What problem does it solve? Marketing teams struggle to turn raw campaign data from analytics platforms, CRMs, and ad networks into structured performance reviews with clear attribution, diagnosed funnel issues, and prioritized optimization actions. ## Core Features & Use Cases - Attribution Model Selection: Decision trees for choosing between single-touch, multi-touch, MMM, and MTA models based on sales cycle length, data maturity, and channel mix. - Measurement Plan Builder: Four-step methodology covering KPI hierarchy by funnel stage, attribution windows, reporting cadence, and baseline setting from your own historical data. - Campaign Analysis & Funnel Diagnosis: Structured post-campaign decomposition by channel, audience, creative, and timing, plus a systematic process to find and fix funnel drop-offs. - A/B Test Framework: Hypothesis structure, design checklist, result interpretation, and ICE-style test prioritization. - Use Case: Prepare a monthly marketing review by connecting GA4 and HubSpot via MCP, then let the skill decompose campaign performance, flag the biggest funnel drop-off, and draft prioritized optimization recommendations. ## Quick Start Ask the agent to create a marketing performance report for last month's campaigns using your connected analytics and CRM data sources.
