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Customer Segmentation

by @linuszz

Segment customers into groups with similar needs and behaviors. Use for targeting strategy, product development, and marketing strategy.

Versionv1.0.0
Downloads718
TERMINAL
clawhub install customer-segmentation

πŸ“– About This Skill


name: customer-segmentation description: "Segment customers into groups with similar needs and behaviors. Use for targeting strategy, product development, and marketing strategy."

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.
  • πŸ“‹ Tips & Best Practices

  • 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