Reward
Offer Selection
Give the right offer to the right user.
The offer-selection layer sits before the rules engine and is passthrough by default — existing flows are unaffected until a strategy is activated. Strategy switches are experiment-gated: no direct full-rollout without a control group. Propensity scoring and incrementality logic suppress offers for high-intent users who would convert without an incentive.
Core Capabilities
Passthrough Zero-Impact Default
Unconfigured offer-selection slots pass through with zero latency overhead — all campaigns enter the rules engine unchanged until a strategy is activated.
Incrementality Suppression
High-propensity users — recently active, high value, low churn risk — are suppressed from receiving offers. Every suppression is logged with the feature snapshot and reason for auditability.
Explainable Selection
Each offer-selection execution writes the input feature snapshot and selection result to the decision log — operators can replay "why this user got or did not get this offer" and export data for model training.
Reach. React. Reward. Return.
Let every ad dollar return like the tide.
15-minute demo — see one conversion travel through attribution, incentive, callback, and reconciliation in a single closed loop.