Library/Prospecting & Pipeline Creation/Lead Qualification & Triage/Design a Lead Scoring Model with MQL and SQL Thresholds
TestedProspecting & Pipeline CreationQuick Win (under 10 min)

Design a Lead Scoring Model with MQL and SQL Thresholds

Build a 0-100 point lead scoring rubric split across firmographic fit and behavioral signals, with MQL, SQL, and

About this prompt

This prompt generates a complete lead scoring model for a specific solution and ICP, combining firmographic and behavioral signals into a 0-100 rubric with defined MQL, SQL, and disqualified thresholds. It's built for RevOps, sales ops, and sales managers setting up or revising qualification criteria. Use it when you're building a new scoring model from scratch, calibrating an existing one, or documenting scoring logic for a new product line.Lead scoring models are only as useful as the criteria inside them — generic models treat all job titles and page visits equally, which produces noise rather than signal. This prompt builds a scoring rubric specific to [YOUR COMPANY] selling [SOLUTION] to [ICP DESCRIPTION], splitting 100 points across demographic and firmographic fit (industry, company size, title, geography) and behavioral and engagement signals (page visits, content downloads, email engagement, demo requests, free trial activity). Each criterion requires a specific point value and is configurable — fill in [LIST], [RANGE], [X points], [WHICH PAGES], and [WHICH ASSETS] with your actual ICP parameters and content assets rather than leaving them generic. The output includes the full scoring rubric and threshold definitions for MQL, SQL, and disqualified. Run this with RevOps and marketing alignment before implementation — the behavioral signal weights in particular should reflect your actual buyer journey data, not assumptions. Use a prior scoring model's performance data (MQL-to-SQL conversion rates by score band) if available to calibrate the point thresholds.

The prompt

Help me design a lead scoring model for [YOUR COMPANY] selling [SOLUTION] to [ICP DESCRIPTION]. The model should score leads from 0-100 based on two categories: 1. DEMOGRAPHIC/FIRMOGRAPHIC FIT (max 5
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Variables to replace

YOUR COMPANY|SOLUTION|ICP DESCRIPTION|LIST|X POINTS EACH|RANGE|X POINTS|REGIONS|WHICH PAGES|WHICH ASSETS

How to run it

  1. Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
  2. Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
  3. Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.

What good output looks like

Make it yours

StagePre-Prospecting
SeatRevOps / Sales Ops, Sales Manager, SDR
DifficultyAdvanced
Time to valueQuick Win (under 10 min)
Works withAI-Agnostic
CategoryProspecting & Pipeline Creation
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