segmentation-analysis

Cluster user data into 3-7 segments with profiles and strategy matrix.

351|70|Updated Jan 11, 2026

Search Tags:#monetization #profiling #data-analytics #retention #segmentation #clustering #customer-insights

Ready to run

npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill segmentation-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: segmentation-analysis
Source: https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/segmentation-analysis
Command: npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill segmentation-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Segmenting customers and users to reveal meaningful groups, profiles, and behavioral patterns that drive targeted strategies and measurable outcomes.

Core Features & Use Cases

Data-driven segmentation: apply clustering to reveal natural groups and validate with business rules.
Segment profiling: generate size, averages, and actionable characteristics per segment to inform product and marketing decisions.
Strategy mapping: produce a segment-level action plan, including activation, retention, and monetization opportunities.

Quick Start

Segment my user data to produce actionable segments and a profile for each.

Frequently Asked Questions about segmentation-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I segment my user data to produce actionable customer profiles?▼

To segment user data, this Skill applies data-driven clustering or rule-based logic to generate 3-7 actionable customer segments. It outputs segment profiles containing size, averages, and characteristics, plus a CSV of segments and a strategy matrix for revenue targeting.

Can I use rule-based rules instead of clustering for customer segmentation?▼

Yes, customer segmentation can use either data-driven clustering or rule-based rules depending on your data structure. The Skill applies the appropriate method to generate 3-7 actionable segments, validating distinguishability and producing profiles with metrics like segment size and averages for monetization insights.

What's the best way to map monetization and retention strategies to user segments?▼

The best way to map strategies is by generating a segment-level action plan from your segmentation analysis. This Skill produces a strategy matrix that aligns activation, retention, and monetization opportunities with each segment's specific behavioral characteristics and profile metrics.

How many customer segments should I target for my profiling analysis?▼

For effective customer profiling, targeting 3 to 7 actionable segments is recommended. This range ensures segments remain distinguishable and interpretable while providing enough granularity to drive targeted activation, retention, and monetization strategies without overcomplicating the analysis.

Does customer segmentation work without dependencies or external libraries?▼

Yes, customer segmentation works without external dependencies as none are required. The Skill independently applies clustering or rule-based logic to your user data, validating segment distinguishability and generating profiles, CSV outputs, and strategy matrices entirely within its own processing logic.