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.
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.
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
- Ask for any missing inputs.
- Define a scoring system: assign weights to each criterion based on your business type.
- Propose a workflow for automatically scoring leads as they enter the system, including triggers for follow-up actions.
- Suggest how to measure accuracy and refine the system over time (e.g., A/B testing, feedback loops).
- 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?