What Apps Do Top Shopify Stores Use?

Dated StoreInspect research on visible apps at higher-traffic Shopify stores, with limits and a practical way to build your shortlist.

Anders Myrmel
Anders Myrmel
Updated October 10, 20265 min read

What apps do top Shopify stores use

TL;DR: In StoreInspect's April 30, 2026 research, a selected cohort of 176,305 stores with estimated traffic of 50K+ and an advertising-related signal had 86,142 visible review-app detections and 17,935 email-app detections. Those are observations of supported storefront signatures, not a ranking of profitable stores or proof that these apps cause growth. Use the comparisons to identify workflows worth investigating.

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What “Top Stores” Means Here

This guide examines higher estimated traffic, rather than verified revenue or merchant success. An app that appears on a busy store may solve a specific operational problem; copying its stack does not establish that your store needs the same tool.

The comparisons below come from the retained April 30, 2026 CRO agency lead study. Its inclusion rules matter when comparing these figures with another study.

The extraction selected the latest available snapshot for each store with a recorded traffic tier. Of 560,928 eligible records, 202,409 were in estimated 50K+ monthly-traffic tiers; 176,305 also had a recorded Meta ad count above zero or a Meta/Facebook, Google Ads, TikTok or Pinterest pixel signature. This last condition includes tracking infrastructure and does not prove currently active campaigns or spend.

App categories were counted once per store when at least one snapshot app had the matching category. Named app rows preserve the detector's stored labels. Snapshot ages were not capped, and the sample reflects StoreInspect's coverage rather than a representative sample of every Shopify store. The figures are historical and do not update when an individual store profile changes.

Which Workflows Appeared Most Often?

Every percentage in this table uses the same 176,305-store denominator. Categories overlap: a store can appear in several rows.

Visible categoryStoresShare of selected cohort
Reviews86,14248.9%
Support46,30226.3%
Upsell27,37415.5%
Loyalty24,10113.7%
Popup21,55912.2%
Page builder21,12312.0%
Analytics app19,52911.1%
Email marketing17,93510.2%
Subscription8,5004.8%
Personalization6,7083.8%
Search2,9561.7%

Reviews were the most frequent of these category detections. That gives you a useful starting point for studying how stores display customer evidence. It does not show the conversion effect of installing a review app.

The email row is especially easy to misread. A merchant can use Shopify's native tools, an external platform without a supported visible signature, or a script that appears only after consent or interaction. The remaining 89.8% cannot be described as stores with no email marketing.

The analytics-app row also excludes the separate pixel inventory. A missing analytics-app signature does not mean that the merchant has no analytics. See how to detect tracking pixels for the distinction between a library, an event request and a functioning measurement setup.

Visible App Examples

These are selected raw-name rows from the same April extraction. They identify options to research, not canonical vendor market shares: differently named signatures can refer to the same provider, and the retained aggregate does not let us deduplicate every alias.

Stored app labelCategoryStores with that label
Judge.me ReviewsReviews48,686
PageFlyPage builder14,351
KlaviyoEmail marketing14,020
Loox ReviewsReviews12,082
Yotpo ReviewsReviews10,010
Gorgias ChatSupport7,439
BOGOSUpsell7,096
PrivyPopup6,858
Triple WhaleAnalytics6,607
Frequently Bought TogetherUpsell4,946
RebuyUpsell4,699

For a review shortlist, compare review apps on moderation, migration, media and display needs. For email, compare email marketing apps on the workflows and audience size you actually have. For upsells, examine placement and checkout constraints before choosing from a detection list.

The study does not establish the subscription plan, paid status or feature usage of a detected app. A free plan, unused installation or residual script can look similar in public source.

Traffic Tiers Do Not Produce One Universal Stack

The selected cohort contains 165,909 stores in the 50K–200K tier, 10,338 in 200K–1M and only 58 above 1M. These counts add to 176,305.

Estimated monthly trafficStoresEmail detectionReview detectionUpsell detection
50K–200K165,90917,151 (10.3%)79,674 (48.0%)24,602 (14.8%)
200K–1M10,338766 (7.4%)6,437 (62.3%)2,760 (26.7%)
1M+5818 (31.0%)31 (53.4%)12 (20.7%)

The tiny 1M+ sample is not a benchmark for all million-visitor stores. The non-monotonic email and review percentages also show why “bigger stores always use more of this category” is too strong. Traffic tiers are estimates, and this is a cross-sectional comparison rather than a record of stores growing over time.

Study Combinations as Workflows

The April study found 8,448 stores with an email-app signature and a review-app signature but no detected upsell-category app inside the 176,305-store cohort. Of those, 5,027 had at least one contact with a stored verified-email status, while only 756 had a contact satisfying the study's broad outreach-role predicate and verified status.

That combination supports a focused investigation: how does the store use customer evidence, email and product recommendations together? It does not establish a missing upsell capability, a “seven-figure stack,” or a ready buyer. Native discounts, bundles, theme recommendations and backend tools may already cover the workflow.

Similarly, 16,488 stores had an email-app signature without a popup-category signature. Before treating one as a capture opportunity, look for inline signup, checkout consent, account registration and other capture routes. A popup is one implementation choice.

Build Your Own Shortlist

  1. Pick the problem: collecting reviews, handling support, replenishment, subscription billing or product discovery. Write down the workflow you need before looking at another store's apps.
  2. Find a comparable store by product model and operational complexity. Estimated traffic helps organize the research; it does not reveal its profit or software budget.
  3. Inspect the homepage and a product page. Record the URL, date, consent state and relevant interaction. Check visible behavior against source and network requests with the free extension or manual inspection methods.
  4. Verify the provider and current capabilities in its official documentation. Check your Shopify plan and native alternatives before adding another subscription.
  5. Test the workflow on your own store with a defined outcome and a comparison period. Evaluate performance, accessibility, consent behavior and operational cost alongside conversion.

FAQ

Should I install the most frequently detected apps?

Frequency helps find familiar options. It does not establish fit. A subscription business, a low-repeat-purchase catalog and a wholesale store have different needs even at similar traffic levels.

Can public inspection show every installed app?

No. Supported storefront signatures reveal only part of the stack. Backend apps, custom code, consent-blocked scripts and checkout features may be invisible. Residual scripts can also remain after uninstalling an app.

Does a Meta or TikTok pixel prove the store advertises there?

No. Check the platform's official ad library for dated evidence of an active campaign. A pixel can remain present while campaigns are paused, and active advertising can rely on tracking that your inspection cannot see.

How current are these figures?

They were extracted on April 30, 2026 from the latest snapshots then available, without a uniform snapshot-age cutoff. They are historical observations. Recheck the individual store before using its stack in a comparison or prospecting message.

For broader dated research, see the State of Shopify report. For a repeatable account-research process, use the Shopify store audit guide.

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