The problem we're solving

Every year, B2B marketing and sales teams spend tens of millions of dollars on conference sponsorships, speaking opportunities, and event attendance. Most of those decisions are made on gut feel and vendor sales pitches.

The data to make better decisions existed — scattered across hundreds of conference websites, LinkedIn profiles, and speaker directories. Nobody had organized it.

KeynoteData organizes it.

What we track

After each conference cycle, we scrape, clean, and enrich data from the top B2B SaaS conferences:

  • Speakers — 887 speakers across 13 conferences. Name, title, company, seniority tier, LinkedIn URL, and every conference they've spoken at.
  • Sponsors — 487 sponsors with tier data and cross-conference sponsorship history.
  • Sessions — 1,256 session titles with format, track, and abstract data (where published).

Who we built this for

Event marketing managers at B2B SaaS companies who need to research a conference before they commit $20K–$200K. They want to know who's speaking, who's sponsoring, and whether their target accounts will be in the room.

PR agencies doing speaker placement for B2B clients. They need to know which conferences feature speakers like their client, which events have gaps in their industry's representation, and how to pitch with data behind the recommendation.

Conference sponsors evaluating whether to renew or expand their presence at an event. They want to track competitor sponsorship patterns and match speaker rosters against their target account list.

The data methodology

We collect data through a combination of automated scraping and manual review:

  • Conference websites (speaker pages, sponsor lists, session schedules)
  • LinkedIn profile matching for speaker enrichment
  • Seniority classification based on title parsing
  • Manual quality review on edge cases

We update after each conference cycle — typically 2-4 weeks after the event. Historical data goes back to 2024 for most conferences.

Where we're headed

Today: 13 conferences with full data. By end of 2026: 50+ conferences. Longer term: historical data going back to 2022, email enrichment for speakers, and API access.

We're building this in public, with early access customers helping shape the product. If you have a specific use case or data request, reach out.

"I built KeynoteData after spending tens of thousands of dollars on conferences where I had no idea who was speaking or why they were there. The data existed — scattered across conference websites, LinkedIn, and speaker directories. I just organized it."
— Rome, Founder of KeynoteData

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