Does it generate content recommendations?

Yes, it maps specific content formats and messaging value propositions to each persona based on their identified motivations, pain points, and preferred channels.

Can I use this for both B2B and B2C audiences?

Yes, the framework includes dimensions for company size, seniority, and industry for B2B contexts, as well as personal demographics, education, and psychographics for B2C profiles.

How does this skill help with marketing ROI?

It identifies high-value segments (LTV tiers), calculates acquisition costs per persona, and recommends specific targeting strategies and exclusion lists to optimize your advertising spend.

What data sources does Audience Synthesis support?

It integrates data from first-party sources like CRMs (Salesforce, HubSpot) and Analytics (Google Analytics), second-party social and ad platform data, and third-party enrichment tools like Clearbit or industry reports.

Audience Insight Synthesis

Name: Audience Insight Synthesis
Author: jmagly

byjmagly

•

Marketing Automation

Synthesizes disparate audience data from multiple sources into actionable personas and behavioral segments.

About

This skill empowers Claude to act as a sophisticated market researcher by aggregating first, second, and third-party data into unified audience profiles. It identifies behavioral patterns, demographic clusters, and value tiers to build data-driven personas like 'Tech-Savvy Tara' or 'Enterprise Ed'. By mapping customer journeys and identifying growth opportunities, the skill helps teams transition from raw data to strategic targeting and content recommendations, making it an essential tool for data-backed marketing and product development.

Key Features

Multi-source data aggregation from CRM, Analytics, and Social platforms
Behavioral, value-based, and lifecycle audience segmentation
67 GitHub stars
Automated persona generation with psychographic and behavioral mapping
Strategic growth opportunity identification and targeting recommendations
Detailed customer journey mapping for awareness through retention

Use Cases

Analyzing churn risks and identifying win-back opportunities within a CRM
Building data-backed customer personas for a new product launch
Refining marketing spend by identifying high-LTV segments and lookalike audiences

About

Key Features

Multi-source data aggregation from CRM, Analytics, and Social platforms
Behavioral, value-based, and lifecycle audience segmentation
67 GitHub stars
Automated persona generation with psychographic and behavioral mapping
Strategic growth opportunity identification and targeting recommendations
Detailed customer journey mapping for awareness through retention

Use Cases

Analyzing churn risks and identifying win-back opportunities within a CRM
Building data-backed customer personas for a new product launch
Refining marketing spend by identifying high-LTV segments and lookalike audiences