10 min read · Ecommerce Growth · Last updated July 2026
Quick answer: A 4-email win-back sequence, starting 60 days after a customer’s last purchase, reactivates 5–15% of lapsed customers — and the final “sunset email” actually improves deliverability for your entire list.
Introduction
Every ecommerce store has a graveyard in their email list. These are customers who bought once (or twice), engaged enthusiastically, and then went quiet. They don’t open. They don’t click. They don’t buy.
The question isn’t whether you have these customers — you do. The question is whether you treat them with strategy or silence.
Lapsed customers are dramatically cheaper to reactivate than new customers are to acquire. The average ecommerce store spends $40–$100 to acquire a new customer through paid channels. A win-back email costs fractions of a cent to send. Even at a 7% reactivation rate, the ROI is extraordinary.
This guide covers how to define “lapsed” for your specific store, how to use RFM analysis to identify the right win-back candidates, and the exact 4-email sequence — including a sunset email that most stores skip but shouldn’t.
What you will learn:
– How to define your lapse threshold (it’s different for every store)
– RFM analysis: which lapsed customers are worth pursuing
– A 4-email win-back sequence with subject lines and copy direction
– Why the sunset email is your most important list hygiene tool
– How win-back campaigns affect deliverability
Table of Contents
- Defining “Lapsed” for Your Store
- RFM Analysis: Finding the Right Win-Back Candidates
- The 4-Email Win-Back Sequence
- Email 1: The Soft Nudge (60 Days)
- Email 2: The Stronger Offer (75 Days)
- Email 3: Last Chance (90 Days)
- Email 4: The Sunset Email
- Why Sunset Emails Protect Your Deliverability
- Win-Back Revenue Calculator
- Customer Lapse Timeline Visualizer
- Benchmarks
- FAQ
Defining “Lapsed” for Your Store
“Lapsed” is not a universal number. A customer who hasn’t bought in 60 days might be lapsed for a store selling coffee — but they’re right on schedule for a store selling mattresses.
Your lapse threshold should be based on your store’s average purchase frequency:
| Store Type | Average Purchase Frequency | Lapse Threshold |
|---|---|---|
| Consumables (coffee, supplements, skincare) | Every 30–45 days | 90 days |
| Fashion / apparel | Every 60–90 days | 180 days |
| Home goods | Every 90–180 days | 365 days |
| Specialty / hobby | Every 120–365 days | 18 months |
A practical way to set your threshold: look at your repeat purchase data and find the point at which the probability of repurchase drops below 20%. That is your lapse threshold.
In Klaviyo, you can set this as a predictive “Predicted Time of Next Order” metric — Klaviyo calculates per-customer based on their actual purchase history, which is more accurate than a blanket date rule.
RFM Analysis: Finding the Right Win-Back Candidates
Not all lapsed customers deserve the same effort. RFM (Recency, Frequency, Monetary) analysis helps you prioritise.
R — Recency: How recently did they last buy? A customer who bought 91 days ago is easier to win back than one who bought 2 years ago.
F — Frequency: How many times did they buy? A customer with 5 previous orders is far more valuable to recover than a one-time buyer.
M — Monetary: How much did they spend in total? High-value customers justify more effort and higher incentives.
Win-back priority matrix:
| RFM Profile | Action |
|---|---|
| High F + High M + Recent lapse | Full 4-email sequence, premium offer |
| High F + Lower M + Recent lapse | Full 4-email sequence, standard offer |
| Low F (1–2 orders) + Recent lapse | 2-email sequence only |
| Any profile + Very old lapse (2+ years) | Sunset email only, skip the sequence |
| Bounces or perpetually unengaged | Immediate removal |
Build these segments in Klaviyo using “Last Order Date” + “Number of Orders” + “Total Spent” properties. This takes 15 minutes and makes your win-back campaigns dramatically more targeted.
The 4-Email Win-Back Sequence
| Timing | Approach | Offer | |
|---|---|---|---|
| 1 | 60 days since last purchase | Soft, personal, curious | No discount |
| 2 | 75 days since last purchase | Warm, stronger offer | 15% discount |
| 3 | 90 days since last purchase | Urgency, best offer | 20% discount |
| 4 | 90+ days (no response) | Neutral, list confirmation | No offer — just honesty |
Email 1: The Soft Nudge (60 Days)
Timing: 60 days after last purchase
Approach: “We noticed you’ve been away” — curious, not desperate
The first win-back email should feel personal, not promotional. It acknowledges the gap without making the customer feel bad about it.
Subject line options:
– “We miss you, [First Name]”
– “It’s been a while — here’s what’s new”
– “Still thinking about [Product Category]?”
Preview text: “We’ve added things we think you’ll love. Come see.”
Body copy direction:
Start with a human opener. “Hey [First Name] — we noticed it’s been a little while since your last order. No pressure at all, but we thought you might like to see what’s new since your last visit.”
Show 3–4 product recommendations based on their purchase history — adjacent categories to what they bought before, plus new arrivals in their categories.
No discount in this email. Adding a discount too early signals that you’re desperate and teaches customers to wait for offers. This email is a friendly wave, not a plea.
CTA: “See What’s New” — curiosity-driven, low pressure.
Email 2: The Stronger Offer (75 Days)
Timing: 75 days since last purchase
Approach: Acknowledge the gap, bring a meaningful offer
If Email 1 didn’t convert, the customer either missed it or needs a stronger reason to come back. Email 2 introduces a concrete discount.
Subject line options:
– “Come back — 15% off, on us”
– “[First Name], here’s a reason to come back”
– “We’d like to make it worth your while”
Preview text: “Use COMEBACK15 at checkout. No hoops to jump through.”
Body copy direction:
Lead with the offer. “We want you back. Here’s 15% off your next order — no minimum, no fine print. Just our way of saying we’d love to see you again.”
Show the discount code prominently. Include 2–3 personalised product recommendations. Add a short line about what’s new or improved since their last purchase: new products, a new collection, improved shipping speed, expanded size range.
Unique discount code (not a generic shared code). Set 48-hour expiry to create urgency.
CTA: “Claim My 15% Off”
Email 3: Last Chance (90 Days)
Timing: 90 days since last purchase
Approach: Urgency, your best offer, genuine FOMO
Email 3 is the last promotional email in the sequence. Make the offer your best — 20% off or free shipping + 10% off. The segment receiving this email is significantly smaller than when you started (good responders have already converted), so the margin impact is limited.
Subject line options:
– “Final offer before we stop reaching out”
– “This is our last email — but we’re making it count”
– “[First Name], one more chance (and our best offer)”
Preview text: “20% off — no conditions. Expires in 24 hours.”
Body copy direction:
Be direct. “This is our last promotional email to you for a while. We wanted to make sure you had our best offer before we go quiet: 20% off anything in the store.”
Do not be dramatic or manipulative. The tone is honest and matter-of-fact. You are giving them a real offer, not manufacturing fake urgency.
Include a clear expiry (24 hours makes this the sharpest urgency in the sequence). Product recommendations — their most likely repurchase items based on history.
CTA: “Use 20% Off Now”
Below the CTA, add: “After today, we’ll take a break from reaching out. But your account will always be here when you’re ready.”
Email 4: The Sunset Email
Timing: 90+ days since last purchase, sent after Email 3 with no response
Approach: Transparent, human, no offer
The sunset email is the most underused email in ecommerce. It asks the subscriber directly: do you still want to hear from us?
Subject line options:
– “Should we stay in touch?”
– “One last question, [First Name]”
– “Before we go quiet — a quick check”
Preview text: “We’ll only email you if you say yes. Promise.”
Body copy direction:
Write it like a person, not a brand. “Hey [First Name] — we’ve been in your inbox a few times lately, and you haven’t opened our emails. That’s completely fine — life gets busy. But before we stop reaching out, we wanted to check: do you still want to hear from us?
If yes, click the button below and we’ll keep you updated on new arrivals and exclusive offers. If not — no hard feelings. We’ll remove you from our list and wish you well.”
Include two buttons:
– “Yes, keep me on the list” (updates a custom property: re-engaged: true)
– “No thanks, please remove me” (triggers unsubscribe)
Do not offer a discount in this email. This is about list hygiene, not conversion.
Why Sunset Emails Protect Your Deliverability
Sending emails to people who never open them is actively harmful to your business. Email providers (Gmail, Outlook) use engagement data to decide whether your emails go to the inbox or the spam folder. Low engagement across your list = lower inbox placement for everyone — including your most active subscribers.
The sunset email removes your least engaged subscribers, which:
- Increases your overall open rate — fewer non-openers means your percentage goes up
- Improves deliverability — higher engagement signals tell Gmail you’re sending wanted email
- Reduces email platform costs — most platforms charge by contact count
- Prevents spam complaints — unengaged subscribers are more likely to mark you as spam if they see your email
A clean list of 10,000 engaged subscribers outperforms a bloated list of 50,000 unengaged ones in every measurable way.
Key takeaway: The sunset email is not giving up on customers. It is protecting the revenue-generating performance of your entire email programme.
Win-Back Revenue Calculator
Win-Back Revenue Calculator
Customer Lapse Timeline Visualizer
Win-Back Sequence Timeline
Benchmarks
| Metric | Typical Win-Back | Good | Strong |
|---|---|---|---|
| Overall reactivation rate | 5% | 10% | 15%+ |
| Email 1 open rate (lapsed list) | 15% | 22% | 30%+ |
| Email 2 conversion rate | 2% | 4% | 7%+ |
| Email 3 conversion rate | 1.5% | 3% | 5%+ |
| Sunset email opt-in rate | 8% | 15% | 22% |
FAQ
How often should I run a win-back campaign?
It is not a one-time campaign — it should run as an always-on automated flow. Every time a customer crosses your lapse threshold, they automatically enter the sequence. Review performance quarterly and adjust the timing or offers based on results.
Should I segment lapsed customers by how much they spent?
Yes. High-value lapsed customers (top 20% by LTV) deserve a more personalised approach — consider a direct outreach email from a real person at the company, not a templated flow. The economics of recovering a $500 LTV customer justify the extra effort.
What discount amount works best for win-back emails?
Start at 15% in Email 2 and escalate to 20% in Email 3. For high-AOV stores ($200+), absolute discounts ($20 off) often outperform percentages because the value is more tangible. Test both.
What if my product has no logical “lapse date” (e.g., one-time purchases like furniture)?
Win-back campaigns work differently for one-purchase categories. Instead of re-purchasing the same product, you’re upselling to a related product line or cross-selling to a different category. Reframe the win-back as “we have more things you might love” rather than “come back and buy again.”
Does the sunset email hurt my list size metrics?
Yes — and that is fine. List size is a vanity metric. Revenue per subscriber and deliverability rate are real metrics. A sunset email that removes 15% of your list but improves your deliverability by 8% and your open rate by 12% is a clear win for revenue.
Conclusion
Win-back campaigns are one of the most financially efficient email automations you can build. The customers already know your brand — you are not starting from scratch with acquisition. You are reigniting a relationship that already existed.
Build the 4-email sequence as a Klaviyo flow, segment by RFM before you launch, and never skip the sunset email. A clean, engaged list is worth more than a large, unresponsive one.
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Written by the Ignited Nepal ecommerce team. ignitednepal.com