Map the Real Decision Makers
Buying Group Composition identifies who matters inside a target account by classifying a large prospect universe into consistent buyer roles, assigning confidence, and organizing engagement around a practical buying-group model (core, secondary, extended influencers).
!The Problem
In complex enterprise deals, success depends on reaching the right people—not just “leads.” But contact data is messy, titles are inconsistent, and teams lack a scalable way to model buying groups and engagement tiers.
What It Does
Uses a five buyer-role model as the classification backbone and applies a buying-group composition model:
- 1Core Members (~50):Active when “in market”
- 2Secondary Group (~10x larger):Influences core decisions
- 3Extended Influence:Broader organizational awareness layout
Key Capabilities
Universal Ingestion
Prospect universe ingestion (supports multiple data-quality “tranches”)
LLM Classification
LLM-driven role classification with prompt iteration and output hygiene
Confidence Scoring
Confidence scoring to highlight where enrichment is needed
Operational Cadence
Run weekly/biweekly; deployable as a lightweight service (e.g., Lambda/API)
Outputs
- Role-assigned contact lists (by tranche), with confidence scoring
- Structured artifacts suitable for downstream segmentation and activation
Primary Users
- ABM Teams
- Demand / Field Marketing
- SDR/BDR
- RevOps
- Account Teams
Success Metrics
- Higher connect-to-meeting rates by targeting core/secondary buyers
- Reduced waste from “spray and pray” outreach
- Better alignment on who the buying group actually is