Collect the matching inputs.
Define engagement, such as sending a message, and join it to later orders by session and timestamp. Separate support-only interactions when evaluating shopping assistance.
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Product discovery · Chat CVRChat-assisted conversion rate.
Chat-assisted conversion rate.
Understand the journeys that use assistance.
Chat-assisted conversion rate is the percentage of sessions engaging with a shopping assistant that complete a purchase after that interaction.
Start with your numbers.
Chat CVR calculator
01 / The definitionWhat is
What is
chat-assisted conversion rate?
Chat-assisted conversion rate is the percentage of sessions engaging with a shopping assistant that complete a purchase after that interaction.
Chat users self-select. The share of buyers who used chat is a different denominator from the share of chat users who bought.
02 / The measurementA clear formula.
A clear formula.
A useful comparison.
Chat CVR =Chat-engaged sessions with a subsequent purchase ÷ Sessions engaging with chat × 100
Read the result in context.
Compare shopping intent, device and new versus returning customers. Use randomized availability to assess incremental effect.
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.
- Chat-engaged sessions with a subsequent purchase
- 80
- Sessions engaging with chat
- 500
- Chat CVR
- 16%
16% of chat-engaged sessions purchased afterward. Opening the chat launcher alone is excluded in this example.
Try your numbers ↑03 / Industry benchmarksContext first.
Context first.
Targets second.
Compare shopping intent, device and new versus returning customers. Use randomized availability to assess incremental effect.
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.
We have not verified a published Clerk customer case with a quantified chat-assisted conversion rate result matching this page’s definition.
What would count as useful evidence?
A case reporting chat-engaged sessions with a subsequent purchase and sessions engaging with chat, with the time window and comparison method. General revenue growth or a related engagement metric does not establish this result.
Customer stories describe individual implementations. They are not industry benchmarks, guarantees or standardized causal tests.
05 / Put it into practice
Understand the journeys that use assistance.
Help shoppers resolve product questions and find suitable options, then evaluate purchase outcomes and support quality together.
06 / Common questionsA little more
A little more
clarity.
How do I calculate chat-assisted conversion rate?
Chat-engaged sessions with a subsequent purchase ÷ Sessions engaging with chat × 100. 16% of chat-engaged sessions purchased afterward. Opening the chat launcher alone is excluded in this example.
What should I check before comparing results?
Chat users self-select. The share of buyers who used chat is a different denominator from the share of chat users who bought.
What is a good chat-assisted conversion rate?
Compare shopping intent, device and new versus returning customers. Use randomized availability to assess incremental effect.
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.
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