Configure an offer decisioning catalog and eligibility rules

An offer decisioning catalog is the structured inventory of marketing messages a system can serve to a customer at a given moment. Configuring the catalog involves defining each offer's creative representations across channels (web image, email image, non-digital text), attaching date-validity windows, setting frequency caps, and linking eligibility rules that determine which customer profiles qualify. The output is a ranked, publishable Decision object that can be invoked in real time.

Key decisions include choosing the correct channel-placement combinations so creative assets render appropriately, writing eligibility rules that are precise without being overly restrictive, assigning relative priorities among competing offers, and providing a fallback offer that prevents a blank experience when no personalized offer matches. Practitioners also group offers into Collections to optimize the evaluation path, and they choose between static and dynamic collection strategies based on catalogue size.

Parallel viability: Offer Decisioning's real-time next-best-offer decisioning at the edge has no direct parallel in composable stacks. The closest analog is a custom ML model serving decisions via a Hightouch audience plus a message-routing tool, but this approach lacks the millisecond-latency guarantee and unified eligibility-rules engine that evaluate profile attributes and frequency caps in a single API call. Teams comfortable with eventual-consistent personalization can approximate the pattern; teams requiring sub-second, rules-based arbitration across many concurrent offers should treat this task as AEP-locked.