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Customer Segmentation

作者 linuszz · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install customer-segmentation
功能描述
Segment customers into groups with similar needs and behaviors. Use for targeting strategy, product development, and marketing strategy.
使用说明 (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.
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install customer-segmentation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /customer-segmentation 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug customer-segmentation
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Customer Segmentation 是什么?

Segment customers into groups with similar needs and behaviors. Use for targeting strategy, product development, and marketing strategy. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 193 次。

如何安装 Customer Segmentation?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install customer-segmentation」即可一键安装,无需额外配置。

Customer Segmentation 是免费的吗?

是的,Customer Segmentation 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Customer Segmentation 支持哪些平台?

Customer Segmentation 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Customer Segmentation?

由 linuszz(@linuszz)开发并维护,当前版本 v1.0.0。

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