linkedin-lead-scoring-framework

LinkedIn Lead Scoring Framework

Purpose

Help advertisers build lead scoring models that distinguish high-intent buyers from casual form fillers on LinkedIn. The platform's high CPLs (€30-150+) make lead quality critical — a 10% improvement in MQL-to-SQL conversion typically saves more than a 20% CPL reduction. This skill provides scoring matrices, qualification frameworks, and cost analysis models to optimize for pipeline, not just leads.

When to Use This Skill

Invoke when user mentions:

• Lead quality: "My LinkedIn leads aren't converting to sales"
• Lead scoring: "How do I score LinkedIn leads?"
• MQL/SQL: "What's a good MQL to SQL rate for LinkedIn?"
• Cost per qualified lead: "My CPL is too high but leads are bad"
• CRM integration: "How do I get LinkedIn lead data into my CRM?"
• Form optimization: "Should I add more fields to qualify leads?"

Required Tools

Tool	Purpose
linkedin_get_analytics	Pull lead metrics, cost data, and conversion analytics

---

Part 1: Lead Classification Hierarchy

Definitions for LinkedIn Advertising

RAW LEAD
├── Anyone who submits a LinkedIn Lead Gen Form
├── No qualification applied
├── Metric: CPL (Cost Per Lead)
└── LinkedIn benchmark: €30-150 depending on industry/geo

MARKETING QUALIFIED LEAD (MQL)
├── Passes demographic + behavioral scoring threshold
├── Matches ICP on firmographics (company size, industry, seniority)
├── Shows intent beyond form submission (content consumption, repeat visits)
├── Metric: CPMQL (Cost Per MQL)
└── Benchmark: 40-65% of raw leads should qualify as MQL

SALES ACCEPTED LEAD (SAL)
├── Sales team verifies MQL data and accepts for follow-up
├── Contact info is valid, company is real, timing is plausible
├── Metric: MQL-to-SAL rate
└── Benchmark: 70-85% of MQLs should be accepted

SALES QUALIFIED LEAD (SQL)
├── Sales confirms genuine buying intent through conversation
├── Has budget, authority, need, and timeline (BANT qualified)
├── Metric: SAL-to-SQL rate
└── Benchmark: 30-50% of SALs qualify as SQL

OPPORTUNITY
├── SQL enters sales pipeline with defined deal value
├── Metric: SQL-to-Opportunity rate
└── Benchmark: 50-70% of SQLs become opportunities