When to Markdown a Slow-Moving Shoe Size

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Shoe retailer checking a nearly empty size slot against inventory on a tablet
When to Markdown a Slow-Moving Shoe Size

A customer wants a size 10. You’re out. She isn’t going to buy the size 9 sitting next to it. That’s the whole problem with footwear inventory, and it’s why knowing when to markdown a shoe size can’t wait for the whole style to look slow: one size can already be dead weight on the shelf while the rest of the run still sells just fine.

Key Takeaways

  • A broken size run isn’t the same as being out of stock, and it kills sales even while the style’s overall numbers still look healthy.
  • Three triggers tell you a size needs a markdown: how many pairs are left, how it’s selling against its own size curve, and how many weeks of stock remain versus the season.
  • A staged markdown, a smaller cut first, a deeper one if it doesn’t move, protects more margin than waiting and then discounting hard.
  • Catching this early depends on seeing stock at the size level, not just the style level.

What Counts as a Broken Size Run?

A broken size run is a style where some sizes have sold out and others haven’t, not a style that’s out of stock entirely. The distinction matters because a shoe customer who wants a missing size will not buy a different one, unlike a shopper who might grab a different color shirt in their size.

That’s what makes a broken size run dangerous. Your stock report shows pairs sitting on the shelf, so nothing looks urgent. But if those pairs are all a size 7 and 12, and every customer who walks in wears an 8, 9, or 10, you’re effectively out of stock for the only sizes anyone actually wants.

Why Style-Level Numbers Hide a Broken Size

Picture a style that comes in six sizes. Four of them sold through at a healthy pace. Two are sitting untouched. Look at the style’s overall sell-through and it still reads fine, maybe 65 to 70 percent sold, nothing that jumps out on a weekly report.

But those two dead sizes aren’t going to move on their own, and they’re not going to average out. Most markdown advice is written for the whole SKU: mark down the style when its total sell-through lags. That works for a plain t-shirt, where a customer will grab any size close enough. It doesn’t work here, because the decision that actually matters is happening two sizes at a time, hidden inside a number that still looks acceptable.

Shoe display shelf showing full stock in most sizes and sparse stock in a couple of size slots

The Three Triggers That Tell You It’s Time

None of these three needs the other two to agree. Any one of them firing on its own is reason enough to act on that specific size.

Trigger 1: Size Count Remaining

The simplest rule doesn’t need a spreadsheet. When a color or style is down to one or two pairs in a given size, that size has effectively stopped being a real selling proposition, it’s a matter of when, not if, the last pair goes and the size disappears from the shelf. Treat that count as your first, no-analytics-required trigger. Adjust the exact number to your own volume: a high-traffic store might set the line at three pairs instead of one.

Trigger 2: Sell-Through Rate Against Its Own Size Curve

Every style has an expected size curve, the rough share of sales each size should carry based on your customer base. A size 9 and 10 usually carry more of the volume than a size 6 or a 13. Track sell-through by size against that curve, not against the style average.

If a size is sitting 10 or more percentage points behind where it should be by week six of the selling period, that’s your signal. For example: a style expected to have moved 50 percent of its size 8s by week six has only moved 35 percent. That’s not “give it more time,” that’s a trigger.

Trigger 3: Weeks of Supply Versus Remaining Season

Divide what’s left in that size by its recent weekly sell rate, and you get weeks of supply. If that number is longer than the weeks actually left in the selling season, the math already tells you those pairs aren’t selling out at full price, regardless of how many are left or how the rest of the style is doing.

The Staged Markdown Table: How Deep, How Fast

A single flat discount wastes margin on sizes that would have sold with a small nudge, and undersells the ones that need a real push. Stage it instead. This is one workable model, adapt the percentages and pair counts to your own store rather than copying them as a fixed rule.

Stage Trigger Typical Markdown Where It Sells
Stage 1 1-2 sizes remain in that color/style, or sell-through lags its curve by 10+ points at week 6 15-20% Main floor, same shelf
Stage 2 No improvement within 2 weeks of Stage 1, or weeks of supply exceeds remaining season 30-40% Main floor, clearly marked clearance section
Exit Still not moving after Stage 2 50%+ or routed out Outlet channel, online clearance, or a final blowout

Catching Stage 1 the week it happens, not a month later during the next full count, is the difference between a 15 to 20 percent markdown protecting most of your margin and a 50 percent fire sale being the only option left. That’s not a pricing strategy problem at that point, it’s an inventory visibility problem that happened weeks earlier.

Markdown vs. Clearance: Different Tools, Different Endpoints

These two get used interchangeably, and they shouldn’t be. A markdown is a price step down on an item still selling in your normal channel, on the regular shelf, at a discount. Clearance is the exit: the item has already had its markdown chances and is moving to a designated clearance section, an outlet, or an online blowout because the smaller discounts didn’t clear it.

Treat a markdown as a question, will a smaller discount move this. Treat clearance as an answer: no, and it’s time to get it off the books.

Catching It Before It Becomes Dead Stock

A footwear markdown strategy built on these three triggers only works if you can see stock at the size level in real time. A style-level count that says “12 pairs left” tells you nothing about which sizes those are. In our experience working with independent and multi-store retailers over more than 50 years combined, the single most common reason a broken size run turns into dead stock isn’t a bad markdown decision, it’s not noticing the size was broken until the next physical count, weeks after Trigger 1 would have already fired.

A POS system built for footwear that tracks inventory down to size and color, not just style, is what makes Trigger 1 something you catch the day it happens instead of the month you happen to do a recount. Miss that window consistently and you’re not managing broken sizes anymore, you’re managing dead stock.

Frequently Asked Questions

What’s the difference between a broken size run and being out of stock?
Being out of stock means you have zero units of that style left. A broken size run means you still have pairs on the shelf, just not in the sizes anyone wants. The style looks stocked on paper while the shoe sizes that actually sell are gone.
How do I know if a shoe size is slow-moving or just early in its season?
Compare it to its own size curve, not the calendar. If a size is more than 10 points behind where it should be by week six of the selling period, it’s slow. If it’s only a week or two into the season and tracking close to its curve, give it more time.
Should I markdown one size or the whole style?
Markdown the size, not the style, whenever the other sizes are still selling at a healthy pace. Marking down an entire style because two sizes are broken gives away margin on sizes that didn’t need the discount.
What’s the difference between a markdown and a clearance sale?
A markdown is a smaller, staged price cut on an item still sold in its normal spot. Clearance is the final step when markdowns haven’t worked and the item needs to move out through an outlet, a dedicated clearance section, or a final blowout. For the full picture of what a footwear-specific POS setup looks like, see our shoe store POS system page.
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Written By RealtimePOS Team Reviewed By RealtimePOS Founder

RealtimePOS is built and run by a team with over 50 years of combined retail systems experience, serving independent and multi-store retailers across the U.S. Based in Charlotte, NC, the team works directly with retailers to solve the everyday operational problems of running and growing a physical store: inventory accuracy across locations, faster checkout, and connecting in-store and online sales into one view.

This article was reviewed by RealtimePOS's founder, based on direct experience working with independent and multi-store retailers on POS and ecommerce integration.