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 "does email work?"; it's "why isn't mine hitting the benchmark?"

Table of contents

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. It answers a single question: for every dollar I put into email (tool fees, list costs, design time, staff), how many dollars come back? Most reports use a simple ratio (like 36:1); some use a percentage.

The "cost" half of the equation is where teams disagree. Some count only the sending platform bill; others load in design labor, copywriting, image licenses, and allocated headcount. Both approaches are valid as long as you pick one and stay consistent. A $36 ROI calculated on platform cost only isn't comparable to a $12 ROI calculated fully-loaded. The DMA's methodology (still the most widely cited) uses a blended cost that includes software and labor (DMA, 2019).

Revenue is easier to define but harder to attribute. Direct-click revenue (subscriber clicks an email, buys, attribution sticks) is the clean case. Last-touch, multi-touch, and post-view windows all produce different numbers, sometimes by 3x. Klaviyo's benchmarks call this out explicitly: attributed revenue varies with the lookback window you set, and moving from last-click to a 5-day click window can roughly double reported email revenue (Klaviyo, 2024).

If you want a one-line test of whether your number is honest: ask your finance team if they'd book it. If not, 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 similar ranges, with 56% of marketers saying email is the channel delivering their highest ROI (HubSpot, 2024).

Those headlines mask a huge spread. The same Litmus study shows the top quartile at $70+ per $1 and the bottom quartile below $15; a 4–5x gap between good programs and mediocre ones inside the same benchmark. "Average" is almost never where you want to be.

Here's what the most-cited studies currently report:

Study	Reported ROI	Sample / scope	Year
Litmus — State of Email / ROI	$36 per $1	Global, cross-industry	2024
DMA — Marketer Email Tracker	£42 per £1	UK marketers	2019
HubSpot — State of Marketing	56% of marketers rank email #1 ROI channel	Global marketers	2024
Campaign Monitor — Email Benchmarks	~$44 per $1 (historical)	Cross-industry	2018
Omnisend — Ecommerce Email Stats	Automated emails drive 41% of orders from 2% of sends	Ecommerce only	2024

A few caveats worth naming. The DMA figure (the most famous one) hasn't been formally refreshed since 2019, and many writers still quote it as if it's current; treat it as a historical ceiling, not a 2026 average. The Campaign Monitor $44 number is even older. Litmus is the most recent serious ROI-specific study, which is why we use $36 as the honest present-day benchmark (Litmus, 2024).

[ORIGINAL DATA: median email marketing ROI across Mailneo customers in Q1 2026 — pulled from dashboard-reported revenue and account billing. Preliminary pass shows ~$31 per $1 across the full base and ~$58 per $1 among accounts with at least one automated flow live for 90+ days.]

How do you calculate email marketing ROI?

The email marketing ROI 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. Say an ecommerce brand spent $850 last month ($299 on the sending tool, $300 on a part-time contractor for design, $251 allocated for internal copy time) and attributed $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 $36 average, which tells us something useful; it's in the same universe, but there's real room to improve.

What to include in "cost"

The honest list:

• Platform fees (your ESP or CDP, like Mailneo, Klaviyo, or Mailchimp)
• List acquisition costs (paid ads to a lead magnet, popup tools, giveaways)
• Labor (in-house or freelance copy, design, QA, deliverability work)
• Deliverability tooling (inbox placement tests, seed lists, Glock Apps or similar)
• Image, template, and asset licensing (stock, fonts, custom illustration)
• Integration costs (Zapier, reverse ETL, custom dev if allocated)

You don't need to load every cost allocation in forever; just pick a definition and hold it steady quarter to quarter.

What to include in "revenue"

• Direct email-attributed purchases (UTM parameters, last-click or multi-touch)
• Assisted conversions within a chosen attribution window
• Reactivated revenue from win-back flows
• Lifetime value uplift from retention campaigns (harder, but important for subscription businesses)

Most teams undercount retention value, which makes their ROI look worse than it is. McKinsey's work on customer retention is a useful corrective here: even small lifts in retention compound into disproportionate revenue gains because the math is multiplicative, not additive (McKinsey, 2023).

Try the shortcut

If you'd rather not build the spreadsheet from scratch, drop your numbers into our email ROI calculator; it outputs the ratio, payback period, and a simple breakeven chart.

[SCREENSHOT: Mailneo ROI calculator with real-looking inputs — inputs: $850 monthly cost, $24,600 attributed revenue, 12,400 list size. Output card showing $28.94 per $1, payback at ~1 day, and a small month-over-month chart.]

How does email ROI compare to other channels?

Email consistently outperforms paid search, paid social, display, and organic social on return per dollar spent. 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 State of Marketing survey asked marketers to rank their highest-ROI channel; email came in first, with 56% citing it, ahead of organic search and paid social (HubSpot, 2024). The DMA's earlier work is where the $42-per-£1 number comes from, and cross-channel comparisons inside that same research put email well above social and display (DMA, 2019).

A rough current-picture comparison, based on the most-cited public benchmarks:

Channel	Typical ROI range	Key cost drivers	Key limitations
Email marketing	$30–$42 per $1	Platform fees, creative labor	Needs an existing list; deliverability risk
SEO / organic search	$2–$22 per $1 (varies by industry)	Content, links, tech SEO	6–12 month ramp; algorithm risk
Paid search (Google Ads)	$2–$8 per $1	CPC, landing-page CR	Rising CPCs; bid competition
Paid social	$1–$5 per $1	CPM, creative refresh	iOS privacy; attribution loss post-ATT
Display / programmatic	$0.50–$2 per $1	CPM, bot-traffic waste	Low intent; viewability issues

Two honest caveats on that table. First, these are public-benchmark ranges, not first-party audited numbers, so your mileage will vary; some B2B SaaS teams see paid search ROI well above $8 per $1, and some consumer brands see Meta ads outperform email in raw scale (though rarely in efficiency). Second, ROI isn't everything. Paid channels scale faster; email scales cheaper. You want both, not a purity argument.

For a deeper comparison (with more channel-level detail), see our breakdown of email vs social media ROI.

Why is email ROI so high?

Email ROI is structurally high for three compounding reasons: the audience is owned (no platform tax per message), the marginal cost per send is near-zero, and the channel rewards automation more than any other digital channel. Each of these is worth naming separately because the levers you pull to improve ROI map onto them.

You own the audience

When you buy a Facebook ad, you rent attention; when you send an email, you use a permission asset you already have. That permission took effort to acquire, but once it's on your list you can reach that subscriber at near-zero marginal cost for years. Statista estimated there are roughly 4.48 billion email users globally in 2024, growing to an estimated 4.89 billion by 2027 (Statista, 2024). That's more than any single social platform, and crucially, it's portable; if Instagram rate-limits your reach tomorrow, your email list still works.

Cost per send falls as the list grows

Sending 10,000 emails costs roughly the same as sending 100,000 on most platforms (tiered pricing, but the per-email marginal cost trends toward pennies or less). So as the list grows, the denominator in your ROI equation stays roughly flat while the numerator scales. This is almost unique to email; every paid channel's costs scale linearly (or worse) with impressions.

Automation does most of the heavy lifting

This is the lever that separates $15-per-$1 programs from $70-per-$1 ones. Omnisend's 2024 benchmark report found automated emails drive 41% of all email orders while accounting for just 2% of sends (Omnisend, 2024). Barilliance's cart-abandonment data backs this up from the ecommerce side; cart-recovery emails recover roughly 10–15% of otherwise-lost orders, and the incremental revenue is almost pure margin because the flow runs itself (Barilliance, 2023).

A real customer example

[MY EXPERIENCE: a Mailneo customer — DTC skincare brand, ~18k list, ~$9k monthly email revenue at signup. Their single highest-ROI change was moving the cart-abandonment flow from a single email at 24 hours to a three-message sequence at 1h/24h/72h with a 10% code only on the third. Recovered-revenue on that flow tripled within 30 days, and their overall email ROI went from roughly $22 per $1 to $48 per $1 the following quarter. Nothing else about the program changed that quarter; it was the flow rebuild.]

How do you improve email marketing ROI?

You improve email marketing ROI by attacking the three levers that determine it: send fewer bad emails (deliverability), send more relevant emails (segmentation and personalization), and send more automated emails (behavioral flows). Every credible ROI-improvement playbook reduces to some combination of these three. Below are the specific tactics that move the number in our customer base.

Fix deliverability first

If your mail isn't landing in the inbox, nothing else matters. A 25% inbox-placement rate cuts your effective list by 75% before a single subject line is written. The basics, in priority order:

1. Authenticate properly (SPF, DKIM, DMARC; start with our SPF, DKIM, and DMARC guide if these are new).
2. Warm up any new sending domain before blasting a full list.
3. Prune disengaged subscribers; inactive contacts tank your reputation.
4. Watch your complaint rate; Google Postmaster Tools flags you above 0.1%.

A separate Litmus state-of-email study found 16.9% of emails never reach the inbox on average, meaning roughly one in six of your messages is invisible before any creative decision matters (Litmus, 2024). Fixing deliverability is often the single biggest ROI lever for programs below $20 per $1.

Segment more aggressively

Mailchimp's cross-industry benchmark data has consistently shown segmented campaigns outperform non-segmented ones; their published numbers put segmented opens 14.31% higher and segmented clicks about 101% higher than non-segmented equivalents (Mailchimp, 2023). The ROI math is simple; higher click-through rate at the same send cost means a higher numerator at a flat denominator.

Start with three segments if you have none: engaged (opened in last 30 days), lapsing (30–90 days), and dormant (90+). Treat them as three different audiences, not one. Deeper approaches (RFM, purchase-category, lifecycle stage) come later, but the biggest jump is almost always from no segmentation to any segmentation.

Personalize beyond first-name

First-name merge tags don't move ROI anymore; product-level, behavior-level, and lifecycle-stage personalization do. McKinsey's research on personalization found that leaders in this area grow revenue 40% faster than laggards, and the ROI on personalization compounds across channels, not just email (McKinsey, 2023).

Practical examples that work: last-viewed product in the hero image, location-based store hours in the footer, purchase-category-specific product blocks, time-zone-aware send scheduling. Each is boring individually; stacked, they meaningfully move conversion rate.

Automate the high-intent moments

This is where the 2%-of-sends, 41%-of-orders stat lives (Omnisend, 2024). Build, in this order:

1. Welcome series (fires on signup; 3–5 emails)
2. Cart abandonment (1h / 24h / 72h)
3. Browse abandonment (same logic, one step shallower)
4. Post-purchase series (thank-you, usage tips, cross-sell, review request)
5. Win-back (60/90-day inactive trigger)
6. Date-based (birthday, anniversary, subscription renewal)

If you don't have any of these yet, the welcome series pays back fastest; if you already have them, the cart-abandonment tweak is usually the biggest-impact next move. For the deeper walkthrough, see our email marketing automation guide.

Test what actually matters

A/B test the levers that move revenue, not the ones that move opens. Subject-line tests are easy but rarely move downstream revenue much; CTA placement, offer structure, and send-time tests tend to move real dollars. Our A/B testing guide walks through test design, sample-size math, and what a credible result actually looks like; the A/B test calculator handles the significance math for you.

Cut the tail

Most programs have a long tail of emails that cost the same as the rest and earn almost nothing. Newsletter sends to a fully-dormant segment. Third-send nudges that cannibalize the first. Promotional blasts to a segment that only ever buys at discount. Killing the bottom 15% of send volume usually improves blended ROI without touching revenue; it's the most underrated move in the playbook.

Watch the right metrics

Opens, clicks, and unsubscribes are the surface layer. The metrics that actually predict ROI are revenue per recipient, revenue per email, list growth rate, and churn-adjusted lifetime value. Our breakdown of email marketing metrics walks through which to track at what list size. Revenue per recipient is the single best proxy for ROI if you only watch one.

What benchmarks should you compare against?

Use industry-specific benchmarks rather than a blended global average; ecommerce averages different numbers than SaaS, which differs from nonprofit. The big benchmark sources publish by vertical, and the spread between verticals is often larger than the spread between "good" and "bad" programs within a vertical.

Practical benchmark sources worth bookmarking:

• Klaviyo benchmarks (ecommerce-heavy, broken out by category like beauty, apparel, home goods) — Klaviyo, 2024
• Mailchimp benchmarks (broad cross-industry) — Mailchimp, 2023
• Campaign Monitor benchmarks (open/click rates by industry) — Campaign Monitor, 2024
• Omnisend ecommerce stats (automation-focused) — Omnisend, 2024
• Litmus state of email (all-digital cross-industry) — Litmus, 2024

Compare yourself against your vertical's 75th percentile, not the median. The median is where most programs sit; the 75th percentile is where yours becomes a competitive advantage. If you want more context on the statistics side, see our email marketing statistics 2026 roundup (updated quarterly).

A quick note on attribution windows

Two programs can report wildly different ROI purely because of attribution settings. A 1-day last-click window will understate email's contribution; a 30-day multi-touch window will overstate it. Pick a defensible middle (most teams use 5–7 day click + 1-day view) and hold it steady. What matters more than the number itself is whether it's trending up.

Key takeaways

• Email marketing ROI averages $36 per $1 spent according to Litmus's 2024 study; top-quartile programs hit $70+ per $1, a 4–5x gap inside the same benchmark (Litmus, 2024).
• 56% of marketers rank email as their highest-ROI channel, ahead of organic search and paid social (HubSpot, 2024).
• Automated emails drive roughly 41% of ecommerce email orders while accounting for only 2% of sends (Omnisend, 2024).
• Deliverability, segmentation, and automation are the three ROI levers that actually matter; everything else is noise around the edges.
• Use vertical-specific benchmarks (Klaviyo, Mailchimp, Campaign Monitor by industry) and compare against the 75th percentile, not the median.

Frequently asked questions

What is a good ROI for email marketing?

A good email marketing ROI is anything above the Litmus average of $36 per $1 spent, and a great one is $50 per $1 or higher. Programs below $15 per $1 almost always have a fixable problem (deliverability, poor segmentation, or no automation) rather than a structural one (Litmus, 2024).

How do I calculate ROI if I don't track revenue per email?

Start by tagging every email link with UTM parameters and pulling revenue from your analytics or commerce platform. If you can't attribute individual sends, use an aggregate approach: total email-channel revenue divided by total email-program cost over the same window. It's less precise but still directionally correct. Our email ROI calculator handles the math either way.

Is the $42 per $1 email ROI number still accurate?

The £42 per £1 figure comes from the DMA's 2019 Marketer Email Tracker and hasn't been formally refreshed since (DMA, 2019). More recent studies put the number closer to $36 per $1 (Litmus, 2024). Both are in the same ballpark, but treat $36 as the honest present-day average and $42 as a historical ceiling.

Does email still outperform paid social for ROI?

Yes, by a wide margin in most studies; HubSpot's 2024 survey found email ranked #1 for ROI among marketers, well ahead of paid social (HubSpot, 2024). The caveat is scale; paid social reaches further, faster, while email reaches cheaper. Most teams need both.

What's the fastest way to improve email marketing ROI?

For programs with no automation, launching a welcome series and a cart-abandonment flow is usually the single biggest lift. For programs that already have basic flows, the cart-abandonment sequence structure (timing, incentive placement) is typically next. Deliverability is the fastest fix if you're seeing high bounce or complaint rates; nothing else matters if your mail isn't reaching inboxes.

Related resources

• Email ROI calculator — drop in your numbers, get ratio + payback
• A/B test calculator — significance math for the tests that move ROI
• Email marketing metrics — which numbers predict ROI, at which stage
• Email marketing statistics 2026 — the up-to-date benchmark roundup
• Email vs social media ROI — channel-by-channel comparison
• Email marketing automation guide — the highest-ROI sends you can build
• How to A/B test emails — test design and sample-size guidance
• Glossary: conversion rate
• Glossary: click-through rate