marketing-analytics

Consolidate marketing tracking, attribution, and reporting into a unified workflow.

2|Updated Dec 13, 2025

Search Tags:#analytics #marketing #dashboard #attribution #segmentation #cohort #funnel

Ready to run

npx skills add https://github.com/truchot/claude-skills-test --skill marketing-analytics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: marketing-analytics
Source: https://github.com/truchot/claude-skills-test/tree/main/.web-agency/skills/marketing-analytics
Command: npx skills add https://github.com/truchot/claude-skills-test --skill marketing-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Marketing analytics consolidates data from multiple sources to measure, attribute, and optimize marketing performance, enabling data-driven decisions and ROI demonstration.

Core Features & Use Cases

Tracking & measurement: collect, unify, and validate marketing data across channels (GA4, ads, email).
Attribution & ROI insights: identify contribution of each touchpoint and compare models (last-click, data-driven) for budget allocation.
Dashboards & reporting: build executive and operational dashboards, automate reporting, and surface actionable recommendations.
Use Case: optimize campaigns with funnel analysis, cohort retention, and predictive analytics to forecast churn and LTV.

Quick Start

Start by linking your analytics sources, selecting a North Star KPI, and generating a ready-to-use marketing dashboard.

Frequently Asked Questions about marketing-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build a marketing attribution model to measure campaign ROI?▼

To build a marketing attribution model for campaign ROI, you consolidate tracking data across channels and compare attribution models like last-click and data-driven to identify each touchpoint's contribution and optimize budget allocation.

What is the best way to consolidate GA4 and ad data into a unified marketing dashboard?▼

The best way to consolidate GA4 and ad data into a unified marketing dashboard is by linking your analytics sources, selecting a North Star KPI, and enforcing data source requirements to validate cross-channel data for automated reporting.

How do I diagnose funnel drop-offs using cohort analysis?▼

You diagnose funnel drop-offs using cohort analysis by mapping user retention stages across campaigns, comparing attribution models, and tracking lookback windows to identify exactly where and why users exit the marketing funnel.

Can I automate marketing reporting for multiple channels without manual data validation?▼

You can automate marketing reporting across multiple channels without manual validation by enforcing data source requirements and KPI frameworks upfront, allowing the system to automatically generate operational dashboards and surface actionable insights.

When should I use data-driven attribution instead of last-click for marketing analytics?▼

You should use data-driven attribution instead of last-click for marketing analytics when you need to accurately identify the contribution of each touchpoint across complex funnels rather than crediting only the final interaction before conversion.

How do I forecast churn and LTV using marketing analytics data?▼

You forecast churn and LTV using marketing analytics data by applying cohort retention analysis and predictive analytics to historical campaign data, enabling you to project future user behavior and lifetime value across segments.