CS-301b · Module 1
AI-Enhanced Attribution
3 min read
AI attribution moves beyond rule-based models to data-driven credit assignment. Instead of pre-defining that first touch gets 40% credit, the AI model analyzes every closed deal and learns which touchpoints actually correlated with conversion. The result: credit is distributed based on empirical impact, not arbitrary rules. In one organization, the AI model discovered that a specific webinar series had 3x the conversion influence of any other marketing touch — a pattern invisible to the rule-based model that gave it equal weight. In another, the model found that the fifth email in a nurture sequence was the inflection point — everything before it was noise, everything after was closing.