Not for cash, and not as a spreadsheet. The actual value in an organiser’s attendee list gets extracted in ways that are never listed on an invoice, and, believe it or not, most contracts permit it.
Just look at how the market describes itself:
- One matchmaking provider advertises that its recommendations are built on billions of interactions happening across its platform. Across the platform means across every organiser on it.
- Another is sold on the basis that it analyses attendee profiles and behavioural data across events.
- A third category of supplier sells enriched attendee lists for shows it never ran, assembled from data gathered somewhere else.
Every organiser who signed with those suppliers has funded a product that is now being sold to the show competing with them for the same buyers.
Cristina Achim, Head of Product Management:
"We do not sell an organiser's attendee list, mine it across events, or use one organiser's audience to benefit another."
This sentence is the most useful thing I can tell an organiser halfway through a procurement process, because it can be written into a contract, tested and enforced.
One distinction underpins it: The organiser is the data controller and Visit is the processor. The organiser decides what is collected and why, and the attendee list belongs to them, not to us. When an organiser asks for their data to be exported or erased, we do it.
Worth separating out: an organiser running cross-event reporting over their own portfolio is doing something entirely different and entirely sensible. Their shows, their audience, their view across it. The practice worth interrogating is the one where the pool spans clients who have never met.
Every data point is a personal choice
A badge scan may become a row in a report, but onsite, it is a person who chose to show interest.
Behind every registration record, every session selection, meeting request or downloaded document is a signal about what a person needs. Organisers, exhibitors and attendees are not user groups. They are people whose time, attention and trust have to be earned.
Feeding those signals into a model that serves a different organiser’s show breaks that arrangement without anyone knowing about it.
That matters more than it used to. People are surrounded by information and increasingly unable to tell what is useful, relevant, or even real. Events offer something else: physical presence and interaction.
What each side wants from event data
In order to use that information effectively, we need to consider who it affects and define their interests. The three sides involved in an event measure success differently and any data strategy should start with this.
| Who | What they are actually trying to find out |
|---|---|
| Organisers | How many people attended. How many visits turned into leads. How many came back for a second day, and how long they stayed. |
| Exhibitors | Which leads are qualified. Which are the ones they actually interacted with, who answered the questions that matter to their business. |
| Attendees | Whether they achieved what they came for: conversations with exhibitors that fit, content worth their time, a seminar where they learned something. |
Read down the right-hand column and a pattern appears. Each side wants an answer to one specific question about the quality of a human interaction.
None of those answers requires data from another organiser’s show.
A fair exchange
I am not against commercial use of attendee data. That data is much of why events work, provided the exchange is relevant and transparent. If someone gives us information, it should come back to them as a better experience.
In practice that means more relevant recommendations, a clearer route through a large floorplan, fewer irrelevant messages, and introductions to organisations that actually match what they came for. This is what good event analytics should help you viusualize and measure.
We need to design event tech on the principle that a fair exchange earns better information over time, because people answer honestly when they can see what the answer is for. Routing that information into a cross-client pool breaks the exchange at the source, and the quality of what people tell you drops with it.
More data ≠ better insights
The argument for pooling is that scale produces better recommendations. False! Context produces better recommendations:
- A dwell-time figure means nothing on its own. But dwell time in a hall where the seminar theatre was relocated halfway through the show actually means something.
- A lead count means nothing on its own. A lead count separated by how the lead was created is something an exhibitor can act on fast.
- A badge scan at the stand, a Touchpoint lead capture during a conversation and a Scanpoint used to pull down a brochure are three different levels of intent, and reporting them as one number inflates the total and devalues the follow-up.
No volume of borrowed behavioural data from other shows supplies that distinction.
Certifications do not eliminate risk!
Certifications matter, but I would distrust anyone who presented them as a guarantee.
What a certification demonstrates is structured control and external accountability: processes that are written down, followed, and audited by someone with no stake in the answer. It does not demonstrate that a supplier has declined to monetise an audience, because no standard requires that decision. A company can hold every badge on the market and still treat an organiser’s attendee list as an asset on its own balance sheet.
So the audit trail is the ground floor. The questions that decide it are narrower: who owns the attendee list, where it is hosted, who inside the supplier can reach it, and what each field is for. We have published our own answers to seven questions I would put to a supplier, including our certifications and where the data sits.
The eighth question is the one this article is about, and it belongs in every procurement conversation from now on:
Does our data train models that serve your other clients? Our answer is no. No organiser’s audience improves a product sold to the show competing with them.
Technology should strengthen connections
The reason in-person events still matter is that they put people in the same room. Our job is to make that easier, helping someone find the right stand, the right session, the right conversation, and then to get out of the way.
The standard I believe event technology should meet is why we need a piece of data and what value it creates for the person who gave it to us. What we refuse to do with it follows from that. Our answers are published in full, and I would expect every supplier an organiser shortlists to publish theirs.