Revenue Per Email
Email MarketingAlso: RPE · Revenue Per Send
Quick definition
Revenue Per Email is the average dollar amount a single email generates, calculated as total campaign revenue divided by the number of emails delivered. It turns vague engagement metrics like open rate and click-through rate (CTR) into a single number tied directly to money.
Compare this figure against your own list's history and against individual segments, not against a generic industry average. List quality and purchase frequency move this number more than industry category does.
How it varies across Australia
Revenue Per Email varies sharply by list quality and purchase frequency, not just industry. Ecommerce brands selling low-frequency high-value items tend to show higher per-email revenue than daily-use consumables, even with similar list sizes. Segment-level Revenue Per Email tells you more than a single blended number ever will.
See email performance benchmarks across Australian industries →What it actually means
Open rate and click-through rate (CTR) tell you whether people paid attention. They don't tell you whether the email made money. Revenue Per Email closes that gap by putting a dollar figure on every single send, which is the number that actually matters to the business.
The calculation is simple. Total revenue attributed to the campaign, divided by the number of emails delivered (not sent, delivered, which excludes bounces). A $10,000 campaign sent to 20,000 delivered inboxes returns $0.50 per email. That number alone means little. Its value comes from comparison, tracked against your own history and against segments within the same list.
Revenue Per Email is also a cleaner comparison tool than conversion rate when campaigns have different list sizes. A campaign with a high conversion rate sent to a tiny segment can still generate less total value than a lower-converting send to a larger, more qualified segment. Revenue Per Email normalises for that.
The number depends heavily on attribution windows and how revenue gets tied to a click, so consistency in measurement matters more than the number itself.
Open rate tells you who looked. Revenue Per Email tells you if the send was worth making.
How to calculate it
Revenue Per Email = Total campaign revenue ÷ Number of emails delivered
Worked example. A campaign generates $8,400 in attributed revenue. It was sent to 15,000 subscribers, with 300 bounces, so 14,700 emails were delivered. Revenue Per Email = $8,400 ÷ 14,700 = $0.57.
The Australian context
Australian email lists tend to be smaller than US or UK equivalents, which makes Revenue Per Email more volatile campaign to campaign. A single large order can distort the number for a small list in a way it wouldn't for a list ten times the size.
Spam Act compliance also plays a quiet role here. Lists built through purchased data or weak consent practices tend to show poor Revenue Per Email because engagement and purchase intent are low, even before deliverability problems drag the number down further.
Where people get this wrong
Related terms
Common questions
What's a good Revenue Per Email figure?
There's no universal good number. It depends on average order value, purchase frequency and list quality. A high-value low-frequency category will naturally show a higher figure than a low-cost consumable brand with the same engagement levels.
Why does Revenue Per Email matter more than open rate?
Open rate measures attention, not outcome. Revenue Per Email ties a specific dollar figure to each send, which makes it directly comparable to the cost of running the campaign and far more useful for deciding what to send again.
Should I track Revenue Per Email for every campaign?
Yes, but track it alongside segment-level breakdowns rather than as one blended figure. A campaign-wide average can mask a strong-performing segment being dragged down by an unengaged part of the list.
How does list size affect Revenue Per Email?
Larger lists generally dilute the figure because they include less-engaged subscribers, while smaller, highly-engaged lists can post higher per-email figures. Segmenting by engagement level gives a cleaner comparison than looking at raw list size.
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About New Rebellion
New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.
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