How Many Sales Does an Etsy Shop Have? How to Check and Estimate

Every Etsy shop shows its total number of sales on its shop page, just under the shop name, and anyone can see it without signing in. What Etsy doesn't show is how many of those sales happened this month, or how many came from any one listing. Those you have to work out, and the most common shortcut for doing it, multiplying reviews by a fixed number, is off for most shops.

Here's how to read the total, two ways to turn it into a monthly figure, and what we found when we measured sales per review across 338 real shops.

Where the total sales number is

Open the shop's page (etsy.com/shop/ followed by the shop name). The sales count sits near the top, under the shop name. It's a running total since the shop opened, and it only goes up.

Two things it can't tell you on its own: when those sales happened, and which listings they came from. A shop with 5,000 sales could be selling 200 a month today or could have done most of that three years ago.

Working out sales per month

There are two reasonable ways to get a monthly number, and they answer slightly different questions.

Method A: the whole-life average.

1. Note the total sales.
2. Work out how many months the shop has been open. The "On Etsy since" year is on the shop page.
3. Divide sales by months.

A shop with 3,300 sales that opened five years ago (60 months) averages 55 sales a month. It's simple, but slow early months pull it down, so it tends to understate a shop that's growing.

Method B: recent reviews times the shop's own ratio.

1. Divide the total sales by the total number of reviews. That's how many sales each review stands for in this shop.
2. Count the reviews left in the last 30 days (the reviews section can be sorted by most recent).
3. Multiply the two.

If that same shop has 500 reviews, each review stands for 6.6 sales. If nine reviews came in over the last 30 days, that's about 59 sales in the month. Read it as "about 60", not "59": on a quiet shop one review more or less swings it by a whole ratio's worth.

It also runs behind the calendar. Etsy only opens the review once the order's estimated delivery date has passed, and the buyer then has 100 days to leave it (Etsy Help: When can I leave a review for my order?; the same 100-day window is in Etsy's Buyer Policy). So the reviews you count this month mostly belong to orders placed a week or more earlier, and some to orders from last month. For a shop with steady sales that evens out. For a shop that just took off, or just went quiet, Method B lags the real change by a few weeks.

Which method to use when

When A and B disagree a lot, that's information in itself. A much higher B than A usually means a shop that's growing; a much lower B means one that was busier before.

Why "reviews × 20" gets most shops wrong

A lot of advice says to multiply reviews by a fixed number, often somewhere between 15 and 25. So we measured it.

On 25 September 2026 we took the shops behind 589 recently listed items across 12 common Etsy searches, 468 shops in all, and read each shop's total sales and review count from Etsy's API. For the 338 shops with at least 20 reviews:

• The median shop had 6.6 sales for every review.
• Half the shops fell between 4.8 and 9.9 sales per review.
• Three in four were under 10.
• Only 8% landed in the 15 to 25 range the rule of thumb suggests.
• The spread ran from 2.3 to 54 sales per review.

So a fixed multiplier of 20 would overstate most of these shops about three times over, and still get some of them badly wrong in the other direction. That's why Method B uses the shop's own ratio. It takes one extra division and it's the difference between a guess and an estimate you can defend.

What makes the ratio higher or lower

Once we had the numbers, we split the same 338 shops a few ways to see what goes with a high or low ratio. These are medians, and they describe these shops, not a rule.

Newer shops have more sales per review.

Part of that is the lag above: a young shop has a bigger share of its orders still inside the review window. Part of it is probably who buys from new shops. Either way, if you're sizing up a shop that opened last year, its ratio is likely higher than an older shop's, and a rule of thumb built on older shops would undercount it.

Shops with lower ratings have more sales per review. Shops rated under 4.8 stars had a median of 8.3 sales per review; 4.8 to 4.9, 6.9; 4.9 and above, 5.7. We can't tell from this data why. One plausible reading is that the shops buyers are happiest with are also the ones buyers bother to review. Whatever the cause, a star rating isn't a sales count, and a very high rating doesn't mean a shop sells more than one rated a little lower.

Shop size didn't line up neatly. Shops under 500 sales had the lowest median (4.8), shops between 500 and 2,000 the highest (8.5), and the bigger shops sat in between (6.4 to 6.7). There's no simple "big shops get fewer reviews" pattern here, which is one more reason to use each shop's own ratio instead of a borrowed one.

A note on the sample: these are the shops behind recently listed items in 12 common searches, so they lean toward shops that list often. They aren't a random draw of every shop on Etsy, and a shop that hasn't listed anything new in a while is less likely to be in here.

Sales per listing

Etsy gives one sales count for the whole shop, not one per listing. Some listings show a "sold in the last 24 hours" style note, but that's a short window, not a total.

You can estimate a single listing the same way as Method B: count that listing's reviews from the last 30 days and multiply by the shop's sales-per-review ratio. It only works for listings that get reviews, and a listing with no recent review isn't necessarily a listing that isn't selling. It just means the estimate has nothing to go on.

Tracking a shop over time

The only exact monthly or weekly number comes from reading the total twice. Note the sales count today, look again in seven days, and subtract. That difference is what the shop actually sold that week, no estimate involved. It's tedious to do by hand for more than one or two shops, but it's the one number Etsy's own counter gives you for free.

If you want a monthly figure this way, read the total on the same day each month, the first is easiest, and subtract. Four weekly readings in a row also show whether a shop is speeding up or slowing down, which neither estimate above can tell you, because both lean on reviews that arrive weeks after the sale.

A worked example

Here's one shop from our sample, with its numbers as Etsy reported them on 25 September 2026: 1,129 total sales, 185 reviews, open for about 22 months, 112 active listings, rated 4.97.

• Method A: 1,129 sales over 22 months is about 51 sales a month, on average, since the shop opened.
• Its ratio: 1,129 ÷ 185 = 6.1 sales per review, close to the median of the whole sample.
• Method B: if you then counted, say, ten reviews in its last 30 days, that would point to about 61 sales in the month. A bit above its lifetime average, which is what you'd expect from a shop that's still growing.

None of that needs anything beyond the shop page. The only number you have to count by hand is the recent reviews, and that's the step most people skip.

Mistakes that throw the estimate off

Counting every review instead of recent ones. The total review count tells you the ratio. For a monthly figure you need only the reviews from the last 30 days. Mixing the two gives you the shop's lifetime, not its month.

Comparing two shops by total sales alone. A total is a lifetime number. A shop with 6,000 sales over eight years and one with 750 sales over one year are selling at the same pace, about 62 a month. Divide by months before you compare.

Reading a star rating as a sales signal. As the numbers above show, the highest-rated shops in our sample actually had fewer sales per review, not more. Rating tells you how buyers felt; it doesn't tell you how many there were.

Trusting one quiet or busy month. Reviews arrive after delivery, and around the holidays that delay stretches. Look at two or three months, or read the total sales twice a week apart, before you decide a shop is booming or slowing down.

Before the holiday rush

October is when most sellers decide what to push for the fourth quarter, and it's also when looking at other shops pays off most. Pick a few shops that sell what you sell, work out which of their listings are moving now (Method B, or the listing-level version), and note what those listings have in common: price, how specific the title is, what the tags describe.

The same arithmetic works on your own shop. Etsy's Seller Handbook suggests using last season's numbers and seasonal trends to forecast roughly how many sales you'll make, so you can plan production and stock (How to Forecast Holiday Sales). Your own Stats already show your exact orders. Looking at a few similar shops is how you check whether your plan sits in the same range as theirs or is out on its own.

Two things to skip while you do it. Don't read too much into one quiet month: holiday buyers review after delivery, so December sales show up in January reviews. And don't copy holiday tags word for word, because many character and movie names are registered trademarks. The guide on Christmas and Halloween words to check before you list has the records.

Doing it in one step

ListingSafe's Etsy shop analyzer does all of the above for any shop you paste in. It shows Etsy's own total sales, shop age and reviews, both monthly estimates with the sums printed next to them, and its active listings sorted by estimated monthly sales. Open any listing in the table to see its tags, with trademarked words marked red. You can also watch a shop for free: we read its sales count every day and email you what it actually sold in the last 7 days, worked out the "read the total twice" way, so it's Etsy's own number rather than an estimate.

If you're looking at a shop to learn from it, the tags are often the most useful part. The Etsy listing tags tool shows the tags on any listing, and whether Etsy scans your tags covers why you shouldn't copy brand names out of them.