# BIPEYE AI Analytics & Reports — Shopify app

Public app leaf generated from the same detail API as the HTML page (so slugs that 404'd on the old MD proxy still work). Prefer hub lists first: https://ecomscout.com/apps.md

- HTML: https://ecomscout.com/apps/bipeye-orders-analytics
- Markdown: https://ecomscout.com/apps/bipeye-orders-analytics.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

Analyze returns, return reasons, discounts, collections, tags, channels, and customer behavior. Drill down into your data and uncover growth opportunities.

## Snapshot

| Field | Value |
| --- | --- |
| Name | BIPEYE AI Analytics & Reports |
| Slug | bipeye-orders-analytics |
| Developer | BIPEYE LTD |
| Popularity (0–100) | 54 |
| Best category rank | 158 |
| Rating | 5.00 |
| Reviews | 3 |
| Detected installs | — |
| Pricing type | free_trial |
| Starting price | $49 |
| Free plan / trial | no / yes |
| Categories | Sales channels, Finding products, Selling products, Orders and shipping, Store design, Marketing and conversion, Store management, Analytics, AI insights, Profit insights, Purchase tracking, Funnel analysis, Heatmaps, Analytics dashboard, Custom dashboards, Benchmarking, Custom reports, Data export, Historical analysis, Dropshipping, Marketplaces, Product reviews, Upsell and bundles, Email marketing, SEO, Shipping, Currency and translation |
| App Store | https://apps.shopify.com/bipeye-orders-analytics |

## Category ranks

| Category | Rank | Hub MD |
| --- | --- | --- |
| store-management-operations-analytics | 158 | https://ecomscout.com/apps/category/store-management-operations-analytics.md |

## Features

- Stop guessing. Understand what's really happening in your store
- Find high-return products before they become a problem
- Discover hidden opportunities across products, returns & discounts

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- [Loox ‑ Product Reviews App](https://ecomscout.com/apps/loox.md)
- [CWILL Order Tracking](https://ecomscout.com/apps/parcelpanel.md)
- [Searchanise Search & Filter](https://ecomscout.com/apps/searchanise.md)
- [Privy ‑ Email, SMS & Pop Ups](https://ecomscout.com/apps/privy.md)

## 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.