How We Build Reliable Event & Exhibitor Data
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From confirmed event participation to verified, campaign-ready business Contacts.
We combine event intelligence, human research, independent data signals, verification, AI-assisted quality checks, and compliance review to build targeted event databases.
Event Intelligence · Human Research · Verification · AI-Assisted QA · Compliance Review
Where the Data Comes From
Event & Partner Sources
Confirmed exhibitors, affiliate partnerships, event-related sources, industry publications, exhibitor announcements, and partner networks help us identify participating companies.
Independent Research
Our research team analyzes event themes, exhibitor information, and historical participation to identify relevant companies and decision-makers.
Public & Professional Sources
We research business directories, professional profiles, corporate resources, public filings, and other credible professional sources.
Attendee Sources
Attendee information may come through our event-industry and organizer partnerships, followed by our own accuracy and freshness processes.
*Event participation can change. Exhibitor counts reflect confirmed participation at the time of research and may increase as additional companies register closer to the event.
DATA QUALITY & VERIFICATION
Our 7-Step Data Verification Process
See our accuracy benchmarks and full data quality methodology
HUMAN RELEVANCE REVIEW
Is this person actually relevant?
- Job function
- Seniority
- Responsibilities
INDEPENDENT SIGNAL CONFIRMATION
One signal isn't enough.
- Experience
- LinkedIn signals
- Certifications
CONTACT INFORMATION VERIFICATION
Is the contact information valid and reachable?
- Email validation
- Phone verification
- Format & syntax check
company and role validation
Does the company and role exist and make sense?
- Company verification
- Role validation
- Department check
DATA ENRICHMENT & CONSISTENCY
Adding context and ensuring consistency.
- Additional data points
- Cross-field consistency
- Standardization
AI-ASSISTED QUALITY CHECKS
Technology + automation for accuracy.
- Pattern recognition
- Duplicate detection
- Risk scoring
COMPLIANCE REVIEW
Final gate before delivery.
- CAN-SPAM
- GDPR
- Regional requirements
VERIFIED. REVIEWED. READY FOR DELIVERY
High-quality data you can trust to drive real results.
Why Human Research Comes First
Our process starts with human validation. Researchers evaluate the person’s role, responsibilities, professional signals, and company context before the record moves into automated quality checks.
AI and machine learning are then used as an additional quality-control layer — helping identify duplicates, inconsistencies, and anomalies at scale.
AI doesn't replace our researchers. It works after them.
Human Research
Identifies whether the contact is actually relevant.
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Independent Signals
Provides additional evidence of relevance.
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Verification
Checks recency, employment, company fit, and reachability.
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AI / ML Quality Layer
Finds patterns, duplicates, inconsistencies, and anomalies.
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Compliance Review
Provides the final gate before delivery.
EVENT-TO-DATA PROCESS
From Event to Campaign-Ready Data
A simple process behind every targeted event database.
We start with the specific event, its industry, audience, and participation landscape.
We identify companies that have confirmed participation and relevant organizations connected to the event.
We research and evaluate companies against the targeting criteria.
We identify relevant people within those organizations based on role, responsibility, and relevance.
We build out the relevant business and contact information.
Records move through our 7 – step process which includes verification and validation process