segmentationlisted

# Segmentation ## When This Skill Applies - Defining audience segments for campaigns - Building lead scoring models - Creating customer personas from data - Designing behavioral trigger rules - Planning personalization strategies ## Core Guidance ### 1. Segmentation Process ``` Define Objectives -> Collect Data -> Choose Dimensions -> Create Segments -> Validate Segments -> Profile Segments -> Activate -> Monitor ``` ### 2. Segmentation Dimensions | Dimension | Criteria | Data Sources | |-----------|----------|-------------| | Demographic | Age, gender, income, education, role | CRM, forms, surveys | | Firmographic | Company size, industry, revenue, location | CRM, enrichment tools | | Behavioral | Purchase history, engagement, feature usage | Analytics, product data | | Psychographic | Values, interests, pain points, motivations | Surveys, interviews | | Technographic | Tech stack, tools used, platforms | Enrichment, surveys | | Intent | Search behavior, content consumed, buying signals | Analytics, ads | ### 3. RFM Segmentation Model | Metric | Definition | Scoring (1-5) | |--------|-----------|---------------| | Recency | Time since last interaction | Recent = 5, Old = 1 | | Frequency | Number of interactions/purchases | High = 5, Low = 1 | | Monetary | Total spend or engagement value | High = 5, Low = 1 | **RFM Segment Examples**: | RFM Score | Segment Name | Strategy | |-----------|-------------|----------| | 555 | Champions | Reward, loyalty program | | 5X1-2 |