Data-driven ecommerce intelligence — helping entrepreneurs, researchers, and investors understand the Shopify ecosystem.
EcomScout was built to make ecommerce data accessible to everyone. Whether you're launching your first online store, scouting competitors, or researching the Shopify market at scale, our platform gives you the analytics, benchmarks, and tools you need — all in one place.
We analyse tens of thousands of Shopify stores, track app adoption across the ecosystem, and surface trending products from both Shopify and Amazon — so you can make decisions backed by real data instead of guesswork.
Browse and analyse 50,000+ Shopify stores ranked by our proprietary EcomScout Rating. Filter by vertical, industry, country, and more.
Discover the most popular Shopify apps ranked by ratings, reviews, category performance, and real install adoption data.
Track trending products across Shopify and Amazon with real-time signals including best-seller exposure, price movements, and growth rates.
Free browser extension that reveals traffic estimates, revenue ranges, tech stack, and competitive insights on any Shopify store you visit.
In-depth analytics reports covering the Shopify market, country-level ecommerce breakdowns, and industry investigations.
AI-powered, personalised business plans to help new entrepreneurs launch a profitable ecommerce store step by step.
Transparency is core to what we do. Below is a detailed breakdown of how we score and rank stores, apps, and trending products. All scores are computed from publicly available data combined with our proprietary models.
Every store in our directory receives a composite score from 0 to 100 based on five weighted dimensions. The score determines a letter grade from S (top tier) to F.
| Dimension | Weight | What It Measures |
|---|---|---|
| Revenue Performance | 40% | Estimated monthly revenue, revenue growth, average order value, and performance relative to vertical benchmarks |
| Traffic & Growth | 23% | Yearly visit volume, traffic growth rate, and estimated conversion rate |
| Customer Trust | 15% | Trustpilot rating and review volume — reflects real customer sentiment |
| Marketing Efficiency | 12% | Ad spend, SEO keyword rankings, organic vs paid traffic balance, and ROI indicators (powered by SpyFu data) |
| Business Quality | 10% | Business model assessment (e.g. brand vs dropshipping), category positioning, and operational indicators |
A sixth dimension — Product Catalog Quality (catalog size, pricing, and product completeness) — is displayed in individual store breakdowns for informational purposes but is not factored into the headline score.
Grades are assigned using fixed score thresholds calibrated against the full distribution of stores in our database:
Store scores are built from a combination of traffic and revenue estimates (from proprietary models and third-party data providers), Trustpilot public reviews, SpyFu marketing data, and product catalog analysis from each store's publicly accessible pages.
Every Shopify app in our leaderboard receives a popularity score computed from five signals:
| Signal | Max Points | How It's Calculated |
|---|---|---|
| Category Rank | 27 | Percentile position within the app's Shopify category — higher rank = more points |
| Install Adoption | 25 | Detected installs across our store corpus (logarithmic scale) — measures real-world usage, not Shopify's public counts |
| User Rating | 22 | Average star rating on the Shopify App Store (out of 5), scaled to points |
| Badges & Recognition | 15 | Built for Shopify (6 pts), Featured (4 pts), Editor's Choice (3 pts), Staff Pick (2 pts) |
| Review Volume | 11 | Total number of reviews (logarithmic scale) — more reviews = more confidence |
Install counts are derived from our own store corpus — we detect which apps each store in our database is running and aggregate those counts per app. This gives a ground-truth adoption metric independent of what's publicly reported.
We track trending products from two separate ecosystems, each with its own scoring model:
Powered by our ClickHouse analytics pipeline, we monitor product-level signals across the stores in our database, aggregated twice daily:
These signals are combined with position multipliers (products in top-5 positions score higher) and growth bonuses (week-over-week improvement) to produce a final trend score.
Amazon trending data is sourced from Amazon Movers & Shakers and Google Trends via SerpAPI. The trend score weighs:
EcomScout combines multiple data sources to provide comprehensive ecommerce intelligence:
If you are a store owner and would like your store removed from our directory, please contact us at [email protected]. We honour all removal requests promptly — your store will be delisted from public listings, removed from search results, and blocked from API access. See our Terms and Conditions for details.
Have a question, partnership idea, or data request? We'd love to hear from you.