Find Shopify stores that fit the offer you sell
StoreRadar.co is built for app developers, ecommerce agencies, and SaaS teams selling into ecommerce. It starts with a live storefront cohort, then keeps store matching, email validation, and named-person verification as separate evidence stages.
What the workflow returns
| Stage | What is evaluated | Possible output | Evidence status |
|---|---|---|---|
| 1. Match the store | Offer and ICP against storefront, catalogue, technology, vertical, language, price, and growth signals | A matched Shopify store row or cohort | Matched-store evidence |
| 2. Validate the mailbox | Eligible matched rows through business-email validation | A validated business email when the check passes | Separate email evidence |
| 3. Verify the person | A named decision-maker and a mailbox that passes the person-level gate | Name, title, verified work email, and profile evidence when available | Conditional person-level evidence |
What public research proves—and what it does not
| Public signal | Useful for | Do not infer |
|---|---|---|
| App cohort count | Estimating the size of an observed storefront technology signal | A vendor account, subscription, buying intent, or contact identity |
| Stack comparison table | Choosing a narrower prospecting or research hypothesis | A relationship between named vendors or a buyer's intent |
| Matched sample workflow | Testing whether an offer fits a concrete Shopify cohort | That every row has a validated email or named decision-maker |
Public aggregate pages never expose individual contact records. Their numbers remain tied to the displayed StoreRadar snapshot and observation date.
Who uses it
Shopify app teams
Find storefronts already showing the technology or merchandising context that makes an app-growth offer specific.
Ecommerce agencies
Build a focused outbound cohort instead of starting with a generic Shopify list.
SaaS teams entering ecommerce
Test a defined merchant segment and learn from qualified response before expanding the market.
How to run a useful test
- Describe the offer, target buyer, and disqualifiers.
- Choose the StoreRadar technology, vertical, catalogue, language, price, or growth signals that make the cohort relevant.
- Start with a small matched sample and keep the offer and CTA constant.
- Measure qualified response or paid outcomes before requesting more volume.
Common questions
Is StoreRadar just an app directory?
No. The public directory is the research layer. The commercial workflow matches live Shopify stores to a buyer's offer and ICP, then conditionally adds validated contact evidence.
Does every match contain a decision-maker?
No. A named decision-maker is returned only where the person-level evidence and mailbox verification gates pass.
What should I cite?
Cite the exact canonical storeradar.co page and its observation date. Do not turn an aggregate detection count into a contact, customer, or intent claim.
Run the first matched test
Skip manual prospecting. Start with a matched Shopify sample tied to the offer you want to validate.
View the matched StoreRadar sample →