PPSPY vs Dropship.io
Two Shopify research tools that do broadly the same job: find products that are selling, watch the stores selling them, and put a revenue number on both. This page compares them on what each publishes about itself, with the date we read it attached to every claim. StoreLens makes neither of these tools and sells against both eventually, so the last section says plainly where we fit — and where we do not yet.
The short version
On the prices dated below, Dropship.io is the cheaper entry into this category and the broader product: several research surfaces — products, shops, ads, advertisers, creators — each metered separately. PPSPY is the narrower and more expensive one, sold harder on sales tracking specifically, with a Chrome extension and larger tracking limits at the top of its range. If you want one tool to browse a category with, Dropship.io covers more ground for less. If you want to watch a specific set of competitors closely and are willing to pay for headroom, PPSPY's upper tiers go further.
Neither of them will tell you how confident it is in the numbers it shows you, which is the thing worth knowing before you build a decision on one.
PPSPY
What PPSPY says about itself, and when we read it
A Shopify research platform sold on predicted order data and sales tracking, with a Chrome extension. PPSPY
- PPSPY's plans are Standard at $39/month, Pro at $99/month and Business at $299/month, with roughly 30% off for annual billing. (as of 31 July 2026, from PPSPY's pricing page)
- Those plans track 30, 100 and 300 stores respectively, with 10,000, 100,000 and 500,000 credits a month. (as of 31 July 2026, from PPSPY's pricing page)
- A trial is available by registering an email address, with no card required. (as of 31 July 2026, from PPSPY's pricing page)
- PPSPY says its "proprietary AI powered algorithm predicts order data", and offers 15-day sales reports on a competitor. (as of 31 July 2026, from PPSPY's home page)
Dropship.io
What Dropship.io says about itself, and when we read it
A research suite covering products, stores, ads and creators, sold on breadth rather than on one number. Dropship.io
- Dropship.io describes itself as a research tool suite to "find and monitor stores to gain insights into their revenue, sales, products, ads, apps and more". (as of 31 July 2026, from Dropship.io's pricing page)
- Its plans, on annual billing, are Basic at $26/month ($312/year), Standard at $34/month ($408/year) and Premium at $49/month ($588/year). Monthly billing costs more. (as of 31 July 2026, from Dropship.io's pricing page)
- Those plans track 10, 25 and 50 shops and 25, 50 and 100 products respectively, alongside separate credit pools for its product, shop, ad, advertiser and creator libraries. (as of 31 July 2026, from Dropship.io's pricing page)
How to actually choose between them
Compare the tracking limits, not the plan names
Both price on how many stores and products you can keep under observation, and both use different words for it. The number that matters is how many competitors you actually intend to watch. Below a dozen, the entry tiers of either are more than enough and the decision is about the rest of the product. Above fifty, the comparison narrows quickly and PPSPY's upper tiers are the ones still in it.
Work out what you are paying per surface
Dropship.io meters product research, shop research, ad research, advertiser research and creator research as separate pools, which is generous if you use several and wasteful if you use one. PPSPY meters one credit pool against everything, which is simpler to reason about and easier to exhaust in a single afternoon of heavy searching. Neither design is better; they suit different weeks.
Read what each says about where its numbers come from
PPSPY describes an algorithm that predicts order data. Dropship.io describes monitoring stores for insight into their revenue and sales. Both are inference from public signals, which is the only thing any outside observer can do — including us. The question is not whether a tool infers; it is whether it tells you how uncertain the inference is. On the pages we read, neither does.
Where StoreLens fits, and where it does not
We are the third option, and an incomplete one. Here is the same capability table this whole site is built from, which is generated from the ledger the codebase tracks its own progress in:
| Capability | Status | Detail |
|---|---|---|
| See which Shopify theme a storefront is running. | Available now | Free, no account, and the answer says when it was read rather than pretending a cached result is a fresh one. |
| See a store's published catalog — its products, variants and prices. | Available now | Read from the same document the poll already fetches, so it costs no extra request. A price carries the currency the storefront declared, or honestly none. |
| We are collecting an append-only inventory history for every tracked store, and nothing reads it back yet. | Being built — not readable yet | The collector is running and the time-series is growing right now. Nothing reads it back yet — that is what the estimate is waiting on, and it is why the clock had to start before the feature did. |
| We will show an estimated monthly revenue figure for a store, with a confidence band once it is built. | Not built yet | Not built. Inventory history cannot be backfilled, so the honest answer until there is enough of it is that we are still gathering data — not a number with no evidence behind it. |
| We will show a store's best sellers ranked by estimated velocity once it is built. | Not built yet | Downstream of the estimate: ranking products by how fast they sell needs the diff engine that has not been built. |
So: if the reason you are comparing PPSPY and Dropship.io is that you need a revenue figure this week, buy one of them. StoreLens does not have that figure and will not pretend to — below the point where there is enough history behind it, the honest answer is that we are still gathering data, and that is the answer this site gives.
What StoreLens has that neither of these describes is the boring half: an append-only record of what each tracked store actually had in stock, read on a cadence and never rewritten. Inventory history cannot be backfilled — an hour not collected is an hour permanently missing — so the only way to have it later is to be collecting it now. That is why the free tools exist before the paid field does, and it is why this page is honest about the gap rather than papering over it.
What you can use today, free
- Shopify Theme Detector — any store's theme, with the time the answer was read. No account.
- StoreLens as a ShopHunter alternative — the same comparison against a tool sold purely on sales tracking.
- What StoreLens can tell you — the capability table, kept current with the codebase.
Questions
Which is cheaper, PPSPY or Dropship.io?
On the figures dated on this page, Dropship.io's annual-billing plans start well below PPSPY's monthly entry plan, and its top tier is below PPSPY's middle one. The comparison is not quite like for like: Dropship.io's headline numbers are annual billing, and the two count usage differently — Dropship.io meters several separate credit pools where PPSPY meters one. Check both pages before you buy; they are linked here for that reason.
Which one tracks more stores?
Per euro, Dropship.io on the tiers dated here — 50 tracked shops on its top plan against 30 on PPSPY's entry plan — but PPSPY's higher tiers go further in absolute terms, to 300. If tracked-store count is the thing you are buying, that is the number to compare directly, and it is the one both of them publish.
Are their revenue estimates accurate?
Neither publishes an accuracy figure or a confidence range on the pages we read, and PPSPY describes its numbers as predicted by an algorithm rather than measured. That is not an accusation — estimating a private company's sales from public signals is genuinely hard — but it does mean the honest way to read either number is as an order of magnitude, not a figure to put in a spreadsheet.
Where does StoreLens fit?
Today, narrowly and for free: it tells you the theme a storefront runs and reads its published catalog, with no account. It does not produce a revenue estimate, and this page is not going to pretend otherwise while comparing two tools that do. What StoreLens is doing instead is recording inventory over time, because that history is the only thing that cannot be bought or backfilled later.
Why should I trust the numbers on this page?
Because each one says where it came from and when it was read, and the links are right there. Our build fails if any fact here ages past six months without somebody re-reading it. That is a deliberately annoying rule: the alternative is a stale price sitting on a comparison page for a year, which is how a page like this quietly stops being worth reading.