StoreCensus

How Many Shopify Stores Use Suggestr AI Personalization?

41 Shopify stores currently have Suggestr AI Personalization installed, representing 0.0% of all active Shopify stores.

✓Last updated yesterday (October 9, 2026)

At a glance: Suggestr AI Personalization is the #3,487 most-installed Shopify app of the 8,745 with active installs. It is most often installed alongside Instafeed ‑ Instagram Feed and Judge.me Product Reviews App. Its largest market is United States (38% of its stores).

Total Installs
41
Market Share
0.0%
Category
Uncategorized
90-Day Trend
+0.0%

Suggestr AI Personalization Install Statistics

Suggestr AI Personalization is installed on 41 of the 2,126,507 active Shopify stores worldwide tracked by StoreCensus. This makes it a notable player in the Uncategorized category.

Unlike the Shopify App Store's historical download counts, our data reflects current active installations. We detect Suggestr AI Personalization 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, Suggestr AI Personalization has gained 41 net installs, representing a 0.0% change from 0 installs. The 90-day trajectory shows growth of 41 installs (0.0%).

Year-over-year, Suggestr AI Personalization has grown by 28.1%, moving from 32 installs to 41. This solid growth rate indicates strong merchant adoption.

Who Uses Suggestr AI Personalization? Revenue Breakdown

Suggestr AI Personalization shows strong adoption among established businesses, with 100% of users operating stores generating over $100K annually. The platform attracts a balanced mix across revenue tiers, though 0% of stores fall under $50K in annual revenue, indicating accessibility for emerging brands. The 29% penetration among $1M+ stores demonstrates enterprise-level trust, where merchants typically maintain complex tech stacks and face high switching costs.

Revenue TierStoresPercentage
$1M – $10M13.6%
$100K – $1M725.0%
<$100K2071.4%

Top Industries Using Suggestr AI Personalization

Fashion & Apparel leads adoption at 21%, followed by Home & Garden at 21% and Health & Wellness at 17%. Together, these three verticals represent over half of Suggestr AI Personalization's install base. This concentration reflects industries where email marketing drives significant repeat purchase revenue through seasonal campaigns, product launches, and loyalty programs that benefit from sophisticated segmentation and automation capabilities.

Fashion & Apparel
20.7%
Home & Garden
20.7%
Health & Wellness
17.2%
Jewelry & Accessories
13.8%
Food & Beverage
6.9%

Geographic Distribution

38% of Suggestr AI Personalization stores are in United States, in line with its 35% share of all Shopify stores. 14% of Suggestr AI Personalization stores are in United Kingdom, more than its 8% share of all Shopify stores. 7% of Suggestr AI Personalization stores are in Japan, more than its 1% share of all Shopify stores.

#1
United States
37.9%
11 stores
#2
United Kingdom
13.8%
4 stores
#3
Japan
6.9%
2 stores
#4
Netherlands
6.9%
2 stores
#5
Singapore
6.9%
2 stores

Apps Commonly Used With Suggestr AI Personalization

Stores using Suggestr AI Personalization typically build comprehensive retention-focused tech stacks. 31% also use Instafeed ‑ Instagram Feed for social proof, while 31% pair it with Judge.me Product Reviews App for product reviews. The 31% overlap with Shopify Inbox indicates merchants unifying customer communication across email, SMS, and support channels. This pairing pattern reveals stores prioritizing customer lifetime value optimization over one-time acquisition, with integrated tools for reviews, loyalty, and recurring revenue.

Frequently Asked Questions

How many Shopify stores use Suggestr AI Personalization?

As of October 9, 2026, 41 Shopify stores have Suggestr AI Personalization installed, representing 0.0% of all active Shopify stores tracked by StoreCensus.

Is Suggestr AI Personalization growing or declining?

Suggestr AI Personalization has gained 41 net installs over the past 30 days (0.0% change) and gained 41 installs over 90 days (0.0% change). Year-over-year growth is 28.1%.

What types of stores use Suggestr AI Personalization?

Suggestr AI Personalization is most popular in Fashion & Apparel (20.7% of users), followed by Home & Garden (20.7%). The app is used across stores of all sizes.

How often is Suggestr AI Personalization data updated?

StoreCensus updates Suggestr AI Personalization installation data weekly through continuous monitoring of 2,126,507+ active Shopify stores. We detect installations through storefront signature analysis, providing accurate current install counts rather than historical download numbers.

How does Suggestr AI Personalization compare to competitors?

Suggestr AI Personalization holds a 0.0% 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 Suggestr AI Personalization for my Shopify store?

With 41 active installations, Suggestr AI Personalization is a growing solution. Consider the 90-day growth trend (0.0%) 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.

41 Shopify stores currently use Suggestr AI Personalization. This data is updated weekly based on continuous monitoring of 2,126,507+ active Shopify stores.

Target Stores Using Suggestr AI Personalization

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

Market Intelligence

Market Position

Niche Adoption
41
Active Installs
0.00%
Market Penetration

Suggestr AI Personalization is installed on 41 of the 2,126,507 Shopify stores tracked by StoreCensus, representing a 0.00% market penetration rate. It is categorized under Uncategorized.

App Adoption

What This Means

Suggestr AI Personalization is installed on 41 Shopify stores, representing 0.0% of all tracked stores. This adoption level reflects a focused user base within a specific merchant segment.

Over the past 90 days, Suggestr AI Personalization has gained 41 net installs (+0.0%). Positive 90-day momentum indicates continued merchant adoption.

Suggestr AI Personalization is frequently installed alongside Instafeed ‑ Instagram Feed and Judge.me Product Reviews App, suggesting merchants use it as part of a broader technology stack rather than as a standalone solution.

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

Research Summary

Suggestr AI Personalization: Key Findings

Based on StoreCensus tracking of 2,126,507 active Shopify stores.

App Ecosystem

Suggestr AI Personalization in Context

How Suggestr AI Personalization relates to other apps in the Shopify ecosystem, based on co-installation patterns and category relationships.

Co-installation data is derived from observed patterns across StoreCensus-tracked stores. Overlap percentages indicate the share of Suggestr AI Personalization users who also have the listed app installed.

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 2,126,507+ 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 Suggestr AI Personalization 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 →
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