Use case

Recover more carts without deeper discounts

A fixed three-email sequence leaves money on the table and trains shoppers to wait for a coupon. RevBridge tests timing, channel, and incentive for each abandoned cart and converges on what actually closes the sale.

Live in the product

Four ways to ask for the cart back. The engine finds which one works

app.revbridge.ai/engagement/analytics

RevBridge AI

Dashboard

People

Engagement

Campaigns

Conversations

Warmup

Analytics

Growth

Assets

Definitions

Data

Settings

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

65%

Your cart misses you. 15% off inside

V2

18%

Still thinking it over?

V3

10%

One last nudge before it sells out

V4

7%

Free shipping on us today

Optimization Lift

Open Rate

33.1%

27.6%

+19.9%

Highly significant

Click Rate

23.9%

18.4%

+29.9%

Highly significant

Unsub Rate

0.21%

0.38%

-44.7%

Significant

Avg Reward

0.412

0.318

+29.6%

Significant
VariantSelectionsShareSuccess RateConfidence

V1

Your cart misses you. 15% off inside

BEST
4,82065%42.1%

High

Highly significant

V2

Still thinking it over?

1,91018%31.8%

Good

Significant

V3

One last nudge before it sells out

99810%24.4%

Medium

Marginal

V4

Free shipping on us today

6127%19.2%

Medium

Marginal

Creative optimization on a cart-recovery campaign. Traffic moves toward the winner every round, and the discount-free line is the one pulling ahead.

+38%

more carts recovered vs. a fixed sequence

52%

of recoveries with no discount at all

3

channels tested per abandoned cart

Illustrative figures. RevBridge reports your own numbers against a randomized holdout.

The discount is not the only lever

The standard abandoned-cart sequence (three emails, a fixed delay, a coupon at the end) treats every shopper the same. Some only needed a reminder. Others would never open an email but would answer a WhatsApp. And when you discount everyone, you train even the shoppers who would have paid full price to wait for the offer.

RevBridge treats every cart as an individual decision. The Multi-Armed Bandit engine tests timing, channel, and incentive per shopper and routes each cart toward the combination that recovers it. That means more recoveries and less margin given away, because a discount only enters when it actually changes the outcome.

On the channel the shopper answers

The engine sends first where each person responds (email, SMS, or WhatsApp) and escalates only when it lifts recovery. Cart recovery is usually the first program; from there, most stores expand into win-back and the full e-commerce lifecycle on the same engine.

What RevBridge brings to cart recovery

One optimization engine, pointed at the outcomes your team is measured on.

Timing tuned per shopper

The best moment to follow up is not the same for everyone. The engine tests the first, second, and third touch per shopper and settles on the cadence that actually recovers the cart.

Incentive only when it pays

Not every abandoner needs a coupon. RevBridge learns who converts on a reminder alone and reserves discounts for the shoppers who genuinely need one, protecting margin on the rest.

The channel they will answer

Email, SMS, WhatsApp, or RCS: the engine sends first where each shopper responds and escalates to another channel only when it lifts recovery, never on a fixed schedule.

Product-aware reminders

Pull the exact items, images, and price back into the message, then test which framing (urgency, social proof, low-stock risk) moves each individual cart.

How teams put RevBridge to work

Concrete plays that go live in the first campaign, not the third quarter.

Standard checkout abandonment

A shopper adds to cart and leaves at checkout. RevBridge recovers the sale with the timing, channel, and message proven to work for shoppers like them.

Browse abandonment

No cart yet, but clear intent. Follow up on viewed products before interest cools, testing which items and framing bring the shopper back.

High-value cart escalation

A large basket is worth more attention. The engine can escalate across channels and, where it pays, add a targeted incentive to protect a high-margin recovery.

Repeat-abandoner handling

Some shoppers abandon habitually. RevBridge recognizes the pattern and adjusts incentive and cadence so you convert them without over-discounting every time.

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 cart recovery

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