B2B data, Global
Event & Association Rosters
Attendee, exhibitor, member and speaker lists for conferences and associations, deduplicated and enriched with verified contact.
Conference apps, exhibitor directories and association member pages are a rich, messy source. We extract them, deduplicate across the sessions and views the platforms serve (one show served the same people 3.2 times over), match to professional profiles and append verified email and mobile. A recent multi-conference pull produced 78,000 unique attendees.
Sample rows
Illustrative and synthetic. Real samples for your geography are a reply away.
| event | name | title | company | role_at_event | city | country | profile_match | work_email | mobile |
|---|---|---|---|---|---|---|---|---|---|
| AMA 2026 | K••••• P•••• | VP Marketing | R••••• Brands | Attendee | Chicago | US | Yes | k•••••@r•••••.com | (312) •••-••74 |
| ASE 2026 | A••• B•••• | Head of Growth | S••••• Labs | Buyer | Lisbon | PT | Yes | a•••@s•••••.io |
Schema
| Field | Type | Notes |
|---|---|---|
| event | text | non-personal |
| name | text | personal data |
| title | text | non-personal |
| company | text | non-personal |
| role_at_event | text | non-personal |
| city | text | non-personal |
| country | number | non-personal |
| profile_match | url | non-personal |
| work_email | personal data | |
| mobile | phone | personal data |
Abridged. The full data dictionary ships with every sample and lists every field, its fill rate and its source.
Used for
- Pre- and post-event outreach
- Sponsor and exhibitor prospecting
- Association marketing
- Competitive attendance analysis
How it is built
Each platform gets its own extractor. Records are deduplicated on name plus company plus event, then matched to the professional graph and verified.
Questions we get
Is this allowed?
We work from publicly viewable directories and app data you have legitimate access to, and we follow each platform's terms. We will tell you if a source is off limits.