# EcomScout analytics platform — features

Logged-in product (https://app.ecomscout.com). Public website is the read-only hub layer. This file is the feature map: every major surface and what it measures. Scoring math lives on the about page.

- HTML: https://ecomscout.com/products/analytics-platform
- Markdown: https://ecomscout.com/products/analytics-platform.md
- About / methodology: https://ecomscout.com/about#methodology
- Methodology (md): https://ecomscout.com/about.md
- Platform features: https://ecomscout.com/products/analytics-platform.md
- Index: https://ecomscout.com/llms.txt
- Signup: https://app.ecomscout.com/sign-up
- Pricing: https://ecomscout.com/pricing.md
- Public store hub: https://ecomscout.com/stores.md
- Public app hub: https://ecomscout.com/apps.md

EcomScout scans 1M+ Shopify storefronts. Public HTML/Markdown only publish hub rankings (Top 100 stores, Top 25 per country, Top 100 apps, category page-1). The app below is the full corpus: search, Signals, ads, exports, API.

## Dashboard

### AI Daily Briefing
- Insight cards on tracked stores, products, and apps.
- Sales spikes/drops, restocks, traffic shifts, app changes, category trends.
- Copy-to-LLM export on cards.

### Market Highlights
- Country/vertical movers: store count, group visits, visit growth %, trend lag.
- Top ad spenders: estimated monthly spend and spend change % (paid-gated on Free).

### Watchlist
- Light follow, separate from Signals. Slots by plan: 3 / 15 / 50.
- Monthly visits + visit delta %.

### Store search shortcut
- Natural-language prompt → filtered `/stores` list in the app.

## Signals (competitor tracking)

### Setup
- Track a Shopify store by URL. Auto-pick bestsellers or pick SKU/variants.
- Competitor suggestions from user niche. Inventory check before create.
- Caps: tracked stores, products/store, variants/product, probes/day — by plan.

### Products and sales
- Daily inventory probes → estimated units sold, revenue, restocks per SKU/variant.
- Charts: sales over time, inventory. Predicted revenue. Industry AOV multipliers.
- Bestseller discovery. Manual probe + weekly rescrape.

### Store / app / social / ads changes
- Store snapshot diffs: revenue, visits, rating, catalog size, app stack.
- Apps installed or removed on the tracked store.
- Social: follower counts, verified-badge changes, daily social probe.
- Ads: Meta, TikTok, Google creatives — run length, format, spend signals, thumbnails.
- Ad–product correlation and an AI ad-strategy summary after the daily ads probe.

### Feed and alerts
- Kinds: sales spike/drop, restock, new bestseller, price change, traffic, app/store updates, social/ad events, weekly recap.
- Severity: info / notable / alert. Optional sales email digest per Signal.
- Slack + webhook integrations with kind + severity filters.

## Stores (in-app directory)

- Table over the full corpus: grade, predicted monthly revenue, visits, growth, product count, apps, country, vertical, industry, category.
- Filters: revenue/traffic/ad-spend/rating/Trustpilot tiers, dropship, platform, marketing channel, installed app, product category, trends.
- Group-by country / vertical / industry / category / app / channel, optional nested groupBy2.
- Trend windows (~1mo, ~2–3mo, vs early 2026, vs Nov 2024) with mean/median/max/min.
- AI store analyst (natural language, daily cap). Compare 2–8 domains. On-demand scrape when missing/stale.

### Store detail tabs
- **Overview** — rating 0–100 + letter; pillars (revenue, traffic, trust, marketing, business, product); rank vs vertical/industry; revenue band; traffic chart; Trustpilot; AOV / orders / ad intensity / CPA; owner contacts (paid).
- **Products** — SKU table, bestsellers, vendor/type mix, 30-day catalog velocity (new, rising, price moves).
- **Marketing** — traffic sources; monthly/yearly ad spend; paid keywords; SEO page-1 counts; live Meta/TikTok/Google ads.
- **Tech** — detected Shopify apps, non-Shopify stack, theme, payments, language, currency.
- **Competitors** — peer set vs median.
- **History** — snapshot timeline.
- **Signals** — embed if tracked.
- CSV + LLM markdown export (row budgets by plan). Watch without using a Signal slot.

## Products (cross-store)

- Title search across stores. Saturation verdict (Untapped → Saturated).
- Metrics: seller count, price min/median/avg/max, margin headroom, bestseller rate, dropshipper share, trend score, max seller visits.
- Product Research report: opportunity score (demand, competition, margin, price) + seller list.
- Group views: vendor, category, sub-category, industry. Presets: bestsellers, rising, new, price drops/hikes.
- Category opportunity scores. Product detail: price, vendor, type, variants, related.

## Apps (in-app)

- Catalog search: rating, reviews, popularity, pricing, category, developer.
- Group aggregations and impact presets (revenue-makers, growth-drivers, top-rated, traffic-magnets, declining).
- App detail: installs we detect, stores using the app, compare dialog, CSV/LLM export.

## Public API

REST `/v1/*` (plan key + rate limit):
- Stores: search, detail, compare, traffic, products, apps, history, changes, grouped analytics.
- Products: search, detail, changes.
- Apps: search, detail, stores-on-app.
- Changes: unified feed. Signals CRUD + probe + stats. Scrape ingest. Discovery / llms playbooks.
- Docs: https://ecomscout.com/docs and in-app `/api-docs`.

## Chrome extension

- Listing: https://ecomscout.com/tools/chrome-extension
- Clerk auth via `/extension-auth`. Powers store scrape / discovery.

## Plans (short)

Free / Starter ($49/mo) / Pro ($149/mo). Meters: searches, details, product/app views, AI lookups, scrapes, contacts, export rows, Signal slots, watchlist, API.
Details: https://ecomscout.com/pricing.md

## Public site vs app

| Surface | Public (no login) | App |
| --- | --- | --- |
| Store tops | Top 100 + country Top 25 | Full corpus + filters + compare |
| Store leaf | Rating, traffic/revenue estimates, apps, theme | Same + contacts, ads, history, Signals |
| Apps | Top 100 + 52 category page-1 | Full catalog + stores-using + export |
| Trends | Amazon + Shopify category hubs | Product search, opportunity, watch |
| Alerts | — | Signals, Slack, email, API |

## Terminology and calculations

Full write-up: https://ecomscout.com/about#methodology · https://ecomscout.com/about.md

### Store rating (0–100)

Headline score is a weighted sum. Catalog quality is shown on store pages but is **not** in the headline score.

| Dimension | Weight | What it measures |
| --- | --- | --- |
| Revenue performance | 40% | Estimated monthly revenue, growth, AOV vs vertical |
| Traffic and growth | 23% | Yearly visits, growth, estimated conversion |
| Customer trust | 15% | Trustpilot score and review volume |
| Marketing efficiency | 12% | Ad spend, SEO keywords, paid vs organic (SpyFu) |
| Business quality | 10% | Brand vs dropship, category, operations |

Letter grades (fixed thresholds): S 59+ · A+ 54–58 · A 50–53 · B+ 45–49 · B 40–44 · C+ 35–39 · C 30–34 · D 20–29 · F <20.

Revenue and traffic on public pages are **estimates**, not merchant-reported numbers.

### App popularity (0–100)

| Signal | Max | How |
| --- | --- | --- |
| Category rank | 27 | Percentile inside the Shopify App Store category |
| Install adoption | 25 | Detected installs on our store corpus (log scale) |
| User rating | 22 | Shopify App Store stars, scaled |
| Badges | 15 | Built for Shopify 6 · Featured 4 · Editor's Choice 3 · Staff Pick 2 |
| Review volume | 11 | Review count, log scale |

Install counts are **detected on live stores**, not Shopify's public install numbers.

### Trending scores

- **Shopify categories** — ClickHouse, 2× daily: best-seller exposure, rank-up, price moves, new listings, multi-store presence, plus top-5 and WoW bonuses.
- **Amazon products** — Movers & Shakers + Google Trends (SerpAPI): Trends 35% · growth 25% · Amazon rank 20% · reviews 10% · data-quality 10%.

### Data sources

Public storefronts (catalog, theme, stack) · third-party traffic/revenue models · SpyFu · Shopify App Store · Trustpilot · SerpAPI (Amazon + Google Trends) · proprietary corpus in ClickHouse.

### Freshness

Store ratings periodic · app scores each App Store scrape cycle · Shopify trends 2× daily · Amazon trends daily · country reports weekly/monthly.

### What public hubs list

Public HTML and Markdown list **only hub rankings**: Top 100 stores, Top 25 stores per country, Top 100 apps, and each app-category page-1 leaderboard. Do not crawl a factory of store/app URLs. Look up a leaf only when that domain or slug appears on a hub list.

Logged-in platform (Signals, ads, exports, API) is described at https://ecomscout.com/products/analytics-platform.md.