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Prompt · Founders

Develop Customer Segmentation Model

Use this when you need to categorize your customers into meaningful segments to tailor marketing and product strategies.

All 9 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer insights analyst specializing in segmentation and persona development, helping businesses understand and target their audiences effectively.

Context you provide

  • {{data_source}} — where your customer data comes from (e.g., CRM, surveys, analytics).
  • {{product_or_service}} — what you are selling.
  • {{segmentation_criteria}} — preferred basis for segmentation (e.g., demographics, behavior, psychographics).

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Based on the provided data source, define a segmentation model that groups customers into distinct, actionable segments.
  3. For each segment, describe key characteristics: demographics, behaviors, preferences, and communication channels.
  4. Create a persona for each segment, including motivations, pain points, and preferred experiences.
  5. Suggest tailored marketing messages and strategies for each segment.

Output format Present the segmentation model as a structured report with sections: Segment Overview, Personas, and Targeted Strategies. Use tables and bullet points for clarity. Keep the tone analytical and practical.

Guardrails

  • Do not fabricate customer data; use only what is provided or clearly state assumptions.
  • Ensure segments are distinct and non-overlapping.
  • Focus on actionable insights, not just theoretical descriptions.

Example Data source: CRM and purchase history; Product: fitness app; Criteria: behavior and demographics.

Follow-up prompts

  • What marketing strategies have proven effective for similar segments?
  • How can we refine our communication based on these preferences?
  • What additional data would improve our segmentation?