2026 Email Marketing Benchmarks by Industry: The Complete Reference [Updated March 2026]
Think your 31% open rate is bad? It depends on your industry — Religion hits 55.71%, Travel sits at 30.10%, and all of those numbers are inflated by 15-20 points anyway. This is the complete 2026 benchmark reference: 10 tables covering open rates, CTR, RPR, deliverability, regional data, SMS vs. email, AI impact, and send times — sourced from 183K+ brands and 3.6M campaigns. Bookmark it and stop Googling "average email open rate" every quarter.
Every benchmark table you need — by industry, flow type, region, and channel. The definitive reference for email marketers in 2026.
Key Findings
- Automated flows outperform campaigns by 13-18x on revenue metrics across all industries
- Religion (55.71%) and Hobbies (53.25%) lead open rates; Travel (30.10%) trails
- Legal (4.90%) and Manufacturing (4.22%) dominate CTR; Politics (0.83%) and Beauty (0.95%) trail
- Gmail inbox placement dropped to 53.7% — nearly half of marketing emails miss the primary inbox
- Oceania leads regional engagement (46.34% open rate); Asia-Pacific trails (19.14%)
This is the comprehensive benchmark reference for email marketing in 2026. All data is sourced from Klaviyo (183,000+ brands), MailerLite (3.6 million campaigns from 181,000+ accounts), Omnisend, GetResponse, Mailchimp, Litmus, and the Validity Deliverability Report. Bookmark this page — we update it quarterly.
Important caveat: Open rates across all tables are inflated by Apple Mail Privacy Protection (49% of opens) by an estimated 15-20 percentage points. Use them for relative comparison between industries, not as absolute performance targets. For context on this inflation, read: Are Email Open Rates Dead in 2026?
This post is part of our 2026 Email Marketing Benchmarks series.
Table 1: Campaign Benchmarks by Industry
Source: MailerLite 2025-2026, 3.6M campaigns, 181,000+ accounts
| Industry | Open Rate | CTR | CTOR | Unsub Rate |
|---|---|---|---|---|
| Religion | 55.71% | 2.95% | — | 0.13% |
| Hobbies | 53.25% | 3.30% | 8.45% | 0.24% |
| Non-profit | 52.38% | 2.90% | 8.24% | 0.18% |
| Art Gallery & Museum | 50.43% | — | — | 0.33% |
| Artist | 49.23% | — | — | — |
| Government | 48.52% | 3.05% | 8.44% | — |
| Coaching | 48.07% | — | — | 0.30% |
| Health & Fitness | 47.81% | — | — | 0.30% |
| Creative Services/Agency | 47.69% | — | — | — |
| Sports | 47.69% | 1.27% | 3.35% | — |
| Consulting | 45.96% | — | — | — |
| Agriculture & Food | 45.51% | — | — | — |
| E-commerce | 44.78% | 1.07% | 4.01% | ~0.22% |
| Insurance | 44.40% | — | 3.19% | — |
| Higher Education | 43.98% | — | 9.15% | 0.10% |
| Medical/Dental/Healthcare | 43.75% | — | — | — |
| Business & Finance | 43.34% | — | — | — |
| Retail | 37.47% | 1.27% | — | — |
| Manufacturing | 37.36% | 4.22% | 14.82% | 0.30% |
| Marketing & Advertising | 37.23% | — | — | 0.15% |
| Telecommunications | 37.21% | — | — | 0.34% |
| Computers & Electronics | 35.29% | — | — | — |
| Publishing Company | 34.24% | — | 9.12% | — |
| Travel & Transportation | 30.10% | — | — | 0.13% |
What this means: Industries with passionate, self-selected audiences (Religion, Hobbies, Non-profit) lead on open rates. Industries with high-stakes, actionable content (Legal, Manufacturing) lead on CTR. Visual/browse-heavy industries (E-commerce, Beauty, Retail) have low CTR because subscribers consume content without clicking through.
Table 2: Ecommerce Campaign Benchmarks by Sector
Source: Klaviyo 2026, 183,000+ brands
| Sector | Open Rate | Click Rate | Placed Order Rate | RPR |
|---|---|---|---|---|
| Clothing & Accessories | 33.1% | 1.80% | 0.17% | $0.12 |
| Food & Beverage | 32.5% | 1.75% | 0.18% | $0.16 |
| Health & Beauty | 31.8% | 1.60% | 0.15% | $0.10 |
| Sporting Goods | 31.2% | 1.90% | 0.16% | $0.13 |
| Automotive | 30.5% | 1.65% | 0.14% | $0.16 |
| Mass Merchant | 28.7% | 1.45% | 0.12% | $0.09 |
| Overall Average | 31% | 1.69% | 0.16% | $0.11 |
| Top 10% | 45.1% | 3.99% | 0.36% | $0.97 |
What this means: The gap between average and top 10% is enormous — top performers earn 9x more RPR per campaign. Improving from average to top 10% is worth more than any industry switch.
Table 3: Automated Flow Benchmarks by Flow Type
Source: Klaviyo 2026, Omnisend 2025-2026
| Flow Type | Open Rate | CTR | Conversion Rate | Avg RPR | Top 10% RPR |
|---|---|---|---|---|---|
| Welcome Series | ~50% | 23.33% | ~3% | $2.65 | $21.18 |
| Abandoned Cart | 39.07% | 23.33% | 10.7% | $3.65 | $28.89 |
| Browse Abandonment | ~35% | ~8% | ~2% | $1.50 | $12.30 |
| Post-Purchase | ~65% | 12% | 6.8% | $0.85 | $7.40 |
| Back-in-Stock | ~45% | 18% | 6.46% | $0.70 | — |
| Win-Back | ~30% | ~5% | ~1.5% | $0.65 | $5.80 |
| Birthday | ~45% | ~12% | — | — | — |
| Overall Flows | 38-42% | 5.58% | 2.11% | $1.94 | $16.96 |
What this means: Abandoned cart flows generate the highest RPR ($3.65 avg, $28.89 top 10%) but welcome series may be the most undervalued — Jennings notes they can triple RPME compared to routine campaigns. Birthday emails produce $744.37 average order value (4x normal). One in two welcome/abandoned cart clickers makes a purchase.
For implementation guidance: Email Automation vs. Campaigns: Why Flows Generate 18x More Revenue
Table 4: Campaigns vs. Flows — Side-by-Side Comparison
Source: Klaviyo 2026
| Metric | Campaigns | Automated Flows | Flow Advantage |
|---|---|---|---|
| Open Rate | 31% | 38-42% | 1.3x |
| Click Rate | 1.69% | 5.58% | 3.3x |
| Placed Order Rate | 0.16% | 2.11% | 13.2x |
| RPR (Revenue Per Recipient) | $0.11 | $1.94 | 17.6x |
| Top 10% RPR | $0.97 | $16.96 | 17.5x |
| Revenue per email (Omnisend) | $0.18 | $2.87 | 15.9x |
| Share of send volume | ~98% | ~2% | — |
| Share of email revenue | ~63% | ~37% | — |
What this means: Flows outperform campaigns by 13-18x on revenue metrics while using just 2% of send volume. This is the single most important strategic insight in email marketing — automation should receive proportionally more investment than most teams allocate.
Table 5: Deliverability Benchmarks
Sources: Validity 2026, Mailchimp, MailerLite
| Metric | Benchmark | Notes |
|---|---|---|
| Email delivery rate | 98.16% | Server acceptance (not inbox) |
| Average inbox placement | 83-85% | 1 in 6 emails never reaches inbox |
| Gmail inbox placement | 53.70% | Down from 58.72% in Q1 2024 |
| Corporate email placement | <51% | B2B severely affected |
| DMARC adoption (top 10M domains) | 18.2% | Shockingly low |
| DMARC enforcement | 7.6% | Even lower |
| Spam complaint max threshold | 0.3% | Google/Yahoo enforcement |
| Spam complaint target | <0.10% | Recommended |
Bounce Rate Benchmarks by Industry
| Industry | Soft Bounce | Hard Bounce |
|---|---|---|
| Daily Deals | 0.06% | 0.28% |
| Religion | 0.08% | 0.33% |
| E-commerce | 0.12% | 0.45% |
| Retail | 0.14% | 0.48% |
| Sports | 0.15% | 0.52% |
| Real Estate | 0.26% | 0.71% |
| Education | 0.23% | 0.80% |
| Telecom | 0.50% | 1.31% |
| Software/Web Apps | 0.49% | 1.37% |
Bounce Rate Targets
| Metric | Safe | Warning | Danger |
|---|---|---|---|
| Hard bounces | <0.3% | 0.3-0.5% | >0.5% |
| Soft bounces | <1% | 1-1.5% | >1.5% |
| Total | <1.5% | 1.5-2% | >2% |
What this means: Deliverability is the foundation. No optimization matters if emails don't arrive. Gmail specifically is getting harder — fewer than 54% of marketing emails reach the primary inbox. Full authentication (SPF, DKIM, DMARC) is table stakes.
For the full deliverability analysis: Email Deliverability in 2026
Table 6: Regional Benchmarks
Source: DotDigital, MailerLite 2025-2026
| Region | Open Rate | CTR | Notes |
|---|---|---|---|
| Oceania | 46.34% | 2.35% | Highest engagement globally |
| Europe | 41.20% | 2.10% | Strong GDPR-compliant engagement |
| North America | 39.80% | 1.95% | Largest market, moderate engagement |
| Latin America | 35.60% | 1.70% | Growing market |
| Asia-Pacific | 19.14% | 1.09% | Lowest — different email culture |
What this means: Regional differences are significant. A 19% open rate for APAC audiences is normal, not a crisis. Send-time optimization by region can lift opens 12-15%. Benchmark against your specific region, not global averages.
Table 7: SMS vs. Email — Head-to-Head
Sources: Omnisend, Sakari, DotDigital
| Metric | SMS | Winner | |
|---|---|---|---|
| Open rate | 90-98% | 28-39% | SMS |
| Click-through rate | 6-35% | 2-3.8% | SMS |
| Conversion rate | 21-30% | 12-15% | SMS |
| Response rate | 45% | ~6% | SMS |
| Time to read | 90% in 3 min | 90 min avg | SMS |
| ROI | $21-71/$1 | $36-42/$1 | Email (consistency) |
| Unsubscribe rate | 1.5-3.5% | 0.08-0.22% | Email (10-15x lower) |
| Frequency tolerance | 1/week | Daily OK |
What this means: SMS dominates on engagement metrics. Email dominates on sustainability and ROI consistency. Combined channel use increases CLV by approximately 30%.
For the full comparison: SMS vs. Email Marketing in 2026
Table 8: AI Impact on Email Metrics
Sources: HubSpot, Litmus, Knak, McKinsey
| AI Application | Measurable Impact |
|---|---|
| Subject line optimization | +22% open rates |
| A/B test optimization (AI) | +49% open rates |
| Send-time optimization | +15-23% open rates |
| 1:1 personalization at scale | +82% conversion rates |
| AI-powered campaigns overall | +41% revenue |
| CTR improvement | +13% |
| Multivariate test accuracy | +22% vs. traditional A/B |
| Inbox placement (AI spam detection) | 94.1% |
| Pre-send prediction accuracy | 81.4% |
| ROI per $1 on AI personalization | $8.70 |
AI Adoption Rates
| Metric | Rate |
|---|---|
| US marketers using gen AI | 70% |
| Using AI for email copy | 34% |
| AI image creation increase (YoY) | 340% |
| Teams needing 2+ weeks per email | 6% (down from 62%) |
What this means: AI improves virtually every metric, with personalization (+82% conversion) and send-time optimization (+15-23% opens) offering the highest returns. But the sameness risk is real — when everyone optimizes with the same AI tools, the advantage commoditizes.
For the full analysis: AI Email Marketing in 2026
Table 9: Mobile vs. Desktop Engagement
Sources: Litmus, Genesys Growth
| Metric | Mobile | Desktop | Webmail |
|---|---|---|---|
| Share of opens | 47-60% | 10-29% | ~29% |
| Average read time | 9.7 sec | 13.2 sec | — |
| Click-through rate | 2.6% | 3.4% | — |
| Median reply time | 28 min | Longer | — |
| Conversion quality | Lower | Higher | — |
Device Preferences by Generation
| Generation | Smartphone Primary |
|---|---|
| Gen Z | 67% |
| Millennials | 59% |
| Gen X | ~45% |
| Boomers | ~30% |
What this means: Mobile captures first engagement; desktop captures conversions. 93% of marketing emails are mobile-optimized, and responsive design increases clicks by 15%. Optimize for mobile viewing but ensure the conversion path works on desktop.
Table 10: Best Send Times
Sources: MailerLite, Omnisend 2025-2026
By Day of Week
| Day | Open Rate | Click Rate |
|---|---|---|
| Friday | 49.72% | 8.09% |
| Monday | 49.44% | 7.20% |
| Tuesday | 49.30% | 7.84% |
| Wednesday | 48.90% | 7.60% |
| Thursday | 48.50% | 7.40% |
| Saturday | ~45% | ~5.80% |
| Sunday | ~44.80% | ~5.50% |
By Time of Day
| Time Window | Best For | Why |
|---|---|---|
| 8-11 AM | Opens | Morning inbox clearing |
| 10 AM | All-around reliability | Peak professional attention |
| 3-4 PM | Clicks | Afternoon decision-making |
| 8-9 PM | Conversions | Evening shopping behavior |
| Friday 6 PM | High-value campaigns | Weekend spending mindset |
What this means: Friday leads on both opens and clicks, but midweek differences (Tue-Thu) are small enough to be noise. The 8 PM time slot showed a surprise 59% open rate. AI send-time optimization (+15-23%) outperforms any fixed schedule.
How to Use These Benchmarks
Do
- Compare to your own historical data first — your trend matters more than industry averages
- Benchmark by email type — compare flows to flow benchmarks, campaigns to campaign benchmarks
- Track quarter-over-quarter movement — improving or declining matters more than absolute numbers
- Segment by audience — B2B vs. B2C, new vs. established, high-value vs. standard
- Use as starting baselines — then set targets based on your specific program
Don't
- Use open rates as absolute performance targets — MPP inflates them 15-20 points
- Compare campaign CTR to flow CTR — they're fundamentally different (3.3x gap)
- Benchmark a DTC brand against SaaS averages — industry context matters enormously
- Trust single-source data — cross-reference across Klaviyo, MailerLite, Omnisend, etc.
- Ignore the gap between reported and real — bot clicks, dark opens, and attribution inflation all widen it
Why Benchmarks Can Be Misleading
The Gap Between Reported and Real
- MPP inflation: Open rates sit 15-20 points higher than reality
- Bot clicks: Security scanners and AI crawlers inflate CTR — 3M+ bot clicks/day at peak
- Attribution inflation: Last-click gives email 100% credit for multi-touch journeys
- Survivorship bias: Benchmark reports use data from ESP customers — brands that invest in email, not the full market
- Average vs. distribution: The "average" hides enormous variance — top 10% perform 9-18x better than average
The right mindset: benchmarks are the floor, not the ceiling. Use them to identify whether you're drastically underperforming. Then set targets based on your own historical improvement trajectory.
Related: Are Email Open Rates Dead? | Email Attribution Is Broken
Methodology
Data Sources and Collection
| Source | Sample Size | Time Period |
|---|---|---|
| Klaviyo | 183,000+ brands | 2025-2026 |
| MailerLite | 3.6M campaigns, 181,000+ accounts | 2025-2026 |
| Omnisend | Ecommerce merchants | 2024-2025 |
| GetResponse | Customer base | 2025 |
| Mailchimp | Enterprise and SMB | 2025 |
| Validity | Deliverability monitoring | 2025-2026 |
| DotDigital | Global campaigns | 2025-2026 |
All benchmark data is aggregated across each platform's customer base. Differences between sources reflect different customer compositions (e.g., Klaviyo skews ecommerce; MailerLite skews SMB/creator). Cross-referencing multiple sources provides a more complete picture than relying on any single report.
Frequently Asked Questions
What is a good email open rate by industry in 2026?
It varies enormously: Religion (55.71%), Hobbies (53.25%), and Non-profit (52.38%) lead, while Travel (30.10%), Publishing (34.24%), and Computers/Electronics (35.29%) trail. All numbers are inflated by Apple MPP — subtract 15-20 points for estimated real engagement.
What is the average email CTR by industry?
The all-industry average is 1.7-2.1% for campaigns. Legal (4.90%), Manufacturing (4.22%), and Media (4.10%) lead. E-commerce (1.07%), Beauty (0.95%), and Politics (0.83%) trail. Automated flows average 5.58% — always compare flows to flow benchmarks.
How do email benchmarks differ by region?
Oceania leads globally (46.34% open rate, 2.35% CTR). Europe (41.20%, 2.10%), North America (39.80%, 1.95%), and Latin America (35.60%, 1.70%) follow. Asia-Pacific trails significantly (19.14%, 1.09%) due to different email culture and platform usage patterns.
How much better are automated flows than campaigns?
Flows outperform campaigns on every metric: 1.3x open rate, 3.3x CTR, 13.2x conversion rate, 17.6x RPR. Flows generate 37% of email revenue from just 2% of send volume.
How often are these benchmarks updated?
This reference page is updated quarterly with fresh data from our primary sources. Last update: March 2026.
Sources
- Klaviyo 2026 Email Marketing Benchmarks (183,000+ brands)
- MailerLite 2025-2026 Benchmarks (3.6M campaigns, 181,000+ accounts)
- Omnisend 2025-2026 Ecommerce Marketing Report
- GetResponse Email Marketing Benchmarks
- Mailchimp Email Marketing Benchmarks
- Validity 2026 Deliverability Benchmark Report
- DotDigital Global Benchmark Report 2026
- Litmus State of Email Reports 2025-2026
- HubSpot Email Marketing Statistics 2026
Published by Geysera | March 2026 | Updated quarterly
This is the reference companion to our pillar guide: Email Marketing Benchmarks 2026: Open Rates, CTR, and What They're Not Telling You