E-commerce Platform Survival Rates: Which Platforms Have the Lowest Churn?
Analysis of 5.2 million new e-commerce stores reveals that regional platforms have 2x better survival rates than global giants. Here's why barrier-to-entry predicts merchant quality.
Key Finding
Regional e-commerce platforms have 2x better merchant survival rates than global giants like Shopify, WooCommerce, and Wix.
We tracked 5.2 million new stores launched between May and July 2025, then measured how many were still operating 5 months later. The pattern is striking: the easier it is to start a store, the faster merchants abandon it.
Legend: 🟢 Regional platforms (70-85%) | 🔵 Established players (61-80%) | 🔴 Low-barrier giants (24-47%)
The Scale
| Platform | New Stores (May-Jul 2025) | Still Operating (Dec 2025) | Survival Rate |
|---|---|---|---|
| Shopify | 2,186,734 | 1,026,693 | 47.0% |
| WooCommerce | 1,333,083 | 531,904 | 39.9% |
| Wix eCommerce | 1,296,460 | 315,525 | 24.3% |
These three platforms account for 93% of our sample. Their low survival rates aren't a quality problem - they reflect who they attract.
The Pattern: Barrier-to-Entry Predicts Survival
Regional platforms across different continents show remarkably similar survival rates:
| Region | Platform | Survival Rate |
|---|---|---|
| Hungary | Shoprenter | 84.3% |
| Japan | BASE | 81.8% |
| Brazil | Tray | 81.0% |
| Poland | Shoper | 75.3% |
| Czech Republic | Shoptet | 70.3% |
This isn't about geography. It's about friction.
Why Higher Friction = Better Merchants
Low-barrier platforms (Shopify, Wix, Squarespace) optimize for instant setup:
- Launch a store in minutes
- Free trials with no commitment
- Minimal verification required
This attracts a mix of serious merchants AND:
- Hobbyists testing an idea for a weekend
- Dropshippers running A/B tests on niches
- Course-takers completing homework assignments
Regional platforms typically require:
- Local payment setup (often bank verification)
- Language-specific onboarding
- Sometimes contracts or phone calls with sales
This friction filters out casual users before they even start.
What This Means for Business
For Investors & VCs
Survival rate is a merchant quality signal, not a platform quality metric.
When evaluating e-commerce platforms:
- High churn ≠bad product (may indicate massive top-of-funnel)
- Low churn ≠good retention (may indicate small, filtered audience)
- The real question: what's the LTV of merchants who survive 6+ months?
For Payment Providers & Logistics
If you're onboarding merchants, platform choice is a risk signal:
| Risk Tier | Platforms | Expected 5-mo Survival |
|---|---|---|
| Lower risk | BASE, Tray, Shoper, Shoptet | 70-85% |
| Medium risk | PrestaShop, BigCommerce, Magento | 60-70% |
| Higher risk | Shopify, WooCommerce | 40-50% |
| Highest risk | Wix, Squarespace | 25-35% |
This doesn't mean reject Shopify merchants - but perhaps verify longer before extending credit.
For Platform Vendors
Understanding why stores fail can inform:
- Onboarding: Are merchants set up for success, or just set up?
- Pricing: Do trial-to-paid conversion rates mask churn?
- Positioning: Is "launch in 5 minutes" attracting the wrong customers?
Top 20 Platforms by Survival Rate
| # | Platform | New Stores | Survival |
|---|---|---|---|
| 1 | BASE (Japan) | 5,080 | 81.8% |
| 2 | Dooca (Brazil) | 1,699 | 81.7% |
| 3 | Tray (Brazil) | 3,166 | 81.0% |
| 4 | GoDaddy Online Store | 75,245 | 79.5% |
| 5 | Jumpseller | 1,382 | 76.1% |
| 6 | EC-CUBE (Japan) | 1,306 | 76.1% |
| 7 | Shoper (Poland) | 2,839 | 75.3% |
| 8 | Fourthwall | 7,990 | 74.7% |
| 9 | SAP Commerce Cloud | 2,658 | 74.3% |
| 10 | CS Cart | 1,912 | 72.8% |
| 11 | PrestaShop | 24,335 | 71.1% |
| 12 | Shoptet (Czech) | 4,210 | 70.3% |
| 13 | DigiFi | 2,837 | 66.3% |
| 14 | BigCommerce | 4,322 | 66.2% |
| 15 | Nuvemshop (LatAm) | 30,213 | 65.5% |
| 16 | nopCommerce | 2,312 | 64.1% |
| 17 | Loja Integrada (Brazil) | 4,983 | 61.7% |
| 18 | Big Cartel | 7,367 | 61.7% |
| 19 | Magento | 21,825 | 61.2% |
| 20 | Unas (Hungary) | 1,491 | 57.5% |
Shopify ranks #26 with 47.0% survival, WooCommerce #29 with 39.9%.
Methodology
Data Collection
We continuously scan the web for e-commerce stores using a combination of:
- Platform fingerprinting (detecting Shopify, WooCommerce, etc. signatures)
- E-commerce classification (ML model trained on checkout flows, cart elements, product pages)
Cohort Definition
Inclusion criteria:
- First detected between May 1 and July 22, 2025
- Scanned at least twice (reduces false positives from temporary sites)
- No platform migration during observation period
Sample size: 5,203,287 stores across 50+ platforms
Survival Definition
A store is classified as "alive" in December 2025 if ALL conditions are met:
- Accessible: Returns HTTP 200 status
- E-commerce: Our classifier identifies it as an active e-commerce store
- Operational: Not showing a maintenance, "coming soon," or "store closed" page
This is stricter than platform detection alone. A Shopify store showing "This store is unavailable" still has Shopify code in the HTML - but we don't count it as alive.
Limitations
- Observation window: 5 months (May-Dec 2025). Long-term retention may differ.
- Temporary outages: Some "dead" stores may have been temporarily unavailable during our scan.
- Platform detection: Our fingerprinting may miss heavily customized stores.
- Survivorship in data: Platforms with very low adoption may have higher survival simply due to self-selection.
Analysis based on ShopRank data. We track 15M+ e-commerce stores globally, updated monthly.