Email Marketing ROI: Statistics, Benchmarks & How to Improve

Email marketing ROI is the net revenue a program generates divided by its total cost, usually reported as a ratio of dollars earned per dollar spent. Litmus's most recent ROI study put the average at $36 per $1 invested, with top performers above $70 (Litmus, 2024). That gap is the entire subject of this guide.

The DMA's UK-focused Marketer Email Tracker has reported even higher numbers in some years, up to £42 per £1, and the range holds across most published studies; email is consistently the highest-ROI digital channel when it's run competently (Data & Marketing Association, 2019). The question is never whether email works. It's why yours isn't hitting the benchmark.

What is email marketing ROI?

Email marketing ROI is the financial return on a business's email program, expressed as revenue per dollar of cost. For every dollar you put into email (tool fees, list costs, design time, staff), how many come back? Most reports use a ratio like 36:1; some use a percentage.

The cost half is where teams disagree. Some count only the sending platform bill; others load in design labor, copywriting, image licenses, and allocated headcount. Both are defensible as long as you pick one and hold it. A $36 ROI calculated on platform cost alone isn't comparable to a $12 ROI calculated fully loaded, and mixing the two across quarters is how programs convince themselves they're improving. The DMA's methodology, still the most widely cited, uses a blended cost including software and labor (DMA, 2019).

Revenue is easier to define and much harder to attribute. Direct-click revenue is the clean case: subscriber clicks, buys, attribution sticks. Last-touch, multi-touch, and post-view windows all produce different numbers, sometimes by 3x, and the lookback window you set can materially change the revenue your ESP reports without a single thing changing in the actual business.

If you want a one-line test of whether your number is honest, ask your finance team whether they'd book it. If they wouldn't, you're probably double-counting.

What is the average email marketing ROI?

Across the major published studies, average email marketing ROI sits between $36 and $42 for every $1 spent. Litmus reported $36 per $1 in its most recent industry survey (Litmus, 2024). The DMA's Marketer Email Tracker has historically reported £42 per £1 in its UK sample (DMA, 2019). HubSpot's 2024 State of Marketing survey found 56% of marketers saying email delivers their highest ROI of any channel (HubSpot, 2024).

Those headlines mask an enormous spread. The same Litmus study puts the top quartile above $70 per $1 and the bottom quartile below $15; that's a 4-5x gap between good and mediocre programs inside one benchmark. Average is almost never where you want to be.

Two caveats worth naming. The DMA figure, the famous one, hasn't been formally refreshed since 2019, and writers still quote it as if it were current; treat it as a historical ceiling rather than a 2026 average. Litmus is the most recent serious ROI-specific study, which is why $36 is the honest present-day benchmark.

How do you calculate email marketing ROI?

The formula is straightforward:

ROI = (Revenue from email − Cost of email program) / Cost of email program

Expressed as a ratio:

ROI ratio = Revenue from email : Cost of email program

A worked example. An ecommerce brand spends $850 in a month ($299 on the sending tool, $300 on a part-time designer, $251 allocated for internal copy time) and attributes $24,600 in revenue to email. ROI is ($24,600 − $850) / $850 = 27.9, or roughly $28.94 per $1. That's below the Litmus average, which is useful information; it's in the same universe, with obvious room to move.

On the cost side, the honest list runs: platform fees, list acquisition costs (paid traffic to a lead magnet, popup tools, giveaways), labor for copy and design and QA and deliverability work, deliverability tooling such as inbox placement tests, asset licensing for stock and fonts and illustration, and integration costs where you allocate them. You don't need to carry every allocation forever; you need a definition that stays still quarter to quarter.

On the revenue side, count direct email-attributed purchases, assisted conversions inside your chosen window, reactivated revenue from win-back flows, and lifetime value uplift from retention campaigns. That last one is where most teams undercount themselves. Retention gains compound multiplicatively rather than adding up, which is why small lifts in customer retention rate show up disproportionately in annual revenue (McKinsey, 2023).

If you'd rather not build the spreadsheet, the email marketing ROI calculator outputs the ratio and payback period from the same inputs. For margin-sensitive businesses, gross profit per email is the more honest number, since revenue ROI on a 20% margin product flatters you badly.

How email compares to other channels

Email consistently outperforms paid search, paid social, display, and organic social on return per dollar. The reasons are structural (owned audience, low marginal cost, repeat reach), and the gap has been stable across studies for over a decade. HubSpot's 2024 survey ranked email first among marketers asked to name their highest-ROI channel, ahead of organic search and paid social (HubSpot, 2024).

Two honest caveats on that table. These are public-benchmark ranges rather than audited first-party numbers, so treat them as orientation; some B2B SaaS teams see paid search well above $8 per $1, and some consumer brands see Meta outperform email in raw scale, though rarely in efficiency. Second, ROI isn't the only axis. Paid channels scale faster; email scales cheaper. You want both, not a purity argument. Our breakdown of email vs social media ROI goes deeper on the comparison, and the customer acquisition cost calculator is the right tool if you're comparing channels on acquisition rather than return.

The gap is structural rather than tactical, which is why it has survived a decade of everything else changing. Three things compound, and the levers that improve your own number map directly onto them.

You own the audience. Buying a Facebook ad rents attention; sending an email uses a permission asset you already hold. That permission cost something to acquire, but once it's on your list you can reach that subscriber at near-zero marginal cost for years. Statista estimated roughly 4.48 billion email users globally in 2024, rising toward 4.89 billion by 2027 (Statista, 2024); more importantly, that reach is portable. If Instagram throttles you tomorrow, your list still works.

Cost per send falls as the list grows. Sending 100,000 emails costs little more than sending 10,000 on most platforms, so the denominator stays roughly flat while the numerator scales. Almost every paid channel's cost scales linearly with impressions or worse.

And automation does the heavy lifting. This is the lever separating $15-per-$1 programs from $70-per-$1 ones. Omnisend's 2024 benchmark found automated emails drive 41% of all email orders while accounting for just 2% of sends (Omnisend, 2024). Flow revenue is close to pure margin, because the flow runs whether or not anyone on your team shows up that week.

How to improve email marketing ROI

Three levers determine the number: send fewer emails that don't arrive, send more that are relevant, and send more that are triggered rather than scheduled. Every credible playbook reduces to some combination of those.

Fix deliverability first

If your mail isn't landing, nothing downstream matters. A 25% inbox placement rate cuts your effective list by three quarters before anyone writes a subject line.

In priority order: authenticate properly, starting with our SPF, DKIM, and DMARC guide if those are new; warm any new sending domain before you blast a full list; prune disengaged subscribers, because inactive contacts drag reputation down; and watch your spam complaint rate, where Google Postmaster Tools flags you above 0.1%.

For programs sitting below $20 per $1, deliverability is usually the single biggest available lever, and it's the one nobody wants to own.

Segment, then personalize past the first name

Segmented campaigns outperform unsegmented ones on both opens and clicks; the ROI math follows directly, since a higher click rate at the same send cost raises the numerator against a flat denominator.

Start with three segments if you have none: engaged (opened in the last 30 days), lapsing (30-90 days), and dormant (90+). Treat them as three audiences with three different jobs. RFM, purchase-category, and lifecycle-stage models come later; the biggest single jump is almost always from no segmentation to any segmentation at all.

First-name merge tags stopped moving revenue years ago. What still works is product-level, behavior-level, and lifecycle-stage personalization: last-viewed product in the hero, location-aware store hours in the footer, category-specific product blocks, time-zone-aware scheduling. Each is boring alone; stacked, they move conversion rate meaningfully.

Automate the high-intent moments

This is where the 2%-of-sends, 41%-of-orders figure lives. Build in this order: a welcome series firing on signup (the welcome swipe file has openers worth adapting), cart abandonment at 1h / 24h / 72h, browse abandonment on the same logic one step shallower, a post-purchase series covering thank-you and usage and cross-sell and review request, a win-back on a 60 or 90-day inactivity trigger, and date-based sends for birthdays and renewals.

If you have none of these, the welcome series pays back fastest. If you already have them, cart abandonment is usually the biggest next move; the abandoned-cart swipe file and the cart abandonment rate calculator will tell you what recovering another two points is worth before you build anything. Our ecommerce email flows map the full sequence set, and the automation guide covers the build.

Cut the tail, then watch the right metrics

Most programs carry a long tail of sends that cost the same as everything else and earn almost nothing: newsletters to a fully dormant segment, third-send nudges cannibalizing the first, promotional blasts to people who only ever buy at 40% off. Killing the bottom 15% of send volume usually improves blended ROI without touching revenue. It's the most underrated move in the playbook and the hardest to get approved, because volume feels like effort.

Then measure what predicts ROI rather than what's easy to screenshot. Opens, clicks, and unsubscribes are the surface. Revenue per recipient is the single best proxy if you only watch one number; revenue per email, list growth rate, and churn-adjusted lifetime value fill in the rest. Our breakdown of email marketing metrics covers which to track at which list size.

A/B test the levers that move revenue rather than the ones that move opens. Subject-line tests are easy and rarely change downstream dollars; CTA placement, offer structure, and send timing do. The A/B testing guide covers test design and sample size, and the A/B test calculator handles the significance math.

Which benchmarks to compare against

Use industry-specific benchmarks rather than a blended global average. Ecommerce averages differ from SaaS, which differs from nonprofit, and the spread between verticals is often wider than the spread between good and bad programs inside one vertical. Our benchmarks break out by industry, with dedicated views for ecommerce and B2B SaaS.

Compare yourself against your vertical's 75th percentile, not the median. The median is where most programs sit; the 75th is where yours becomes a competitive advantage. For the wider statistical picture, our email marketing statistics roundup is updated quarterly.

One note on attribution windows, because it explains most inexplicable gaps between two companies' reported ROI. A 1-day last-click window understates email's contribution; a 30-day multi-touch window overstates it. Pick a defensible middle, most teams land on a 5-7 day click plus 1-day view, and then leave it alone. Whether the number trends up matters more than the number.

Calculating ROI when you can't attribute individual sends

Plenty of businesses can't tie revenue to a specific email, and they don't need to in order to get a usable number.

Start by tagging every email link with UTM parameters and pulling revenue from your analytics or commerce platform. If per-send attribution still isn't possible, go aggregate: total email-channel revenue divided by total email-program cost over the same window. It's less precise and still directionally correct, which is enough to tell you whether the program is worth expanding. What it can't do is tell you which campaign to kill, so treat aggregate ROI as a budget argument rather than an editorial one.