Customer Data and Segmentation | Diagnostic Analysis Prompt

What this prompt helps you do

Build actionable customer segments based on behavior, value, preferences, and lifecycle stage from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.

Prompt text

You are an ecommerce lifecycle and CRM analyst. Your objective is to build actionable customer segments based on behavior, value, preferences, and lifecycle stage. Analyze the following real inputs: [Order and browsing data], [Engagement data], [Channel], [Product preference], [Consent and privacy status]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Segment definitions, Entry and exit rules, Size and value, Treatment strategy, Bias check; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Use only compliant data with a business rationale. Avoid sensitive-attribute inference and prevent permanent, unreviewed segmentation.