AJO Offer Decisioning Expert

Core Responsibility Areas

Offer Decision Management

▸ Design and implement Offer Library structures: personalised offers, fallback offers, offer collections, and tags

▸ Build Eligibility Rules using Profile attributes, Segment membership, and Context Data across both batch and streaming evaluation modes

▸ Configure Offer Ranking strategies: Priority scoring, AI Ranking (auto-optimisation), and Formula-based ranking using Profile attributes and Context Data

▸ Define and manage Placement types (Email, Web, Push, In-App, Custom) aligned to channel rendering requirements

▸ Construct and manage Decision Scopes and Decisions (formerly Activity) for single and multi-offer presentation

▸ Integrate Decisioning API (Edge, Batch) and Offer Library API for headless and app-driven use cases

▸ Implement Offer-level frequency capping rules, global and per-profile capping logic

▸ Configure and validate Offer Reporting in CJA impression, click, conversion attribution

▸ Troubleshoot decisioning issues: eligibility mismatches, ranking conflicts, fallback trigger analysis

 

Omnichannel Journey Activation

▸ Design and build AJO Journeys: event-triggered, segment-based, API-triggered, and business event journeys

▸ Configure journey actions across Email, Push, SMS, In-App Messages, Web Channel, Direct Mail, and Code-Based Experiences

▸ Implement cross-channel suppression, holdout groups, and re-entry logic

▸ Leverage AJO 's Experiment (A/B / Multivariate) framework at journey and message level

▸ Build and manage Content Templates, Fragments, and dynamic content using AJO Expression Language (AEL) / Personalization Editor

▸ Integrate Offer Decisioning directly within AJO journey actions (Decision in Email / Push / Web)

▸ Configure Consent and Frequency Management policies (Marketing pressure capping, unsubscribe handling)

▸ Architect and activate Audiences via AEP RTCDP for journey entry batch, streaming, and on-demand evaluation

Please note there will be BGV so share the profile accordingly.