Shopify market intelligence you can cite and act on
Decision-focused research for app developers, ecommerce agencies, and software teams selling into Shopify. Every number below is bound to a public StoreRadar snapshot; market context never replaces first-party evidence.
Choose by the job
| Research job | Start here | What you get |
|---|---|---|
| Find Shopify stores by technology | Store intelligence guide | A job-led route from technology evidence to a matched-sample test. |
| Choose a Shopify store-data output | Store database guide | Compare an app cohort, stack dataset, and matched sample by the job you need to complete. |
| Compare Shopify technology stacks | Dataset catalog | Versioned comparison tables with visible StoreRadar counts. |
| Find stores using a technology | App intelligence | App-specific aggregate cohorts with available breakdowns. |
| Read market context paired with data | Field notes | Open the app directory and follow any currently published field note; research context stays separate from first-party StoreRadar facts. |
| Test a matched commercial cohort | Live sample | A small public preview before a larger matched request. |
Current first-party evidence
Use the observation date and canonical URL when citing a page. A page outside the active sitemap is not a current source.
How this research is maintained
- Topics can be suggested by search demand, Google Trends, Gemini grounding, or X language, but those signals cannot create a StoreRadar fact.
- Public tables use only versioned StoreRadar snapshot fields and expose the observation date.
- Thin, tied, stale, or ungrounded candidates fail closed and are omitted from the sitemap.
- Publication is bounded by the fixed Node 2 quota; the system cannot raise its own weekly limit.
Frequently asked
What does StoreRadar measure?
Aggregate public Shopify storefront technology signatures from versioned snapshots.
Do counts prove buying intent?
No. They identify a useful cohort signal, not a vendor account, subscription, spend, performance, or contact identity.
What should a buyer do next?
Choose a narrow cohort, request a matched sample, and compare qualified response or paid outcomes before expanding.
Turn a cohort into a test
Skip a generic database export. Start with a small matched sample tied to the technology signal and the job you sell.
View the live StoreRadar sample →