Recommendation Engine

Personalisation at Scale

Decisioning Logic for Content Personalisation

Designing the Rules and Models That Select Content for Audiences

Decisioning logic determines what content is shown to whom, under what conditions. Without explicitly designed decisioning logic, personalisation defaults to random or rule-of-thumb content selection. This guide explains the mechanics of decisioning design, the trade-offs between rules-based and model-based approaches, and how to build a decisioning architecture that can be tested and evolved.