How to know if your events are actually working.

Measurement isn’t the final stage of an event. It’s part of the design.

The room was full and buzzed with conversation. People engaged with the programme and left smiling. These are useful signals, telling you what an event looked like, not what it did. 

The better measure is what resulted from that engagement and whether it was the change the business needed. Knowing how to measure event success starts before the doors open. If you wait until afterwards to ask whether it worked, you’re already too late. 

Why many organisers still struggle to prove event ROI.

Bizzabo’s 2026 State of Events Benchmark reported that 40% of organisers still struggle to prove event ROI. Eran Ben-Shushan, Co-Founder and CEO at Bizzabo explains: “Attendance is no longer the primary signal leadership looks for. Executives want to understand what changed in the business as a result of the event,” he says. 

One client’s series of small events across Europe has reportedly generated pipeline worth at least 30 times its cost. “You’ve got the numbers, you’ve got the details, you’ve got the ROI,” says Mat Clapham, Senior Project Manager at asembl. “But the budget is still being cut back by a senior stakeholder who doesn’t attend the events and therefore feels they have little value.” 

The data wasn’t wrong. It answered a question the budget holder never agreed mattered. 

“The interpretation is really subjective,” says Sam Seymour, Account Director at Patch. “If we sit down before a campaign starts and agree the outcome, we can clearly define the KPIs that actually report on it.” 

Agree measurement early and you align on what the data means before anyone has a stake in the result. 

Start with the event objectives, not the data. 

Most event programmes have plenty of data. Few have agreed what decision it should inform, so reporting stops at what happened. 

“People take the data, put it in an Excel sheet and put it in front of the finance director: look, 800 scans,” says Mike Linford, Partnership Manager at asembl.group. “Finance will say, where’s the ROI, what did our investment actually get?” 

Useful measurement moves through four stages. Most reporting stops at the first. 

• Data: what happened? 
• Context: what does it mean? 
• Insight: why does it matter? 
• Action: what should we change, repeat or build on? 

The fix starts earlier than most briefs.

“I’d almost say it starts from the finish of the last event,” says Mat. Mike’s method is simple: “Keep asking why. You’ll eventually get to the point of what they actually need.”

For International Confex, Patch agreed upfront that scans and theatre attendance mattered more than reach. Messaging was built around what motivates people to go to events (aspiration, career growth and connection), then segmented by audience type. “Specificity is key,” Sam explains.

“We could see which messaging was landing with which groups. Every campaign decision was made against those numbers. The best place to begin is actually at the end.”

The right measure depends on what kind of event it is.

“A brand activation could be product sampling, brand awareness, brand equity, perceived brand value,” says Mike. “That can be very hard to measure compared to a field marketing rep at a tech brand who needs multiple touchpoints and data to move people through the pipeline.” 

What you measure shapes what you design.

Attendance is easy to count. But a full room does not automatically mean an engaged audience. 

Mat recalls a client whose priority was to make the main plenary look impressive to senior leadership. That influenced the event design: a large room, classroom-style seating and laptops on every table. 

But was that really the best environment for the audience? A smaller, more focused space could have reduced costs and created better conditions for engagement. 

The problem was not the attendance figure. It was treating how the room looked as the measure of success, rather than what people took away from it. 

Measure the wrong thing and you risk designing an event that looks successful, rather than one that delivers real value. 

Why attendee behaviour tells a different story.

At one of Noba’s London venue partners, the client believed its audience was young and mixed. Measurement showed it was older and significantly more male. The venue changed the product mix behind the bars and sales rose 30%. 

“The interesting bit wasn’t discovering that the audience was older and more male than everyone thought,” says Nick Taylor, Founder and Managing Director at Noba. “It was what they did with that information. That’s when data becomes useful: when it changes a decision and you can see the commercial impact.” 

The venue wasn’t short of data. It was working from an assumption, as most event decisions are. Measurement’s first job is to test it. 

Mike looks for what the data shows that nobody expected.

“You might have booked a killer keynote, but everybody’s over here learning about this new tax software,” he says.” The scans show where people went. The work is finding out why. 

The number can be right, and the conclusion can still be wrong. A record year after a period of stagnant growth looks like new momentum. “It might be growth, or it might just be years of work culminating together to hit target,” says Sam. 

His answer is to break the figure down before debating it.

“One overall figure can hold very different stories, and that’s usually where the real insight lies.” 

Measure the journey, not the moment.

Sam tracks every event before, during and after.  

• Before: are you building the right community, not just more registrations? 
• During: are the people you worked hardest to reach showing up?  What did they do/how did they behave?  And is that what you needed or anticipated? 
• After: are they coming back?  Do you know why?  Or why not? 

“If you’re not measuring each of those from the start, you can’t prove the event mattered beyond the live duration.” 

Mike sees clients judge each event in isolation. The same person gets scanned at the same show two years running and logged as new both times. Siloed data loses information. Worse, it treats a warm prospect like a cold one. 

The most effective measurement changes something.

Useful evidence changes what happens now, next time or later. “Now” is harder than it sounds. 

“When you’re building an event for 600 people with defined rooms and speakers, it’s very difficult to adapt as you go,” says Mat.

So, the most useful live data arrives before the event, through registration data such as session sign-ups and early views of content. 

“Next time” is where most change happens. At one partner kick-off, barely anyone came to the final-morning sessions after the gala dinner. The data didn’t say the content was weak. It said the agenda was in the wrong order. The next programme leaves the last day free.

Sometimes the data changes the whole format. One tech client started with in-region meetings for around 30 people. Strong attendance turned them into a European tour of hundreds, then two-day regional events across EMEA, APAC and the Americas. At the London event, more people turned up than expected and the plenary ran out of chairs.

If nothing changes because of the data, it was just reporting. 

Measure what you need, not everything you can.

Sam applies one test to every metric. “If this went up or down, how would it guide us? If there isn’t a clear answer, it shouldn’t be something we track.” 

It’s an ethical test too: 

• Collect less, ask less. Data you’ll never act on is information you didn’t need to ask attendees for. When you’re laser focussed on the data you really need to collect, it’ll get the attention it deserves rather than being an afterthought or missed opportunity.  

• Consent shapes quality. GDPR gives attendees control over their data, and many opt out of tracking at registration. Mat recalls a virtual event where the quantity of opt outs posed a significant challenge to measuring success here. 

• Personalisation has a limit. Mike points to US stadiums where your face is your ticket and your drinks are pre-ordered. The open question is where convenience becomes invasive, and whether people who opt out end up queuing at the turnstile with a QR code. 

More data isn’t the answer. Connected evidence is. 

“Marketing data tells you who you reached and what got them to register,” says Sam. “Event data tells you about the journey, who actually turned up and what they did when they were there. What happens afterwards tells you whether any of it mattered.”

Each view is accurate. None is complete on its own. Noba sees behaviour in the venue. Patch sees marketing either side of the event. asembl. sees the brief and the delivery. The full picture only appears when those perspectives are connected around the event’s central objective/s.  These therefore need to be clear well ahead of time and baked into everything. 

Build your event measurement strategy into the brief.

Most organisations already have more data than they can or do use. Very few have built a way to act on it. Three shifts make the difference: 

• Put the data you have to work. Most teams collect plenty. The value comes from collecting the appropriate data and, importantly, acting on it. 
• Design measurement in from the start. It belongs in the brief, alongside your event objectives, not in the recap.  Otherwise, it’s a huge missed opportunity and ROI will be impossible to understand. 
• Know which decision your data should inform. You don’t need more data. You need a clear question for it to answer. 

That’s where we start with every client. We challenge the brief, agree what success looks like and bring together the right specialists to measure it, all through one easy partnership. 

If you’re planning your next event, send us your brief, send us your brief.