it directly with the free Sell-Through Rate Calculator.

Example

You received 100 units of a product and sold 62 of them. Sell-through rate = 62 ÷ 100 × 100 = 62%. The remaining 38 units are still on hand — at $8 unit cost, that's $304 of inventory cost not yet converted to revenue.

Why the time period matters

62% sell-through after one week and 62% after an entire season tell very different stories. Always pair a sell-through figure with the period it covers — a number without a timeframe is close to meaningless.

Categories differ

Fast fashion and trend-driven categories often target high sell-through within a short window, since the product loses relevance quickly. Staple or evergreen categories can carry a lower rate over a longer period without concern. There is no single benchmark that applies everywhere.

Size, color, and style variants

An aggregate sell-through number can hide the fact that one size or color sold out early while others barely moved. Where possible, look at sell-through per variant, not just per style, before deciding on a reorder or markdown.

New releases vs. seasonal products

A brand-new release naturally has a lower sell-through early on simply because less time has passed — that's expected, not a warning sign. A seasonal product still showing a low sell-through after its selling window has closed is the more meaningful signal.

How sell-through should inform buying

Consistently low sell-through on a given product or vendor is a signal to buy less next cycle; consistently high sell-through (especially with stockouts) suggests you could have bought more. Tracking this across every SKU — not just the ones you happen to check — is what turns it into a real buying input rather than a one-off observation. Inventory Assassin does this automatically across a full catalog.