Customer win-back campaigns recover 5-10% of lapsed buyers who'd otherwise churn for good. Learn the proven sequence, timing, and messaging for Shopify stores.
TL;DR
Every Shopify store has a graveyard of previous customers who bought once, maybe twice, and then went quiet. They liked you enough to purchase. Something shifted. Now they haven't opened an email in four months.
The temptation is to write these customers off and focus energy on acquisition. That's an expensive mistake. A previous customer already knows your brand, has already trusted you with their money, and - crucially - can be reached at near-zero marginal cost through your email list.
A well-constructed win-back campaign recovers 5-10% of those lapsed customers. That might not sound dramatic until you do the arithmetic on your specific store. For a store with 5,000 lapsed customers and a £65 average order value, recovering 10% is 500 orders - £32,500 in revenue from a single automation.
The first decision in building a win-back campaign is defining what counts as a "lapsed" customer. Set this wrong and you'll either trigger too early (annoying customers who are just between purchases) or too late (when the relationship is too cold to recover).
The right trigger point depends on your typical purchase frequency:
| Product Type | Typical Purchase Frequency | Recommended Lapse Trigger |
|---|---|---|
| Consumables (supplements, skincare, coffee) | Monthly | 60-75 days |
| Fashion / Apparel | Quarterly | 90-120 days |
| Home goods / Gifts | 6-12 months | 150-180 days |
| High-consideration items (jewellery, furniture) | 12-24 months | 180-270 days |
In Klaviyo, you can use the "Placed Order" event metric to define the trigger: "Customer who has placed at least one order and has not placed an order in [X days]." Add a suppression for customers currently active in other flows to avoid overlapping communications.
Purpose: Soft re-engagement. No desperation, no discount yet.
Subject line examples:
Content:
Rationale: Many lapsed customers simply drifted away due to life circumstances - not because they stopped liking you. A "what's new" email reconnects on the basis of genuine interest rather than guilt. It respects the customer's agency rather than pleading.
Benchmark: 20-28% open rate (lower than active list due to disengagement)
Purpose: Make re-engagement financially compelling.
Subject line examples:
Content:
Discount sizing: The right discount is the smallest one that moves the needle. For most stores, 10-15% is sufficient. Free shipping resonates strongly for customers whose previous hesitation was delivery cost.
"We tested four different win-back incentives: 10% off, 15% off, 20% off, and free shipping. Conversion rates were almost identical across 10%, 15%, and 20%. Free shipping actually had the highest conversion rate for our product category. We now default to free shipping - it costs us less and converts better." - E-commerce Manager, UK fashion brand
Benchmark: 18-24% open rate, 3-6% click-through, 2-4% conversion
Purpose: Create urgency before the offer expires.
Subject line examples:
Content:
Rationale: A subset of customers are interested but not sufficiently motivated yet. Scarcity and time pressure activate this group. The key is genuine expiry - fake countdown timers that reset damage trust significantly.
Benchmark: 15-20% open rate, higher conversion rate than email 2 due to urgency
Purpose: Respect the customer's inbox, clean your list, and capture any remaining latent interest.
Subject line examples:
Content:
Why this works (counterintuitively): Customers who positively re-engage in a sunset email are highly valuable - they made an active choice to stay. Customers who don't re-engage were likely to unsubscribe eventually anyway. Proactive sunsetting improves your list quality, deliverability, and sender reputation - all of which benefit your active subscribers.
Benchmark: 10-15% open rate, 2-5% click rate, meaningful list hygiene improvement
The "we miss you" framing is widely used in win-back emails - sometimes effectively, sometimes in a way that feels hollow or desperate.
What makes it land:
Not all lapsed customers are equal. Segmenting your win-back audience produces significantly better results than a blanket sequence:
By customer value:
By product category purchased:
By engagement during lapse:
Primary metric: Win-back rate (percentage of lapsed customers who place an order within 30 days of the sequence)
Secondary metrics:
Industry benchmarks for win-back campaigns:
If your win-back rate is below 5%, review your offer size, subject lines, and whether your lapse trigger window is correctly calibrated.
How many emails should a win-back sequence have? Four is the optimal number for most e-commerce brands. More than four extends past the point of diminishing returns and risks annoying previously-satisfied customers. Two emails is sufficient for lower-AOV, higher-frequency stores where the effort of a longer sequence doesn't justify the marginal recovery.
Should I offer a discount to every lapsed customer? No - email 1 deliberately withholds the offer. Many customers re-engage at the "what's new" stage without needing a discount. Only introduce the incentive at email 2, meaning you've already captured the easiest wins at full margin.
What if customers use win-back discounts repeatedly then go quiet again? This pattern (sometimes called "discount cycling") is a signal that the customer's only motivation is the discount. After two win-back cycles with the same customer, consider removing them from the win-back flow entirely - they're margin-negative.
Can I run win-back alongside other flows? Yes, but use suppression to avoid overlap. Customers actively in a post-purchase sequence, abandoned cart flow, or welcome series should be suppressed from win-back triggers until those flows complete.
The revenue sitting in your lapsed customer list isn't gone - it's dormant. A thoughtfully constructed win-back campaign wakes it up, at a fraction of what it would cost to generate equivalent revenue from new customer acquisition.
Build the sequence, set the triggers, and let it run.
Related reading: Post-Purchase Experience Guide | Shopify Customer Lifetime Value Guide | Ecommerce Email Marketing: 7 Revenue-Driving Flows