Percent of lapsed subscribers who re-engaged via the Win-Back series. Low percent is normal (3-8%); 0% suggests a broken flow.
At a glance
The share of lapsed (dormant) subscribers who re-engaged after being sent through the win-back automation. A win-back series targets contacts who have gone quiet, no opens or clicks for a defined dormancy window, and tries to pull them back before they are suppressed. Recovery rates here are structurally low and that is expected: you are messaging people who have already stopped paying attention, so a 3-to-8 percent recovery is a genuinely good result, not a failure. The value of the card is twofold. First, even a single-digit recovery rate is highly profitable, re-activating a lapsed customer costs a few emails and recovers a customer you would otherwise have lost, which is far cheaper than acquiring a new one. Second, the card is a flow-health canary: a recovery rate of exactly zero almost never means “nobody came back”, it means the automation is broken, not firing, mis-rendering, or sending to an empty segment. A normal low rate is success; a zero is an alarm.
Calculation
Calculated automatically from your Mailchimp data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A apparel brand on BigCommerce running Mailchimp Standard with a 3-email win-back series targeting subscribers dormant for 120+ days. Snapshot for the 90-day window ending Friday 12 Jun 26, with the prior period for comparison.
What this snapshot is telling us:
- 5.6 percent recovery is within the normal band (3-8 percent) but down from 7.3 percent prior. It is above the 5 percent alert line, but the decline of 1.7 points is worth a look, the win-back is recovering fewer of the same kind of dormant subscribers than it did last period.
- This is a real result, not a broken flow. Because the rate is well above zero and in the expected band, the automation is firing and rendering correctly. The question is optimisation (why did recovery soften?), not repair.
- Even at 5.6 percent, the economics are strong. 470 dormant subscribers re-engaged and 96 of them purchased, recovering roughly £4,320 for the cost of three emails to an audience that was otherwise lost. Re-activated customers are among the cheapest revenue in the programme, this is exactly why a “low” recovery rate is still worth chasing.
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Why might recovery have softened from 7.3 to 5.6 percent? Candidates: (a) the dormant cohort is genuinely harder this period (longer-lapsed, lower-quality contacts entering the segment); (b) the win-back offer weakened, a smaller incentive recovers fewer; (c) deliverability to dormant contacts dropped, lapsed subscribers are more likely to be filtered to spam, so check
inbox-placement-rate-deliverability; (d) the series content or subject lines need a refresh. - What to test. The highest-leverage win-back lever is usually the offer, a stronger incentive (free shipping, a meaningful discount, a comeback gift) recovers more dormant subscribers than a content tweak. Test the offer first, then the subject lines, then the dormancy-window definition (a shorter window catches subscribers earlier, when they are easier to recover).
- The non-recoverers should be suppressed. The ~7,900 dormant subscribers who did not re-engage are now confirmed dead weight, suppress them to protect deliverability and (on contact-tier plans) to stop paying for them. The win-back’s secondary job is to cleanly identify who to suppress.
- Check for zero first. A reading of zero is a broken-flow alarm, not a low score; jump straight to the automation-status check.
- If genuinely low but non-zero, check the cohort. A harder, longer-lapsed dormant segment recovers less; confirm the segment definition has not drifted.
- Check deliverability to dormant contacts. Lapsed subscribers are more likely to be filtered; a placement drop suppresses recovery.
- Test the offer. The incentive is the strongest win-back lever; a weak offer recovers few.
- Suppress the non-responders. The subscribers the win-back fails to recover are confirmed dead weight; clean them out.
Sibling cards merchants should reference together
Reconciling against Mailchimp
Where to look in Mailchimp’s own dashboard:- Mailchimp → Automations → Customer Journeys, open the win-back journey, and review the per-step engagement and the entry segment.
- Mailchimp → Reports → Automations for the win-back’s send, open, click, and revenue counts that feed the recovery calculation.
- Mailchimp → Audience → Segments to inspect the dormancy segment that feeds the win-back, confirming it is non-empty and defined as intended.
Quick rule for support tickets: when a merchant says “my win-back only recovers 5 percent, it must be broken”, reassure them that single-digit recovery is the normal, successful outcome for a series messaging people who already stopped engaging. The thing to worry about is a recovery rate of zero, which almost always means the automation is not firing or is mis-rendering, not that the audience is unrecoverable. Point them at the automation-status check for a zero, and at offer-testing for a genuinely low-but-non-zero rate.
Known limitations / merchant FAQs
My win-back only recovers 5 percent. Is that bad? No, that is a good result. The win-back messages people who have already stopped engaging, so a 3-to-8 percent recovery is genuinely strong, not weak. Comparing it to a normal campaign’s engagement rate is a mistake; the audiences are completely different. A single-digit recovery on a dormant tier is highly profitable because re-activating a lapsed customer is far cheaper than acquiring a new one. Worry about a recovery rate of zero, not a low-but-positive one. My recovery rate is exactly zero. What does that mean? Almost certainly a broken flow, not an unrecoverable audience. A genuine win-back send to a real dormant segment recovers someone, so a flat zero points at a mechanical failure: the automation is not firing, a step mis-renders, or the dormancy segment matches no members. Checkautomation-stopped-firing-24h and confirm the entry segment is non-empty. Zero is an alarm, not a score.
How do I actually improve the recovery rate?
The strongest lever is the offer. Dormant subscribers need a real reason to come back, a meaningful discount, free shipping, or a comeback gift recovers more than a content tweak. Test the offer first. Then refresh the subject lines (each must earn an open from someone who has been ignoring you). Then consider shortening the dormancy window so the win-back catches subscribers earlier, when they are easier to recover. The longer someone has been dormant, the harder they are to win back.
Should I keep emailing the people the win-back failed to recover?
No, suppress them. The subscribers who did not re-engage after a genuine win-back attempt are confirmed dead weight. Continuing to mail them depresses your aggregate engagement, harms inbox placement, and (on contact-tier plans) costs you money. Identifying who to cleanly suppress is the win-back’s valuable secondary job; act on it via suppressed-cleaned-members.
Why is the window 90 days rather than 30?
Because win-back recovery is slow. A lapsed subscriber does not re-engage the day the win-back lands, they come back over weeks, often after the second or third win-back email or a later prompt. A 30-day window would understate recovery by cutting off the slow re-engagers. The 90-day window captures the genuine recovery curve for a dormant audience.
Can Vortex IQ run a better win-back for me?
No. Vortex IQ is read-only by design. It surfaces the recovery rate, distinguishes a broken-flow zero from a healthy low rate, and recommends offer and subject-line testing; building and tuning the win-back happens in Mailchimp by the merchant’s team. The Vortex Mind Customer Recovery Opportunity report can raise a merchant-side Action when recovery softens or zeroes, but the changes stay with the merchant.