Collect the matching inputs.
Join clicks, product IDs and orders within a stated window. Deduplicate attributed revenue across placements and use the same net-revenue basis in both totals.
← All ecommerce KPIs
Product discovery · Recommendation shareRecommendation revenue share.
Recommendation revenue share.
Understand recommendation-attributed sales.
Recommendation revenue share is the proportion of total store revenue assigned to recommendations by a stated attribution rule. This guide uses revenue from purchased products previously clicked in a recommendation.
Start with your numbers.
Recommendation share calculator
01 / The definitionWhat is
What is
recommendation revenue share?
Recommendation revenue share is the proportion of total store revenue assigned to recommendations by a stated attribution rule. This guide uses revenue from purchased products previously clicked in a recommendation.
Some dashboards attribute the entire order after a recommendation click. That wider rule will produce a different share and should be labeled.
02 / The measurementA clear formula.
A clear formula.
A useful comparison.
Recommendation share =Revenue from recommendation-attributed products ÷ Total store revenue × 100
Read the result in context.
Compare only with the same window and product-versus-order attribution scope. More tracked placements can increase share without increasing sales.
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.
- Revenue from recommendation-attributed products
- 15,000
- Total store revenue
- 100,000
- Recommendation share
- 15%
15% of store revenue met the recommendation attribution rule. This is an attributed share, not 15% extra revenue.
Try your numbers ↑03 / Industry benchmarksContext first.
Context first.
Targets second.
Compare only with the same window and product-versus-order attribution scope. More tracked placements can increase share without increasing sales.
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 recommendation revenue share result matching this page’s definition.
What would count as useful evidence?
A case reporting revenue from recommendation-attributed products and total store revenue, 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 recommendation-attributed sales.
Use the share to understand adoption and coverage; use a randomized holdout to establish additional revenue.
06 / Common questionsA little more
A little more
clarity.
How do I calculate recommendation revenue share?
Revenue from recommendation-attributed products ÷ Total store revenue × 100. 15% of store revenue met the recommendation attribution rule. This is an attributed share, not 15% extra revenue.
What should I check before comparing results?
Some dashboards attribute the entire order after a recommendation click. That wider rule will produce a different share and should be labeled.
What is a good recommendation revenue share?
Compare only with the same window and product-versus-order attribution scope. More tracked placements can increase share without increasing sales.
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.