1 Shopify stores currently have Instant Fit by Year/Make/Model installed, representing 0.0% of all active Shopify stores.
At a glance: Instant Fit by Year/Make/Model is the #3,804 most-installed Shopify app of the 4,190 with active installs, and #35 of 40 in Search and filters. It is most often installed alongside Enorm FAQ Page & Product FAQs and Ako Chatbot. Its largest market is Italy (100% of its stores).
Instant Fit by Year/Make/Model is installed on 1 of the 2,140,024 active Shopify stores worldwide tracked by StoreCensus. This makes it a notable player in the Search and filters category.
Unlike the Shopify App Store's historical download counts, our data reflects current active installations. We detect Instant Fit by Year/Make/Model through storefront signature analysis across millions of stores, providing accurate real-time adoption metrics that matter for market analysis and competitive intelligence.
Over the past 30 days, Instant Fit by Year/Make/Model has gained 0 net installs, representing a 0.0% change from 1 installs. The 90-day trajectory shows growth of 0 installs (0.0%).
Year-over-year, Instant Fit by Year/Make/Model has grown by 0%, moving from 1 installs to 1. This steady growth reflects consistent merchant interest.
Instant Fit by Year/Make/Model 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 100% penetration among $1M+ stores demonstrates enterprise-level trust, where merchants typically maintain complex tech stacks and face high switching costs.
| Revenue Tier | Stores | Percentage |
|---|---|---|
| $100K – $1M | 1 | 100.0% |
Automotive leads adoption at 100%%%. 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.
100% of Instant Fit by Year/Make/Model stores are in Italy, more than its 2% share of all Shopify stores.
Stores using Instant Fit by Year/Make/Model typically build comprehensive retention-focused tech stacks. 100% also use Enorm FAQ Page & Product FAQs for faq, while 100% pair it with Ako Chatbot for chat. The 100% overlap with Badgy : Product Label & Badges 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.
Instant Fit by Year/Make/Model competes in the Search and filters category with 1 installs, compared to Rebuy Personalization Engine's 11,119.
| App | Installs | Market Share |
|---|---|---|
| Rebuy Personalization Engine | 11,119 | 25.0% |
| Smart Product Filter & Search | 6,740 | 15.1% |
| Searchanise Search & Filter | 4,758 | 10.7% |
Install data shows market position by adoption — but organic discoverability is another dimension. See which keywords Instant Fit by Year/Make/Model ranks for in App Store search to understand its full competitive footprint.
As of October 29, 2026, 1 Shopify stores have Instant Fit by Year/Make/Model installed, representing 0.0% of all active Shopify stores tracked by StoreCensus.
Instant Fit by Year/Make/Model has gained 0 net installs over the past 30 days (0.0% change) and gained 0 installs over 90 days (0.0% change). Year-over-year growth is 0.0%.
Instant Fit by Year/Make/Model is most popular in Automotive (100.0% of users), followed by other sectors (0%). The app is used across stores of all sizes.
StoreCensus updates Instant Fit by Year/Make/Model installation data weekly through continuous monitoring of 2,140,024+ active Shopify stores. We detect installations through storefront signature analysis, providing accurate current install counts rather than historical download numbers.
Instant Fit by Year/Make/Model 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.
With 1 active installations, Instant Fit by Year/Make/Model 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.
1 Shopify stores currently use Instant Fit by Year/Make/Model. This data is updated weekly based on continuous monitoring of 2,140,024+ active Shopify stores.
Build targeted prospect lists of stores using Instant Fit by Year/Make/Model. Filter by revenue, industry, country, and more.
Instant Fit by Year/Make/Model is installed on 1 of the 2,140,024 Shopify stores tracked by StoreCensus, representing a 0.00% market penetration rate. It is categorized under Search and filters.
Instant Fit by Year/Make/Model is installed on 1 Shopify stores, representing 0.0% of all tracked stores. This adoption level reflects a focused user base within a specific merchant segment.
Instant Fit by Year/Make/Model install count has remained stable over the past 90 days, indicating consistent merchant retention.
Instant Fit by Year/Make/Model is frequently installed alongside Enorm FAQ Page & Product FAQs and Ako Chatbot, 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.
Based on StoreCensus tracking of 2,140,024 active Shopify stores.
How Instant Fit by Year/Make/Model relates to other apps in the Shopify ecosystem, based on co-installation patterns and category relationships.
Apps commonly paired with Instant Fit by Year/Make/Model
Apps merchants consider as alternatives
Co-installation data is derived from observed patterns across StoreCensus-tracked stores. Overlap percentages indicate the share of Instant Fit by Year/Make/Model users who also have the listed app installed.
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.
StoreCensus continuously discovers and indexes active Shopify storefronts globally. Our crawler identifies 2,140,024+ live stores through domain analysis, platform signals, and third-party data sources.
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.
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.
This page presents data from the Instant Fit by Year/Make/Model 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.
