FIELD REPORT / ANALYTICS PETE DEVKOTA
Analytics

Email Marketing Benchmarks for Ecommerce: What Good Actually Looks Like in 2026

Industry-average benchmarks are misleading post-iOS 15. Here are the metrics that actually matter in Klaviyo and what good looks like by flow type.

Pete Devkota

Founder, emailOptimize · 20 October 2025 · 6 min read

Table of contents

Most email benchmark reports are useless for ecommerce. They aggregate data across B2B, non-profit, publishing, and retail, then publish an “average open rate” that tells you nothing about whether your Klaviyo account is performing or leaking money. Worse, post-iOS 15 open rate data is irretrievably corrupted for any program with significant iPhone traffic.

Before diving into the benchmarks: the channel-level context matters. Email marketing averages $36 in revenue for every $1 spent (multiple industry sources including Litmus and DMA), and brands that actively use email analytics see 43% higher ROI than those that don’t (Litmus). 75% of US emails are opened on smartphones, which shapes everything from template design to send timing. The benchmarks below exist to help you capture that potential, not just measure against an average.

Here’s how to benchmark your program accurately in 2026, using the metrics that Klaviyo actually tracks, against the numbers that matter for ecommerce.


Why Open Rates Are No Longer a Performance Metric

Apple’s Mail Privacy Protection (MPP), rolled out in September 2021, pre-fetches email content for Apple Mail users regardless of whether they actually open the message. This inflates open rates by 10–40% depending on your audience’s device mix.

If your list skews heavily toward iPhones (most consumer DTC brands have 50–70% Apple Mail users), your reported open rates are an overcount. A “45% open rate” in Klaviyo could be a real 25% open rate with 20% phantom opens from MPP pre-fetching.

What this means in practice:

  • Do not use open rate as your primary engagement metric for deliverability decisions
  • Do not set flow filters based on “opened email in last X days.” You’ll include non-engaged subscribers who triggered MPP pre-fetching
  • Do not benchmark your program against industry open rate averages. They are equally inflated

Use click rate instead. Clicks are human-generated and cannot be faked by privacy proxies. A click means a human tapped or clicked. Open rates are noise; click rates are signal.


The Metrics That Actually Matter for Ecommerce Email

These are the five numbers to track in Klaviyo’s reporting dashboard, and the ones to use when evaluating program health:

1. Revenue Per Recipient (RPR) The single most important metric. Divide total email-attributed revenue by total emails delivered. Klaviyo calculates this natively in the campaign and flow dashboards. A healthy ecommerce program runs $0.08–$0.15 RPR on campaigns and $0.50–$2.00+ RPR on high-intent flows like abandoned cart. Anything below $0.05 on campaigns indicates segmentation or offer problems.

2. Click Rate The engagement metric that survived iOS 15. For campaigns: 1.5–3% is good for a well-segmented list. Below 1% suggests a segmentation or content relevance problem. Above 3% means your content is genuinely resonating. Protect what’s working.

For flows: click rates are higher by nature (higher-intent moments), so benchmark separately by flow type.

3. Placed Order Rate Found in Klaviyo’s campaign reporting under “Conversions.” This is the percentage of delivered emails that resulted in a purchase within your attribution window (typically 5-day click, 1-day open; adjust the open window given MPP). Target 0.5–2% for campaigns, 3–8% for high-intent flows.

4. Flow Revenue as a Percentage of Total Email Revenue A healthy Klaviyo account generates 30–50% of its email revenue from flows (automation) rather than campaigns. Klaviyo’s ecommerce benchmark data puts this in sharp relief: flows generate roughly 41% of total email revenue from just 5.3% of sends. The efficiency gap is enormous: flows generate 30× more revenue per recipient than campaigns ($3.65 RPR vs $0.11 RPR). Automation open rates reinforce this: 40.55% for flows versus 26.64% for standard campaigns. If your flow revenue is below 20%, your automation is underbuilt. If it’s above 60%, your campaigns may be underperforming or too infrequent.

5. List Growth Rate vs. Churn Rate Net list growth (new subscribers minus unsubscribes minus bounces) matters more than gross additions. A program adding 1,000 subscribers a month while churning 1,100 is shrinking. Track this monthly in Klaviyo’s list growth report under Analytics > Benchmarks.


Benchmarks by Flow Type

Welcome Series

The welcome series is your highest-RPR flow and the clearest indicator of first-impression quality. For stores with an AOV between $100–$200, Klaviyo’s ecommerce benchmark data shows a welcome series RPR of $3.34, meaningfully above the general flow benchmark of $0.80–$1.50. If you’re in that AOV range and not hitting $3.00+, the series is underperforming.

MetricBelow benchmarkAt benchmarkAbove benchmark
Email 1 open rate*Under 45%45–60%60%+
Email 1 click rateUnder 5%5–10%10%+
Series conversion rate (purchase within 7 days)Under 10%15–20%25%+
RPR (series)Under $0.50$0.80–$1.50$2.00+

*Open rates included here with the caveat that MPP inflation applies. Use click rate as the more reliable signal.

A welcome series converting below 10% usually has one of three problems: the offer isn’t compelling enough, the series is too long and loses momentum, or the brand story isn’t connecting. Start by auditing Email 1 and Email 3. They carry the most weight.

Abandoned Cart Flow

Abandoned cart is the most commercially important flow for most ecommerce brands. The average cart abandonment rate is approximately 70%. Most of your potential buyers are leaving before they complete a purchase. Industry data consistently shows abandoned cart email flows recovering 12–18% of carts that would otherwise be lost (a recovery rate of 20%+ is considered excellent). Klaviyo’s benchmark data shows the average abandoned cart open rate at 50.5%, placed order rate at 3.33%, and RPR at $3.65, with the top 10% of senders achieving $28.89 RPR.

MetricBelow benchmarkAt benchmarkAbove benchmark
Email 1 open rate*Under 35%40–55%55%+
Email 1 click rateUnder 8%10–20%20%+
Flow recovery rate (orders / abandoned sessions)Under 8%12–18%18%+
RPR (flow)Under $1.00$1.50–$3.00$3.00+

If your recovery rate is below 8%, check three things: flow timing (Email 1 should send within 1 hour of abandonment), offer (is there a reason to come back?), and suppression logic (are you sending to people who already bought from a different device?).

Post-Purchase Flow

Post-purchase flows don’t drive immediate revenue. They drive repeat purchase rate and LTV. Benchmark accordingly.

MetricTarget
Email 1 open rate*50–65% (highest in any flow; customer just bought)
Review request click rate5–12%
Cross-sell click rate (Email 2–3)4–8%
60-day repeat purchase rate (flow-attributed)12–20%

The 60-day repeat purchase rate is the metric that matters here. If fewer than 12% of first-time buyers make a second purchase within 60 days, your post-purchase flow is either missing or the product experience has problems that email can’t fix.

Win-Back Flow

Win-back flows target subscribers who haven’t engaged in 90–180 days. Expectations are low, but a well-structured win-back can reactivate 5–15% of a dormant segment.

MetricTarget
Open rate*8–20% (highly variable by list hygiene)
Click rate2–6%
Reactivation rate (purchase within flow)5–10%
Unsubscribe rateHigher than average (expected)

The reactivation rate on win-back is not a failure metric. If you’re reactivating 8% of dormant subscribers, that’s a significant revenue recovery on what would otherwise be a dead segment. The other 92% who don’t re-engage should be suppressed. Keeping them on your active list degrades deliverability for everyone else.


Campaign Benchmarks

Campaign benchmarks are harder to generalise because they depend heavily on segmentation. A campaign sent to your full list performs very differently from one sent to your engaged 90-day segment. Always note which segment you’re benchmarking against.

The segmentation gap between high-revenue stores and smaller ones is stark: $10M+ stores average 134 active segments in Klaviyo; sub-$100K stores average just 13. That 10× difference in segmentation depth is a major driver of the RPR gap between those tiers. More segments means more relevance, more relevance means better engagement, better engagement means better deliverability. It compounds.

Email also punches hard at the revenue level that matters most: it contributes an average of 27% of total store revenue in Q4, rising to approximately 33% for stores doing $10M+ annually. BFCM is the peak of Q4. Your segmentation work now is what captures that revenue then.

Audience segmentClick rate targetPlaced order rateRPR
Full list0.8–1.5%0.3–0.8%$0.04–$0.08
90-day engaged2–3.5%0.8–1.5%$0.08–$0.18
VIP / high-AOV2.5–4%1.5–3%$0.20–$0.50+
Win-back segment1–2%0.3–0.6%$0.03–$0.07

If your engaged-segment campaigns are hitting click rates below 1.5%, the problem is almost always content relevance: the right offer sent to the wrong segment, or the wrong offer sent to the right one. Pull your top 3 campaigns by RPR and look for patterns in what they offered and who they targeted.


How to Find These Numbers in Klaviyo

Klaviyo’s Analytics dashboard (Analytics > Benchmarks): Provides account-level metrics including list growth, campaign open and click rates, and flow revenue percentage. Updated daily.

Flow reporting: Go to Flows, click into any flow, and select “Analytics” to see email-level open rate, click rate, placed order rate, and revenue. RPR requires manual calculation: flow revenue / delivered emails.

Campaign reporting: Every sent campaign has a dedicated analytics panel showing opens, clicks, orders placed, and revenue. Use the “Compare” function to stack campaigns against each other.

Custom reporting: Klaviyo’s custom reports (Analytics > Custom Reports) let you build segment-level revenue attribution over time, useful for measuring welcome series or post-purchase flow performance across a 90-day cohort.


What to Do If You’re Below Benchmark

Don’t try to fix everything at once. Work in priority order:

  1. Fix abandoned cart first. It’s the fastest path to revenue recovery. If your recovery rate is below 8%, add a 1-hour Email 1 if you don’t have it, and make sure Email 2 (sent at 24 hours) has an incentive.

  2. Audit your welcome series. Low welcome series conversion is a first-impression problem. Rewrite Email 1 to deliver the offer immediately and set clear expectations for what’s coming.

  3. Tighten your campaign segmentation. Send your next 4 campaigns to your 90-day engaged segment only. Compare RPR to your last 4 full-list campaigns. The difference will tell you how much your full-list sends are costing you in deliverability and revenue per send.

  4. Build or repair win-back. If you have no win-back flow and 20%+ of your list hasn’t engaged in 6 months, you have a deliverability timebomb. Build a 3-email win-back flow and suppress non-responders.

The numbers don’t lie. But they also don’t explain themselves. Use these benchmarks as diagnostic tools, not report cards.


Sources

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