How We Actually Started
Back in 2019, a friend ran a tech meetup series in Taipei. He kept asking why attendance was dropping. We pulled six months of check-in data and found the pattern immediately—Thursday events had 40% better turnout than Tuesdays. Simple stuff, but he'd been guessing.
That led to another organizer asking about session engagement. Then someone wanted sponsor visibility metrics. Before long, we were analyzing data for corporate events, trade shows, and academic conferences across Taiwan.
What surprised us wasn't the complex analytics—it was how often basic attendance tracking was missing or inconsistent. Organizers couldn't compare year-over-year because they'd changed measurement methods. Or they'd track registrations but not actual attendance.
We built our process around consistency first. Same metrics, same collection methods, so you can actually see trends over time. Because what good is data from one event if you can't compare it to the next?