Common detectable Shopify app examples include Judge.me, Klaviyo, Rebuy, Recharge and storefront analytics such as Google Tag Manager. They are detectable only when a store's public HTML contains a signature currently mapped in Detectify.
Examples from the current signature dataset
These are real entries in Detectify's published dataset, not a claim that every installation will be visible. The pattern type explains why the tool may be identifiable from storefront HTML.
| Tool | Category | Example public pattern | Why it can appear |
|---|---|---|---|
| Judge.me | Reviews | judge.me |
Review widgets and vendor-hosted assets. |
| Klaviyo | Email and SMS | klaviyo.js |
Onsite forms and marketing scripts. |
| Rebuy | Personalization | rebuyengine.com |
Vendor assets used by upsell experiences. |
| Recharge | Subscriptions | recharge |
Subscription widgets or storefront references. |
| Google Tag Manager | Analytics | googletagmanager |
Public browser-side container scripts. |
| PayPal | Payment method | paypal |
Wallet buttons and payment references. |
Review and UGC apps
Review widgets, star ratings, photo reviews and testimonial blocks often inject scripts, markup containers and third-party asset URLs. This makes them one of the easiest app families to detect on a storefront. Judge.me, Fera, Loox, Yotpo and Okendo are examples represented in the current dataset. Compare their merchant use cases in the Shopify review app ranking.
Upsell, popup and conversion apps
Upsell drawers, urgency widgets, announcement bars and email capture popups typically expose frontend code. These apps often render visible DOM elements or load assets from identifiable vendor domains. Rebuy, PickyStory and ReConvert illustrate three different signals: personalization assets, bundle widgets and post-purchase or conversion references.
Analytics and tracking tools
Analytics layers are among the most consistently detectable technologies because they rely on public script loading, tracking pixels and browser-side events. Google Tag Manager, Google Analytics, Hotjar and Meta-related scripts are grouped as analytics rather than merchant apps in Detectify results.
Payment methods and wallets
Wallet buttons and checkout-related payment integrations may surface public scripts or storefront elements that a detector can group separately from general merchant apps. PayPal, Apple Pay, Google Pay and Klarna are examples, although availability can depend on market, browser, currency and checkout context.
Why one app can have several possible clues
An app implementation can change over time. One version may load a vendor domain, another may use an app block, and a customized store may proxy or inline the same code. Detectify currently publishes one stored text pattern per signature row and collapses duplicate app names in the results interface.
The dataset contains 350 signature rows mapped to 349 named tools and 348 unique case-insensitive patterns. Those three figures are different because one app can have more than one stored signature and two categories can intentionally share a text pattern.
What is harder to detect
Apps focused on order routing, admin workflow automation, supplier sync or back-office tasks may never touch the public storefront. Those apps are functionally important but often invisible to any public detector. Read the full detection-limit guide before interpreting a no-match result.
Test common app patterns live
Run the Shopify App Detector on a live store to see whether review apps, popups, analytics tools or payment methods leave visible evidence. You can also inspect or download the dataset used for matching.
Related guides
Key takeaway
Detectable apps are usually the ones that touch the customer experience directly on the storefront.