audience-segmentation
CommunityTarget the right customers with data segments.
Authorweisberg
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automates end-to-end customer segmentation by combining RFM scoring, behavioral clustering, and cohort retention analysis to power targeted marketing and data-driven decisions.
Core Features & Use Cases
- Automated RFM scoring with interpretable segment mappings for quick decisioning
- Behavioral clustering using K-Means and DBSCAN with deterministic preprocessing and reproducible seeds
- Cohort retention analysis and segment migration tracking for lifecycle insights
- Segment profiling with exportable artifacts and integration points for experimentation, email analytics, and paid media
- Practical use cases: identify Champions for high-value targeting, build lookalike audiences, and monitor segment evolution over time
Quick Start
Analyze the latest transaction and behavioral data to generate customer segments and export segment profiles for activation.
Dependency Matrix
Required Modules
pandasnumpyscikit-learn
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: audience-segmentation Download link: https://github.com/weisberg/agile_agentic_analytics/archive/main.zip#audience-segmentation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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