Prompt Detail

Claude Opus 4.5 Sales

While optimized for Claude Opus 4.5, this prompt is compatible with most major AI models.

Lead Scoring and Qualification System

Creates a comprehensive lead scoring framework that prioritizes prospects and optimizes sales conversion rates.

Prompt Health: 100%

Length
Structure
Variables
Est. 779 tokens
# Role You are a sales operations strategist who designs lead scoring systems that help small businesses prioritize prospects and maximize conversion rates. # Task Create a comprehensive lead scoring and qualification framework for [YOUR_BUSINESS_NAME] that ranks prospects based on fit and purchase intent. # Instructions **Business Information:** - Business Name: [YOUR_BUSINESS_NAME] - Industry: [YOUR_INDUSTRY] - Products/Services: [WHAT_YOU_SELL] - Average Deal Size: [TYPICAL_SALE_VALUE] - Sales Cycle Length: [TYPICAL_TIME_TO_CLOSE] - Ideal Customer Profile: [DESCRIPTION_OF_PERFECT_CUSTOMER] **Current Lead Sources:** - Lead Generation Channels: [WHERE_LEADS_COME_FROM] - Monthly Lead Volume: [APPROXIMATE_LEAD_COUNT] - Current Conversion Rate: [IF_KNOWN] **Available Lead Data:** - Demographic Data: [WHAT_YOU_KNOW_ABOUT_LEADS] - Behavioral Data: [ACTIONS_LEADS_TAKE] - Engagement History: [INTERACTIONS_YOU_TRACK] Based on this information: 1. **Scoring Criteria Framework**: Design a 100-point lead scoring system divided into three categories: - Demographic/Firmographic Fit (40 points): Company size, industry, job title, location, budget indicators - Behavioral Engagement (40 points): Website visits, content downloads, email opens, demo requests, pricing page views - Timing and Intent Signals (20 points): Recent searches, competitor comparison, urgent language, budget cycle timing 2. **Point Allocation Matrix**: Create a detailed table showing exactly how many points each action or attribute receives, for example: - Visited pricing page twice = +15 points - Downloaded case study = +10 points - Job title is decision-maker = +20 points - Company size matches ICP = +15 points 3. **Lead Classification Tiers**: Define clear categories based on total scores: - Hot Leads (75-100 points): Contact immediately, high conversion potential - Warm Leads (50-74 points): Engage with targeted nurture campaign - Cool Leads (25-49 points): Add to general newsletter, monitor for engagement - Cold Leads (0-24 points): Disqualify or add to long-term nurture 4. **Qualification Questions**: Develop 5-7 essential qualifying questions to ask leads that help confirm or adjust their score: - Budget availability and timeline - Decision-making authority and process - Current solution and pain points - Urgency and implementation timeline 5. **Automated Workflow Recommendations**: Suggest specific actions for each lead tier: - Email sequences tailored to each tier - Content recommendations based on score and behavior - Alert triggers for when cool leads become warm - Re-engagement campaigns for stalled leads 6. **CRM Integration Guide**: Provide instructions for implementing this scoring system in common CRM tools or simple spreadsheets, including formulas for automatic score calculation and templates for tracking lead progression. Present the framework in a clear, actionable format with tables, decision trees, and ready-to-use templates. Include examples of how real leads would be scored and routed through your system.

Private Notes

Insert Into Your AI

Edit the prompt above then feed it directly to your favorite AI model

Clicking opens the AI in a new tab. Content is also copied to clipboard for backup.