StoreCensus

How Many Shopify Stores Use Cluster?

50,083 Shopify stores currently have Cluster installed, representing 2.3% of all active Shopify stores.

Last updated today (July 4, 2026)
Total Installs
50,083
Market Share
2.3%
Category
Pop-ups
90-Day Trend
+36.0%

Cluster Install Statistics

Cluster is installed on 50,083 of the 2,198,914 active Shopify stores worldwide tracked by StoreCensus. This makes it a notable player in the Pop-ups category.

Unlike the Shopify App Store's historical download counts, our data reflects current active installations. We detect Cluster through storefront signature analysis across millions of stores, providing accurate real-time adoption metrics that matter for market analysis and competitive intelligence.

Growth Trends

Over the past 30 days, Cluster has lost 716 net installs, representing a -1.4% change from 50,799 installs. The 90-day trajectory shows growth of 13,263 installs (36.0%).

Year-over-year, Cluster has grown by 236.4%, moving from 14,890 installs to 50,083. This represents exceptional growth in a competitive market.

Frequently Asked Questions

How many Shopify stores use Cluster?

As of July 4, 2026, 50,083 Shopify stores have Cluster installed, representing 2.3% of all active Shopify stores tracked by StoreCensus.

Is Cluster growing or declining?

Cluster has lost 716 net installs over the past 30 days (-1.4% change) and gained 13,263 installs over 90 days (36.0% change). Year-over-year growth is 236.4%.

What types of stores use Cluster?

Cluster is used across stores of all sizes and industries. Detailed breakdowns are available for apps with sufficient data.

How often is Cluster data updated?

StoreCensus updates Cluster installation data weekly through continuous monitoring of 2,198,914+ active Shopify stores. We detect installations through storefront signature analysis, providing accurate current install counts rather than historical download numbers.

How does Cluster compare to competitors?

Cluster holds a 2.3% market share in its category. To see how it compares to direct competitors, check the Market Position section on this page which shows install counts and market share for similar apps in the same category.

Should I install Cluster for my Shopify store?

With 50,083 active installations, Cluster is a popular solution. Consider the 90-day growth trend (36.0%) to understand momentum, and review the industry breakdown to see if stores similar to yours use it. Always test on a development store first and check recent app store reviews for current user sentiment.

50,083 Shopify stores currently use Cluster. This data is updated weekly based on continuous monitoring of 2,198,914+ active Shopify stores.

Target Stores Using Cluster

Build targeted prospect lists of stores using Cluster. Filter by revenue, industry, country, and more.

Market Intelligence

Market Position

Established Adoption
50,083
Active Installs
2.30%
Market Penetration

Cluster is installed on 50,083 of the 2,198,914 Shopify stores tracked by StoreCensus, representing a 2.30% market penetration rate. It is categorized under Pop-ups.

App Adoption

What This Means

Cluster is installed on 50,083 Shopify stores, representing 2.3% of all tracked stores. This adoption level reflects meaningful merchant validation across a competitive app marketplace.

Over the past 90 days, Cluster has gained 13,263 net installs (+36.0%). Positive 90-day momentum indicates continued merchant adoption.

Interpretations are based on observed StoreCensus data. Directional observations only - not financial or business advice.

Research Summary

Cluster: Key Findings

Based on StoreCensus tracking of 2,198,914 active Shopify stores.

Dataset Coverage

StoreCensus currently tracks:

Data is refreshed on a weekly basis and reflects observed platform activity across active ecommerce stores. StoreCensus detects app and plugin installations through storefront signature analysis including JavaScript signatures, API calls, and HTML markers — measuring current active installations, not historical download counts.

Research Methodology

How StoreCensus Collects This Data

Store Discovery

StoreCensus continuously discovers and indexes active Shopify storefronts globally. Our crawler identifies 2,198,914+ live stores through domain analysis, platform signals, and third-party data sources.

App Detection

App and plugin installations are detected through storefront signature analysis — including JavaScript bundle signatures, API endpoint patterns, HTML data attributes, and network request fingerprints. This identifies apps that are currently active, not merely historically downloaded.

Historical Tracking

Each store is re-scanned on a recurring basis. Historical snapshots are retained to calculate 30-day, 90-day, and year-over-year growth rates. This enables trend analysis that reflects actual merchant behavior over time, not just point-in-time counts.

Disclaimer: Estimated metrics (revenue, traffic) should be considered directional estimates rather than audited financial data. Active install counts reflect StoreCensus detection capability and may not capture 100% of installations for apps with non-standard implementation patterns.

Data Source: StoreCensus proprietary ecommerce datasets. How We Calculate Statistics
Research Notes

This page presents data from the Cluster Installation Statistics proprietary StoreCensus dataset. Statistics may change over time as stores are discovered, removed, or updated in our index.

StoreCensus does not receive compensation from app developers or vendors for rankings or placement. All rankings are determined solely by observed installation data across tracked Shopify storefronts.

  • Rankings are determined solely by observed installation data. StoreCensus does not accept payment for rankings or placement.
  • Install counts reflect active installations detected at time of last scan. Stores that have recently installed or uninstalled the app may not yet be reflected.
Last Updated: Publisher: StoreCensusUpdate Frequency: WeeklyCoverage: Global Shopify storefrontsHow We Calculate Statistics →
Related Research