Store Leads alternative for Shopify app and agency prospecting
If you are comparing Shopify store-data providers, the useful question is what you can do with the output next. StoreRadar starts with observable storefront evidence, narrows it to the offer and ICP you actually sell, and keeps contact verification as a separate evidence step.
Where StoreRadar fits
| Job | StoreRadar output | Why it matters |
|---|---|---|
| Find stores using a specific technology | App cohort pages with visible counts and observation dates | Turn a broad market into a technology-led starting cell |
| Compare a workflow or stack | First-party datasets with comparison tables | Choose the signal most relevant to the offer you sell |
| Test a prospecting hypothesis | Matched Shopify sample | Measure qualified response before committing to volume |
| Reach a buyer at a matched store | Conditional business-email and named-person verification | Use contact evidence only where the checks actually pass |
What is different about the workflow?
| Question | StoreRadar answer | Evidence boundary |
|---|---|---|
| Can I target a Shopify technology? | Yes. Start from the public app cohort and its visible snapshot. | A detection is a storefront signal, not proof of an account or purchase. |
| Can I compare adjacent technologies? | Yes. Use a current stack dataset and its comparison table. | Co-occurrence is an observed signal, not a vendor relationship. |
| Can I match a list to my offer? | Yes. The paid workflow applies your offer, ICP and disqualifiers. | Matched-store evidence stays separate from contact evidence. |
| Does every row contain a decision-maker? | No. A named person and verified work email are conditional outputs. | Unsupported person or email fields remain blank. |
Current first-party Shopify cohorts
Latest active app evidence: snapshot storeradar-app-s, observed through 2026-09-17T08:42:42+00:00. These are aggregate public-storefront observations from the active StoreRadar snapshot.
| Technology cohort | Observed storefronts | Observed |
|---|---|---|
| HelpScout | 265,402 | 2026-09-17 |
| Judge.me | 76,617 | 2026-09-17 |
| Klaviyo | 52,293 | 2026-09-17 |
| Loox | 12,430 | 2026-09-17 |
| Okendo | 29,176 | 2026-09-17 |
| PageFly | 12,500 | 2026-09-17 |
| Visually | 231,306 | 2026-09-17 |
Start with a small test
Skip an undifferentiated export. Preview a matched cohort first, then use the current self-serve offer if the signal fits your sales motion: €99.00 one-time for 500 credits.
Skip manual prospecting. Preview the matched Shopify sample, then test the rows and message before requesting more volume.
Preview the matched sample →Common questions
Is this an app directory?
The public directory is the evidence layer. StoreRadar's commercial workflow matches live Shopify stores to a buyer's offer and ICP, then conditionally adds validated contact evidence.
What should I cite?
Cite the exact canonical storeradar.co URL and the observation date displayed beside the table. Do not turn a detection count into a claim about customers, intent or contacts.