Use case
Bring lapsed customers back before they are gone
A blanket win-back blast reactivates the wrong customers at the wrong cost. RevBridge learns each segment's reactivation window, picks the incentive and channel proven to move them, and skips the ones who are truly gone.
Live in the product
A dormant customer does not answer the same line as an active one
RevBridge AI
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MR
Marina Reis
Verdant
Analytics
Measure campaign funnels, channel mix, attribution, and creative performance.
Creative Optimization
Traditional: 10%
RevBridge: 90%
Traffic Distribution per Round
Success Rate per Variant
Variants
V1
61%
We saved your spot. Come back for 20% off
V2
21%
It has been a while
V3
12%
Your favorites are back in stock
V4
6%
One more reason to return: free shipping
Optimization Lift
Open Rate
33.1%
27.6%
+19.9%
Click Rate
23.9%
18.4%
+29.9%
Unsub Rate
0.21%
0.38%
-44.7%
Avg Reward
0.412
0.318
+29.6%
| Variant | Selections | Share | Success Rate | Confidence | |
|---|---|---|---|---|---|
V1 We saved your spot. Come back for 20% off BEST | 3,640 | 61% | 33.9% | High | Highly significant |
V2 It has been a while | 1,480 | 21% | 24.8% | Good | Significant |
V3 Your favorites are back in stock | 842 | 12% | 19.2% | Medium | Marginal |
V4 One more reason to return: free shipping | 486 | 6% | 15.4% | Medium | Marginal |
Creative optimization on a win-back campaign. These are the reactivation lines, not the cart-recovery ones: a different play gets a different set of creatives, and a different winner.
17%
of dormant customers reactivated per cycle
+29%
higher reactivation than a blanket offer
90 days
typical lapse window it targets
Illustrative figures. RevBridge reports your own numbers against a randomized holdout.
Win-back is not a blast, it's a decision per customer
The typical win-back program fires a single offer to everyone who crossed a lapse date. That wastes margin on customers who would have returned anyway, spends effort on addresses that never will, and arrives too late for those who had already decided to leave. The window where reactivation still matters is different for every segment.
RevBridge starts from Customer 360 to score reactivation likelihood, then lets the Multi-Armed Bandit engine test window, incentive, and channel per segment. Effort concentrates where there is a genuine chance of return, and a discount only enters when it changes the outcome.
On the channel a lapsed customer still opens
A contact who stopped engaging on email will often still answer SMS or WhatsApp. The engine leads with the channel most likely to be opened. Win-back shares the same engine as cart recovery and the full e-commerce lifecycle, so cadence stays coordinated across every program.
What RevBridge brings to win-back
One optimization engine, pointed at the outcomes your team is measured on.
Reach them at the right lapse point
A customer who lapsed 30 days ago is a different problem from one gone 120. The engine learns each segment's reactivation window and reaches out while it still matters.
The incentive that actually returns them
A blanket 20% off wins back the wrong people at the wrong cost. RevBridge tests incentives per segment (free shipping, a new-arrival nudge, a percentage off) and sends the one proven to move them.
Skip the spend on the truly gone
Not every dormant contact is worth a message. The engine prioritizes those with genuine reactivation likelihood and holds back spend on the ones who will not return.
Whatever channel still reaches them
An unengaged email subscriber may still answer SMS or WhatsApp. RevBridge finds the channel a lapsed customer will actually open and leads with it instead of shouting louder on a dead one.
How teams put RevBridge to work
Concrete plays that go live in the first campaign, not the third quarter.
Lapsed-buyer reactivation
Re-engage customers at 60, 90, or 120 days with the offer and channel proven to move their segment, not a single blast that treats every dormant contact the same.
Subscription & replenishment lapse
Catch customers who missed a replenishment cycle at the moment their supply likely ran out, with a reminder tuned to the product and the person.
Post-issue recovery
A refund or a support problem does not have to end the relationship. Sequence a considered follow-up that earns the next order back rather than pushing a discount.
Pre-churn intervention
Reach customers whose engagement is fading before they lapse at all. The engine flags the early signals and intervenes with the message likeliest to keep them active.
Keep exploring
Related solutions
Different starting point, same engine underneath. See how RevBridge maps to the rest of your motion.
Frequently asked questions
See what RevBridge can do for win-back
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The engagement platform that optimizes ROI in real-time using Agentic AI and adaptive optimization.
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