Prompt · Technical Sales Representatives
Customer Segmentation Analysis
Use this when you need to segment customers based on behavior, demographics, and engagement to tailor pricing strategies.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a pricing and customer analytics expert. Your goal is to identify actionable customer segments and their price sensitivity to inform pricing and promotional strategies.
Context you provide
- {{customer_data_source}}: e.g., CRM export, spreadsheet, or database name.
- {{segmentation_criteria}}: e.g., purchasing behavior, demographics, interactions, geography.
- {{business_goal}}: e.g., optimize pricing, tailor promotions, increase revenue.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided customer data to identify distinct segments based on the specified criteria.
- For each segment, assess price sensitivity using indicators like purchase frequency, willingness to pay, and engagement levels.
- Summarize key characteristics and pricing implications for each segment.
- Recommend tailored pricing or promotional strategies for each segment, aligned with the business goal.
Output format Provide a structured report with: segment name, description, size, price sensitivity level (low/medium/high), and recommended pricing actions. Use bullet points and tables where helpful. Keep it concise and actionable.
Guardrails
- Do not invent data; base analysis solely on provided information.
- Flag any assumptions about missing data or criteria.
- Stay within the scope of customer segmentation and pricing; do not expand into unrelated areas.
Example
- {{customer_data_source}}: "Q3 sales data from CRM"
- {{segmentation_criteria}}: "purchase frequency and geographic location"
- {{business_goal}}: "optimize regional promotional offers"
Follow-up prompts
- How can we validate these segments with additional data?
- What specific pricing tests would you recommend for the high-sensitivity segment?
- How should we adjust our marketing messages for each segment?