Shopify stores for sale, sourced from signals - not a marketplace.
If you buy e-commerce stores, the hard part isn't the auction - it's building the pipeline of targets worth a closer look. We surface stores by plan tier, age, and traffic trend so your sourcing starts from data, not a browser tab on three broker sites.
What "for sale" actually means here
Search demand for "shopify stores for sale" and "ecommerce business for sale" is large - but most of it is people who want to buy a store through a marketplace like Flippa or Empire Flippers. We don't compete with those; we sit one step earlier, in sourcing. Two distinct inputs, always labelled:
Where the deal signal comes from, and how much there is
A sourcing layer is only worth anything if you trust how it's built. So here is the honest version, with real numbers.
Two inputs, always labelled
Aggregated public broker and marketplace listings (stores already on the market), plus first-party detection of stores whose public profile (plan tier, age, traffic trend) fits an acquisition thesis even before they're listed.
What we never do
We do not publish or invent revenue or valuation figures. The catalog is .fr today with global coverage expanding, so we show the real count for the segment you pick before you commit. Financials come from the seller in diligence, not from us.
The signals you can filter on today
Honest scope: we surface public activity indicators, not audited financials. These are sourcing signals to shortlist targets - diligence still happens with the seller. The store catalog is .fr today; the infrastructure is TLD-agnostic and global English-market coverage (US/UK/CA/AU) is being expanded. We tell you exactly what a segment contains before you pay.
| Signal | What it tells a buyer | Source |
|---|---|---|
| Plan tier (Plus markers) | Bigger, more mature operation worth a higher ticket. | Public store markers |
| Store age | Track record vs early flip risk. | First-seen + registry |
| Traffic trend | Momentum or decline before you reach out. | Activity indicators |
| App stack | Operational maturity (reviews, subscriptions, email). | Fingerprint, where detected |
| Listing status | Already on the market vs cold outreach target. | Aggregated listings |
We do not publish or invent revenue figures. Where a number isn't something we can verify from public signals, it isn't in the record.
Build a sourcing pipeline, not a tab graveyard
A typical deal-sourcing workflow on the data:
- Filter the base to your thesis (e.g. Plus, >3 yrs old, rising traffic, a target niche).
- Export the shortlist to CSV or pull it via API into your deal CRM.
- Cross-reference against aggregated listings to see who is already on the market.
- Run outreach to the rest - the off-market targets are where the edge is.
For ongoing flow, the Scale plan adds API access so this runs on a schedule; a one-off thesis can start from a CSV export. High-volume or custom filters → Enterprise.
Questions, answered straight
Is this a marketplace where I can buy a store?
No. We are not a brokerage or escrow. We are a data layer that helps you build a pipeline of stores worth contacting or watching, using public store signals. The transaction happens through brokers, marketplaces, or direct outreach.
Where does the for-sale signal come from?
Two sources: public marketplace and broker listings aggregated for convenience, and first-party detection of stores whose public signals fit an acquisition thesis. We label which is which.
Can I get revenue figures?
We surface public activity indicators (traffic trend, store age, plan-tier signals), not audited financials. Financials come from the seller during diligence. We do not invent revenue numbers.
Start your deal pipeline from data
Pull a free sample, set your thesis, and see what surfaces.