How people actually move through your space, and what to do about it.
Case study Inside a real deployment →
| # | Visitor | Category | Zones | Dwell | Returns | Score | Notes | Contact |
|---|---|---|---|---|---|---|---|---|
| 1 | J. Keller | Buyer | 6 | 18m 12s | 3 | 92 | Asked for pricing twice | |
| 2 | M. Suarez | Buyer | 5 | 14m 40s | 2 | 81 | Wants a pilot in Q1 | |
| 3 | R. Tan | Partner | 4 | 12m 05s | 2 | 74 | Intro to their ops lead | |
| 4 | A. Volkov | Buyer | 4 | 9m 58s | 1 | 63 | Returned after the keynote | |
| 5 | L. Meyer | Exhibitor | 3 | 8m 31s | 1 | 58 | Comparing two vendors | |
| 6 | P. Nakamura | Partner | 3 | 7m 12s | 1 | 49 | Budget confirmed | |
| 7 | S. Okafor | Press | 2 | 6m 04s | 0 | 41 | Writing a piece on the show | |
| 8 | D. Fischer | Buyer | 3 | 5m 47s | 1 | 38 | Needs a security review | |
| 9 | C. Almeida | Partner | 2 | 5m 12s | 0 | 34 | Passed to partnerships | |
| 10 | N. Petrov | Exhibitor | 2 | 4m 38s | 0 | 31 | Left contact at the stand | |
| 11 | H. Lindqvist | Buyer | 2 | 4m 02s | 0 | 27 | Follow up next quarter | |
| 12 | G. Rossi | Partner | 2 | 3m 26s | 0 | 23 | Short visit, low intent |
Ranked by real engagement, not by who got scanned. Illustrative names and scores.
Interactive demo, running on simulated data.
All of it from the same model underneath. Three very different reasons to care.
Every consented visitor ranked by real engagement, the same day, plus a cost per qualified lead for the budget review.
What exhibitors get →Understand how to price what, see which hall needs staff before the doors close, and redesign next year's layout on evidence.
What organizers get →Guidance to the stands worth their time, and a recap worth keeping. Without that, nobody opts in.
What visitors get →Nobody opts in for nothing. So we built what they actually want: help while they are there, and something worth keeping afterwards.
Visitors already wear a badge. Scanning its QR opens a page. Nothing to download.
Where to go next, who's worth meeting nearby, and which hall is about to fill up. It updates as they walk.
A shareable summary of everything they saw and who to follow up with, which quietly markets your next edition.
It ships as an SDK in your loyalty app. No download to sell, and the opt-in is already signed.
What they saved online, which aisle it is in this store, and an offer that makes sense while they are standing there.
What they browsed, bookmarked and actually bought feeds the same profile, so the next recommendation knows what happened on the shop floor.
The ticket or boarding pass they already scanned opens it. Nothing to install.
The shorter queue, the emptier concourse, the kiosk with nobody at it, and how long they really have.
Moving people away from the crush fills the quiet half of the building, which is where the revenue was sitting idle.
Good morning, Sam
Three things worth your time today
Strong match with your interest in robotics and automation.
Your route
Avoiding the queue at Hall 7 entrance
Ask anything
It knows the floor and your list
Your recap
Everything you covered
You saw more of the floor than 84% of attendees.
Afternoon, Sam
Your list, sorted by aisle
You bookmarked this in the app a fortnight ago and walked past it.
Your route
Six items, one loop, no backtracking
Ask anything
It knows this store and your basket
This trip
And what it means for the next one
From offers on things you already buy.
Evening, Sam
Gate B14 boards in 48 minutes
Central is at 22 minutes right now. North puts you airside with time to sit down.
Your route
Around the crowd at Pier A
Ask anything
It knows the building and your flight
Your journey
Door to gate
Against the route the signage would have sent you.
However the visitor already reaches you. We don't require a new habit.
No install at all. Scan the tag, get the co-pilot in a browser. The lowest-friction route, and usually the highest opt-in.
For operators who want the full experience under their own brand.
Drop it into an app they already open: an event app, a loyalty app, an airline app. It appears where they already are.
Design concept. We're showing the direction before we build it. Sample content throughout. Tap the bottom bar to move between screens.
The same model answers things a headcount never could.
Sample values on real country boundaries.
Your engaged audience skews Investigative and Enterprising: people who came to evaluate, not to browse. That one fact reshapes the programme.
Built from sign-up details visitors agreed to share, never guessed from movement alone. Sample values.
Every venue already counts who came in. The harder question is what happened inside.
| Method | Knows who | Where they went | How interested | With consent | Works live |
|---|---|---|---|---|---|
| TRAKKER | If they agree | Every step | Measured | Four levels | Yes |
| Badge scans | Yes | At scan points | No | Yes | No |
| People counters | No | At the door | No | Anonymous | Counts only |
| Wi‑Fi & Bluetooth | No | Roughly | No | Hard to ask | Partly |
| Cameras | No | Only in view | A little | Usually not | Yes |
| Exit surveys | Yes | From memory | What they say | Yes | No |
37% of exhibition organizers say their format needs a full update, with visitor engagement their joint top priority. UFI Global Exhibition Barometer, 378 companies across 57 countries.
A dashboard reports last week. The model tells you what to do next.
Movement located in real time, to sub-metre precision. Accurate enough to credit a specific stand, not just a hall.
The model reads the behavior underneath: approach, glance, dwell, hesitation, return, bounce. The whole visit, not one scanpoint.
The move, not the chart. Call this lead first. Send staff to the hall that is filling.
A European investor's flagship event, measured end to end, in real time. They walked in with headcount as their only metric.
They walked out knowing which groups engaged, where, and for how long, then redesigned the next year's layout around it.
Illustrative proportions only.
"Working with TRAKKER at [our flagship event] 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."
The same stack moves to any space where people walk, queue and decide. A shop floor, a terminal, a concourse: the building changes, the behavior does not.
Hand the tag back. Nothing is recorded.
Movement with no identity attached to it.
Grouped by ticket type, never by person.Recommended baseline
Named, and only ever by explicit opt-in.
Most of the value arrives long before anyone is named.
Identity is never the default. The baseline holds no personal records, and naming anyone takes an opt-in that can be withdrawn.
In four steps. Sensors locate movement in real time, to sub-metre precision. The model then reads the whole visit rather than a single scanpoint: approach, dwell, hesitation, return.
From that it infers intent while the event is still running. With consent, the behavior links to a real identity and becomes a ranked lead, a live alert or a layout decision.
Yes, and it's designed that way rather than retrofitted. TRAKKER runs a four-tier consent model.
The recommended baseline is category-level intelligence under legitimate interest. It holds no personal records, and still answers most of what a floor needs to know.
Linking behavior to a named individual sits one tier above, requires explicit opt-in, and can be withdrawn. We are built and operated in Berlin, under EU law.
No. The model reads position and movement, not faces or images.
Where a space already runs cameras, that signal can feed in as one more input. The intelligence layer never depends on identifying anyone by appearance.
Yes. A REST API for ingest and retrieval, webhooks for live event-driven signals, and full export into your CRM, BI tooling or data warehouse. Data flows both ways, and the data stays yours.
Wherever you want it. We sign a data processing agreement before anything goes live, encrypt what we hold, and run it on the servers of your choice, your own included.
Nothing is sold on and nothing is pooled with another client. You can take an export and walk away at any point.
We charge usage-based, per square metre per day. You pay for the floor you switch on and the days you run it, so a single hall for a single day is a real deployment rather than a year-long bet.
We put the number against your own floor plan in the demo. We are also taking on pilot and design partners this season.
We walk you through the live model on your own floor plan. Pilot slots are open this season.
