Segment runs on 2.1% of the 3,500,000+ Shopify stores across our full detection dataset. For how its share is moving right now, see app trends.
#38 most-used app in our datasetSegment is a Shopify app used by 2.1% of the Shopify stores in our dataset, ranking #38 among all apps we track. The figure reflects the app detected on live storefronts, not App Store install counts.
Segment has slipped from 2.9% to 0.9% of the stores scanned each month over recent months. See all Shopify trends →
Segment is a customer data platform, not a storefront widget. It collects events from your Shopify store, page views, product views, add-to-cart clicks, checkouts and orders, then forwards that data to the other tools you already run. Think of it as the wiring between your store and your analytics, ads, email, and reporting stack. It suits teams that want one clean source of customer data instead of a separate pixel for every tool.
The app installs a tracking layer on your storefront and maps each action to a standard event. From there you route those events to destinations like Google Analytics, your ad platforms, a data warehouse, or your email tool, without adding a new script for each one. That routing is the point. It cuts duplicate pixels, keeps event names consistent across tools, and gives your data or growth team one place to manage what gets tracked and where it goes. In our data, stores running Segment tend to carry larger catalogs and heavier app stacks than average, which fits its role as plumbing for a bigger operation. Setup leans technical, so it favors stores with a developer or agency on hand more than a solo owner.
Where it fits. Segment earns its place when several tools all need the same customer data. One integration feeds them all, and event tracking stays consistent so your reports and audiences line up across platforms.
The trade-off. This is infrastructure, not a quick win. It does not send an email or show a popup on its own. The value only shows up once you connect destinations and tidy your event plan, so expect real setup work.
Who it's for. Growth and data teams at mid-size and larger stores, usually with a developer or agency. Stores piping data into a warehouse or running paid ads heavily get the most from it. A store with two or three apps rarely needs this layer.
Before you commit. Pricing scales with how much data you send, so costs can climb as traffic grows. Map your destinations and event volume first. Also check the current listing and support status on the App Store before installing, since availability has changed.
| # | App | % of stores | Usage |
|---|---|---|---|
| 1 |
Klaviyo
Email Marketing |
57.5% | |
| 2 |
Judge.me Product Reviews App
Product reviews |
39.5% | |
| 3 |
Loox ‑ Product Reviews App
Product reviews |
29.7% | |
| 4 |
Recharge
Subscriptions |
26.8% | |
| 5 |
Yotpo
Product reviews |
24.7% | |
| 6 |
Countdown Timer
Countdown timer |
19.1% | |
| 7 |
Gorgias
Support - Other |
18.9% | |
| 8 |
Rebuy Personalization Engine
Checkout - Other |
16.1% | |
| 9 |
PageFly ✦ Landing Page Builder
Page builder |
15% | |
| 10 |
Triplewhale
Analytics |
14.5% |
| # | Theme | % of stores | Usage |
|---|---|---|---|
| 1 | Dawn |
14.9% | |
| 2 | Prestige |
5.3% | |
| 3 | Impulse |
3.8% | |
| 4 | Impact |
3.5% | |
| 5 | Horizon |
2.8% | |
| 6 | Symmetry |
2.5% | |
| 7 | Focal |
2.5% | |
| 8 | Ella |
1.9% | |
| 9 | Warehouse |
1.7% | |
| 10 | Minimog OS 2.0 |
1.7% |
Store owners can request removal of their domain from example listings.
This figure comes from live detection: we scan Shopify storefronts and read the apps each one runs, then express it as a share of the 3,500,000+ stores in our dataset. It is a share of every store in our dataset, not just recently scanned stores, so it moves more slowly than the month-over-month figures on our trends page. We report what is currently detected, not historical installs or Theme Store / App Store counts.
Independent by design: rankings are determined solely by live detection data. Affiliate relationships never affect what ranks or how stores are counted. Read the full methodology →