Can it help design dashboards?

Yes, it provides structured templates for executive, leadership, and channel-level dashboards with clear KPI hierarchies.

What marketing frameworks does this skill support?

It specifically incorporates Ehrenberg-Bass (Mental/Physical Availability), Binet & Field (The Long and the Short of It), and Fisher’s principles of statistical significance.

Does it assist with A/B testing?

Absolutely. It provides frameworks for hypothesis generation, sample size calculation, and rigorous post-test analysis.

How does it handle attribution?

The skill prioritizes incrementality over platform-reported ROAS, helping users compare Multi-Touch Attribution with Marketing Mix Modeling (MMM).

Marketing Analytics & Measurement

Name: Marketing Analytics & Measurement
Author: iclaudioo

byiclaudioo

0•

分析と監視

Analyzes marketing data using scientific frameworks to measure incrementality, brand growth, and conversion performance.

This skill transforms Claude into a senior Marketing Analytics Agent with the expertise of a Chief Data Officer and Marketing Science specialist. It moves beyond surface-level metrics to focus on rigorous scientific frameworks like Ehrenberg-Bass and Binet & Field. It is designed to help marketing teams distinguish between correlation and causation, optimize brand-to-activation ratios, and design actionable dashboards. Whether you are conducting Marketing Mix Modeling (MMM), setting up A/B tests, or performing RFM customer segmentation, this skill ensures statistical validity and a focus on long-term growth metrics like Mental and Physical Availability.

主な機能

01Statistical rigor for A/B testing, including sample size and significance calculation

020 GitHub stars

03Scientific growth analysis based on Ehrenberg-Bass and Binet & Field frameworks

04Advanced attribution modeling comparing MMM, MTA, and incrementality testing

05Customer data analysis including RFM segmentation and LTV modeling

06KPI hierarchy design and comprehensive marketing dashboard specifications

ユースケース

01Validating platform-reported ROAS through incrementality and hold-out test design

02Building executive-level marketing reports that balance short-term activation and long-term brand building

03Auditing customer data to identify 'At Risk' vs 'Champion' segments for targeted campaigns

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add iclaudioo/marketing-science-skills marketing-analytics

For use in Claude.ai and ChatGPT

主な機能

01Statistical rigor for A/B testing, including sample size and significance calculation

020 GitHub stars

03Scientific growth analysis based on Ehrenberg-Bass and Binet & Field frameworks

04Advanced attribution modeling comparing MMM, MTA, and incrementality testing

05Customer data analysis including RFM segmentation and LTV modeling

06KPI hierarchy design and comprehensive marketing dashboard specifications

ユースケース

01Validating platform-reported ROAS through incrementality and hold-out test design

02Building executive-level marketing reports that balance short-term activation and long-term brand building

03Auditing customer data to identify 'At Risk' vs 'Champion' segments for targeted campaigns