What problem does it solve?
Marketing teams frequently struggle with inconsistent campaign performance tracking, unclear multi-touch channel attribution, and inefficient budget allocation that wastes spend on low-ROI initiatives. This skill provides a standardized, end-to-end workflow to eliminate these gaps and turn raw marketing data into actionable insights.
Core Features & Use Cases
- Multi-touch attribution modeling: Compare 5+ attribution models (first-touch, last-touch, linear, time-decay, position-based) to accurately assign credit to channels across the full buyer journey.
- Campaign performance analysis: Calculate core marketing metrics (CPL, CAC, ROAS, conversion rate) to identify top and underperforming campaigns.
- Budget optimization & forecasting: Get data-driven budget reallocation recommendations and generate statistically grounded forecasts for leads, revenue, and pipeline.
- Use Case: A B2B marketing team can use this skill to analyze Q1 campaign performance, compare attribution models to identify over/under-valued channels, and shift 10% of low-performing social ad spend to high-ROI email nurture sequences for Q2.
Quick Start
Use the marketing-analyst skill to analyze the attached Q1 2026 campaign performance CSV file and generate a full budget reallocation recommendation report with projected ROI impact.