How does it identify different audience segments?

The skill utilizes a multi-dimensional framework to categorize users based on engagement levels, LTV tiers, demographic attributes, and psychographic buying styles.

What is the primary output of this skill?

It generates a comprehensive Audience Synthesis Report including an executive summary, persona details, segment analysis, and prioritized action items for growth.

What data sources can Audience Synthesis handle?

It synthesizes first-party data (CRM, Google Analytics), second-party data (Social insights, Ad platform stats), and third-party data (Industry reports, Clearbit/ZoomInfo enrichment).

Can I use this for B2B marketing?

Yes, it includes specific triggers for ICP (Ideal Customer Profile) creation and supports firmographic data points like company size, industry, and technographics.

Audience Synthesis

Name: Audience Synthesis
Author: jmagly

byjmagly

•

102

•

마케팅 자동화

Synthesizes multi-source audience data into actionable buyer personas, behavioral segments, and data-driven growth strategies.

Audience Synthesis is a specialized Claude Code skill designed to unify disparate data streams from CRM, web analytics, and social platforms into comprehensive audience profiles. It automates the complex task of identifying demographic clusters, mapping customer journeys, and generating Ideal Customer Profiles (ICPs) to help teams align their marketing strategies with actual user behavior and market opportunities. Whether you are launching a new product or optimizing existing campaigns, this skill provides the cognitive architecture to turn raw data into strategic targeting intelligence.

주요 기능

01Multi-source data aggregation from first, second, and third-party providers

02Automated data-driven persona generation with psychographic and behavioral mapping

03102 GitHub stars

04Comprehensive customer journey mapping and messaging alignment

05Advanced segmentation frameworks including value-based and lifecycle stages

06Actionable growth opportunity identification and channel targeting recommendations

사용 사례

01Optimizing marketing spend by creating high-converting lookalike audience definitions

02Developing data-backed Ideal Customer Profiles (ICPs) for B2B or B2C brands

03Identifying at-risk customer segments to improve retention and reduce churn

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jmagly/aiwg audience-synthesis

For use in Claude.ai and ChatGPT

Download Skill