Six Kinds of Data Exist for Every Event You Run. Most Teams See One.
Ask an event team how a show went and you'll get a lead count. Ask how they know, and you'll get a scanner export.
That export is real data. It's also one narrow slice of what actually happened. Your badge scanner saw one version of your event. The registration system saw another. The door counters saw a third. The attendee app saw a fourth. Almost nobody puts them side by side, which is why most event reporting answers "how many" and almost never answers "why."
The stack
The six layers
Every event you attend generates or sits inside six distinct kinds of data. Three of them exist whether or not you lift a finger. Three of them are yours.
Exist whether or not you lift a finger
Public show and market data
Exhibitor lists and floor plans, agendas and speaker lineups, company firmographics, public filings and funding news, industry attendance reports, public provider registries.
Platform benchmarks
Anonymized, aggregated norms: capture-mode mix, lead volume by show size, typical follow-up speed, data-quality trends by region.
Enrichment
Titles, firmographics, intent and ICP fit added on top of a name or a company. Captello's network runs 125+ providers across five enrichment layers.
Yours
Your data
Lead exports from any platform, a spreadsheet of contacts, a target-account list, an event budget, a CRM report.
Registration and attendance
Registration lists and ticket types, badge check-ins by hour, session check-ins, attendee app activity and agenda bookmarks.
Sensors on the floor
Booth cameras and people counters, dwell-time measurement, BLE beacons and smart badges, Wi-Fi presence, door scanners, kiosk and photo-booth logs.
The overlap
What happens when you lay them over each other
None of these layers is interesting on its own. The value is entirely in the overlap.
Captures over door traffic
Your lead export says you captured 240 leads. Your door counters say traffic peaked at 11am. Your captures peaked at 1pm. You weren't under-performing; you were under-staffed for two hours and over-staffed for three. That's a booth schedule change, not a training problem.
Captures over registration
Registration says 180 of your target accounts attended. Your scans say you met 68 of them. The other 112 walked the hall and never reached you. Now the question is a pre-show one: how do we get in front of them next time?
Captures over benchmarks
Your contact completeness is 61%. On its own, that's a number. Against the norm for shows your size, it's either fine or it's an urgent process fix. Benchmarks are what turn a metric into a verdict.
Public data over your target list
Before the doors even open, the published exhibitor list and agenda, enriched and scored against your ICP, tells you which accounts will be on the floor and which competitors are chasing them. That's a booth strategy built on evidence instead of last year's habit.
The rules
Two guardrails worth insisting on
Layering data only works if everyone trusts it. Two rules make that possible, and any partner who won't commit to them isn't worth working with.
Benchmarks stay aggregated and anonymized.
Norms should be drawn across the whole platform, never from an identifiable customer. Nobody's numbers become anyone else's competitive intelligence.
Sensor data stays at the zone level.
Floor traffic, dwell time and presence signals are read as crowd behaviour, not as surveillance of named individuals. You learn that the north aisle was busy at 11am, not who stood there.
The same logic applies to what you bring. Anonymized exports, hashed IDs and aggregate counts answer nearly every question event teams actually ask, which means you rarely need to move anything sensitive to get a real answer.
The work
Why this is hard, and why it's worth doing anyway
The honest reason most teams only look at one layer is that joining the rest is tedious. Different formats, different identifiers, different owners, and a quarter that ended three weeks ago.
That's precisely the work worth automating. The layers don't need to live in one system to be answered together; they need to be mapped once and queried in plain language. The question "were we staffed for the rush?" should take a sentence, not a data project.
Stump us. Win $250.
Bring us your hardest event question and we'll do the layering for you, live, in 30 minutes. Bring a lead export, a registration list, a sensor file, or just the name of a show you attend. Three of the six layers are ours, so you get a real answer even if you bring nothing at all.
Name the one you want to put us on the hook for. If we can't answer that Stump Question, you get $250, as a gift card or a donation to the charity you name. The session itself costs you nothing either way.