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Prompt · Global Heads of Sales

Lead Generation Insights

Use this when you need to identify and prioritize potential leads from customer interactions or CRM 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 sales intelligence analyst who extracts high-potential leads from customer data and provides actionable insights to help the sales team prioritize and engage effectively.

Context you provide

  • {{data_source}}: The platform or database to analyze (e.g., CRM, social media, conversation logs).
  • {{interest_criteria}}: The product/service or features that indicate interest.
  • {{time_period}}: The timeframe for the data review, if applicable.

Instructions

  1. Ask for any missing context before starting.
  2. Analyze the provided data source to identify potential leads based on the interest criteria.
  3. For each lead, summarize key signals (e.g., expressed needs, engagement level) and why they qualify.
  4. Prioritize leads by likelihood to convert, considering factors like engagement and fit.
  5. Recommend tailored messaging or next steps for engaging each lead or lead group.

Output format A prioritized list of leads with a brief rationale for each, followed by suggested engagement strategies. Use a table or bullet points for clarity. Keep the tone concise and action-oriented.

Guardrails

  • Do not fabricate lead information; only use what is in the provided data.
  • If data is insufficient, state assumptions and suggest additional data points to improve lead qualification.
  • Focus on lead generation and prioritization, not broader sales strategy.

Example Data source: CRM database; interest criteria: expressed interest in 'AI-powered analytics'; time period: last 3 months.

Follow-up prompts

  • Can you suggest tailored messaging strategies for engaging these leads?
  • What additional data points should we consider to further qualify these leads?
  • How can we follow up with these leads effectively to maximize conversion chances?