110 Email Marketing Statistics for Marketers and Creators (2026)

By Jeff Cobb.  Last Updated on September 8, 2026
By / Last Updated On: September 8, 2026
email marketing stats

I have more than 8,000 subscribers on the Learning Revolution email list. Eight thousand people who have given me permission to talk to them directly, whenever I want.

They’re my most valuable marketing asset.

No algorithm change takes that away. No AI Overview sits between us, answering the question before the reader ever reaches me.

So if you coach, consult, sell courses, or build any other kind of knowledge business, take this from my experience. Build your email list from day one. 

It is your most valuable marketing asset, and it gets more critical with every quarter that AI takes over another channel.

For this article I gathered fresh statistics from organizations that ran primary research on email in 2026. I have listed all data sources at the end.

And yea, do share it with your colleagues, friends, employers, and anyone who doubts the effectiveness of email marketing.

Read: The best online course platforms with email marketing features

Like all marketing channels, email is also evolving at a rapid pace. AI, automation, personalization, and reporting are some of the main areas driving change. Here is what the data says you should do about it.

  • Move budget and attention toward automated flows, which earn roughly 18 times more revenue per recipient than broadcast campaigns.
  • Treat AI as a production tool rather than a writing tool, because 88% of teams still edit its output substantially.
  • Take personalization past the merge tag, since 59% of B2B marketers still personalize in only one or two channels.
  • Stop reporting on opens alone and start tying email to revenue and qualified leads, which is what separates high-ROI teams from everyone else.
  • If you run a newsletter, price by your vertical rather than your list size, and launch a paid tier around the six-week mark.

Email Marketing in the AI Age

AI has reached near-universal adoption in email teams. But the interesting finding is how little that changed output quality.

Why? Because most email teams still use AI for drafting only. However, the best email marketers put it to work on automation, personalization, and the production workflow itself.

Let’s look at some stats that reveal the impact of AI on email marketing.

If you want the broader picture on AI adoption beyond email, I keep a separate set of generative AI facts and stats updated alongside this one.

  1. 64% of marketing teams use AI to generate first-draft email or landing page copy.
  2. 88% of teams say AI-generated content needs moderate or substantial editing before it becomes usable.
  3. 36% of B2B marketers use or are actively implementing AI email marketing tools for campaign optimization and personalized email content.
  4. 45% of B2B marketers name AI-powered marketing tools as a top area for increased investment in 2026, ahead of every other category.
  5. Advanced AI adopters are 85% more likely to produce a single email in under an hour.
  6. Advanced AI adopters are twice as likely to report high satisfaction with their team’s performance.
  7. 36% of high-ROI email teams report advanced AI adoption, against 23% of low-ROI teams.
  8. Teams with advanced AI adoption are 75% more likely to earn $45 or more for every $1 they spend on email.
  9. High-ROI teams are twice as likely to expect more than 75% of their email operations to run on AI by the end of 2026.
  10. High-ROI teams improve deliverability through predictive or automated adjustments 40% more often than low-ROI teams.
  11. High-ROI teams automate customer journey and lifecycle email flows 50% more often than low-ROI teams.
  12. AI-powered product recommendations lift average email click rates to 3.75%.
  13. Top performers using AI product recommendations reach 8.79% click rates.
  14. 76% of email teams now deploy an email within three days, compared with 62% who needed two weeks or more in 2024.
  15. 82% of enterprise marketing teams still spend at least half their time on production work rather than strategy, despite that near-universal AI adoption.
  16. 85% of marketing teams missed at least one campaign launch date in the past 12 months, with approvals and sign-off the single biggest cause.

Email Marketing ROI and Business Impact

High-ROI teams measure email differently, and that difference shows up before any tactical change. They report on revenue and qualified leads rather than opens. Bot-driven opens have made engagement metrics unreliable enough that the top performers stopped leading with them. Litmus supplies the ROI figures here, Klaviyo the revenue ones.

  1. The top 8% of email programs earn $45 or more for every $1 they spend.
  2. High-ROI teams name proving ROI and overall business impact as their number one priority for 2026.
  3. Multi-channel attribution and Marketing Qualified Lead (MQL) tracking as email ROI measures rose 22% year over year.
  4. High-ROI teams are 28% more likely to use multi-channel attribution models.
  5. High-ROI teams are 14% more likely to tie email performance to marketing qualified leads.
  6. Automated email flows generate close to 41% of total email revenue from just 5.3% of sends.
  7. Email flows deliver revenue per recipient nearly 18 times higher than broadcast campaigns.
  8. The top 10% of email flows reach $7.79 in revenue per recipient.
  9. Programs earning $45 or more per $1 spent most commonly send newsletters and onboarding emails, and newsletter sending rose 12% in 2026 over 2025.
  10. Warm email lists convert at 2.4% to 5.2%, against 0.2% to 0.8% for cold social media posts
  11. Many five-figure founding-cohort launches happen with fewer than 300 email subscribers

The highest-return email programs lean on newsletters and onboarding, which are the two formats built on relationship rather than promotion. That matches what I see among the edupreneurs I work with, and it argues for treating your email sequences as a product rather than an afterthought.

Email Open Rate Benchmarks

Tracking open rates has become significantly more complex due to Apple Mail Privacy Protection, so interpret these figures with caution.

  1. Marketing emails average a 20.73% open rate once Apple Mail Privacy Protection (MPP) opens come out of the count.
  2. If you count the automatic, artificial “opens” caused by Apple’s privacy settings, the average open rate rises to 33.87%.
  3. The top 10% of senders reach a 44.02% open rate, more than double the average.
  4. Top 10% senders reach 59.89% including MPP opens.
  5. Automation and transactional emails average a 30.63% open rate, roughly 10 points above standard campaigns.
  6. Opted-in newsletters have an average open rate of 41% even as inbox competition grows.

Email Click-Through Rate (CTR) Benchmarks

Email click-through rates (CTR) are among the most critical KPIs for modern email marketing teams. Here are recent figures to help you compare against industry benchmarks.

  1. Marketing campaigns average a 2.27% click-through rate.
  2. The top 10% of senders reach 5.22%, over twice the average.
  3. Automation and transactional emails average a 7.39% click-through rate, more than three times standard campaigns.
  4. Click-to-open rates typically land between 10% and 20% across industries.
  5. Automated flows click at 5.58% against 1.69% for campaigns, more than three times higher.
  6. The top performing 10% of email automation sequences have a click-through rate of 10% or higher..

Unsubscribe Rates and List Health

Unsubscribe rate gives you the earliest warning that something has gone wrong, well before deliverability drops. However, these figures vary among industries.

  1. The average marketing email has an unsubscribe rate of 0.46% (roughly 1 person unsubscribes for every 217 emails sent).
  2. Top-performing brands keep this rate as low as 0.05% (about 1 person unsubscribes for every 2,000 emails sent).
  3. Hospitality and food services has the highest unsubscribe rate at 0.62% (1 in every 161 emails).
  4. Travel, transportation, and tourism follows at 0.55% (1 in every 182 emails).
  5. Real estate and property management sees a rate of 0.52% (1 in every 192 emails).
  6. Government and public administration has the most loyal audience with the lowest unsubscribe rate at 0.20% (1 in every 500 emails).

Email Automation and Flows

Email automation not only boosts productivity but also helps you personalize your mail strategy which results in higher efficiency and user engagement. 

  1. Broadcast campaigns (one-off emails) make up 94.7% of total email volume.
  2. Automated flows make up only 5.3% of all emails sent.
  3. Automated flows are 13 times more effective at driving orders than standard email campaigns.
  4. Nearly half (48%) of all revenue from automated flows comes from new buyers.
  5. By contrast, only 16% of revenue from standard email campaigns comes from new buyers.
  6. Well-designed “cancellation flows” successfully convince 10% to 20% of people trying to unsubscribe to stay.
  7. Automated “dunning” sequences (payment reminders) recover 20% to 40% of failed subscription payments.

Automated flows bring in three times the share of new-buyer revenue that campaigns do, which reframes welcome and abandonment sequences as acquisition tools rather than retention tools. 

Most course creators I talk to have their welcome sequence set to two emails and their broadcast calendar set to weekly. The data says to reverse that emphasis. 

My guide to email marketing best practices covers how to build the sequence itself.

Email Benchmarks by Industry

Industry averages matter more than the global average, because they let you compare yourself against relevant benchmarks.

  1. Government and public administration leads with a 34.19% open rate (about 1 in 3) and a 3.53% click-through rate (about 1 in 28).
  2. Nonprofit and NGO ranks second with a 27.03% open rate (about 1 in 4) and a 3.10% click-through rate (about 1 in 32).
  3. Insurance averages a 25.48% open rate (about 1 in 4) and a 2.36% click-through rate (about 1 in 42).
  4. Energy and utilities averages a 24.72% open rate (about 1 in 4) and a 2.69% click-through rate (about 1 in 37).
  5. Professional services and consulting averages a 22.74% open rate (about 1 in 4) and a 2.20% click-through rate (about 1 in 45).
  6. Education averages a 22.25% open rate (about 1 in 5) and a 2.38% click-through rate (about 1 in 42).
  7. Telecommunications averages a 21.49% open rate (about 1 in 5) and a 2.53% click-through rate (about 1 in 40).
  8. Banking and financial services averages a 21.30% open rate (about 1 in 5) and a 1.87% click-through rate (about 1 in 53).
  9. Media averages a 21.29% open rate (about 1 in 5) and a 3.01% click-through rate (about 1 in 33).
  10. Entertainment averages a 21.26% open rate (about 1 in 5) and a 2.64% click-through rate (about 1 in 38).
  11. Information, technology, and software averages a 20.68% open rate (about 1 in 5) and a 1.88% click-through rate (about 1 in 53).
  12. Marketing, advertising, and communications averages a 19.69% open rate (about 1 in 5) and a 1.98% click-through rate (about 1 in 51).
  13. Retail averages a 16.67% open rate (about 1 in 6) and a 2.31% click-through rate (about 1 in 43).
  14. Ecommerce sits lowest at 15.50% open rate (about 1 in 6) and a 2.15% click-through rate (about 1 in 47).

Education at 22.25% sits comfortably above the 20.73% cross-industry average, which is the number most of you should benchmark against. Notice that education beats information technology and software on both metrics despite far smaller marketing budgets.

Email Benchmarks by Region

Strict opt-in regulations don’t hurt your engagement. In fact, the data proves they actually improve it. Europe leads all other regions in both open and click-through rates precisely because its strict privacy laws force marketers to build genuine, consensual lists. 

If you want a more active and loyal audience, stop buying lists and start earning permission.

  1. Europe leads with a 22.83% open rate (1 in 4 emails) and a 2.27% click-through rate (1 in 44 emails).
  2. Asia-Pacific sees a 17.56% open rate (1 in 6 emails) and a 1.47% click-through rate (1 in 68 emails).
  3. North America sees a 17.32% open rate (1 in 6 emails) and a 1.79% click-through rate (1 in 56 emails).
  4. The Middle East and Africa sees a 17.26% open rate (1 in 6 emails) and a 1.54% click-through rate (1 in 65 emails).
  5. Latin America has lower engagement, with a 14.72% open rate (1 in 7 emails) and a 1.2% click-through rate (1 in 83 emails).
  6. Europe has a 0.51% unsubscribe rate, meaning about 1 in every 196 recipients leaves the list.
  7. Latin America has a 0.23% unsubscribe rate, meaning about 1 in every 435 recipients leaves the list.

Send Frequency and Timing

High ROI teams frequently email their subscribers and make sure they stay on top of their inboxes. 

  1. High-ROI email teams are nearly twice as likely to send marketing emails daily.
  2. Monday and Tuesday consistently record the highest open and click-through rates across most industries.
  3. Saturday and Sunday record the lowest engagement across most industries.
  4. 60% of launch sales land in the final 48 hours of a 7-to-10 email launch sequence

Personalization and B2B Email

With so many data points and Ai automation capabilities, email personalization has not only become easier but also a non-negotiable part of your marketing strategy. Personalized messaging always trumps generic content.

  1. Personalized emails deliver 6x higher conversion rates than generic messages.
  2. Segmented email campaigns drive up to 760% revenue increase compared to generic emails.
  3. 85% of B2B marketers who personalize apply it to email campaigns, far ahead of social media content at 34%, websites and landing pages at 33%, and digital advertising at 31%.
  4. 63% of recipients never respond to non-personalized emails
  5. 89% of B2B marketers say their organizations personalize content.
  6. Personalized subject lines increase email open rates by 26%
  7. Addressing recipients by name increases CTR up to 35%
  8. 59% describe that personalization as basic, meaning one or two channels with minimal integration.
  9. 35% call their personalization moderate, 5% call it extensive, and just 1% call it comprehensive.
  10. Email newsletters rank as the second most effective thought leadership channel at 54%, behind LinkedIn at 76% and ahead of speaking events and webinars at 52%.
  11. 32% of B2B marketers plan to increase investment in owned media in 2026, covering content assets, website, blog, and email.

Newsletter Growth and the Creator Economy

Newsletters became a real revenue category in 2026 rather than a lead-generation tactic. Direct reader payment grew fast while advertising money stayed flat. 

This is why choosing the right email platform is so crucial because it opens up monetization and sponsorship opportunities. 

Read my breakdown of email marketing platforms, my Substack guide and my Kit review if you have not settled on where to publish.

These stats from Beehive give you an idea of what’s possible with newsletters.

  1. Publishers on Beehiiv sent 28 billion emails in 2025.
  2. Those newsletters reached more than 255 million unique readers.
  3. Median time from launch to first dollar earned dropped to 66 days for newsletters started in 2025.
  4. Paid subscription revenue on Beehiiv reached $19 million in 2025, up from $8 million in 2024. That represents 138% growth in a single year.
  5. Beehiiv projects paid subscription revenue will reach $35 million by the end of 2026.
  6. The share of revenue-generating creators earning through paid subscriptions doubled from 15% in Q1 2024 to 30% in Q1 2026.
  7. Annual billing overtook monthly during 2025, after monthly accounted for roughly 70% of subscription revenue at the start of that year.
  8. 58% of creators used emails and newsletters as a part of their marketing and engagement strategy.
  9. 27% of course creators and coaches consider newsletters as the most engaging marketing channel
  10. Podcast guest appearances convert at 3.0% to 6.0% to email opt-in

Paid Newsletter Pricing, Conversion, and Retention

More creators in my circle are launching successful paid newsletters than ever before. And the reason is quite obvious to me. With Ai slop and copy/paste content everywhere, people now genuinely crave authentic expert opinions that are based on real experiences rather than ChatGPT insights.

This is why paid newsletters are thriving.

My guide on how to monetize your email newsletters will provide you additional actionable tips.

  1. The median paid newsletter charges $10 per month and $100 per year, and that price has not moved since 2024.
  2. Investing newsletters charge a median $27 per month and $292 per year.
  3. Travel newsletters charge a median $7 per month and $80 per year, roughly a quarter of what investing publishers charge.
  4. Finance newsletters charge a median $20 per month, business $15, and lifestyle $9.
  5. Median free-to-paid conversion sits at 0.62%, or about six paying readers per 1,000 subscribers.
  6. Sports leads all verticals on median conversion at 1.93%, roughly three times the platform median.
  7. Top-decile conversion ranges from 5.55% in technology to 30.80% in economy, with finance at 20.00% and investing at 18.69%.
  8. Median monthly churn runs from 5.06% in food and drink to 16.67% in money, with the AI vertical at 13.33%.
  9. Estimated subscriber lifetime runs from about 6 months in money to nearly 20 months in food and drink.
  10. Median lifetime value per paid subscriber ranges from $83 in community newsletters to $230 in investing.
  11. The median creator launches a paid tier 45 days after starting their newsletter.
  12. Publishers who treat a paid tier as a separate product rather than a paywall on existing work convert at 5% and above, against 0.3% for those who simply gate what they already publish.

Frequently Asked Questions

Why do email open rate benchmarks vary so widely between reports?

Two reasons drive most of the variation. Apple Mail Privacy Protection registers opens that never happened, so a benchmark including MPP runs about 13 points higher than one excluding it. Sender population matters too. An ecommerce-heavy dataset reports lower opens than an opted-in newsletter dataset covering the same period.

Should I still report open rate to clients or stakeholders?

Report it as a directional signal alongside revenue per email, list churn, and click-through rate. High-ROI teams moved their primary reporting to revenue and qualified leads because bot-driven opens made the number unreliable. Keep tracking opens for trend detection, and stop leading with them.

What counts as real personalization in email?

Anything that changes what the reader sees based on what they did or told you. A first name in a subject line does not qualify, which is the trap 59% of B2B marketers fall into. Segment by behavior, lifecycle stage, or stated interest, then change the offer and the content, not the greeting.

What counts as a good email list size before paid content makes sense?

No minimum exists. At the median 0.62% conversion and $10 per month, 1,000 subscribers earns roughly $62 per month. Your vertical matters more than your list size. A 1,000-subscriber investing newsletter can out-earn a 100,000-subscriber travel newsletter on subscription revenue alone.

Does adding a paid tier hurt engagement among free subscribers?

beehiiv found no evidence that launching a paid tier materially reduced engagement among free subscribers across its dataset. Readers with lower willingness to pay stay on the free tier and their reading habits stay unchanged. You add a revenue layer rather than trade one audience for another.

How much of my email work should AI actually handle?

Drafting, subject line variants, segmentation logic, and send-time optimization all hold up well. Final copy does not. With 88% of teams reporting that AI output needs moderate or substantial editing, plan your workflow around a human editing pass rather than around AI shipping finished emails.

Data Sources

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