Jewelry Store KPIs: The Numbers That Run the Store

Most jewelers can tell you what they sold last month. Far fewer can tell you which half of the floor paid for itself, which vendor is quietly financing itself with your money, or how much cash is standing in the cases doing nothing. Revenue is the number everybody watches and the one that explains the least.

This is the short list of numbers that actually tell you how the store is doing — what each one is, how to calculate it, what it is trying to tell you, and how often it is worth looking at. Nothing here needs a consultant. Most of it is already sitting in your point of sale.

Start With Five

If you track nothing else, track these. Everything further down is elaboration.

  1. GMROI — what each dollar tied up in inventory earns you.
  2. Aged inventory — how much of the floor has stopped moving.
  3. Sell-through by category and vendor — what is working and who to buy more from.
  4. Average ticket — the cheapest lever you have on revenue.
  5. Repeat purchase rate — whether you are building a business or renting customers.

The Inventory Numbers

Inventory is where a jewelry store's money lives, so this is where the important numbers are. It is also where the comfortable lies live — a full case looks like a healthy business right up until you price out how long it has been full.

Inventory Turn

Cost of goods sold ÷ average inventory at cost. How many times you sold through your stock in a year.

Jewelry turns slower than almost any other retail category, so resist comparing yourself to general retail — it will tell you nothing useful. Two comparisons do work. First, you against last year. Second, your categories against each other: if silver turns three times and your bridal case turns a third of a time, that gap is a decision waiting to be made, regardless of what either number is in the abstract.

GMROI (Gross Margin Return on Investment)

Gross margin dollars ÷ average inventory cost. Read it as: for every dollar I have tied up in stock at cost, how many dollars of gross margin come back?

This is the single most useful number on the list, because it is the one that catches the trap margin percentage hides. A line at 60% margin that sits in the case for three years earns less than a line at 35% that turns four times a year — but a margin report will show the first one as your best performer. GMROI shows the truth. A GMROI of 1.00 means the line returned exactly as much gross margin as you have invested in it; above that it is contributing, below it is consuming.

Run it per category and per vendor, not just store-wide. Store-wide GMROI is a number to report; category GMROI is a number to act on.

Sell-Through Rate

Units sold ÷ (units sold + units still on hand), over a defined period.

Sell-through is the honest reading on a buy. It answers "of what I brought in, how much actually left?" — which is exactly the question a vendor rep will never ask you. Measured per vendor over a season, it tells you where next year's open-to-buy belongs. Measured per style, it tells you what to reorder while it still matters.

Aged Inventory

Cost value of stock older than N months ÷ total inventory cost.

Bucket it — 0–6 months, 6–12, 12–24, and over 24 — and watch the shape change over time rather than the single number. The over-24 bucket is the one that hurts: it is capital you already spent, sitting where new goods should be, and every month it stays it gets harder to move. Set a rule for what happens when a piece crosses a line, and follow it. A proper audit is what makes these buckets trustworthy in the first place.

Shrinkage

(Book inventory − counted inventory) ÷ book inventory, at cost.

You cannot calculate it without counting, which is the real argument for counting often. The number matters less than its direction and its location — shrinkage concentrated in one case, one shift, or one category is telling you something specific.

The Sales-Floor Numbers

Average Ticket

Net sales ÷ number of transactions.

The cheapest revenue lever in the store, because moving it does not require a single additional customer through the door. Track it by associate as well as store-wide: the spread between your best and worst is a training plan, written for you.

Units Per Transaction

Units sold ÷ transactions.

The companion to average ticket, and the one that shows whether a rising ticket came from selling more or just from selling dearer. Both are fine; knowing which is happening is better.

Close Rate

Transactions ÷ opportunities.

The hardest number here, because it needs somebody to count opportunities — a door counter, or associates logging ups. It is worth the trouble. Close rate is the difference between a slow week that was genuinely quiet and a slow week where forty people came in and nobody asked for the sale, and those two weeks demand completely different responses.

Sales Per Associate

Net sales ÷ associate, ideally per hour scheduled rather than per shift.

Per hour is the fairer version, because it does not punish the person you always put on Tuesday mornings. Pair it with average ticket before drawing conclusions about anybody.

The Customer Numbers

Repeat Purchase Rate

Customers with two or more purchases ÷ total customers, over a period long enough to mean something — two or three years, not one quarter.

Jewelry purchase cycles are long, so this number moves slowly and is easy to ignore. Do not. It is the clearest signal of whether you are accumulating a client base or replacing one. More on the mechanics in customer retention for jewelers.

Repair-to-Sale Conversion

Repair customers who later bought a piece ÷ total repair customers.

Almost nobody measures this, and it is one of the most revealing numbers in a jewelry store. Repair customers have already handed you their jewelry and trusted you with it. If very few of them ever buy, the problem is not traffic.

Wish List and Quote Conversion

Quotes or wish-list items that became sales ÷ total created.

A low number here usually means nobody is following up, which is a fixable process problem rather than a market problem.

The Operations Numbers

Repair Turnaround

Average days from intake to ready, and separately, percentage delivered by the promised date.

The second one is what customers actually experience. A store averaging nine days and hitting its promise 95% of the time has a better reputation than one averaging six days and hitting 70%. Track both. See repair tracking for the workflow that makes this measurable.

Layaway Liability and Default Rate

Sum of open layaway balances, and plans cancelled ÷ plans opened.

Liability tells you how much merchandise is spoken for but not paid for. Default rate tells you whether your terms are right. A default rate creeping up usually means the deposit is too low or the term is too long — both covered in the layaway guide.

Memo Aging

Days out, per piece, in and out.

Memo in from vendors that never sells is inventory risk you have not paid for yet but are carrying anyway. Memo out to customers that never comes back is a different problem entirely. Track both directions.

How Often to Look

The fastest way to make a scorecard useless is to look at everything at the same frequency. Slow-moving numbers checked daily just generate noise and eventually get ignored along with everything else.

Two Numbers Are Better Than Twenty

A scorecard nobody reads is worse than no scorecard, because it costs time and buys the comfortable feeling of being data-driven. Pick two numbers you are actually going to change this quarter — aged inventory over 24 months and average ticket, say — put them somewhere visible, and leave the rest for the quarterly review.

The other discipline worth keeping: write down what you expected before the period starts, then compare. A forecast you never check against reality teaches you nothing. This is the same point as Step 9 of the holiday season checklist — decide what you will measure before the season, not after it.

Where the Numbers Come From

Everything above is already implied by data in your point of sale. The obstacle has never been the arithmetic; it is that pulling it usually means exporting to a spreadsheet, and a report that takes forty minutes to build is a report you build twice a year.

  1. Standard reporting covers turn, sell-through, aged-stock buckets, average ticket, layaway liability and repair turnaround directly.
  2. Ask AI answers these in plain English, so the question you have at 4pm on a Saturday gets answered at 4pm on a Saturday. "Which vendors sold through worst this year", "what is my average ticket by associate", "how much is sitting past two years" — see asking your data in plain English.
  3. Demand forecasting takes the same history forward, projecting likely demand by style, category and vendor — so the scorecard feeds the buy instead of just grading it afterwards.
  4. Follow-up questions work. The useful number is rarely the first one; it is the third, after "break that down by category" and "now compare it to last year."

FAQs

What is a good inventory turn for a jewelry store?
Jewelry turns slower than almost any other retail category, so a general-retail benchmark will only depress you. The useful comparison is against yourself: this year versus last year, and each of your categories against the others. A category turning at half the rate of the rest of your floor is the one to act on, whatever the absolute number is.

What is GMROI and why does it matter more than margin?
GMROI is gross margin dollars divided by average inventory cost. Margin percentage tells you what you make per sale; GMROI tells you what you make per dollar tied up in stock. A 60% margin line that sits for three years earns less than a 35% margin line that turns four times, and only GMROI shows that.

How often should I look at these numbers?
Daily for sales and average ticket, weekly for sell-through and repair turnaround during a busy season, monthly for aged inventory and layaway liability, and annually for GMROI and turn by category. Looking at slow-moving numbers daily just adds noise.

Can WJewel calculate these for me?
Yes. The reporting covers turn, sell-through, aged-stock buckets, average ticket, layaway liability and repair turnaround out of the box, and Ask AI answers the same questions in plain English without building a report. Demand forecasting then projects the next period from that history.

See Your Own Numbers

Request a Free WJewel Demo → and we will run these against your own data — turn, GMROI, aged stock and sell-through, on your categories.

About the author

· Architect of WJewel

Javid Ishal is the architect of WJewel and a cum laude graduate of Columbia University. He has advised jewelry businesses on operations and software since 1987, including work with brands such as Gabriel & Co., Effy and Imagine Bridal.

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