Case study

From check-ins to
event intelligence.

How the High‑Tech Gründerfonds Family Day measured engagement across four distinct visitor groups, and what that means for any high-intent commercial space.

Published with client consent
No KPI values disclosed
Illustrative visuals only
The story

They could count check-ins.
Nothing else.

High‑Tech Gründerfonds runs one of Europe's larger investor community events: a full day, several halls, four audiences with very different reasons for being there.

They had check-ins, a contact list and a survey. What they lacked was the event itself: the hours between the door and the exit.

What existed before
1
Check-ins
2
Contact list
3
Post-event survey
What was missing
Everything between the door and the exit
The challenge

Six decisions they could not make.

Which areas attracted the most attention?
Where did visitors engage, and for how long?
How did behavior differ between audience groups?
Which zones created deeper dwell time?
Where did people glance, return, or bounce?
How could event value be measured beyond headcount?
The goal was never to replace the existing data. It was to move from attendance reporting to behavioral intelligence.
Engagement by group and zone
A
Investors
B
Ecosystem
C
Industry
D
Portfolio

Illustrative pattern, not client values.

Audience intelligence

Four visitor groups. One behavior model.

Instead of treating the room as one generic audience, each group was tracked as its own analytics dimension: across zones, over time, and by depth of engagement.

The question shifted from "who came to the event?" to "which groups showed interest, and where?"

A
InvestorsAttention, portfolio relevance, funding interest.
B
EcosystemPartners, networks, community value.
C
IndustryCorporate and partnership interest.
D
PortfolioFounder participation and engagement.
What was measured

What it let them do differently.

Interest was read not from presence alone, but from behavioral signals indicating different depths of intent. The same primitives apply in any space: pass by, approach, glance, dwell, engage, return, bounce, exit.

Audience intelligence Category distribution and groups over time.
Engagement quality Attraction rate, glanced, engaged, bounce rate, average dwell, funnel.
Zone performance Floor plan view, zone ranking, visitors and dwell time per zone.
ROI & event value Total engaged time, engagement per m², cost per engaged visitor.
The transformation

From headcount reporting to a repeatable model.

The value was never a single number. It was walking into the next planning meeting with evidence instead of opinions.

Before
After
Attendance measured through check-ins
Visitor behavior measured across the whole event space
One overall view of attendance
Category-level intelligence across four audience groups
Contact data used operationally, in a spreadsheet
Visitor categories used as a live analytics dimension
Feedback mainly from a post-event survey
Behavioral signals: glance, engagement, dwell, return, bounce
No structured comparison between zones
Zone-level performance, broken down by visitor category
Headcount-focused reporting
Event intelligence and value-oriented reporting
Outcome

A repeatable model for event intelligence.

By the end they could see how flow developed hour by hour, which areas drew which audiences, and where people bounced.

They arrived with no success metrics. They left with a list of new questions.

"Working with TRAKKER at the HTGF Family Day was a fantastic experience. By categorizing participants and utilizing movement tracking, we gained valuable data-driven insights into attendee engagement. Yuting, Alex and Ahmed provided exceptional support throughout both the planning phase and live on-site execution."

High‑Tech Gründerfonds · Family Day
Your space

The same blind spot, everywhere

Every high-intent space can count who entered. The harder question is what happened inside. This framework translates directly.

RetailShopper segments, aisle zones, dwell, purchase intent.
Airports & transportPassenger types, gate and retail zones, dwell-to-conversion.
Venues & museumsExhibits as zones, dwell ranking, layout decisions.
Trade showsBooth and product zones, attendee categories, lead depth.
Commercial real estateEngagement per m² as evidence of space productivity.
Corporate campusesCollaboration zones made measurable, by team type.

What would this look like at your event?

We'll walk you through how this framework would apply to your floor plan.

Published with the client's consent. No actual KPI values from the deployment are disclosed on this page; all figures and visuals shown are illustrative.