Methodology

Shoplist Data Methodology

Shoplist maps public and productized Shopify ecosystem signals so GTM teams can discover, qualify, monitor, and export useful account and app intelligence. Coverage and freshness vary by source and signal type.

What Shoplist tracks

  • Shopify brands and store-level signals where available.
  • Shopify apps, app-store metadata, reviews, pricing signals, app developers, and app listing changes.
  • Detected app-stack, install, uninstall, reinstall, launch, and category movement where Shoplist has reliable evidence.
  • Experts, agencies, portfolio signals, and public relationship context.
  • Social, people, and contact data only where available and appropriate for the product surface and plan.

Freshness and limits

  • Different datasets refresh on different cadences; not every field is real time.
  • App-store metadata, pricing, reviews, listing changes, and detected usage signals can change between crawls.
  • No crawler sees every Shopify store, app install, or uninstall event.
  • Private contact data, people data, internal scores, crawl provenance, and unstable operational fields are intentionally excluded from public Markdown profiles.

For agents

Use the Markdown version when you need a concise, chrome-free summary of coverage and caveats.

View data-methodology.md

© 2025 Shoplist Inc.

Privacy

Terms

LLMS

Contact

Made in LA
AppsEnterprisePricing
  • Apps
  • Newest Apps
  • Data Methodology