Etsy Searches per Listing: What 20 Keywords Showed

The number of listings competing for a keyword is easy to find, and so is the demand behind it. The division between the two is the part I had never run. When I ran the division across twenty keywords using Etsy's own search data, the results were not close: the same market can look crowded or empty depending entirely on which number you put on top of the fraction.

Written by Mouhcine El Aboudi at SellerAIReady. Last updated 7 September 2026.

The number this page divides before opening the design tool

The standard research routine goes like this. You type a product idea into Etsy, you look at the result count near the top of the page, and you make a judgement. Twenty thousand listings feels like too many. Four thousand feels manageable. Then you go and build the product.

That judgement is made on one number in isolation, and one number in isolation cannot tell you anything about competition. Four thousand listings competing for six hundred monthly searches is a completely different market from four thousand listings competing for thirty monthly searches, and the second one will quietly consume a week of your life before it tells you anything.

Etsy now publishes both halves of that fraction inside Marketplace Insights, in the same panel, for free, on any active shop. I covered where the panel lives and what it replaced in the walkthrough of Etsy's first-party search data. The part I had not used is the arithmetic between the two figures.

This article does that arithmetic on twenty keywords, then spends most of its length on the harder question: what the resulting ratio is actually capable of telling you, and the three specific ways it will mislead you if you treat it as a difficulty score.

What "searches per listing" actually measures, and what it cannot

The ratio can be written either way round, and the direction changes how it reads.

• Listings per search. Competing listings divided by monthly searches. Higher is worse. A value of 82 means eighty-two listings exist for every single search that happens in a month.
• Searches per listing. The inverse. Higher is better. The same market expressed as 0.012 searches per listing.

I use listings per search throughout this article because whole numbers are easier to hold in your head than three-decimal fractions, and because the direction matches the emotional reality: a big number is a big problem.

Here is what the ratio genuinely measures. It measures structural attention scarcity. It tells you how thin the available buyer attention becomes once it is spread across every listing that has ever been created for that phrase. That is a real property of a market and it is knowable before you build anything, without spending anything and without a third-party estimate.

Here is what it cannot do. It cannot tell you whether you personally will rank, because Etsy does not distribute impressions evenly. It cannot tell you whether those buyers convert, which is a separate signal I broke down in the piece on Etsy's conversion rate labels. And it cannot tell you whether the money is worth having, which depends on the median price and what survives the fee stack, covered in the median purchase price breakdown.

The unit problem: a monthly flow divided into a cumulative stock

This is the part I had wrong myself until I checked the units, and it is worth slowing down for.

The two numbers you are dividing are not the same kind of number.

Monthly searches are a flow. They are a rate: this many events per month, and next month the counter restarts at zero. Competing listings are a stock. They are an accumulated total, built up over however many years sellers have been uploading products for that phrase, and that counter never resets. Nothing removes a listing from the pile except a seller deactivating it or letting it expire unrenewed.

Dividing a stock by a flow produces a figure whose units are, strictly speaking, listings per search per month. That is not meaningless, but it is not the clean difficulty score people treat it as. And it carries one immediate practical consequence that is easy to miss: the ratio deteriorates on its own. Supply accumulates every month while demand merely repeats, so a phrase that reads as balanced today reads as crowded in eighteen months with no change in buyer behaviour at all. You are not measuring a stable property. You are taking a snapshot of a slope.

There is a cleaner way to express it. Multiply the monthly searches by twelve to put demand on the same annual footing as a stock that has been building for years, then divide the listing count into it. What you get is the number of searches per year that each listing could hope to be shown in, if Etsy distributed impressions perfectly evenly, which it does not. It is a floor, not a forecast, and the floors are sobering.

Read the bottom row properly, because it is the whole argument of this article compressed into one line. Under a perfectly even distribution, a listing built for small business tracker would be placed in front of a searching buyer roughly once every twenty-two years: 35,100 listings against 1,572 searches a year. Etsy is not evenly distributed, which is exactly why the top of that market does fine and why the arithmetic still matters: your listing has to break into the visible layer or it receives approximately nothing.

The four tiers of the market saturation spectrum

For screening purposes I bucket the listings-per-search figure into four tiers. These thresholds are mine, not Etsy's. I chose them by sorting the terms I had already pulled and looking at where the practical behaviour of the market changed, and I will say plainly that a different sample would justify slightly different cut points.

• Low supply, under 15 listings per search. Demand is thin in absolute terms but so is supply. A competent new listing can be seen here within weeks. Almost always an informational or navigational phrase.
• Balanced, 15 to under 50. Real competition, real visibility. This is the only tier where a first product has a defensible chance without an existing review base.
• Crowded, 50 to under 150. Entry requires a differentiator that survives a thumbnail: a distinct format, a bundle, or a price position. Expect months, not weeks.
• Hyper-saturated, 150 or more. The visible layer is owned by shops with thousands of reviews. A new listing here is a lottery ticket with a design fee attached.

The earlier illustration assigned numerical saturation percentages that this study does not establish. It has been removed. Use the labelled ratio thresholds and source table in the article instead.

Where twenty seller keywords landed on the spectrum

The sample is the same twenty phrases I pulled for the twenty-keyword study, all of them describing products sold to Etsy sellers rather than to retail buyers, a market I looked at on its own terms in the piece on selling printables to Etsy sellers. Every figure comes from Etsy's own panel, captured on 27 August 2026, not from a third-party estimate.

Three observations, and only the third one changed how I work.

First, the distribution is lopsided towards the middle. Fourteen of twenty phrases sit in the balanced or crowded tiers. That is what a mature niche looks like from the inside: not a wall, and not an open field.

Second, the low-supply tier is populated entirely by phrases where the buyer is not shopping. Somebody typing etsy shop search or etsy seller dashboard into Etsy is usually looking for a tool or a page, not a product to buy. The supply is thin because the demand is not commercial. A favourable ratio arrived at through absent purchase intent is not an opportunity, it is a category error, and it is one way this metric gets misused.

Third, and this is the one that mattered, the ratio and the singular-plural form of the same phrase can sit in different tiers. etsy shop template at 138 and etsy shop templates at 130 are effectively the same market, but etsy listing template at 82 is a materially different one, and etsy listing mockup at 178 is a third. One word changes the tier. If you screen a product idea using one phrasing and build against it, you may have screened a market you are not actually entering.

Only the first two pages exist: why nineteen thousand competitors is a fiction

Now the correction that makes the ratio usable.

When Etsy reports 19,700 competing listings, you are not competing with 19,700 listings. You are competing with the listings a buyer will actually scroll past before deciding, and that set is small. Buyers do not paginate deep into Etsy results; they refine the query, or they buy something on the first screen or two.

So I work with a visible supply assumption: treat the practical competitive set as the first hundred listings for the phrase. I want to be explicit that this hundred is my assumption and not an Etsy disclosure. Etsy publishes neither its page size guarantees nor the depth distribution of buyer scrolling. Take the number as a modelling convenience that is far closer to reality than 19,700, and adjust it if your own listing statistics suggest otherwise.

Apply it and the arithmetic changes character completely.

Two things fall out of that table, and I had stated the first one too loosely. Hold the pair of terms fixed and the spread genuinely collapses: etsy shop search against small business tracker is a factor of thirty on total supply, 268 against 9, and a factor of five on visible supply, 6.3 against 1.3, because the visible layer is capped no matter how much total supply exists. The twenty-fold spread still showing in the last column belongs to a different pair, because etsy seo guide replaces small business tracker as the worst term once absolute volume rather than supply drives the figure. That substitution is the second finding: terms with genuinely low absolute volume stay bad in both columns. etsy seo guide is not saved by the correction; at thirty-one monthly searches there is nothing to divide.

The ratio you should actually compute

Given all of that, here is the calculation I now run, in the order I run it, on every candidate phrase.

1. Absolute demand gate. Monthly searches from Etsy's panel. Below roughly a hundred and fifty, the phrase cannot carry a product on its own regardless of how empty it looks. Note that this floor is my judgement based on what a realistic conversion share leaves behind, not a threshold Etsy publishes.
2. Total supply ratio. Listings divided by monthly searches. This assigns the tier and tells you the entry cost.
3. Visible supply check. Monthly searches divided by one hundred. Below about two, the visible layer is too thin to build a business on even if you win it.
4. Direction of travel. Etsy's panel shows the change in search volume. A crowded ratio with demand rising sharply is a different proposition from a crowded ratio with demand flat, because supply lags demand and the ratio is already improving.
5. Revenue sanity. Multiply the searches by a conservative conversion share and by the median price, then subtract the fee stack. If the whole phrase is worth less per month than a takeaway meal, stop, no matter what the ratio said.

That fifth step is where most of my own rejections happen, and it is why I stopped building products off ratios alone. The full five-gate version of this process, with the buyer-phrase and margin gates spelled out, is in the demand validation framework.

Three ways the ratio lies to you

It lies about relevance. Etsy's listing count for a phrase includes every listing the search engine considers a partial match, which is not the same as every listing a buyer would consider a real alternative. A count of 22,100 for craft business planner is padded with generic planners, printables, and anything carrying two of the three words. The count is an upper bound on competition, not a measurement of it.

It lies about age. A ratio of 20 on a phrase that has existed for eight years is a stable market with entrenched incumbents. The identical ratio on a phrase that appeared four months ago is an open market where review counts have not yet accumulated. Same number, opposite decision, and the ratio cannot distinguish them. Only the volume trend line in Etsy's panel hints at it.

It lies about who is in the visible layer. Two markets with the same ratio can have completely different top hundreds: one dominated by twelve shops with thousands of reviews each, the other spread thinly across ninety small shops. The second is enterable and the first is not. Etsy's panel does not tell you this. You have to open the results and read the review counts, which takes two minutes and is the highest-value two minutes in the whole process. What that accumulated review base is worth, and how long the first three take to arrive, is a separate piece of arithmetic.

What a low ratio does not promise

A favourable ratio promises exactly one thing: that if you reach the visible layer, there is a plausible amount of attention waiting there relative to the number of listings chasing it. It promises nothing about the four steps before that.

It does not promise the buyer intends to buy. It does not promise the buyer will pay a price that survives the fee stack; at a median around two dollars a digital sale leaves roughly a dollar and a third, USD 1.36 on a USD 2.00 sale, derived line by line in the 2026 fee breakdown which is the page that maintains those figures, and that sets a brutal floor on how many sales an idea needs to matter. It does not promise Etsy's algorithm will show a listing with no sales history, and it does not promise the phrase describes something buyers actually type rather than something sellers wish they typed.

This is the same trap as reading a conversion label in isolation. A single favourable metric feels like permission. It is not permission, it is one of five conditions, and the failure mode of ratio-driven research is a shop full of products that all passed one test.

Using the ratio as a portfolio screen, not a verdict

Here is the shift that made this metric useful to me.

Stop asking whether one idea passes. Start with thirty or forty candidate phrases you could plausibly build for, run the ratio across all of them in one sitting, and let it sort the list. The ratio is weak at judging a single phrase and genuinely strong at ordering many phrases, because the errors it makes are roughly consistent across the set. Relevance padding inflates every count in the same direction. Ranking survives errors that individual verdicts do not.

The workflow that produces:

1. List every phrase a buyer might use for the thing you are considering, including singular and plural variants and the near-synonyms. Twenty to forty entries.
2. Pull searches and listings for each from Etsy's panel and compute the ratio. Sort ascending.
3. Discard everything below your absolute demand floor regardless of ratio. This usually removes a third of the list.
4. Take the top five survivors and only then spend time on them: open the results, read review counts in the visible layer, check the median price, check the conversion label.
5. Build for the one phrase that passes all of it, and write the listing title around that exact phrasing rather than the one you assumed at the start.

Step five is the part people skip and it is where the money is. The phrase that survives a portfolio screen is frequently not the phrase you began with, and building for the phrase you began with while having researched a different one is the mistake that has cost me the most.

When to accept a hyper-saturated keyword anyway

There are three situations where I would knowingly enter a market above 150 listings per search, and it is worth naming them so the tiering does not read as an absolute prohibition.

The first is when you already hold the visible layer for an adjacent phrase. A shop that ranks for a related term inherits impressions on the saturated one through Etsy's own recommendation surfaces, and the entry cost is near zero because the listing already exists.

The second is when the saturated phrase is a secondary tag on a listing built for a balanced phrase. Nothing stops a listing from being visible on a crowded term as a bonus; the mistake is making the crowded term the reason the product exists.

The third is when the median price is high enough that the visible layer only needs a trickle. A saturated market at a thirty dollar median can be worth more per sale than an empty market at two dollars, and that comparison is a price question, not a competition question.

Combining the ratio with the other four signals

Etsy's panel gives you four numbers per phrase and the ratio is built from two of them. Used together they answer four different questions, and each one on its own answers none.

Read the right-hand column as the reason no single number ever gets to decide. The last two rows each have their own page, both linked from the second section of this article, so I am not going to send you to them twice. The broader question of whether the marketplace as a whole is too crowded to enter is covered in the saturation analysis.

What to do when Etsy's panel has no data

On low-volume phrases the panel returns no figures at all rather than small ones. When that happens, the correct response is to record the absence and move on. Do not substitute a number from memory, and do not average two neighbouring phrases and call the result an estimate; a fabricated denominator produces a fabricated tier and you will build against it.

If you need a volume figure for a phrase Etsy will not report, that is the one place a third-party tool earns its subscription, and you should treat its number as a modelled estimate rather than a measurement. I compared how the two main tools construct those estimates in the eRank and EverBee comparison, and I checked one of them against Etsy's own published figures in the EverBee accuracy test. The shortlist of tools worth paying for at all is in the AI tools roundup. If you want to check one of them against your own shortlist, EverBee and eRank both have free tiers that are enough for a first pass.

Your twenty-minute saturation screen

1. Minutes 0 to 5. Write down every phrase a buyer could use for your idea, singular and plural, twenty entries minimum. Do not filter yet.
2. Minutes 5 to 12. Open Marketplace Insights and pull searches and listings for each phrase. Record both raw numbers in a sheet, never just the ratio.
3. Minutes 12 to 15. Compute listings per search, sort ascending, and assign tiers. Delete every row under your absolute demand floor.
4. Minutes 15 to 18. For the top three survivors, divide monthly searches by one hundred to get searches per visible listing. Anything under two goes.
5. Minutes 18 to 20. Open Etsy search for the last phrase standing and read the review counts of the first twenty results. If more than half are above a thousand reviews, the visible layer is closed and you move to the next survivor.

Twenty minutes, no subscription, no estimated volumes. If nothing survives, that is a result and not a failure. Learning that a category is closed before you build for it is information you can get before spending anything, and it is the entire reason I keep publishing these numbers instead of product launches. The related problem of listings that get impressions but no orders is handled in the views without sales diagnosis, and the measurement side of all of this in the AI shopping SEO measurement guide.

What each source actually says

Added 4 September 2026. Every figure on this page comes from one of the sources below. Where a row rests on a report by somebody else rather than on something measured here, the row says so, and where a figure is derived rather than published, the arithmetic is shown.

Frequently asked questions

What is the searches per listing ratio on Etsy?

It is the monthly search volume for a phrase divided by the number of listings competing for it, or its inverse, listings per search. It expresses how thinly buyer attention is spread across existing supply. Both figures come from Etsy's own Marketplace Insights panel, so the ratio is built from first-party data rather than a third-party estimate.

Where do I find the number of competing listings for an Etsy search?

Open Shop Manager, then Stats, then Marketplace insights, and search the phrase. Etsy reports the monthly search volume, the number of competing listings, a conversion rate label and a median purchase price range in the same panel. It is available on any active shop at no cost, and lookups are metered, so plan your list of phrases before you start.

What is a good searches per listing ratio?

Working in listings per search, I treat under 15 as low supply, 15 to under 50 as balanced, 50 to under 150 as crowded and 150 or more as hyper-saturated. Those cut points are my own working thresholds derived from a twenty-keyword sample, not figures Etsy publishes, and they are only meaningful once the phrase has already cleared an absolute demand floor.

Does a low ratio mean the keyword is easy to rank for?

No. Etsy does not distribute impressions evenly, so a favourable ratio tells you attention is available in principle, not that you will receive any of it. A low ratio caused by absent purchase intent, which is common on navigational phrases, is worse than a crowded ratio on a phrase buyers actually shop.

Should I use the ratio instead of a keyword tool?

Use it first, because it is free and built from Etsy's own numbers, and use it across many phrases rather than on one. A paid tool earns its place afterwards, mainly for phrases Etsy declines to report and for competitor revenue estimates, which no ratio can produce.

Etsy publishes both halves of the competition question and charges nothing for either. A crowded keyword is not what costs money here. Skipping the division is.