Sell-through velocity and the full-price versus discount split

# Sell-through velocity and the full-price versus discount split

A women's outerwear brand ships 10,000 wool coats in September. By late November, before Black Friday markdowns hit, 6,800 have sold at the ticket price. That 68% full-price sell-through is the difference between a healthy autumn/winter season and a margin-destroying one. The other brand next door sold 6,800 coats too, but half went out at 40% off. Same units gone, radically different money.

This lesson shows you how to calculate sell-through, split it into full-price versus discount, and read the numbers against sector benchmarks.

What sell-through actually measures

Sell-through rate is the percentage of units received that have sold in a given period.

Sell-through % = Units sold / Units received × 100

If you receive 2,000 units of a dress style and sell 1,300 in eight weeks:

1,300 / 2,000 × 100 = 65% sell-through

Simple. But the headline number hides everything that matters. A 65% sell-through where every unit went at full price is excellent. A 65% sell-through driven by a 50%-off flash sale is a warning sign.

That is why the full-price versus discount split is the real diagnostic.

Full-price sell-through: the number that separates the pack

Full-price sell-through (FPST) is the share of units sold before any markdown, at the original retail ticket.

FPST % = Units sold at full price / Units received × 100

Back to the coats: 6,800 sold at full price out of 10,000 received.

6,800 / 10,000 × 100 = 68% FPST

The benchmark to memorize

Industry practitioners commonly cite 60% to 70% full-price sell-through as the healthy band for full-price fashion and apparel brands. This is a widely referenced operating rule of thumb, not a published regulatory figure, so treat it as an industry estimate as of 2026.

• Above 70%: strong demand, possibly under-bought (you left sales on the table by not ordering enough).
• 60% to 70%: the sweet spot. Demand met, minimal clearance drag.
• Below 50%: clearance-dependent. You are moving inventory by cutting price, which erodes margin and trains customers to wait for sales.

The distinction is between brands that sell product and brands that sell discounts. Off-price channels (TK Maxx in Europe, TJ Maxx and Nordstrom Rack in the US) exist precisely because so much apparel never clears at full price.

Why the split hits the P&L so hard

Margin math makes this concrete. Take a jacket with a full retail price of 200 and a cost of goods of 70.

Sold at full price:

Gross margin = (200 - 70) / 200 = 65%
Gross profit per unit = 130

Sold at 40% off (retail now 120):

Gross margin = (120 - 70) / 120 = 42%
Gross profit per unit = 50

Same jacket. A single markdown wiped out 80 of gross profit per unit, a 62% cut in profit dollars. Sell 3,000 units on discount instead of full price and you have lost 240,000 in gross profit on identical product.

This is why FPST is watched more closely than raw sell-through. Units gone tells you the warehouse is empty. FPST tells you whether you made money emptying it.

Sell-through velocity: adding the time dimension

Velocity is sell-through per unit of time, usually per week. It tells you whether product is moving fast enough to clear at full price before the season ends.

Weekly sell-through velocity = Sell-through % / Number of weeks on sale

Our 65% dress in eight weeks:

65% / 8 weeks = 8.1% per week

Now the planning question. A typical apparel season runs roughly 12 to 16 weeks at full price before markdowns. At 8.1% per week over, say, 10 remaining weeks you would clear an additional 81 percentage points, meaning you would sell out well before markdown season and could have bought more.

Compare a jacket selling at 3% per week. Over a 14-week full-price window that is 42% sell-through before markdowns. Anything left, well over half the buy, goes to clearance. Low velocity is an early alarm: you can see the markdown coming weeks ahead and react (transfer stock, run a targeted promotion, cut reorders).

Reading velocity by product life

• Weeks 1 to 4: velocity here predicts the whole season. Fast early sell-through justifies a reorder; slow early sell-through flags a markdown risk you can still manage.
• Mid-season: steady velocity confirms healthy demand.
• Final weeks: velocity naturally falls; this is where planned markdowns clear residual stock.

Zara's parent, Inditex, is the textbook operator here. Its short lead times and small initial orders let it read early velocity and chase what sells, which is a big reason its inventory rarely rots into deep clearance. Contrast that with traditional brands committing full seasonal buys 9 to 12 months ahead, where a slow-velocity product is a markdown locked in before the season even starts.

For a solid primer on how retail inventory metrics connect, see Shopify's retail sell-through guide, which is free and clearly worked.

🎬 [VIDEO: "Retail Math: Sell Through, Sell Thru % and Weeks of Supply" - youtube.com - a short, practical walkthrough of the core retail inventory formulas with examples]

A worked mini-case

A footwear brand receives 5,000 pairs of a sneaker in March.

| Week | Cumulative units sold | Cumulative sell-through |

|------|----------------------|------------------------|

| 4 | 1,200 | 24% |

| 8 | 2,300 | 46% |

| 12 | 3,100 | 62% |

At week 12, still at full price:

FPST = 3,100 / 5,000 = 62%

That lands inside the healthy 60% to 70% band. Velocity over 12 weeks:

62% / 12 = 5.2% per week

The remaining 1,900 pairs (38%) will need markdowns to clear. If they average 30% off on a 100 pair retail with 45 cost:

Full price margin: (100 - 45) / 100 = 55%
Discount margin: (70 - 45) / 70 = 36%

Blended reality: 62% of units at 55% margin, 38% at 36% margin. The brand is healthy, but you can now see the exact margin cost of that 38% tail, and next season the buyer should consider ordering fewer pairs to push FPST higher.

Regional benchmarks and the discount culture problem

Discount depth varies by market, and this shifts what "healthy" looks like.

• United States: heavy promotional culture. Department store channels (Macy's, Nordstrom) run frequent markdowns, and off-price is a major channel. US brands often battle to hold FPST because customers are trained to wait for sales. The 60% to 70% target is genuinely hard to hit for mid-market brands here.
• Europe: discounting is more calendar-constrained. Several countries historically regulated sale periods (France's official *soldes* windows are the best-known example), which limited year-round markdown noise, though rules have loosened over the years. European full-price brands, especially in the premium and luxury tier, tend to defend full-price sell-through more successfully.

Luxury is the extreme case. Houses like Hermès and Chanel run FPST close to the ceiling because scarcity and near-zero official discounting are the business model. When a luxury brand starts appearing in off-price channels, it signals a demand problem, which is exactly why they guard distribution so tightly.

Treat all specific percentage bands here as widely cited industry estimates, not audited figures. The precise number matters less than the direction: rising FPST and healthy velocity mean pricing power; falling FPST means you are buying sales with margin.

How to actually use these numbers

1. Track FPST weekly, not at season end. By season end it is too late to act.

2. Set a markdown trigger. Example rule: if velocity through week 4 implies under 55% FPST by markdown date, cut reorders or transfer stock now.

3. Judge buyers on FPST, not units sold. Anyone can sell out with enough discount. The skill is clearing at full price.