← Back to Skills Marketplace
linuszz

Customer Segmentation

by linuszz · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
193
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install customer-segmentation
Description
Segment customers into groups with similar needs and behaviors. Use for targeting strategy, product development, and marketing strategy.
README (SKILL.md)

Customer Segmentation

Metadata

  • Name: customer-segmentation
  • Description: Group customers by shared characteristics for targeted strategy
  • Triggers: segmentation, customer segments, target customers, market segments

Instructions

You are a marketing strategist segmenting customers for $ARGUMENTS.

Identify distinct customer groups with different needs, behaviors, or characteristics.

Segmentation Bases

By Type

Type Variables When to Use
Demographic Age, income, gender, education B2C, consumer goods
Firmographic Industry, size, location B2B, business services
Behavioral Usage, loyalty, purchase patterns Product strategy
Needs-based Benefits sought, pain points Value proposition design
Psychographic Values, lifestyle, attitudes Brand strategy
Value-based Revenue, profitability, LTV Resource allocation

Effective Segments

Segments must be:

  • Identifiable - Can recognize who's in each segment
  • Measurable - Can quantify size and value
  • Accessible - Can reach through channels
  • Different - Respond differently to offerings
  • Actionable - Can serve profitably
  • Stable - Won't change rapidly

Output Format

## Customer Segmentation: [Market/Product]

### Segmentation Approach

**Methodology:** [Demographic/Behavioral/Needs-based/etc.]
**Data Sources:** [Surveys, transaction data, interviews, etc.]
**Sample Size:** [N = X customers]

---

### Segment Overview

| Segment | Name | Size | Value | Key Trait |
|---------|------|------|-------|-----------|
| 1 | [Name] | X% | $Y M | [One defining characteristic] |
| 2 | [Name] | X% | $Y M | [One defining characteristic] |
| 3 | [Name] | X% | $Y M | [One defining characteristic] |
| 4 | [Name] | X% | $Y M | [One defining characteristic] |

---

### Detailed Segment Profiles

#### Segment 1: "[Evocative Name]"
**"One-line characterization"**

**Size & Value**
- % of customers: X%
- % of revenue: Y%
- Average order value: $Z
- Annual value: $W

**Who They Are**
- [Demographic/firmographic profile]
- [Key characteristics]

**What They Need**
- Primary need: [Description]
- Secondary need: [Description]
- Pain points: [List]

**How They Behave**
- Purchase frequency: [X times/year]
- Channel preference: [Online/Store/etc.]
- Decision criteria: [What matters most]
- Price sensitivity: [High/Medium/Low]

**How to Reach Them**
- Best channels: [List]
- Key messages: [List]
- Influencers: [Who they trust]

**Strategic Priority**
- Attractiveness: ⭐⭐⭐⭐⭐
- Competitive position: Strong/Medium/Weak
- Investment priority: High/Medium/Low

---

[Repeat for Segments 2-4]

---

### Segment Comparison Matrix

| Dimension | Segment 1 | Segment 2 | Segment 3 | Segment 4 |
|-----------|-----------|-----------|-----------|-----------|
| **Size** | 25% | 35% | 20% | 20% |
| **Revenue Share** | 40% | 30% | 15% | 15% |
| **Avg Revenue/Customer** | $500 | $250 | $200 | $180 |
| **Growth Rate** | 15% | 5% | 8% | -2% |
| **Profitability** | High | Medium | Low | Low |
| **Loyalty** | High | Medium | Low | Low |
| **Price Sensitivity** | Low | Medium | High | High |
| **Competitive Intensity** | High | Medium | Low | Low |
| **Our Share** | 30% | 20% | 10% | 5% |
| **Attractiveness** | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | ⭐ |

---

### Targeting Strategy

**Primary Targets (Invest)**
- Segment 1: [Rationale]

**Secondary Targets (Maintain)**
- Segment 2: [Rationale]

**Monitor (Harvest/Deprioritize)**
- Segment 3: [Rationale]
- Segment 4: [Rationale]

---

### Positioning by Segment

| Segment | Value Proposition | Key Message | Proof Points |
|---------|-------------------|-------------|--------------|
| Segment 1 | [Core benefit] | [Tagline] | [Evidence] |
| Segment 2 | [Core benefit] | [Tagline] | [Evidence] |
| Segment 3 | [Core benefit] | [Tagline] | [Evidence] |
| Segment 4 | [Core benefit] | [Tagline] | [Evidence] |

---

### Implementation Priorities

**Immediate (0-6 months)**
1. [Action for Segment 1]
2. [Action for Segment 2]

**Near-term (6-12 months)**
1. [Action for Segment 1]
2. [Action for Segment 3]

**Long-term (12+ months)**
1. [New segment development]
2. [Segment expansion]

Tips

  • Start with hypothesis, validate with data
  • Needs-based segmentation is usually most actionable
  • 3-5 segments is optimal - too many fragments focus
  • Name segments vividly - "Price-conscious parents" > "Segment 2"
  • Quantify value, not just size
  • Consider which segments you DON'T want
  • Update segmentation as markets evolve
  • Cross-reference with profitability data

References

  • Kotler, Philip & Keller, Kevin. Marketing Management. Multiple editions.
  • Christensen, Clayton. Competing Against Luck. 2016. (Jobs to Be Done)
  • Stern, Michael. "Market Segmentation". Harvard Business Review.
Usage Guidance
This skill is a harmless template and does not install code or ask for credentials. Consider these practical points before using: (1) Source unknown — there is no homepage or identifiable publisher; if provenance matters, verify origin. (2) The skill will ask you to supply customer data (surveys, transactions, etc.); avoid pasting PII or sensitive customer records into prompts unless you trust where the data will be processed. (3) Because it is instruction-only, it cannot run code on your machine, but any data you provide will be included in LLM requests — protect confidential data accordingly. (4) Treat the output as a human-created template: validate any segment assumptions with your real data and analytics tools before acting.
Capability Analysis
Type: OpenClaw Skill Name: customer-segmentation Version: 1.0.0 The skill bundle contains only metadata and markdown instructions for a marketing strategy task. There is no executable code, network activity, or malicious prompt injection; it simply provides a template and guidelines for customer segmentation analysis in SKILL.md.
Capability Assessment
Purpose & Capability
Name and description (customer segmentation) match the content of SKILL.md, which is a segmentation methodology and output template; there are no unrelated requirements (no env vars, binaries, or config paths).
Instruction Scope
Runtime instructions are a structured guide and output template for performing segmentation. They do not instruct the agent to read local files, environment variables, or send data to external endpoints; no broad or vague data collection is requested.
Install Mechanism
There is no install spec and no code files, so nothing is downloaded or written to disk; lowest-risk delivery model (instruction-only).
Credentials
The skill declares no required credentials, environment variables, or config paths. Requested inputs are conceptual (data sources, sample size) and appropriate for segmentation tasks.
Persistence & Privilege
Skill is not forced always-on and uses default autonomy settings. It does not request system-wide changes or persistent credentials.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install customer-segmentation
  3. After installation, invoke the skill by name or use /customer-segmentation
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release summarizing best practices and structured output for customer segmentation: - Segments customers by needs, behaviors, and key characteristics for strategic marketing. - Provides clear segmentation bases: demographic, firmographic, behavioral, needs-based, psychographic, and value-based. - Structured output format with segment summaries, profiles, matrix comparison, targeting, and positioning guidance. - Includes actionable tips and references to leading marketing frameworks. - Designed for use in targeting strategy, product development, and marketing strategy.
Metadata
Slug customer-segmentation
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Customer Segmentation?

Segment customers into groups with similar needs and behaviors. Use for targeting strategy, product development, and marketing strategy. It is an AI Agent Skill for Claude Code / OpenClaw, with 193 downloads so far.

How do I install Customer Segmentation?

Run "/install customer-segmentation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Customer Segmentation free?

Yes, Customer Segmentation is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Customer Segmentation support?

Customer Segmentation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Customer Segmentation?

It is built and maintained by linuszz (@linuszz); the current version is v1.0.0.

💬 Comments