Online store survival rate measures what share of stores or e-commerce businesses remain active after one year, three years, five years or another cohort period. The key challenge is that official survival data is usually business-level, while e-commerce often operates through websites, marketplaces and multiple sales channels.
Back to the hub:
E-commerce Statistics.
This dataset belongs to
Market size & growth.
For related pressure metrics, compare this with e-commerce profitability benchmarks cash flow pressure benchmarks online store survival rate.
Key benchmark signals
Use these reference points as directional benchmarks. Where e-commerce-only survival data is limited, compare official business survival data with commerce-specific operating pressure signals.
38.4%
ONS reports that UK businesses born in 2019 had a five-year survival rate of 38.4%.
11.1%
ONS reports a UK business birth rate of 11.1% in 2024.
9.8%
ONS reports a UK business death rate of 9.8% in 2024.
Benchmark table
These ranges and signals should be interpreted by category, business model, maturity, geography, and acquisition channel mix.
| Benchmark | What it means | How to use it |
|---|---|---|
| One-year survival | Useful for checking early launch risk. | Compare new-store survival with launch costs, inventory commitment and ad dependency. |
| Three-year survival | Shows whether the store passed the initial novelty phase. | Use for operational maturity and repeat purchase development. |
| Five-year survival | A stronger measure of durable business viability. | Use for investor context, business planning and market-risk comparisons. |
| Website survival | Measures whether a store/domain remains live, not whether the business remains alive. | Use carefully because a business may migrate platforms or domains. |
| Seller-account survival | Applies to marketplaces but may not represent company survival. | Use for Amazon, Etsy, eBay and marketplace-specific research only. |
How to read this benchmark
This is a pressure benchmark, not a single universal rule. Use it to compare risk, cash flow, profitability and operating maturity.
- Use a clear cohort. State the year the store/business started and the period measured.
- Separate survival from profitability. A store can survive while being unprofitable, and a profitable owner can close a store for strategic reasons.
- Compare by model. DTC, marketplace, dropshipping, subscription and retail-plus-online survival should not be mixed without context.
Avoid citing generic claims such as “90% of e-commerce stores fail” without a source, definition, geography and time window. Use official survival datasets where possible, then add e-commerce-specific context separately.
Segments and business-model differences
The same benchmark can mean different things for a bootstrapped Shopify store, a marketplace seller, a DTC brand, a retailer, or a cross-border merchant.
Dropshipping stores
Often have low setup friction but can churn quickly when ad costs rise or products become saturated.
Inventory-led brands
Higher startup capital and stock risk, but stronger survival if retention and margin work.
Subscription e-commerce
Survival depends heavily on churn, retention and customer lifetime value.
Cross-border stores
Survival is affected by localization, duties, returns, payment methods and delivery trust.
Definition
Online store survival rate is the percentage of stores or e-commerce businesses that remain active after a defined period.
Cohort survival tracks businesses launched in the same starting period.
Active store should be defined before use, for example accepting orders, filing accounts, keeping a website live, or maintaining marketplace activity.
Sources
Primary and reference sources used for this dataset page.
- ONS Business demography UK 2024 — https://www.ons.gov.uk/businessindustryandtrade/business/activitysizeandlocation/bulletins/businessdemography/2024
- BLS Establishment Age and Survival — https://www.bls.gov/bdm/bdmage.htm
- US Census Quarterly Retail E-commerce Sales — https://www.census.gov/retail/ecommerce.html
Cite this dataset
Best For Ecommerce. “Online Store Survival Rate.” BestForEcommerce.com, 2026.