What attribution models does this skill support?

It supports various models including Last Click, First Click, Linear, Time Decay, Position-Based, and Data-Driven models tailored to your specific sales cycle.

How does it calculate ROI and CAC?

It uses integrated metrics across the funnel to calculate Cost Per Acquisition (CAC) and Lifetime Value (LTV) relative to your specific channel spend and revenue data.

Is this skill compatible with Google Analytics 4?

Yes, it includes specific references and best practices for GA4 setup, usage, and reporting, alongside Search Console integration.

Can this skill help with initial tracking setup?

Yes, it provides best practices for UTM discipline, goal hierarchy, and event taxonomy to ensure your data collection is clean and actionable from the start.

Analytics & Attribution

Name: Analytics & Attribution
Author: aitytech

byaitytech

•

184

Analytics & Monitoring

Optimizes marketing ROI through advanced attribution modeling, performance measurement, and automated reporting.

About

This skill empowers Claude with specialized expertise in performance marketing analytics, enabling data-driven decision-making through comprehensive attribution modeling and ROI analysis. It provides frameworks for setting up precise tracking, building multi-touch attribution reports, and calculating key metrics like CAC and LTV across the entire marketing funnel. By automating the interpretation of complex datasets, it helps marketing teams identify high-performing channels and optimize budget allocation based on actual conversion impact rather than just vanity metrics.

Key Features

Implements multi-touch attribution models including linear, time-decay, and position-based.
Standardizes UTM discipline and tracking taxonomies for cleaner data collection.
Diagnoses tracking discrepancies and optimizes cross-domain conversion flows.
Automates marketing ROI and CAC/LTV calculations across the customer journey.
Generates action-oriented performance reports for TOFU, MOFU, and BOFU stages.
184 GitHub stars

Use Cases

Building a comprehensive marketing dashboard to compare channel performance.
Analyzing funnel drop-off points to improve conversion rates.
Setting up an attribution framework for a long-cycle B2B sales process.

About

Key Features

Implements multi-touch attribution models including linear, time-decay, and position-based.
Standardizes UTM discipline and tracking taxonomies for cleaner data collection.
Diagnoses tracking discrepancies and optimizes cross-domain conversion flows.
Automates marketing ROI and CAC/LTV calculations across the customer journey.
Generates action-oriented performance reports for TOFU, MOFU, and BOFU stages.
184 GitHub stars

Use Cases

Building a comprehensive marketing dashboard to compare channel performance.
Analyzing funnel drop-off points to improve conversion rates.
Setting up an attribution framework for a long-cycle B2B sales process.