COMMITTEE_PROTOCOL_01 // PROTOCOL_SPEC
Title-to-Role Mapping Rules
The logic that translates thousands of job titles into four functional committee roles. We normalize persona data so your sequences always hit the right functional lens.
The Title Fragmentation Problem
Enterprise job titles are inconsistent and noisy. If your media treats every 'Manager' or 'Director' the same, you fail to address the specific technical, economic, or strategic motivations that actually move a deal.
CRITICAL FAILURE MODES
- ✕ Economic buyers receive technical 'how-to' ads
- ✕ Functional champions are missed because their titles are non-standard
- ✕ Programmatic spend is wasted on roles with zero deal-influence
Mapping & Normalization Logic
PERSONA INPUTS
Raw Job Title (LinkedIn/Enrichment)
Department / Sub-Function
Seniority Level (C-Level to Individual)
Historical Win-Role Correlation
→
GOVERNED ROLE
Economic | Technical | Champion | User
Logic: [Title Keyword] + [Seniority] + [Function] → Assigned Role
PLATFORM ON (LinkedIn / 6sense / Apollo)
We deploy title clusters and department filters directly into platform audiences to ensure 1:1 role alignment.
Rule: Title CONTAINS ['CFO', 'Finance'] AND Seniority ≥ Director → Economic Buyer
PLATFORM OFF (CRM / Manual Manifest)
We provide a regex-based title mapping sheet that normalizes your CRM contacts into committee roles for manual list uploads.
Rule: If Department = 'IT' AND Title NOT CONTAINS 'Support' → Technical Evaluator
Artifacts You Receive
- ✓Title-to-Role Mapping Master Regex
- ✓Committee Role Taxonomy Definitions
- ✓Role-Based Seniority Thresholds
- ✓Functional Department Mapping Schema
Implementation Steps
WK 1
Export title lists from CRM and identify top 80% of volume for normalization.
WK 2
Apply the Mapping Rules to categorize contacts into the 4 committee roles.
WK 3
Push normalized role data to activation platforms and validate audience match rates.