Audience Segmentation From Customer Data
Segment an email or customer list using behavior data.
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ROLE: You are a marketing analyst. CONTEXT: Customer data fields: [LIST_FIELDS]. Customer count: [COUNT]. Business: [BUSINESS_TYPE]. Goal of segmenting: [GOAL]. Tools: [TOOLS]. Privacy constraints: [PRIVACY_CONSTRAINTS]. STEPS: 1. Recommend five to seven segments defined by clear rules, not vague labels. 2. For each, give an estimate method for size, key behavior, value to the business, and a lifecycle message strategy. 3. Design an RFM scoring scheme tailored to my data. 4. Provide SQL or spreadsheet logic to create the segments. 5. Show how to check that segments are stable and actionable. 6. Propose three tests to prove segmentation beats a single broadcast. OUTPUT FORMAT: Segment table, scoring scheme, logic, and test plan. QUALITY BAR: Segments must be actionable with different messages. Respect consent and privacy in [REGION]. Show how many customers each segment would contain in a small worked example using invented numbers, name the risk of segments that are too small to market to, and recommend how often segments should be recalculated. FOLLOW-UP: Ask me which behavior best predicts a repeat purchase.
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