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Lead Scoring and MQL Definition Agreed With Sales
Prompt
What we sell: {{WHAT_WE_SELL}}
Signals we actually capture (form fields, page visits, email clicks, product events): {{AVAILABLE_SIGNALS}}
Recent leads, one row each: signals shown and outcome (won, lost, no response): {{LEAD_HISTORY}}
Number of weeks LEAD_HISTORY covers: {{HISTORY_WEEKS}}
Sales team's stated view of a good lead: {{SALES_DEFINITION}}
Leads sales can follow up per week: {{SALES_CAPACITY}}
Rules:
- Score only signals in AVAILABLE_SIGNALS, split into fit (who they are) and intent (what they did).
- Set points from LEAD_HISTORY: for each signal, show how many leads had it and how many were won. Signals on fewer than 10 leads: mark [LOW COUNT], no points.
- Set the MQL threshold so expected weekly MQLs (leads in the history at or above it / HISTORY_WEEKS) stay within SALES_CAPACITY. Show that division.
- Where sales' view and the data disagree, show both.
Output:
1. Scoring table: signal | fit or intent | points | evidence (number with it, number won).
2. Definitions: lead, MQL, sales-accepted, recycled, disqualified.
3. Service-level agreement: follow-up time [AGREE], what sales reports back, when a lead returns to marketing.
4. Disagreements to settle in the meeting.
5. Review date and what would trigger a rescore.
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About this prompt
“Lead Scoring and MQL Definition Agreed With Sales” is a free prompt for ChatGPT in the Marketing category, 213 words long, added to The Prompt Index on November 11, 2026 by The Prompt Index. Copy it with the button above, paste it into ChatGPT or any other AI chat assistant, and send it.
It has 6 placeholders to fill in first:
{{WHAT_WE_SELL}}, {{AVAILABLE_SIGNALS}}, {{LEAD_HISTORY}}, {{HISTORY_WEEKS}}, {{SALES_DEFINITION}}, {{SALES_CAPACITY}}.
Use the “Customize this prompt” fields to personalise it before you copy.
Recommended models: ChatGPT, Claude, Gemini.
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