Email Marketing Benchmarks 2026: Open Rates, CTR and Conversion Across B2B and B2C
Quick answer for a creator launch
Use benchmarks as context, not pass/fail targets. Separate a launch broadcast from a welcome or abandonment sequence; compare like audiences and choose a clear outcome such as paid orders or qualified enquiries. Record delivered recipients, unique clickers and outcomes before interpreting a percentage. The original reports below cover vendor customer populations, not a representative sample of creator launches.
Evidence checked 2026-10-06. A report labelled “2026” does not necessarily measure sends made in 2026. This article separates the reporting period, sample and metric denominator, and removes unsupported B2B/B2C averages and earnings forecasts.
What “good” looks like: match the report to your audience
| Original source | Period and population | What it can and cannot tell you |
|---|---|---|
| Omnisend 2026 ecommerce marketing report [1] | Messages sent in 2025. The report covers 150,000 brands and 27 billion emails; it also analyzes SMS and push separately. Those are brand and message counts, not a count of unique readers. | Useful for distinguishing ecommerce campaigns from behavior-triggered automation. It is a platform dataset, not a creator-launch experiment or an industry-wide census. The public methodology does not disclose a precise email revenue attribution window or a causal experiment. |
| Mailchimp email marketing benchmarks [2] | The page explicitly says its data was last updated in December 2023. It describes billions of delivered emails with tracking enabled and self-reported industries, and includes campaigns sent to at least 1,000 subscribers. It does not provide the exact observation dates or exact campaign count. | Historical context only, not fresh 2026 performance. The minimum campaign size makes it a poor direct comparator for a small first-launch list. Mailchimp warns that Apple Mail Privacy Protection can affect measured opens. |
| Klaviyo 2026 email benchmarks [3] | The page states a sample of more than 183,000 customers and an ecommerce focus. The retrieved public page does not state exact send observation dates or the exact eligible email count. | The page distinguishes campaigns and flows. We do not reproduce its headline rates as current creator targets because the public evidence reviewed here does not fully specify their observation period and denominator methodology. |
Do not blend these datasets into an “average for 2026.” Different eligibility rules, industries, tracking settings and averaging methods can change the result. A large dataset is not automatically a matched peer group.
B2B vs B2C: choose a relevant outcome
The original reports reviewed here do not establish a universal B2B/B2C comparison for click rate, conversion or revenue per email. A service enquiry and a downloadable-product order are different outcomes. Compare your own service launches with service launches, and product offers with comparable product offers, rather than using a sector label as a diagnosis.
- Product launch: count paid, non-cancelled orders and declare how refunds are treated.
- Service launch: define a qualified enquiry before sending, then track enquiries, booked calls and closed sales separately.
- Welcome sequence: group recipients by signup cohort and allow the same time to complete the sequence. Do not compare a partial sequence with a completed one.
Revenue measurement without an earnings forecast
Omnisend reports that automations accounted for 2% of email sends and 30% of email-driven revenue in its 2025 ecommerce dataset. The send-share denominator is all email messages in that platform analysis; the revenue-share denominator is email-driven revenue in that analysis, not all store revenue or all industry revenue. The report's overall population is stated above, but it does not disclose a separate eligible sample size for this split. [1]
This is not a majority of email revenue, and it is not evidence that adding automation causes the same result for your list. Triggered messages reach people at different stages of purchase intent. The public methodology does not supply a precise attribution window, so do not treat vendor-attributed revenue as incremental profit. We deliberately omit universal ROI multipliers and dollars-per-email forecasts.
Suggested local measurement definitions: choose and document these for your own sheet; they are not claims about every vendor's calculation.
| Measure | Numerator and denominator | Important limit |
|---|---|---|
| Unique click rate | Unique recipients with a qualifying offer-link click ÷ delivered recipients | Exclude known bot/security-scanner clicks and unsubscribe links where possible. Keep the vendor's filtering setting unchanged. |
| Launch buyer rate | Unique paid buyers linked to the campaign ÷ delivered recipients | Use a declared attribution rule and closing window. Cross-device purchases and untagged visits may be missed. |
| Click-to-buyer rate | Unique paid buyers among qualifying clickers ÷ unique qualifying clickers | Only include buyers linked to that clicker population. This is not the same as orders divided by delivered recipients. |
| Revenue per delivered recipient | Net attributable revenue ÷ delivered recipients | State currency, discounts, tax and refund treatment. It is revenue, not profit, and is not interchangeable with revenue per message sent. |
| Observed campaign return on cost | (Attributable contribution after variable costs − campaign costs) ÷ campaign costs | Declare which labor and software costs are included. Without an incrementality test, label this an attribution-based estimate; if cost is zero, leave the ratio undefined. |
Privacy, automation and clean comparisons
- Use opens cautiously. Mailchimp explicitly warns that Mail Privacy Protection affects open-rate accuracy. An open signal alone does not establish that a person read the offer. [2]
- Separate triggered messages from broadcasts. Omnisend's report analyzes automations and campaigns separately. Keep that distinction in your own launch sheet rather than attributing every difference to copy quality. [1]
- Keep your own comparison stable. Record list source, segment, offer, send date, delivered count, tracking settings and measurement window. Do not call an unmatched before/after change a causal result.
A focused CTA is a test, not a guaranteed lift
For a launch email, try a clearly named primary action that matches the offer landing page. Repeating that same destination is different from adding unrelated offers. We found no verified original experiment supporting the previous claimed click uplift, so there is no promised percentage here. Compare qualifying offer clicks and paid outcomes, not button clicks alone.
A practical launch measurement sheet
Create a row per send or completed sequence cohort. Include campaign ID, segment, acquisition source, offer, send time, delivered recipients, unique qualifying clickers, paid buyers or qualified enquiries, net revenue, costs and window close date. Record the attribution and bot-filtering rules alongside the sheet. Show counts beside rates; for a small launch, a change in a few outcomes can substantially move a percentage.
- If delivery is weak, investigate bounces, permissions and address quality before changing the offer.
- If delivery is stable but qualifying clicks weaken, test the audience–offer match and email message.
- If clicks hold but paid outcomes weaken, inspect landing-page expectations, checkout and pricing.
- If vendor-attributed revenue rises, reconcile it with actual orders and refunds before calling it a profit improvement.
These are investigation paths, not diagnoses inferred from arbitrary industry cutoffs. If you can randomize a comparable audience, change a clearly defined variable and decide the outcome/window before sending. Otherwise label the comparison observational.
FAQ
Are 2026 open rates higher or lower than 2025?
These sources do not establish a comparable year-on-year trend for creator launch lists. Compare your own campaigns using the same audience, tracking settings and reporting window; treat open rates as a diagnostic rather than proof of readership.
Is B2B email still worth the effort in 2026?
Judge it against your own qualified leads, paid orders and costs. The ecommerce reports reviewed here do not support a universal B2B-versus-B2C revenue-per-email comparison.
What's the most reliable lever to improve conversion?
Find the stage losing interested readers: delivery, the offer click, the landing page or checkout. Test a change at that stage while holding the audience and measurement window steady. Automation performance in an observational ecommerce dataset is not a guaranteed lift for a creator launch.
Which single benchmark should a small team watch?
For a paid-product launch, track paid buyers divided by delivered recipients within a declared window, alongside the raw counts. For a service launch, use qualified enquiries instead of purchases. Keep click and delivery diagnostics alongside the outcome so you know where to investigate.
Where to start
Export your most recent comparable launch or completed welcome cohort. Reconcile delivered recipients and qualifying clicks with actual paid orders or qualified enquiries, using a declared window. Pick the weakest stage you can substantiate, make a focused change and retain the original counts for the next comparison. If you are choosing a platform rather than tuning a campaign, use the creator stack planner to narrow the workflow first.
Original report sources
- [1] Omnisend: 2026 ecommerce marketing report (2025 activity)
- [2] Mailchimp: historical industry benchmarks (updated December 2023)
- [3] Klaviyo: 2026 email benchmarks (public-page period not specified)
Sources accessed 2026-10-06. Figures describe the publishers’ stated samples, not guaranteed creator earnings. Editorial measurement definitions above are suggested local conventions, not a harmonized vendor benchmark.