Collect the matching inputs.
Use GA4 session and engagement definitions. Record your configured engagement timer and key events, and separate editorial landing pages from product and category pages.
← All ecommerce KPIs
Shopping journey · GA4Bounce rate.
Bounce rate.
Understand the visits that stop short.
In GA4, bounce rate is the percentage of sessions that are not engaged sessions. An engaged session passes the engagement-time threshold, includes a key event, or has at least two page or screen views.
Start with your numbers.
GA4 calculator
01 / The definitionWhat is
What is
bounce rate?
In GA4, bounce rate is the percentage of sessions that are not engaged sessions. An engaged session passes the engagement-time threshold, includes a key event, or has at least two page or screen views.
This is not Universal Analytics single-page bounce rate. Changing the timer or marking a new key event can change bounce without changing shopper behavior.
Definition reference: Google Analytics engagement and bounce rate.
02 / The measurementA clear formula.
A clear formula.
A useful comparison.
GA4 =Non-engaged sessions ÷ Total sessions × 100
Read the result in context.
Compare similar landing-page types and traffic sources in the same GA4 setup. Investigate bounce together with purchases and revenue per session.
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.
- Non-engaged sessions
- 4,000
- Total sessions
- 10,000
- GA4
- 40%
40% bounce rate, equivalent to a 60% engagement rate. The default time threshold is more than 10 seconds.
Try your numbers ↑03 / Industry benchmarksContext first.
Context first.
Targets second.
Compare similar landing-page types and traffic sources in the same GA4 setup. Investigate bounce together with purchases and revenue per session.
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.
Historical bounce result
Friluftsland
The 2021 story reports blog bounce falling from 90% to 39%. Its historical measurement is not directly comparable with GA4 bounce.
Read the customer story ↗Customer stories describe individual implementations. They are not industry benchmarks, guarantees or standardized causal tests.
05 / Put it into practice
Understand the visits that stop short.
Match landing-page content to the promise in the ad or search result and give visitors an obvious next step into the catalog.
06 / Common questionsA little more
A little more
clarity.
How do I calculate bounce rate?
Non-engaged sessions ÷ Total sessions × 100. 40% bounce rate, equivalent to a 60% engagement rate. The default time threshold is more than 10 seconds.
What should I check before comparing results?
This is not Universal Analytics single-page bounce rate. Changing the timer or marking a new key event can change bounce without changing shopper behavior.
What is a good bounce rate?
Compare similar landing-page types and traffic sources in the same GA4 setup. Investigate bounce together with purchases and revenue per session.
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
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work harder for your store.
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