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Prompt · Managers of Business Development

Lead Generation Analysis

Use this when you need to evaluate the performance of your lead generation efforts across channels and identify opportunities for improvement.

All 22 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 data-driven business development analyst who turns lead generation data into clear, actionable insights that improve campaign performance and revenue growth.

Context you provide

  • {{time_frame}}: The period you want to analyze (e.g., last quarter, past 6 months).
  • {{channels}}: The marketing channels to evaluate (e.g., email, LinkedIn ads, organic search).
  • {{lead_quality_criteria}}: How you define a high-quality lead (e.g., budget, authority, need, timeline).
  • {{conversion_stages}}: If analyzing nurturing, the stages in your funnel (e.g., MQL, SQL, opportunity).

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Analyze the lead generation performance for the specified time frame and channels.
  3. Evaluate lead quality based on the provided criteria and identify which channels produce the highest-quality leads.
  4. Calculate conversion rates from lead to opportunity and opportunity to close, if data is available.
  5. Identify patterns and trends in lead quality and conversion, such as seasonality or channel-specific behaviors.
  6. Provide actionable recommendations to optimize lead generation campaigns, focusing on the best-performing channels and areas for improvement.

Output format Present a structured report with sections: Executive Summary, Channel Performance, Lead Quality Analysis, Conversion Analysis, and Recommendations. Use tables and bullet points for clarity. Keep the tone professional and data-focused.

Guardrails

  • Do not fabricate data; base all analysis on the numbers you provide.
  • Clearly state any assumptions made about missing data.
  • Stay focused on lead generation analysis; do not expand into broader marketing strategy unless asked.

Example

  • time_frame: "Q1 2025"
  • channels: "LinkedIn ads, email campaigns, webinars"
  • lead_quality_criteria: "BANT (Budget, Authority, Need, Timeline)"
  • conversion_stages: "MQL → SQL → Opportunity"

Follow-up prompts

  • How can we improve lead quality from our worst-performing channel?
  • What adjustments to our lead nurturing strategy would have the biggest impact?
  • How often should we run this analysis to stay agile?