The US E-Commerce Email Benchmark Report: What Good Actually Looks Like
Every marketing dashboard has email metrics. Few brand owners know what those numbers actually mean β whether they represent a program thatβs performing well, underperforming, or heading toward a deliverability crisis.
This benchmark report cuts through vague industry averages to give you specific, actionable benchmarks for US e-commerce brands in 2026 β broken down by metric type, by industry vertical, and with context for what factors most influence where your numbers will fall.
A Critical Caveat Before the Numbers
Apple Mail Privacy Protection (MPP) makes open rates unreliable as an absolute metric. Since iOS 15 launched in 2021, Apple Mail pre-fetches email content, causing opens to be recorded regardless of whether a subscriber actually reads the email. For most US e-commerce brands, 40β55% of their list uses Apple Mail on iOS devices.
This means your reported open rate includes a large number of βphantom opensβ from Apple Mail users. If youβre seeing unusually high open rates (above 45β50%), MPP inflation is likely the cause.
How to account for this:
- Use click rate, click-to-open rate (CTOR), and revenue per email sent (RPE) as your primary performance metrics
- For open rates, compare trends over time rather than absolute values (the relative change is still meaningful)
- If available, segment your open rate reporting by client type (Apple Mail vs. Gmail vs. others) in Klaviyo
With that context, here are the 2026 benchmarks.
Core Email Metrics: US E-Commerce Benchmarks
Open Rate (Campaign Emails)
| Performance Tier | Open Rate Range |
|---|---|
| Below average | < 18% |
| Average | 18β27% |
| Good | 27β35% |
| Excellent | 35β45%+ |
Note: These figures are MPP-inflated for brands with significant Apple Mail usage. If youβre on Klaviyo and can see client breakdowns, compare your non-Apple Mail open rates to these benchmarks. A βgoodβ non-Apple Mail open rate is typically 22β30%.
What moves open rate up:
- Clean, engaged list (suppress inactive contacts)
- Personalized subject lines
- Consistent sender name that subscribers recognize
- Strong preview text optimization
- Sending from a custom authenticated domain
What depresses open rate:
- Large percentage of unengaged contacts in send audience
- Deliverability issues (landing in Promotions or Spam)
- Over-sending to the same audience without varied content
- Inconsistent βFromβ name that subscribers donβt recognize
Click Rate (Campaign Emails)
| Performance Tier | Click Rate Range |
|---|---|
| Below average | < 0.8% |
| Average | 0.8β1.5% |
| Good | 1.5β2.5% |
| Excellent | 2.5β4%+ |
Click rate is the most honest engagement metric because it requires deliberate action. MPP doesnβt inflate clicks.
What moves click rate up:
- Single, clear CTA per email (multiple CTAs dilute click rate)
- Highly relevant, targeted content (segmented sends outperform blast sends by 50β80%)
- Mobile-optimized design (over 55% of US e-commerce email clicks happen on mobile)
- Product images that are visually compelling and appropriately sized
- Urgency or scarcity elements that drive action
What depresses click rate:
- Long email copy before the CTA (top-of-email CTA consistently outperforms buried CTAs)
- Irrelevant content for the send audience
- Too many links competing for attention
- Weak CTA copy (βClick hereβ vs. βShop the collectionβ vs. βGet your 15% off nowβ)
Click-to-Open Rate (CTOR)
CTOR = Clicks / Opens Γ 100
CTOR is your best measure of email body performance, isolating how often someone who opened your email then clicked through.
| Performance Tier | CTOR Range |
|---|---|
| Below average | < 5% |
| Average | 5β8% |
| Good | 8β12% |
| Excellent | 12β18%+ |
CTOR is less affected by MPP than open rate because itβs calculated as a ratio. However, MPP inflation of the denominator (opens) will artificially lower CTOR for brands with high Apple Mail usage. Adjust interpretation accordingly.
Unsubscribe Rate
| Performance Tier | Unsubscribe Rate (per send) |
|---|---|
| Below average (concerning) | > 0.5% |
| Average | 0.2β0.5% |
| Good | 0.1β0.2% |
| Excellent | < 0.1% |
High unsubscribe rates on individual sends are an early warning sign β either the content was irrelevant for the send audience, or the frequency is too high. Monitor this per-send, not just as an average.
Red flag: If a specific campaign type (e.g., all promotional discounts) consistently generates higher unsubscribes than your content emails, your promotional frequency may be too high relative to your content frequency.
Spam Complaint Rate
| Performance Tier | Spam Complaint Rate |
|---|---|
| Danger zone | > 0.30% |
| Warning | 0.10β0.30% |
| Acceptable | 0.05β0.10% |
| Excellent | < 0.05% |
Google and Yahoo enforce a 0.10% spam complaint threshold for bulk senders. Exceeding this consistently triggers inbox placement penalties. Monitor this in Google Postmaster Tools, not just in Klaviyo (Klaviyoβs complaint data is incomplete because many complaint signals happen at the ISP level and arenβt reported back to ESPs).
Bounce Rate
| Performance Tier | Hard Bounce Rate |
|---|---|
| Concerning | > 2% |
| Acceptable | 0.5β2% |
| Good | 0.2β0.5% |
| Excellent | < 0.2% |
Hard bounces above 2% indicate list quality issues β old or invalid addresses in your active sending pool. Klaviyo automatically suppresses hard bounces, but if youβre seeing high bounce rates, it means youβre sending to contacts who should have been removed before they even reached send status.
Flow-Specific Benchmarks
Flows have higher engagement rates than campaigns because theyβre triggered by behavior β the subscriber has already demonstrated intent.
Welcome Series
| Metric | Average | Good | Excellent |
|---|---|---|---|
| Open rate (Email 1) | 40β50% | 50β65% | 65%+ |
| 7-day conversion rate (subscriber to buyer) | 2β4% | 6β10% | 10β15% |
| Revenue per recipient | $3β6 | $8β14 | $15+ |
Abandoned Cart Flow
| Metric | Average | Good | Excellent |
|---|---|---|---|
| Open rate (Email 1) | 35β45% | 45β55% | 55%+ |
| Recovery rate (abandoned to purchased) | 5β8% | 12β18% | 18β25% |
| Revenue per recipient | $12β20 | $22β35 | $35+ |
Post-Purchase Flow
| Metric | Average | Good | Excellent |
|---|---|---|---|
| 90-day repeat purchase rate | 15β20% | 25β35% | 35β45% |
| Review submission rate | 3β6% | 8β14% | 15%+ |
| Cross-sell conversion rate (Email 4) | 1β2% | 3β5% | 6%+ |
Win-Back Flow
| Metric | Average | Good | Excellent |
|---|---|---|---|
| Reactivation rate (lapsed to buyer) | 4β8% | 10β15% | 18β25% |
| Open rate (Email 1) | 15β20% | 22β30% | 30%+ |
Industry-Specific Benchmarks
Email performance varies significantly by vertical. Here are realistic open and click rate benchmarks by US e-commerce category:
Beauty and Skincare
- Open rate: 22β32%
- Click rate: 1.2β2.2%
- Email revenue share (top performers): 35β45%
- Notes: High repurchase frequency makes replenishment flows particularly high-value. Reviews in email body significantly boost CTOR.
Supplements and Health
- Open rate: 24β34%
- Click rate: 1.5β2.5%
- Email revenue share (top performers): 35β42%
- Notes: Educational content drives above-average engagement. Subscription offers embedded in post-purchase flows generate 20β30% subscription conversion rates for top performers.
Apparel and Fashion
- Open rate: 19β28%
- Click rate: 0.9β1.8%
- Email revenue share (top performers): 28β38%
- Notes: Visual quality drives CTOR. Product photography standards in email directly impact click rates. New season launch flows are particularly high-revenue events.
Home Goods and Furniture
- Open rate: 20β30%
- Click rate: 0.8β1.6%
- Email revenue share (top performers): 25β35%
- Notes: Longer consideration cycles mean browse abandonment and multi-step consideration flows are especially valuable. Average order value is higher, so even lower conversion rates generate meaningful revenue.
Pet Products
- Open rate: 25β35%
- Click rate: 1.4β2.4%
- Email revenue share (top performers): 32β42%
- Notes: High brand loyalty makes post-purchase sequences and loyalty programs very high-ROI. Replenishment flows for consumable pet products (food, treats, supplements) see above-average conversion rates.
Food and Beverage (DTC)
- Open rate: 23β33%
- Click rate: 1.2β2.0%
- Email revenue share (top performers): 30β40%
- Notes: Subscription conversion is a primary email goal. Win-back flows are particularly important given the high frequency of competitive alternatives.
Revenue Share Benchmarks
Email revenue as a percentage of total e-commerce revenue:
| Performance Tier | Email Revenue Share |
|---|---|
| Underperforming | < 15% |
| Average | 15β22% |
| Good | 22β30% |
| Top performer | 30β45% |
These figures are consistent across categories for brands using a full email program (7+ flows, regular segmented campaigns). Brands that generate 30β45% email revenue share universally share the same characteristics:
- All 7 core flows live and optimized
- 10+ active segments governing campaign eligibility
- 8β14 campaigns per month (targeted, not blasted)
- Clean list with regular hygiene practices
- A/B testing program generating continuous improvements
ESP Performance Considerations
Your ESP affects deliverability and therefore engagement metrics. For US e-commerce:
Klaviyo: The dominant platform for US Shopify brands. Native Shopify integration, strong deliverability, best-in-class flow logic. Brands on Klaviyo with proper setup consistently outperform the same brand on a less integrated ESP.
Omnisend: Strong Shopify integration with better built-in SMS capabilities than Klaviyoβs base plan. Slightly lower deliverability reputation than Klaviyo in direct testing, but the gap is closing.
Mailchimp: Adequate for early-stage brands but lacks the behavioral segmentation depth needed to reach the 30%+ revenue share tier. Many brands migrate from Mailchimp to Klaviyo at the $500K+ revenue stage.
Drip: Good for brands with complex behavioral logic requirements but less turnkey Shopify integration than Klaviyo.
Benchmarking Your Program
Pull these reports from Klaviyo and compare against the benchmarks above:
-
Campaign performance report: Filter by last 90 days. Check open rate, click rate, and unsubscribe rate per campaign. Identify outliers (unusually high or low) and investigate causes.
-
Flow performance report: Review each flowβs revenue, open rate, and click rate. Any flow with conversion metrics significantly below benchmark is worth rebuilding.
-
Revenue attribution report: What percentage of total Shopify revenue is attributed to email over last 90 days? How much from flows vs. campaigns?
-
List health metrics: Growth rate (new contacts minus suppressions), current engagement distribution, spam complaint rate in Google Postmaster Tools.
At Excelohunt, we run this benchmark audit for every new client as the foundation of the engagement. In most cases, even well-intentioned email programs have 2β3 metrics that are significantly below benchmark β and closing those gaps is where the revenue opportunity lives.
Stop leaving email revenue on the table. Get a free email audit from Excelohunt β
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