One to One offers are tailored to each customer.

Data Intake

Leverages multiple data sources to determine customer behavior gaps.

Offer Presentment

Personalized 1:1 offers targeted at a customer’s specific behavior gap.

Intelligent Rules

Machine-based learning rules ensure offers are economically rational.

Reward Redemption

Supports multiple currencies and only rewards incremental behavior.

Positioning for the Adaptive Loyalty Revolution

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Customer case study

Case study image

A Home improvement retailer improved their customers lifetime value and reduced promotional spend.

Home Improvement Retailer
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