Collect the matching inputs.
Use session IDs to connect purchase events to visits. Reconcile transaction IDs with valid orders, remove duplicate purchase events, and exclude internal traffic consistently.
← All ecommerce KPIs
Shopping journey · CVRConversion rate.
Conversion rate.
Turn more visits into purchases.
Ecommerce session conversion rate is the share of store sessions that include at least one completed purchase. It shows how often a visit becomes a buying visit.
Start with your numbers.
CVR calculator
01 / The definitionWhat is
What is
conversion rate?
Ecommerce session conversion rate is the share of store sessions that include at least one completed purchase. It shows how often a visit becomes a buying visit.
Orders divided by sessions is a different measure. Visitor-based conversion and ad-platform conversion rates also use different denominators.
02 / The measurementA clear formula.
A clear formula.
A useful comparison.
CVR =Sessions with a purchase ÷ Eligible store sessions × 100
Read the result in context.
Segment device, country, acquisition channel and new versus returning visitors. Compare like-for-like weeks before treating a change in traffic mix as a UX improvement.
Document the comparison.
Keep the reporting dates, population, exclusions and calculation with every result. Show underlying counts as well as the average or rate, so a small sample does not look more conclusive than it is.
Illustrative example
From inputs to insight.
- Sessions with a purchase
- 250
- Eligible store sessions
- 10,000
- CVR
- 2.5%
2.5% of sessions included a purchase. Count each purchasing session once, even if it contains two orders.
Try your numbers ↑03 / Industry benchmarksContext first.
Context first.
Targets second.
Segment device, country, acquisition channel and new versus returning visitors. Compare like-for-like weeks before treating a change in traffic mix as a UX improvement.
We have not verified a public industry benchmark that matches the exact definition used on this page. A precise-looking generic range would hide important differences between businesses.
Build your own benchmark
Start with a comparable baseline.
01
Match the population.
Choose the category, channel or customer cohort you can compare consistently.
02
Let the data mature.
Use complete periods and allow the purchase, attribution or returns window in your definition to close.
03
Test a specific opportunity.
Set a target from your economics and observed variation. Keep conversion and contribution in view.
04 / Clerk customer evidenceReal stories.
Real stories.
Clear measurement limits.
These examples show the reported outcome or a related use case. Read each evidence label before comparing it with your KPI.
Reported conversion-rate result
ProVape
ProVape reports a 298% increase in conversion rate after introducing personalized Recommendations, alongside larger baskets and higher order values.
Read the customer story ↗
Reported conversion-rate result
Vitarock
Vitarock reports an 803% increase in conversion rate after improving product discovery with Search and Recommendations.
Read the customer story ↗
Reported conversion-rate result
Ausilium
Ausilium’s published key stats include a 330% increase in conversion rate. The case describes Search, Recommendations, Email and merchandising across its catalog.
Read the customer story ↗
Reported conversion-rate result
Friluftsland
Friluftsland reports a 304% increase in conversion rates in a case covering site search, blog recommendations and email. The result’s precise traffic scope is not specified.
Read the customer story ↗These are the conversion increases reported by the individual stories. Their denominators, comparison periods and test methods are not consistently specified, so they should not be read as directly comparable session conversion rates.
Customer stories describe individual implementations. They are not industry benchmarks, guarantees or standardized causal tests.
05 / Put it into practice
Turn more visits into purchases.
Help shoppers find relevant products, then investigate the journey from product view to cart and checkout.
06 / Common questionsA little more
A little more
clarity.
How do I calculate conversion rate?
Sessions with a purchase ÷ Eligible store sessions × 100. 2.5% of sessions included a purchase. Count each purchasing session once, even if it contains two orders.
What should I check before comparing results?
Orders divided by sessions is a different measure. Visitor-based conversion and ad-platform conversion rates also use different denominators.
What is a good conversion rate?
Segment device, country, acquisition channel and new versus returning visitors. Compare like-for-like weeks before treating a change in traffic mix as a UX improvement.
Does a higher attributed result prove incremental growth?
No. Attribution connects an interaction with an outcome under a reporting rule. To estimate what a change added, compare randomly assigned treatment and control groups using the same eligible population and a predefined measurement window.
Keep learning
Connect the numbers.
Your next opportunityMake product discovery
Make product discovery
work harder for your store.
Explore how Clerk helps shoppers find relevant products throughout their journey.