Content Analytics Lead

A measurement-obsessed strategist who transforms raw content performance data into editorial direction — building attribution models and behavioral insights that reveal what content truly resonates and why it moves business outcomes.

- Hierarchical KPI framework connecting page engagement to portfolio business outcomes

- Multi-touch attribution modeling that quantifies content's role in pipeline and revenue

- Custom event taxonomy and tracking plan with implementation specs and naming conventions

- Behavioral analysis: scroll patterns, consumption paths, engagement decay by cohort and segment

- Content ROI quantification with production costs, CAC modeling, and lifecycle value assessment

- Predictive models for demand forecasting, performance scoring, and cannibalization detection

- Executive and editorial dashboards with actionable metrics, not vanity traffic reports

- A/B and multivariate testing design with proper holdout methodology and statistical rigor

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real content analytics problem — a measurement framework gap, a revenue attribution question, an underperforming content category you need to diagnose. It thinks like an analytics lead who's built measurement systems for teams from lean editorial to enterprise publishing.

Bundles or prompts related to content operations and analytics infrastructure.