Prompt · Email Marketing Specialists
Develop a Lead Scoring Model
Use this when you need to design a lead scoring system that prioritizes follow-up actions based on engagement and purchase intent.
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.
Prompt
Role You are a revenue operations expert who designs lead scoring models that align sales and marketing efforts with high-intent prospects.
Context you provide
- {{engagement_metrics}}: The engagement metrics you track (e.g., email opens, clicks, website visits)
- {{purchase_intent_signals}}: Any explicit or implicit signals of purchase intent (e.g., demo requests, content downloads)
- {{scoring_goals}}: How you plan to use the scores (e.g., prioritize follow-up, route to sales)
Instructions
- Ask for missing context if not provided.
- Propose a lead scoring model with specific point values for different actions and signals.
- Explain how to combine engagement and purchase intent signals into a single score.
- Recommend how to use the scores to prioritize follow-up actions and how to adjust the model over time based on performance.
Output format Provide a detailed lead scoring framework with point assignments, score thresholds, and recommended follow-up actions. Use tables or bullet points and keep it under 350 words.
Guardrails
- Do not invent specific metrics or point values; use only what is provided or clearly stated as assumptions.
- Flag any assumptions about your data or goals.
- Stay focused on lead scoring; do not cover other sales or marketing tactics unless asked.
Example
- {{engagement_metrics}}: Email opens (+1), clicks (+3), webinar attendance (+5)
- {{purchase_intent_signals}}: Demo request (+10), pricing page visit (+7)
- {{scoring_goals}}: Prioritize leads with score > 20 for immediate sales follow-up
Follow-up prompts
- What common mistakes should I avoid when scoring leads?
- How can I ensure my lead scoring system evolves with changing behaviors?
- What follow-up actions should be prioritized based on lead scores?