LEITE‑STORE‑EVENT‑COLLECTOR vs Snowplow Event Tracker
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Nov 14, 2026 for LEITE‑STORE‑EVENT‑COLLECTOR, Feb 19, 2026 for Snowplow Event Tracker.
The short answer
- Snowplow Event Tracker lists 13 features LEITE‑STORE‑EVENT‑COLLECTOR’s listing doesn’t mention, including Abandoned cart, Checkout analytics, Custom dashboards.
Head to head
Track the complete customer journey events with Snowplow.
- China
- Hong Kong
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every feature此应用帮助商家了解访客如何与店铺互动。应用采集页面浏览、商品浏览、加入购物车和结账等事件，并在嵌入式应用中展示连接状态、客户动态和事件记录。商家可以在客户动态中按客户标识或邮箱查找活动，在事件记录中按时间和事件类型筛选记录，用于验证数据采集并排查店铺行为。
This application enables collecting event-level data from your Shopify store with a Snowplow data pipeline, both on the storefront (client-side) and via webhooks (server-side), providing you with highly accurate and granular data.
- 采集页面浏览、商品浏览、加入购物车和结账事件
- 在嵌入式应用中查看最近客户活动
- 查看店铺连接与事件采集状态
- 按时间和事件类型筛选事件记录
- Track storefront and webhook orders, carts and checkouts
- Configure Snowplow JS tracker options
- Configure orders, carts and checkout webhooks with 1-click
All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure |  Snowplow Event Tracker | |
|---|---|---|
| Detected stores | 7 | Not published |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Apparel & Accessories, Electronics, Health & Beauty | Not published |
| Top store countries | China, Hong Kong | Not published |
Reviews
| Measure | Snowplow Event Tracker | |
|---|---|---|
| App Store rating | Not published | 5.0 ★ |
| App Store reviews | Not published | 3 |
| New reviews, 28 days | Not enough data | 0 |
| Reviewers a year or more in | Not enough data | Not enough data |
Pricing
| Measure | Snowplow Event Tracker | |
|---|---|---|
| Free plan | Not listed | Not listed |
| Lowest paid monthly plan | No monthly plan listed | No monthly plan listed |
| Longest free trial | Not listed | Not listed |
| Plans listed | Not published | Not published |
Listing
| Measure | Snowplow Event Tracker | |
|---|---|---|
| Shopify category rank | Not enough data | #452 |
| Shopify App Charts | Not on this week’s charts | Not on this week’s charts |
| Built for Shopify | No | No |
| Launched | Sep 29, 2026 | Dec 11, 2020 |
| Languages | 1 | 1 |
| Developer | 衡阳瑞来网络科技有限公司 | SnowcatCloud Inc. |
FAQ
LEITE‑STORE‑EVENT‑COLLECTOR and Snowplow Event Tracker: common questions
- What features does each app list that the other doesn’t?
- LEITE‑STORE‑EVENT‑COLLECTOR lists 2 the others don’t mention, such as Analytics dashboard, Event tracking. Snowplow Event Tracker lists 13 the others don’t mention, such as Abandoned cart, Checkout analytics, Custom dashboards, Custom reports. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Nov 14, 2026 for LEITE‑STORE‑EVENT‑COLLECTOR, Feb 19, 2026 for Snowplow Event Tracker; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Nov 14, 2026 for LEITE‑STORE‑EVENT‑COLLECTOR, Feb 19, 2026 for Snowplow Event Tracker. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.