Collect the matching inputs.
Use the email platform’s delivery counts and a stated click or open attribution window. Align order refunds and currency treatment with the revenue definition.
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Email · Email RPREmail revenue per recipient.
Email revenue per recipient.
Understand the value of each delivered message.
Email revenue per recipient divides email-attributed revenue by delivered messages. For a single send, each delivered recipient counts once; across sends, a person can contribute several deliveries.
Start with your numbers.
Email RPR calculator
01 / The definitionWhat is
What is
email revenue per recipient?
Email revenue per recipient divides email-attributed revenue by delivered messages. For a single send, each delivered recipient counts once; across sends, a person can contribute several deliveries.
Revenue per unique person across a month is a different metric. Open-based attribution can claim sales without a deliberate email interaction.
02 / The measurementA clear formula.
A clear formula.
A useful comparison.
Email RPR =Revenue attributed to the emails ÷ Delivered messages
Read the result in context.
Separate campaigns from flows and compare similar flow types. A cart reminder reaches a different audience from a general newsletter.
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 attributed to the emails
- 2,400
- Delivered messages
- 10,000
- Email RPR
- €0.24
€0.24 attributed revenue per delivered message. Repeated recipients across sends are counted per delivery.
Try your numbers ↑03 / Industry benchmarksContext first.
Context first.
Targets second.
Separate campaigns from flows and compare similar flow types. A cart reminder reaches a different audience from a general newsletter.
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 email revenue per recipient result matching this page’s definition.
What would count as useful evidence?
A case reporting revenue attributed to the emails and delivered messages, 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 value of each delivered message.
Use relevant products and a clear next action, then test incremental revenue with a holdout when possible.
06 / Common questionsA little more
A little more
clarity.
How do I calculate email revenue per recipient?
Revenue attributed to the emails ÷ Delivered messages. €0.24 attributed revenue per delivered message. Repeated recipients across sends are counted per delivery.
What should I check before comparing results?
Revenue per unique person across a month is a different metric. Open-based attribution can claim sales without a deliberate email interaction.
What is a good email revenue per recipient?
Separate campaigns from flows and compare similar flow types. A cart reminder reaches a different audience from a general newsletter.
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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