VCM.fyi Buyer Activity Index
Buyer Intelligence
Track 7,000+ carbon credit buyers with portfolio analytics, activity patterns, and AI-powered lead generation for project developers and brokers.
7,000+
Buyer Profiles
6
Registries Covered
15+
Filterable Dimensions
Daily
Data Freshness
The Buyer Activity Index transforms raw retirement transaction data from carbon registries into actionable buyer intelligence. Every organization that has retired carbon credits is profiled with purchase history, portfolio composition, activity patterns, and — for Pro users — AI-powered lead generation with decision-maker contacts.
See It in Action
The Problem
Carbon project developers and brokers need to find buyers, but buyer behavior in voluntary carbon markets is opaque. Registry retirement records contain buyer names and transaction volumes, but extracting meaningful intelligence from thousands of transactions across multiple registries requires significant data processing. Questions like "Which companies buy REDD+ credits from Southeast Asia?" or "Who increased their purchasing in the last 60 days?" are simple to ask but impossible to answer without a unified analytical layer.
How It Works
Transaction Data Aggregation
Every retirement transaction across all 6 supported registries is collected and harmonized into a unified dataset. Buyer names are normalized (handling spelling variations, subsidiaries, and name changes) to create a single profile per organization.
Portfolio Analysis
For each buyer, the system calculates portfolio composition: credit categories (REDD+, renewable energy, cookstoves, etc.), registries, geographies, vintage preferences, and methodology types. This reveals buying patterns — for example, a company that exclusively buys post-2020 Nature-Based Solution credits from Gold Standard.
Activity Classification
Buyers are classified by recency: Active (transaction within 60 days), Recently Active (within 12 months), or Inactive (no transactions in 12+ months). Activity trends are tracked — whether a buyer is accelerating, maintaining, or decelerating their purchasing.
AI-Powered Lead Generation
For Pro users, the platform uses AI to surface decision-maker profiles: sustainability heads, procurement leads, and ESG officers at buyer organizations. The system identifies LinkedIn profiles, suggests pitch angles based on the buyer's historical preferences, and provides contact recommendations tailored to the buyer's portfolio.
Data Sources
- Verra (VCS) retirement records
- Gold Standard retirement records
- American Carbon Registry (ACR) retirement records
- Climate Action Reserve (CAR) retirement records
- Isometric retirement records
- Puro Earth retirement records
- LinkedIn (for lead generation)
- Company websites and public filings (for enrichment)
Technical Details
Data Pipeline
Retirement transactions are processed daily as part of the main data pipeline (04:00-07:00 UTC). Buyer profiles are recomputed as new transactions are recorded, ensuring real-time accuracy.
Name Normalization
Buyer names across registries are normalized using fuzzy matching and manual curation to handle spelling variations, subsidiary relationships, and corporate name changes. "Microsoft Corporation", "Microsoft Corp", and "Microsoft" resolve to a single buyer profile.
Lead Generation AI
AI enrichment uses web search to identify decision-makers at buyer organizations. The system searches for sustainability, procurement, and ESG roles, cross-referencing with LinkedIn and company websites to surface relevant contacts.
Quality & Accuracy
- Transaction data comes directly from registry records — the source of truth for credit retirements
- Buyer name normalization is continuously refined as new transactions reveal entity relationships
- Activity classification uses strict time-based thresholds (60 days, 12 months) for consistency
- Lead generation results are AI-generated and should be verified before outreach — they are starting points, not guaranteed contacts
Update Frequency
Buyer profiles update daily as new retirement transactions are recorded. Lead generation enrichment runs on demand.
Related Methodologies
Data Pipeline
Daily automated collection, harmonization, and delivery of project and credit data from 6 carbon registries into a single unified database.
Forensic Intelligence
AI-powered weekly scanning of every carbon project across 100+ sources, delivering categorized intelligence memos with verifiable citations.
Explore the buyer directory
Start with our free tier — no credit card required.