Use case
The next product is already implied by the last one
Every order narrows what a customer is likely to buy next. RevBridge reads the catalogue against each customer's history and tests the recommendation, the moment, and the channel that lift basket size without discounting it away.
Live in the product
A recommendation is a claim about the customer. Test it like one
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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
51%
Goes with what you already own
V2
27%
Customers who bought this also bought
V3
19%
Complete the set
V4
3%
Bundle both and save
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 Goes with what you already own BEST | 3,940 | 51% | 24.8% | High | Highly significant |
V2 Customers who bought this also bought | 2,610 | 27% | 22.4% | Good | Significant |
V3 Complete the set | 1,720 | 19% | 19.7% | Medium | Marginal |
V4 Bundle both and save | 380 | 3% | 11.6% | Medium | Marginal |
Creative optimization on a cross-sell campaign. The line that reasons from what the customer already owns is beating the bundle discount, which is losing traffic every round.
+19%
lift in average order value
2.8x
return on cross-sell spend
6
motivation archetypes tested per recommendation
Illustrative figures. RevBridge reports your own numbers against a randomized holdout.
The expensive way to lift a basket is to bundle and discount it
Bundling and discounting works: the basket grows and the margin shrinks by the same amount. That is why so many cross-sell programs report a lift in average order value and no lift in profit. A recommendation that is genuinely right needs no discount, because it is not buying the customer's yes, it is getting the product right.
RevBridge reads the catalogue against the history held in Customer 360 and treats each recommendation as a variant the Multi-Armed Bandit engine puts into competition. Brand DNA writes the versions, crossing the six motivation archetypes, and conversion decides which of them was right about that customer.
What this play requires
Unlike the others, cross-sell needs line-item detail, not just the order value. Shopify supplies this out of the box; an API or CSV feed has to carry the products. If your catalogue is still narrow, the second purchase and replenishment will move revenue faster.
What RevBridge brings to cross-sell
One optimization engine, pointed at the outcomes your team is measured on.
Bigger baskets without a bigger discount
The usual way to lift order value is to bundle and discount, which grows the basket and shrinks the margin. A recommendation that is genuinely right does neither. The engine tests both and lets the numbers decide which one you are actually running.
The adjacency is different for every customer
What goes with a purchase is not a property of the product, it is a property of the person who bought it. Customer 360 holds the history, and the engine tests the adjacency per customer rather than shipping one recommendation rule for the whole catalogue.
It is a message, not a merchandising project
Most cross-sell lives on the product page and dies there. Moving it into messaging means it reaches the customer when they are not shopping, which is where the incremental order actually comes from.
Why they buy, not just what
The same recommendation lands differently framed as a saving, a status, or a practicality. RevBridge tests across the six motivation archetypes, so the recommendation is matched to the appeal the customer responds to.
How teams put RevBridge to work
Concrete plays that go live in the first campaign, not the third quarter.
Post-purchase accessory and add-on
The highest-intent moment in the lifecycle. The customer has just committed to the category, and the complement is an easy yes if it arrives before the purchase cools.
Category expansion
Moving a single-category buyer to a second shelf is what turns a customer into an account. The engine finds which adjacent category each customer is closest to crossing into.
Upgrade and tier-up
Some customers bought the entry product and would have paid more. Test the upgrade against the accessory and find out which segment is which, instead of assuming everybody wants the cheaper add-on.
Basket building before checkout
Paired with cart recovery, the same engine can decide whether the message that brings a cart back should also carry a complement, or whether that only adds friction to the recovery.
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 cross-sell
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