Podezzy is a set of free research tools and plain-English guides for people selling print-on-demand products on marketplaces — mostly Etsy, but the thinking carries to Amazon, TikTok Shop and Shopify.
It exists because most advice aimed at print-on-demand sellers is written by people who have never had to explain where a number came from. Ours all come from the same place, and we say so on every page.
There are two halves to the site. The tools answer a specific question in one lookup — is there demand for this phrase, who is winning it, does this shirt make money at that price, is this file big enough to print. The guides explain the mechanism behind the question, so the answer means something after you close the tab.
Sales, views, favourites, revenue, listing counts and shop counts are read from daily snapshots of Etsy marketplace activity.
They are measurements of observed activity, not Etsy's internal accounts. That makes them reliable for comparing one term or shop against another, which is what research is actually for. It does not make them an audited total, and we will not pretend otherwise.
Every board and lookup prints the date its data was last refreshed, so you can always see how current a figure is rather than taking it on trust. Where a number is a lifetime figure rather than a recent one, the tool says so — the shop analyzer is explicit that its sales are lifetime and its average is across the whole life of the shop, because a lifetime average dressed up as this week's trend is the most common way this kind of data gets misread.
The calculators are a different thing entirely and it is worth being clear about the distinction. The fee calculator, the profit calculator, the checkers and the design-size tools do not call anything: they run entirely in your browser on the numbers you type, and a file you drop into the print file checker never leaves your machine.
Four numbers do most of the work across the research tools, and none of them is a black box.
Opportunity is the share of demand the established sellers do not already hold. It is the single most useful figure on the site, because it is the one that separates a term you can enter from a term you can only watch. Above 50 means there is room; below 30 means the top shops have it locked up.
Competition counts how many shops and listings are contesting a term. High competition with high opportunity is a large market that nobody has consolidated; high competition with low opportunity is a closed one.
Keyword score is the overall verdict — demand weighed against how hard the term is to win.
Lifecycle stage is the one people skip, and skipping it is expensive. A declining term often shows a flattering opportunity score for the simple reason that the sellers have already left. Check it before you build anything.
This is also why raw search volume is close to useless as a target. A term moving over 900,000 units a month at an opportunity of 22 is a worse bet for a new shop than one moving 40,000 at an opportunity of 60 — the demand in the first is already absorbed. How Etsy search actually ranks a listing works through why, in the order Etsy applies it.
We never fill a gap with an estimate. If we do not have data for something, the tool says so. A plausible-looking invented number is worse than no number, because you cannot tell it apart from a real one. When the marketplace's own related-terms index came back empty on every term we tested, we did not fabricate a list — we rebuilt related keywords out of the tags on listings that demonstrably rank, and the tool says that is what it is doing.
Scores are explained, not asserted. Every tool page has a How it works section telling you what the score measures and when to distrust it.
No allowance is written into the copy as a number. The free tier is priced off an upstream meter and it has changed before. Prose that spells out a cap goes stale silently, so the number you see is always read live for your own address rather than typed into a page by us.
The free tier is genuinely free. No account, no card, no email wall. Each tool has its own daily allowance and shows you what you have used as you use it; the leaderboards and reference tools are cached and have no limit at all.
We disclose what we earn from. See the disclosure page — it is short, and it says plainly what the commercial relationship does and does not affect.
Worth saying, because a research tool that will not name its limits is not much of a research tool.
The marketplace data is Etsy only. The guides discuss Amazon Merch, TikTok Shop and Shopify because the economics and the file specifications carry across, but no figure on this site is measured from those platforms.
We have no windowed sales data for shops — only lifetime totals and ranks. If the question is who is selling well right now, it has to be asked of a keyword instead, which is what shops winning a keyword is for.
The studio's free renders are sized to judge an idea, not to print one. What a printer actually needs is a different number from the one most sellers repeat, and DPI, bleed, and the 300 DPI myth works it out per placement.
Podezzy is not affiliated with Etsy, Amazon, TikTok or Shopify, and none of them endorses it.
Sellers who already know the basics and want the mechanism. If you are looking for "10 trending niches for 2026", this is the wrong site. If you want to know why a keyword with 900,000 sales is a worse bet than one with 40,000, start with the keyword research tool.
It suits you best if you are past your first few sales and have started noticing that the advice you can find for free contradicts itself. The four guide clusters — Etsy SEO, design and print files, money and operations — are the four places that contradiction usually costs money.
The guides are written and maintained by the Podezzy desk, working from the same daily marketplace data the tools run on. Nothing here is reprinted from elsewhere or generated and published unread. Where a guide states a fee, a limit or a rate, it carries the date it was checked, because Etsy changes those and a confident undated figure is how sellers end up pricing a catalogue wrong.
If a tool returns something that looks wrong, tell us — a broken number is the one bug we care about most. Send the exact term or shop name you used and what you expected instead; we re-run it against the warehouse and can usually say within a day whether it is a bug or a real change in the data. The contact page goes straight to the people who maintain it.
