Organizers report exhibitor performance as an average, and exhibitors evaluate their own results against that average. Almost nobody looks at the distribution underneath it.

Report #08 measured how attendee attention distributes across a program and found it spreads more evenly than expected, with the top 20% of sessions drawing 38% of attendance. This report runs the same calculation on the exhibition floor, using exhibitor-level lead records from 236 live events. The floor behaves very differently.

Executive Summary

• The top 20% of exhibitors with lead retrieval capture a median 55% of an event's total leads. The top half capture 87%. That is substantially more concentrated than session attendance measured the same way.
• Concentration does not soften at larger events. The top-20% share runs 51% at events under 500 attendees and 61% at events above 2,000, while leads per active exhibitor roughly doubles across the same range.
• Access is not the constraint. Among exhibitors with lead retrieval enabled, a median 85% capture at least one lead. Outcomes diverge through intensity of use, not adoption.

Dataset Overview

• 236 live events with exhibitor-level lead records, hosted 2024 to 2026
• 9,982 exhibitors with lead retrieval enabled
• 357,681 captured leads
• Median event size 954 registered attendees (10th percentile 365, 90th percentile 2,226)
• Median exhibitor floor 34 exhibitors with lead retrieval
• Events where most leads were attendee self-submissions were excluded, as were events running longer than 14 days and events with fewer than 10 exhibitors with lead retrieval
• Data aggregated and anonymized across live events

The denominator that matters

Lead retrieval is not enabled for every approved exhibitor. Across the exhibitor records in this dataset, roughly half had lead retrieval access. Whether an exhibitor has it is determined by organizer packaging and exhibitor purchase, not by exhibitor behaviour.

Every figure in this report therefore uses exhibitors with lead retrieval as the denominator. The distinction is material. Measured against all approved exhibitors, median participation is 55%. Measured against exhibitors who actually have the tool, it is 85%. The first number describes a commercial packaging decision. The second describes exhibitor behaviour, which is what this report is about.

Metric definitions

Lead capture concentration is the share of an event's total leads held by its highest-capturing exhibitors, ranked by lead count. Calculated per event, then summarized across events.

Exhibitor participation rate is the share of exhibitors with lead retrieval who captured at least one lead.

Lead scans per registered attendee is total event leads divided by the attendee list count. It can exceed 1.0, since one attendee may be scanned by many exhibitors.

What the Data Shows

Capture Concentrates Early

Ranking every exhibitor at an event by lead count and reading down from the top, the median event distributes as follows.

Cumulative share of an event's leads

• Top 10% of exhibitors: 36%
• Top 20%: 55%
• Top 30%: 68%
• Top 50%: 87%
• Top 70%: 98%
• The interquartile range on the top-20% figure runs from 47% to 63%, so this is consistent across events rather than driven by a handful of extreme floors.

The contrast with the program is the useful part. Report #08 found the top 20% of sessions drawing 38% of session attendance and concluded that attendance spreads more evenly than program debates assume. The same calculation on the exhibition floor returns 55%. Attendee attention distributes relatively evenly across content. Lead capture does not distribute evenly across exhibitors.

The Pattern Does Not Soften at Larger Events

A reasonable expectation is that bigger events, with more attendees and more floor traffic, would let more exhibitors reach meaningful volume and flatten the curve. They do not.

Leads per active exhibitor roughly doubles from the smallest band to the largest. Concentration moves the other way, slightly upward. Spearman correlation between the top-20% share and attendee count is +0.22, and against exhibitor floor size +0.18. Year over year the figure is flat: 54% in 2024, 55% in 2025, 56% in 2026.

Bigger events give every exhibitor more volume. They do not give exhibitors a more equal share of it.

Participation Is High Where Access Exists

A median 85% of exhibitors with lead retrieval capture at least one lead, with an interquartile range of 74% to 94%. The remaining 15% combines genuine non-use with exhibitors who were approved but did not attend, which the platform does not distinguish.

For comparison, Report #08 found that roughly one in four event attendees never checks into a single session. The equivalent disengagement rate on the exhibitor side is closer to one in seven. Exhibitors who have the tool overwhelmingly use it. What varies is how hard.

Concentrated Floors Capture Less Overall

Sorting events by how concentrated their capture is reveals an inverse relationship with total volume.

Part of this is arithmetic. An event where many exhibitors capture nothing will mechanically show both high concentration and low total volume. Concentration correlates with the share of exhibitors capturing zero leads at Spearman +0.75.

To test whether anything survives, concentration was recalculated using only exhibitors who captured at least one lead, removing the zero-capture group from both sides. The relationship persists: the most evenly distributed quartile records 1.53 lead scans per registered attendee against 0.80 for the most concentrated quartile, a 1.9x spread (Spearman -0.30).

Key insight: Exhibitor outcomes diverge through intensity of use rather than access or adoption. Nearly every exhibitor with lead retrieval engages with it, and a fifth of them define the floor's total performance.

A Note on Method

Report #09 closed with a caution that has direct bearing on the finding above: relationships that look strong across a portfolio of events frequently dissolve once the event is held constant, because any variable correlated with event type will appear to predict outcomes it does not cause.

That test cannot be run here. Concentration is a property of an event, not of an exhibitor within one, so there is no within-event version of the comparison. The relationship between concentration and total capture is a between-event correlation, and by the standard this series has now applied three times, it should be treated as unresolved rather than established.

A well-attended event with strong floor traffic, a well-designed layout, and an engaged audience could plausibly produce both even distribution and high total capture, with neither causing the other. This report does not claim otherwise, and the finding should not be read as evidence that redistributing exhibitor performance would raise total capture.

Three further limits apply to the figures above:

• Lead capture is not exhibitor ROI. This dataset contains no booth cost, location, size, or sponsorship tier data, and no post-event conversion outcomes.
• Lead scans per registered attendee uses the attendee list as its denominator, not verified attendance. As Report #05 documented, a meaningful share of registrants never arrive, so the true rate per person present is higher. Those figures come from a different cohort and should not be applied directly to the numbers here.
• The dataset contains no attendee identifiers, so it cannot address how many exhibitors a given attendee engages with, or whether the highest-capturing exhibitors receive more traffic or convert the same traffic more effectively. A forthcoming report will examine booth visit behaviour directly.

Practical Implications for Event Teams

• Stop reporting exhibitor performance as an average. Among non-sponsor exhibitors, the mean is 31 leads and the median is 17. An average-based benchmark is one most of the floor is structurally positioned to miss.
• Give exhibitors the distribution, not the benchmark. An exhibitor who captured 20 leads reads that as failure against a 31-lead average, and as mid-pack with a defined gap against a median of 17 and a top quartile starting above 40. The second framing is both more accurate and more actionable.
• Treat sponsors as a separate population. Sponsoring exhibitors had lead retrieval enabled at a higher rate (70% against 44%), participated more (83% against 75%), and captured more (median 25 against 17). Pooling them inflates the benchmark for everyone else.
• Measure the middle of your floor, not the top. Exhibitors between the 30th and 70th percentile hold roughly 30% of total capture and are the largest addressable group. Diagnosing why that band underperforms is likely to yield more than optimizing around exhibitors already succeeding.
• Check your own concentration before adding exhibitors. A larger floor does not distribute capture more evenly. If your top quintile already holds well above 63% of leads, adding booths is unlikely to change that on its own.

Download the full Event Data Lab report

Get the complete lead-time distributions, the within-event comparison across all cutoff variants, the pooled decomposition by event pricing, and detailed methodology notes.

More from the Event Data Lab

• Report #07: Half of onsite check-ins arrive within a single hour. Arrival curves, peak concentration, and throughput
• Report #08: Attendees attend 5.5 sessions, and one in four attend none. Session attendance, program scope, and what doesn't move attendance
• Report #09: Late registrants aren't flakier. Their events are different. Registration timing tested within events, and why portfolio-level patterns dissolve

This report is part of the Event Data Lab, an ongoing research initiative analyzing real-world event performance across registration, onsite operations, engagement, and ROI.