What Share of Revenue Should Email Bring In? How to Find Your Ceiling

Someone at a board meeting asks, "How much does email bring in for us?" The marketing lead says, "About 12% of revenue." Everyone nods. Nobody knows if that's good or bad. For one business, 12% means the channel is maxed out. For another, it means half the money is still sitting on the table.

This article turns that single number into a decision you can actually act on. We'll share rough benchmarks by business type, but the main goal is different: we'll show you how to work out the ceiling for your own list and how to tell when you're falling short of it.

The short version

• Email's share of revenue means nothing until you answer two questions: how your tools give credit for a sale, and how much of your revenue can come from repeat customers at all.
• Industry benchmarks work as a rough filter, not as a target. You'll find a table with ranges below, along with an honest note on where they come from.
• Your own potential depends on three things: how many active subscribers you have, how often you email them, and how much each email earns. We'll walk through the math step by step.
• Automated emails have their own ceiling. It's almost always bigger than people expect, and almost always under-used.
• At the end you'll find ten signs you're under-earning and a 30-day plan to check your own numbers.

Why "email brings in 12%" tells you nothing yet

Before you compare yourself to anyone, agree on what you're dividing by what. Email's share of revenue has a top number (how much money the channel claims) and a bottom number (total revenue). Both are easy to distort.

The top number: the attribution window decides everything

Every email platform has to decide which sales count as "email sales." Marketers call this attribution. Most platforms give email the credit if someone opened or clicked an email a few days before ordering. That window matters a lot. A 5-day window that counts opens and a 1-day window that counts only clicks can give the same store numbers that differ several times over.

Opens add their own noise. Since Apple changed how Mail handles privacy in 2021, the Mail app loads many emails automatically, so a chunk of "opens" come from software, not from people.

So the first thing to check is which attribution model your email platform and your analytics use. If email gets credit for opens over a long window, your 12% might really be 6%. If you only count the last click in Google Analytics, your 12% might really be 20%, because Google Analytics often gives the sale to whatever brought the person back at the last moment, like a branded search or typing your URL directly.

The bottom number: how much revenue your list can reach at all

Email only talks to people who already gave you their address. If 80% of your revenue comes from new customers who arrive through paid ads and buy once, email simply can't bring in 40%. If your business runs on repeat purchases, the bar sits much higher.

That's why it helps to track a second number next to "share of total revenue": email's share of revenue from repeat customers. It gives you a fairer way to compare yourself with yourself over time. If you double your ad budget, email's share of total revenue will drop even though the channel didn't get any worse.

Benchmarks by business type

Now for the numbers. One caveat first: these aren't findings from a study. They're the ranges we and others in the industry typically see once a program is mature, meaning the core automated emails are live, campaigns go out on a steady schedule, and someone cleans the list regularly. Use them for a first gut check, not as a standard. Your business can be below or above them for perfectly good reasons.

How to use the table: if you sit well below the bottom of your range, that's a reason to dig in. If you're inside the range, you can stop looking at the table, because from here only the math on your own list matters. If you're above the top of the range, check your attribution first. Often that's not channel success, just a generous window.

Finding your ceiling: list size, frequency and revenue per email

Benchmarks tell you where other businesses are. Your ceiling tells you where you could be. You can estimate it in an evening with a spreadsheet and an export from your email platform.

The campaign formula

Monthly revenue from campaigns (the emails you send to your list):

Campaign revenue = Active subscribers × Emails per month × Revenue per recipient

Here's what each part means:

• Active subscribers: not your whole list, only the people who opened or clicked in the last 90 to 120 days (keeping in mind the noisy opens we covered above). Dead addresses don't buy anything, and they hurt your inbox placement.
• Emails per month: the real frequency your audience tolerates without a spike in unsubscribes.
• Revenue per recipient: revenue divided by the number of delivered emails. You can break it down further: share of people who click × share of clicks that turn into orders × average order value.

Working through the math on a skincare brand

Let's take a direct-to-consumer skincare brand in the US. We changed the details and rounded the numbers, but this is exactly the kind of math we walk clients through when we start working together. Here's where the program stood at the start.

• The list has 80,000 addresses, and 35,000 of them were active in the last 120 days.
• The brand sends 4 emails a month.
• 1.5% of recipients click, 3% of those clicks turn into orders, and the average order is $55.

Revenue per recipient = 0.015 × 0.03 × 55 = $0.025. Campaign revenue = 35,000 × 4 × 0.025 = $3,465 a month.

Now the scenario we'd build into the plan. The brand moves to 8 emails a month (twice a week, which customers of a product they reorder regularly handle just fine), and better targeting lifts clicks to 2% while conversion stays the same.

Revenue per recipient = 0.02 × 0.03 × 55 = $0.033. Campaign revenue = 35,000 × 8 × 0.033 = $9,240 a month.

That's almost three times more without a single new subscriber. One important adjustment: sending more often almost always lowers what each email earns a little, so assume revenue per recipient drops 10-20% when you double frequency. Even after that adjustment, revenue grows a lot.

The automated email formula

Automated emails (welcome emails, abandoned cart reminders, browse reminders, repeat purchase nudges, win-back emails) depend on events, not on your list size. For each one:

Automated email revenue = Number of trigger events × Share of events where you know the email address × Conversion rate × Average order value

Here's the same brand's abandoned cart email:

• Shoppers leave 4,000 carts a month.
• The brand knows the shopper's email in 40% of cases (they're logged in or typed their address on the first checkout step): 1,600 carts.
• A sequence of three emails brings back 5% of them: 80 orders.
• At $55 per order, that's $4,400 a month.

If the brand only knew the email for 15% of carts, the same sequence would bring in $1,650. That's why capturing the address early (putting the email field first at checkout, or a pop-up with a clear reason to sign up) sometimes beats rewriting the emails themselves.

Run this math for every automated email and add the total to your campaigns. For most businesses, five automated emails do most of the work: the welcome email, abandoned cart, abandoned browse, repeat purchase and win-back.

Putting the ceiling into one number

Here's the full picture for this brand:

If the store makes $90,000 a month in total, email brings in about 7% today and could reach about 20%. That lands inside the benchmark range for the category. Instead of a vague "we need to do more with email," the brand now has a specific $12,000 monthly gap with a clear source for every dollar, and that gap becomes the work plan.

The same math for other business models

The formula above fits an online store. In other businesses, you change what counts as "revenue per recipient" and which part of the program matters most.

SaaS: the money comes from trial conversions and upgrades

Take a software product for small teams with a 14-day free trial. Campaigns to the whole list matter less here. Onboarding emails do the heavy lifting.

• 2,500 people start a trial every month.
• Without emails, 8% of them become paying customers: 200 accounts.
• An onboarding sequence that walks people to the key action (connecting an integration, inviting a teammate) lifts that to 10%: 250 accounts.
• At $40 a month and an average customer lifetime of 18 months, each extra customer is worth $720 over their lifetime.

50 extra customers × $720 = $36,000 in lifetime value added every month by a single sequence. As a share of monthly revenue it looks modest, so in SaaS it makes more sense to measure email's effect on trial conversion and on net revenue retention, meaning how much revenue you keep and grow from existing customers. Use the same logic for upgrade emails: count how many accounts move to a higher plan with the sequence and without it.

Mobile apps: email covers you when push is off

Many people turn off push notifications for a fitness app within the first week. For them, email is the only channel outside the app. Here the math starts with cancellations:

• The app has 10,000 subscribers on an annual plan that renews once a year.
• About 830 of them reach their renewal date each month.
• Say 30% of those planned to cancel, which is 250 people. A reminder email with a year in review ("you did 112 workouts") and an offer to move to a better plan keeps an extra 3% of them: 7 or 8 subscriptions a month.

That looks small until you multiply it by the annual price and by 12 months. In apps, email rarely brings in a large share of revenue directly, but you notice its absence fast in your cancellation rate.

Travel: seasons and repeat trips

A hotel booking service lives by the seasons. Campaigns in January (when people plan spring trips) and in May (summer) bring in most of the year's email revenue. Here it's better to estimate the ceiling for the year, not the month: active subscribers × campaigns per season × revenue per recipient in that season, plus automated emails like "you looked at hotels in this city" and "your trip is in 7 days, add an airport transfer."

The most common gap in travel is the silence after the trip. The traveler comes home happy, and the next email shows up three months later with a generic sale. A "how was your trip? here's where people who loved Lisbon go next" email costs very little and arrives while the person still remembers you.

Edtech: revenue comes in waves

For an online school, email revenue clusters around launches. In the month a course opens for enrollment, email might bring in half of all sales, and close to nothing the rest of the time. So the average "email share" in edtech misleads. Estimate the ceiling per launch instead: the number of people warmed up by a webinar or a free lesson × launch conversion rate × course price. Between launches, track the number that sets up the next one: how many subscribers stayed active over the last 60 days.

Marketplaces: two lists instead of one

A marketplace (say, a platform for handmade goods) has buyers and sellers, and email works with both. You calculate buyer revenue the same way as in ecommerce: campaigns plus automated emails. Sellers have their own potential, though. Emails that help them list products more often, reply to orders faster and come back after a break grow the catalog, and a bigger catalog grows the platform's revenue.

For sellers, the math starts with activity: the number of sellers who haven't listed anything in 30 days × the share you bring back with a "here's what buyers in your category are searching for" email × the monthly sales of an active seller × the platform's commission. Email almost never gets credit for this revenue, which is why marketplace reports often understate the channel. If you run a marketplace, calculate the two lines separately and report both.

Ten signs you're under-earning

The math shows you the gap in dollars. The signs below help you find it faster, before you even open a spreadsheet. If you recognize three or more, your channel can almost certainly earn more than it does today.

Under-earning checklist

1. Your last campaign went to the whole list with no segments. The person who bought yesterday and the person who hasn't opened anything in a year got the exact same email.
2. Your welcome sequence is a single email, or someone wrote it when the site launched and nobody has touched it since.
3. You have an abandoned cart email but no abandoned browse email. Someone looked at a product three times, and you said nothing.
4. You send nothing after a purchase except the receipt and the shipping notice.
5. You know the email address for fewer than 25% of abandoned carts, or you don't know the number at all.
6. Fewer than 30-40% of your list is active, and nobody has cleaned the list in over a year.
7. Your frequency jumps around: three emails a week during a sale, then a month of silence. People forget about you, and when you come back, spam complaints follow.
8. Your email platform has no purchase data, or it has the data but you don't use it to segment. Your emails revolve around what you want to sell, not around what people bought.
9. Nobody knows the revenue per recipient for your campaigns. Reports stop at open rates.
10. A noticeable share of your emails lands in the promotions tab or in spam, and you find out from falling clicks instead of from monitoring (delivery rates, spam complaints, test inboxes).

How to grow your share without burning out your list

Once you know the size of the gap, you'll want to close it fast: double the frequency, put a discount in every email. That works for a couple of months. Then unsubscribes and complaints climb, and customers learn to wait for a promo code. The order of steps matters more than speed.

Automated emails first, frequency second

Automated emails go out in response to something a person did, so the revenue they bring in barely costs you any goodwill. Start with the part of the program where the gap between "today" and "potential" in your table is the biggest. For most stores, that's abandoned cart and repeat purchase. For SaaS it's onboarding, and for apps it's the renewal reminder.

Raise frequency one segment at a time

Don't send more to your whole list at once. Add a second weekly email only for people who clicked in the last 30 days, then look at unsubscribes and revenue for that group after four to six weeks. If revenue per recipient dropped by less than 20% and unsubscribes stayed in their usual range, roll it out wider.

Watch your margin, not just your revenue

Email's share of revenue can grow on the back of discounts that eat your profit. Add at least a rough estimate to your report: how much email revenue came with a promo code, and how deep the average discount was. If 70% of the channel's revenue depends on a 25% discount, the channel earns less than the dashboard says. An honest return on investment calculation counts the discounts along with the cost of your email platform, your team and design.

A 30-day plan: from one number to a working model

After 60 days, recalculate the whole table. If email's share went up but the share of revenue from repeat customers didn't change, email just took credit from other channels. If both went up, the channel really brings in new money.

Frequently asked questions

What percentage of revenue from email is good for an online store?

Stores with repeat purchases and a mature program often see 20-35%. Stores that sell rare, expensive items usually see 8-20%. Treat these as a rough guide, not a rule. What matters more is how close you are to the ceiling of your own list, calculated with the formula above.

Why does my email platform show a higher share than Google Analytics?

Your email platform usually takes credit for any order that follows an open or a click within a window of a few days. Google Analytics, by default, gives the order to the last source of the visit. Both numbers are "right" by their own logic. Pick one method for your reports and check it against a holdout test once a quarter.

Can email's share be too high?

Yes. If email brings in more than 40-50% of revenue, check two things: whether your attribution window is too generous, and whether the business leans on a single channel. A high share while new customer growth slows means you're doing a great job selling to your list and a poor job growing it.

How do I estimate the potential with a small list?

The formula stays the same. The numbers are just smaller. With 5,000 subscribers, your biggest lever usually isn't frequency. It's automated emails and collecting more addresses: a pop-up, the email field first at checkout, a sign-up offer after purchase. Work out what one new subscriber costs you and compare it with how much that subscriber will likely spend in a year.

How often should I recalculate the channel's potential?

Once a quarter for campaigns and automated emails, and always after a big change: switching email platforms, redesigning checkout, launching a new product line or sharply increasing your ad spend.

What's next

If your math shows a real gap between "today" and "potential," and nobody on your team has time to sort out attribution and event tracking, the Emails Kingdom team can run a free audit. We'll look at your list, your automated emails and your reporting, and show you in dollars where the channel falls short.