HighConvertingEmails
TemplatesToolsPricingBlog
Sign inTry free
HighConvertingEmails

AI email copywriter and optimizer. Rewrite, score, and ship higher-converting emails in seconds.

Product
  • Pricing
  • Try free
  • Tools
  • Templates
Resources
  • Blog
  • Email examples
  • Subject lines
  • API docs
Company
  • About
  • Contact
Legal
  • Privacy
  • Terms
  • DPA
  • Acceptable use
© 2026 HighConvertingEmails.com
Subject lines/Winback / lapsed customer

Winback / lapsed customer subject lines

Subject lines for customer reactivation sequences.

10 examples

  1. 1.Still using your {{lastPurchase}}?
  2. 2.What changed?
  3. 3.We probably need to break up
  4. 4.Here's 20% — for old times' sake
  5. 5.You're in our top tier and we'd hate to lose you
  6. 6.Are we good?
  7. 7.What didn't we do for you?
  8. 8.Two questions before you go
  9. 9.It's been a winter
  10. 10.Haven't seen you in a minute

What makes these work

Winback subject lines work best when they ask a question rather than make a claim. 'Still using your {{lastPurchase}}?' beats '20% off to come back' on opens, replies, and downstream LTV by wide margins. The question framing acknowledges the customer's choice to lapse and invites them to respond honestly. Discount-led winback subjects work, but they should be the late-sequence move, not the opener. 'We probably need to break up' as the deep-lapse subject earns surprising response rates — counterintuitively, permission to leave generates more re-engagement than guilt-trip subjects. For SaaS cancel-winback, naming the cancel date in the subject ('You canceled {{paidTier}} on {{date}} — quick question') signals that this isn't an automated blast and lifts response rates substantially.

Templates that use these patterns

30-day winback (lapsed customer)
Customer who hasn't purchased in 30+ days
Winback after paid cancel
SaaS user who canceled paid plan
90-day winback (heavy lapse)
Customer 90+ days post-purchase
Score your own subject line

Paste a subject line and the body it pairs with. Get a predicted open-rate score, risk flags, and three variants. Free anonymous run.

Try it