Batch AI Predict's cross-sell score solves the premium range acquisition problem: it pinpoints the non-buyers most likely to convert, so you recruit precisely without broadcasting to your whole base. Some product lines are too specific (positioning, price, exclusivity) to push to your whole base. But you want to maximize conversion on these high-value ranges.
It's one of the most common use cases for predictive AI in CRM, part of a series breaking down, one by one, the concrete uses of Batch AI Predict. To understand why a predictive score only creates value once it's activated, start with our framing article.
Key takeaways
- Batch AI Predict's cross-sell score identifies non-buyers with the highest potential on a premium range, without broadcasting to your whole base.
- Pushing a premium range to your entire base dilutes the exclusivity that makes it valuable.
- Cross-sell score targeting generates up to 4x the click rate on the most likely profiles.
- The unsubscription rate is cut in half, preserving your premium positioning.
Why does broadcasting to your whole base break premium exclusivity?
The right target exists: customers who never bought this range but have the profile to do so. The problem is identifying them precisely, without drowning them in a mass broadcast.
How does Batch let you build the recruitment audience with the cross-sell score?
The model assigns each non-buyer a cross-sell score expressing their probability of interest. That score lets you build the optimal audience, targeting only the customers with the highest purchase probability.
Once you've built this audience, you can also personalize the product content of each campaign with product recommendations.
What score powers this use case: cross-sell?
Cross-sell predicts, for each customer, their probability of converting to an offer or product they've never bought. The model learns from customers who already adopted the range the signals that characterize a good recruitment profile.
A similar scoring logic also powers targeting for your thematic campaigns, to maximize performance rather than acquisition.
What performance do we observe on this type of use case?
On this type of targeting, compared to a broad broadcast or rough targeting:
Click rate on selected audience: up to 4x on the most likely profiles
Unsubscription rate: cut in half
How does the cross-sell score maximize recruitment on your premium range?
Batch AI Predict's cross-sell score identifies, among non-buyers, those with the highest probability of adopting the range, and builds the recruitment audience right inside the platform. More conversion on the range, and preserved exclusivity.
Andréa Massimi
Content Marketing Manager @ Batch
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