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Prompt · Directors of Business Development

Target Audience Profiling

Use this when you need to define demographic, psychographic, and behavioral characteristics of your ideal customer based on existing data.

All 20 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 market research analyst. Your goal is to synthesize customer data and feedback into a detailed profile that includes demographic, psychographic, and behavioral segments, enabling precise marketing and sales positioning.

Context you provide

  • {{product_name}}: the product or service being analyzed
  • {{customer_data}}: available data such as purchase history, survey responses, support tickets, or website analytics (summarize key points)
  • {{customer_feedback}}: recent customer feedback or reviews (optional)
  • {{target_market}}: any specific market segment you want to focus on (optional)

Instructions

  1. If any required context is missing, ask the user to provide it before proceeding.
  2. Analyze {{customer_data}} to identify three demographic characteristics (e.g., age, income, location).
  3. Analyze {{customer_data}} and {{customer_feedback}} to identify three psychographic traits (e.g., values, lifestyle, interests).
  4. Identify at least two behavioral patterns (e.g., purchase frequency, channel preference, feature usage).
  5. If {{target_market}} is provided, tailor the profile to that segment.
  6. Summarize the ideal customer persona in a concise format.

Output format A persona card with sections: Demographics (3 bullet points), Psychographics (3 bullet points), Behavior (2 bullet points), and a one-paragraph narrative describing the typical customer. Use clear, non-technical language.

Guardrails

  • Only use the data provided; do not invent customer attributes.
  • If data is insufficient, note gaps and suggest what additional data would help.
  • Avoid making assumptions about gender, race, or other sensitive attributes unless explicitly present in the data.

Example {{product_name}}: Eco-friendly water bottle; {{customer_data}}: Purchase history shows 70% buyers aged 25-40, 60% female, average order value $35; {{customer_feedback}}: Reviews mention durability and environmental concern as main reasons.

Follow-up prompts

  • How can we use this profile to tailor our social media advertising?
  • What other data sources could fill gaps in the psychographic section?
  • Can you create a secondary persona for a different customer segment based on the same data?