How a Global Fintech Brand Used Event App Data to Generate 1,000+ Qualified Leads from Money 20/20

The Challenge

The client's marketing team had a recurring problem: they sponsored major fintech conferences each year (Money 20/20 Asia, Money 20/20 Europe, and similar), but the lead capture process was structurally broken. Booth visitors got scanned and entered the CRM, but the bigger opportunity — the thousands of attendees who didn't visit the booth — was invisible.

Conference organizers' mobile apps showed full attendee lists with company names, titles, and (for some users) public LinkedIn handles. But manually scrolling through 8,000 attendees to identify the 200 ideal-customer-profile (ICP) matches was a one-week task no SDR had time for. And by the time the analysis was done, the event was over and the contact opportunity was cold.

The team needed automated, structured extraction of attendee data — at scale, fast enough to act during the event itself.

The Approach

Actowiz Solutions built a mobile-app data extraction pipeline specifically for the event apps used by Money 20/20 and similar conferences. The pipeline:

1. Captured the full attendee list within 24 hours of the event app going live (typically 1-2 weeks pre-event)
2. Extracted structured fields: attendee name, company, title, industry tags, and where publicly available, social profile handles
3. Refreshed the dataset at 12-hour intervals during the event itself to capture late registrants
4. Filtered by ICP criteria the client defined (specific industries, company size signals, seniority levels)
5. Delivered clean CSVs directly to the client's SDR team's enrichment workflow

Because event apps are designed for user-to-user discovery, the data was already structured — Actowiz's job was to extract it cleanly at scale without disrupting the app's normal operation, and to deliver it in a format the client's tools could ingest immediately.

The Solution Architecture

Mobile app scraping is meaningfully harder than web scraping — apps use different authentication flows, API patterns, and rate-limiting logic. Actowiz's pipeline used a combination of authenticated session management, distributed request infrastructure, and intelligent backoff logic to extract data reliably without triggering anti-abuse systems.

For each event, the client received a master attendee dataset (typically 5,000–15,000 attendees) plus a filtered ICP-only list (typically 200–800 high-value leads).

Results

• 1,000+ qualified ICP leads identified across the three events covered
• 6x faster lead identification vs. the previous manual booth-scout approach
• Lead identification completed before the event ended, giving the SDR team time to schedule in-person meetings during the conference itself
• ~80 booked meetings generated from the three events, attributed directly to data-extracted leads
• Pipeline impact measured in eight figures (USD) over the following 12 months from these events

Why This Matters For You

If your B2B marketing team sponsors industry conferences, you have a known structural inefficiency: most attendees never visit your booth, but their data is sitting in the event app. Manual processes leak 80%+ of the opportunity. Automated event app data extraction — done ethically and respecting platform terms — turns one conference into a 6-week lead-gen engine.

This pattern repeats across Money 20/20, Web Summit, SXSW, CES, Mobile World Congress, Gamescom, RSA, Black Hat, Dreamforce, and dozens of other industry conferences.