What Not Knowing Your Resource Consumption at the Event Level Costs Your Building, and Our Industry as a Whole

Johanna Behm

You have likely seen the number. "The events industry accounts for roughly 10 percent of global carbon emissions." It is frequently cited, and it causes a lot of debate.

Opinions aside, the response to that number is mainly a symptom of a bigger problem in our industry. Does anyone really know anything reliably confirmable about either the resource consumption or the emissions of our live events, or the venues hosting them?

Here is what most people repeating that 10 percent number do not know: it is not a direct measurement of anything. It is an estimate, and a fairly recent one.

Where the 10 percent number actually comes from

In 2021, a team of researchers led by Fengqi You at Cornell published a life cycle assessment in Nature Communications comparing the environmental footprint of in-person, virtual, and hybrid conferences. In the introduction, they noted that the global event industry's annual carbon footprint appears to be roughly the same order of magnitude as the entire United States' yearly emissions, and the U.S. is responsible for more than 10 percent of global CO2 output. That is an analogy, not a direct measurement of the events sector.

Somewhere in the retelling, that analogy became a flat statistic. For comparison, the World Travel and Tourism Council, a well-resourced industry body that runs its own dedicated annual emissions research, has revised its own travel and tourism sector estimate twice in the past three years, from 8.1 percent in its original 2019 baseline down to 7.3 percent for 2024. That is a different, broader industry than live events specifically, but it makes the same point from the other direction. Even a sector with the funding to measure itself precisely still does not have one fixed number. A 2025 academic review of sustainability data published by the Events Industry Council and the Joint Meetings Industry Council found something more fundamental for our own industry: different organizations use different measurement methodologies entirely, which makes an apples to apples comparison, and therefore a single defensible percentage, genuinely difficult to produce right now.

None of this means the number is wrong or that the industry's footprint is small. It likely is not. What it means is that the 10 percent figure is the industry's first real attempt to size the problem, built from fragmented data and reasonable extrapolation because nothing more precise existed. That is worth taking seriously, not dismissing. It is also worth being honest about. The events industry does not actually know its own number. It has an educated guess.

The data isn't missing. It's just not talking to itself

Here is the part that should be encouraging rather than discouraging. The raw data to answer this question already exists. Utility meters record electricity, gas, and water. Waste haulers log pickups. Event management platforms track who booked what space, for how long, with how many attendees. None of this is missing. It is just sitting in different systems that do not talk to each other, at different venues, in different formats, updated on different schedules.

This is not a uniquely hard data problem. It is a familiar one. Marketing teams solved a similar version of this fifteen years ago, consolidating customer data scattered across ad platforms, email tools, and point of sale systems into a single customer data platform, so a marketer could see one customer's full journey instead of five disconnected fragments. Health systems have spent the past decade doing the same thing with patient records, pulling data out of siloed hospital systems so a doctor can see a full history instead of whatever one system happened to capture. Biotech labs run entire operations on systems built specifically to consolidate instrument data, sample tracking, and compliance records that would otherwise live in a dozen disconnected spreadsheets and lab notebooks.

Live events are not solving a harder problem than marketing attribution, patient interoperability, or laboratory data management. Those industries built the tools because the fragmented status quo was costing them money, patient outcomes, or research time. The events industry has simply not built its version of that tool yet, at scale, and that is the actual gap between the estimate we have today and the precision we should expect tomorrow.

What not knowing your number costs you specifically

For a single venue, not knowing consumption at the event level is not an abstract data problem. It shows up as a real cost.

It shows up when a waste hauler bills by an assumed fill level because nobody measured the bin, and there is no event-specific data to dispute the invoice against. It shows up when a high-consumption client should be billed for excess energy or waste and cannot be, because the building only knows its total monthly draw, not which event on which weekend drove the spike. It shows up when a sustainability coordinator gets asked for event-specific numbers by 95 percent of clients, per our own interviews with 20 major venues, and has no way to produce them without days of manual reconstruction.

At the industry level, the same gap shows up as the 10 percent estimate problem. An industry that cannot produce consistent, event-level, auditable numbers cannot defend its own footprint claims, cannot benchmark one venue against another with any rigor, and cannot show regulators, investors, or clients asking harder questions with each passing year that its sustainability commitments are backed by anything more solid than an extrapolation from 2021.

Why annual, after-the-fact numbers don't change what happens next

Even where venues do measure, most of what gets produced is a single, general report, once a year, covering the whole building. The research on what actually changes resource use points to a different format entirely.

Economist Hunt Allcott studied Opower's home energy reports, which give households frequent, specific feedback comparing their usage to similar homes nearby, across roughly 600,000 households. The result was a consistent one to three percent reduction in electricity use, and a follow-up study with Todd Rogers found the effect held up as long as the reports kept arriving and faded when they stopped. A 2015 meta-analysis in Psychological Bulletin, reviewing 42 feedback studies going back to 1976, found the same pattern: how much feedback changes behavior depends heavily on how frequent and specific it is.

An annual, building-wide report is close to the weakest version of feedback the research describes. It arrives too infrequently and too generally to guide a specific decision. Nancy Reimer, sustainability coordinator at Oregon Convention Center, described what changes when the format shifts, after OCC moved to automated, per-event reporting: "When you're not spending as much time just compiling all the data, you can really be on the ground, talking with the event, making observations, and identifying opportunities to improve year over year."

That is not an argument against measuring. It is an argument for measuring the right way, continuously and specifically, instead of the way the industry currently defaults to.

From after the fact to ahead of it

The same 2021 Nature Communications research that produced the 10 percent estimate also demonstrated something more useful than the headline number: what becomes possible once you have granular enough data to model decisions before they happen, not just report on them afterward. The researchers used participant data to calculate, in advance, which conference hub locations and formats would minimize environmental impact for a given event, before it was held, not after.

That is the direction event-level data is headed. Once a venue has clean, continuous, event-specific consumption data flowing in automatically, the same data that produces a report can also flag a chiller schedule that is running inefficiently before the utility bill arrives, or predict which upcoming events, based on square footage, attendee count, and historical consumption and waste patterns, are likely to run high on waste or energy so a team can plan for it instead of explaining it after the fact.

This is also where the Events Industry Council's own research points. A widely cited 2024 EIC finding holds that more than 70 percent of attendees say a venue's environmental practices influence whether they choose to attend. It is worth being straightforward about that number's own paper trail. It circulates constantly, in conference talks, vendor decks, and pieces like this one, but the original report behind it is genuinely hard to track down and verify firsthand. That is not a knock on EIC specifically. Plenty of widely repeated industry statistics travel this way, cited by outlet after outlet until the original source thins out. But it is worth naming here, because it is the same problem this entire piece is about. If a claim about sustainability driving demand, or driving cost savings, cannot be traced back to a number someone can actually check, it is reasonable for a CFO to stay skeptical no matter how often the figure gets repeated. That skepticism is not a failure to care. It is a rational response to secondhand data, and it is exactly what verified, traceable, event-level numbers are built to fix.

Benchmarking changes the conversation from obligation to competition

There is one more thing granular, continuous data makes possible that an annual PDF never will: a fair comparison.

Right now, a venue has no reliable way to know whether its energy use per event is high, low, or average for a building its size hosting a variety of events. Once event-specific data exists across a portfolio, or across a set of venues willing to compare, and different event types, that changes. A facilities director can see exactly where their building ranks. A sustainability coordinator can walk into a budget conversation with a specific number showing where their venue is losing ground to comparable properties, or a specific dollar figure showing what event types cost them most money.

That reframes the entire conversation. Nobody wants to be the venue quietly running behind. Nobody wants to explain (or not be able to explain) to a CFO why utility costs per square foot are 20 percent above a comparable building's, especially when budgets are under real pressure across the industry right now. You do not need a position on climate policy to want that answer. You need a number.

What this actually requires

None of this requires solving climate change from the venue level up. It requires the same thing marketing, healthcare, and biotech data teams already built for their own fragmented systems: a single layer that pulls scattered data together, attributes it accurately, and makes it usable in near real time instead of once a year.

  • Event-specific consumption data instead of building-wide monthly averages

  • Numbers delivered while they are still actionable, not months after the fact

  • A way to benchmark one event, one venue, or one portfolio against another

  • The same underlying data used to predict and plan, not just report

The events industry does not have a precise number for its own footprint yet, and that is not a failure of will. It is a data infrastructure gap, the same one other industries have already closed. Closing it is not primarily a climate story. It is a resource efficiency story, and a competitive one. Nobody wants to waste money they cannot see, and right now, most venues cannot see it.

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30-DAY TRIAL

Try the intelligent sustainability
platform built for live event venues.

Connect your data, simplify reporting, and get an early look at Carbon Coach — your AI partner for automating processes and turning sustainability insights into clear next steps.

10 hrs → 30 min

In event-specific reporting

90%

Total time savings

30-DAY TRIAL

Try the intelligent sustainability
platform built for live event venues.

Connect your data, simplify reporting, and get an early look at Carbon Coach — your AI partner for automating processes and turning sustainability insights into clear next steps.

10 hrs → 30 min

In event-specific reporting

90%

Total time savings