What Abandoned Cart Emails Recover and How to Raise the Rate
Klaviyo's 2026 data: abandoned cart emails average $6.77 per recipient. How to define recovery rate, compare like with like, time the sequence and rank tests.
On this page
- How many abandoned carts can an email flow reach?
- Three numbers that all get called recovery rate
- What is the average abandoned cart email benchmark?
- When to send, and how many messages
- A worked recovery calculation
- Which tests raise the rate, in the order we would run them
- Prove the flow against a holdout
- Sources
Most abandoned cart flows get judged by a number nobody defines the same way. "Recovery rate" is the figure people ask about, and we found no primary source that publishes an average recovery rate for abandoned cart emails. The benchmark that exists is revenue per recipient: Klaviyo analyzed more than 110,000 of its customers and, in a post dated October 2, 2026, put the average abandoned cart email flow at $6.77 per recipient, with the top 10% of brands at $13.70. Our position: judge the flow by revenue per recipient against stores with a similar order value, check it against a holdout, and spend your first tests on who enters the flow and when the first message lands.
How many abandoned carts can an email flow reach?
Any abandoned cart email recovery rate is capped by the pool the flow can reach, and most best practices that improve conversion either widen that pool or reach it at a better moment. The Baymard Institute calculates an average cart abandonment rate of 70.22%, an unweighted average of 50 studies published between 2006 and 2025, on a page updated October 28, 2026.
Baymard's latest study of abandonment reasons found that 42% of US online shoppers have abandoned a cart because they were "just browsing / not ready to buy." Set that group aside and the remaining reasons are led by extra costs that were too high (shipping, tax, fees) at 40%, delivery that was too slow at 20%, and not trusting the site with card details at 19%, while an unsatisfactory returns policy sits further down the list at 13%. A reminder email can answer those objections. It can only reach shoppers whose address you already hold, which is why we review triggers and capture before copy.
Three numbers that all get called recovery rate
| Metric | What it counts | What it divides by | Level |
|---|---|---|---|
| Recovery rate | Emailed checkouts later completed, with or without a click | Abandoned checkouts emailed | Whole flow |
| Placed order rate | Unique recipients with an order attributed to the message | Delivered messages | Each message |
| Revenue per recipient | Revenue attributed to the message | Delivered messages | Each message or the flow |
The first row follows the help center at Shopify: "After an email is sent, the checkout is considered recovered after the customer completes the order," and the customer "can either click the recovery link in the email or complete the checkout on their own." That count includes people who never opened the message.
The other two rows come from the analytics glossary at Klaviyo, which divides unique recipients with an attributed order, or attributed revenue, by delivered messages. Attribution is last touch by default, and new accounts get default windows of 5 days for email opens and 5 days for email clicks, per the attribution article from Klaviyo. That article links a guide for removing bot clicks and Apple privacy opens from attribution, worth doing before you trust any of these figures.
So a three-email flow has three placed order rates, and any single flow "conversion rate" is someone's own arithmetic. Revenue per recipient folds in order value, so a store selling $250 sofas beats one selling $40 candles without recovering more carts. All three include shoppers who would have bought anyway. And a delivered email can still sit in spam, so inbox placement belongs on the same dashboard.
What is the average abandoned cart email benchmark?
The abandoned cart email benchmark people quote as a recovery rate average is, in the primary data we found, a revenue figure. The 2026 Klaviyo post reports:
| Abandoned cart flow | Average | Top 10% |
|---|---|---|
| Email revenue per recipient | $6.77 | $13.70 |
| Email click rate | 6.0% | 11.3% |
| Text revenue per recipient | $4.48 | $8.69 |
| Text click rate | 10.3% | 18.5% |
The same post puts the welcome series at $5.75 per email recipient and browse abandonment at $2.08, so abandoned cart earns the most per recipient of the email flows it covers. It reports no open rate or placed order rate.
The more useful table is a benchmarks reference from Klaviyo, updated October 8, 2026, built from data aggregated across thousands of Klaviyo customers. It gives 25th and 75th percentile revenue per recipient for abandoned cart emails by annual revenue and average order value. For stores with $1M to $5M in annual revenue:
| Average order value | 25th percentile | 75th percentile |
|---|---|---|
| $44–$83 | $1.12 | $3.03 |
| $83–$112 | $2.39 | $5.86 |
| $112–$163 | $3.86 | $8.63 |
| $163–$291 | $6.00 | $16.40 |
| $291+ | $13.97 | $60.48 |
A flow earning $3.00 per recipient sits near the top of the range for a $60 average order and below the 25th percentile for a $200 one. Wider channel figures are in our email marketing statistics.
When to send, and how many messages
In the sources we found, abandoned cart email recovery benchmarks for timing and sequence in 2025 and 2026 come from the ecommerce email platforms' own best practices documentation more than from independent studies, and the two Klaviyo sources we read agree on timing. The setup guide from Klaviyo, updated October 7, 2026, states that "sending 2–3 abandoned cart messages in your flow leads to optimal performance."
| Step | Timing | Content |
|---|---|---|
| Triggers | A Started Checkout flow, plus a separate Added to Cart flow that excludes anyone who started checkout | Two flows for two levels of intent |
| Message 1 | 2–4 hours after checkout starts; the pre-built flow uses 4 hours; at least 1 hour 15 minutes if shortened | Cart reminder, no coupon |
| Message 2 | 20–48 hours later; the blog example sends a text after 24 hours | Follow-up, with a discount in the blog example |
| Message 3 | After 48 hours in the blog example | Final message; the guide holds any coupon for this step, and the blog example uses product picks or a feedback ask |
| Exit rule | Every step | Placed Order zero times since starting this flow |
The floor exists because, outside Shopify and BigCommerce, Klaviyo may not sync Started Checkout data immediately, and "Some integrations sync once every hour," so a shorter delay can fire before the checkout event arrives. The guide says "we don't encourage you to include a coupon in the first email," and suggests holding one for the final email or for people who have never purchased. On Shopify's native automation you choose the delay, and the help center lists cases where the email is skipped, such as a store that doesn't ship to the customer's address. Our note on timing Klaviyo flows covers which delay settings to use.
A worked recovery calculation
This hypothetical store uses assumed inputs for illustration: 6,000 started checkouts a month from shoppers with a known email, 600 of whom buy before the 4-hour delay and are filtered out, a $110 average order value, and annual revenue between $1M and $5M.
| Message | Delivered (assumed) | Placed order rate (assumed) | Attributed orders |
|---|---|---|---|
| Email 1 at 4 hours | 5,400 | 4.0% | 216 |
| Email 2 at 24 hours | 5,000 | 2.0% | 100 |
| Email 3 at 48 hours | 4,800 | 1.0% | 48 |
| Flow total | 15,200 | 364 |
Attributed revenue is 364 × $110 = $40,040, so revenue per recipient is $40,040 ÷ 15,200 = $2.63. Assume 70 more emailed shoppers complete checkout with no attributed open or click. A Shopify-style recovery rate is then (364 + 70) ÷ 5,400 = 8.0%.
An 8.0% recovery rate sounds healthy and placed order rates of 4.0%, 2.0% and 1.0% sound weak. At $2.63 per recipient the flow sits just above the 25th percentile of $2.39 for an $83–$112 order value in Klaviyo's $1M to $5M band, which tells this store it has room to grow.
Now add a holdout. If entrants randomly kept out of the flow complete checkout at 3.0% in the same window (also assumed), the lift is 5.0 points: 270 orders and $29,700 a month on 5,400 emailed shoppers.
Which tests raise the rate, in the order we would run them
We rank tests by how much of the pool each one touches.
- Coverage. Add an Added to Cart flow beside Started Checkout, which Klaviyo recommends, with a "Started Checkout zero times since starting this flow" filter so nobody receives both.
- First-message timing. Test the 4-hour default against a shorter delay above the 1 hour 15 minute floor. It touches every recipient of the first message, the step with the largest audience.
- The cost objection. Extra costs led Baymard's list at 40%, so show the full total with shipping, a delivery date and the returns policy beside the cart.
- Discount placement. Keep the first email coupon-free and test a final-message incentive against one offered only to first-time buyers. The Klaviyo benchmark post warns that discounts "can also work against you by training shoppers to wait for a discount before buying."
- Text messages. Once email is clean, add SMS for shoppers who consented; Klaviyo puts abandoned cart text at $4.48 per recipient on average.
- Message count. Test whether a third message pays for itself.
Score each test on revenue per recipient and per-message placed order rate, with click rate as a diagnostic. Keep open rate out of the decision; our piece on subject line test metrics after Apple MPP explains why.
Prove the flow against a holdout
Every benchmark number above is attributed, meaning credit assigned by a rule. With last touch and a 5-day window on opens, a shopper who opened the reminder and bought on day three because payday arrived counts as recovered. A random holdout is the cleanest way we know to see what the flow adds, and our guide to holdout tests for email covers sizing and readout. Check the sending domain first with our email deliverability checker, since a flow landing in spam looks like a weak offer in every metric. Teams that want the program built and run can talk to our lifecycle and demand generation group. The flow worth scaling is the one with a measured lift over its holdout.
Sources
- Baymard Institute: cart abandonment rate research and reasons for abandonment (updated Oct 28, 2026)
- Klaviyo: 2026 Abandoned Cart Benchmark Report (Oct 2, 2026)
- Klaviyo: Benchmarks for flow emails reference (updated Oct 8, 2026)
- Klaviyo: How to create an abandoned cart flow (updated Oct 7, 2026)
- Klaviyo: Analytics glossary (updated Jan 27, 2026)
- Klaviyo: Understanding Klaviyo message attribution (updated Mar 10, 2026)
- Shopify: Recovering abandoned checkouts