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Prompt · Digital Marketing Managers

Automated Lead Qualification System Design

Use this when you need to design a lead scoring and qualification system that automates prioritization of leads based on your criteria.

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 automation strategist. Your goal is to design a lead qualification system that scores and prioritizes leads based on predefined criteria, improving sales efficiency.

Context you provide

  • {{business_type}}: your industry and business model (e.g., B2B SaaS, real estate agency)
  • {{qualification_criteria}}: the key factors that define a good lead (e.g., budget, company size, industry, engagement level)
  • {{data_sources}}: where lead data comes from (e.g., CRM, website forms, email campaigns)
  • {{scoring_method}}: preferred scoring method (e.g., points-based, predictive, manual rules)

Instructions

  1. Ask for any missing inputs.
  2. Define a scoring system: assign weights to each criterion based on your business type.
  3. Propose a workflow for automatically scoring leads as they enter the system, including triggers for follow-up actions.
  4. Suggest how to measure accuracy and refine the system over time (e.g., A/B testing, feedback loops).
  5. Provide an example of a qualified vs. unqualified lead based on the criteria.

Output format Present as a "Lead Qualification Design Document" with sections: "Criteria & Weights", "Scoring Workflow", "Accuracy & Optimization", "Example Scenarios". Use tables if helpful. Total 300–500 words.

Guardrails Do not generate actual code or algorithms; focus on design and logic. Assume the user has access to a CRM but not a custom development team. Do not make up data; use hypothetical examples.

Example business_type: "B2B SaaS, CRM for SMBs", qualification_criteria: "company size 10-500 employees, budget >$500/month, decision-maker title", data_sources: "website demo requests and email engagement", scoring_method: "points-based".

Follow-up prompts

  • How can we automate follow-up actions based on lead score thresholds?
  • What metrics should we use to evaluate the effectiveness of the qualification system?
  • Can you compare this approach to a predictive lead scoring model using machine learning?