Sponsors not renewing and you have no idea why until it's too late. No system to identify churn risk before the renewal decision is made. Sponsor prospect lists built manually from directories. No engagement data from the show floor to support the renewal conversation. MercuryMinds has built exhibitor intelligence systems for clients in the events industry — tracking what exhibitors actually do at a show: booth traffic, badge scan velocity and content signal activity. The same capability, built for your events.
The Proof
MercuryMinds built an exhibitor intelligence platform for a client in the events industry — a system that tracks what exhibitors actually do at a show rather than what they report. Booth traffic patterns from badge scan data. Lead capture velocity compared to exhibitor neighbours. Content signal activity before and after the show. Engagement score per exhibitor, updated in real time during the event.
Most exhibitor ROI conversations happen without this data. A show organiser asks an exhibitor "how was the show for you?" and gets an anecdote. The platform we built gives show organisers the data to have a different conversation: "You had 847 booth visits across the 3 days, 23% above the average for your hall section. Your lead capture rate was 4.2 leads per hundred visitors. Here's how that compares to your previous two editions." That conversation changes the renewal dynamic entirely.
The platform is a client project — it runs in production for them and appears in our portfolio. The same exhibitor intelligence capability — engagement tracking, ROI calculation, renewal risk modelling — is available to build for your event portfolio.
The Problem It Solved
Sponsor churn discovered at renewal — not before
The renewal conversation that starts with "we've decided not to renew" is a conversation you've already lost. Churn risk signals appear weeks before the renewal decision — engagement score decline, portal inactivity, reduced social promotion — if the data is being tracked.
New sponsor lists built manually from directories
Manual sponsor prospect list building from industry directories misses the highest-quality signal: companies that are exhibiting at competitor shows in your sector. Automated competitor show monitoring surfaces the active exhibitor companies your show should be targeting.
Renewal conversations without supporting data
When an exhibitor questions the ROI of their participation, the only evidence available is what the organiser can remember and what the exhibitor reported. Objective engagement data — booth visits, lead capture rates, session attendance correlated to exhibitor category — changes the dynamic.
Upsell opportunities missed without engagement data
An exhibitor who had 30% above average booth traffic at their current stand size is a natural upsell candidate to a larger footprint. Without booth traffic data, the upsell conversation is a guess. With it, it's a data-backed recommendation.
What We Build
Every system below is a live production deployment — built for show organisers and event agencies who need more than anecdote to manage their sponsor and exhibitor relationships at scale.
Composite engagement score per exhibitor — combining booth traffic (badge scan visits), lead capture velocity, session attendance by exhibitor staff, sponsor portal activity, social promotion pre and during show, and onboarding deliverable completion rate. Score updated in real time during the show. Post-show engagement score used as a leading indicator of renewal likelihood and as context for the renewal conversation.
→ Per-exhibitor real-time engagement score, show-level benchmarking
Machine learning model trained on historical sponsorship data — predicting which current sponsors and exhibitors are at risk of not renewing based on engagement signals: engagement score trend (declining vs. stable vs. improving), year-on-year comparison, portal inactivity, late deliverable submission, social promotion frequency and any complaint or escalation signals in the CRM. Risk flags generated 8–12 weeks before renewal conversations begin.
→ Renewal risk score per exhibitor, flagged 8–12 weeks before renewal
Automated post-show ROI report per exhibitor — booth visit count, unique visitor count, peak traffic periods, lead capture rate vs. booth average, session attendance where exhibitor staff presented, social reach from exhibitor promotion, comparison to previous edition and sector average. Generated automatically from show data and delivered to exhibitor accounts and the organiser's account management team within 48 hours of show close.
→ Per-exhibitor ROI report, automated delivery, edition and sector comparison
Automated monitoring of competitor shows in your sector — tracking which companies exhibit at competitor events, identifying companies that exhibit at competing shows but not at yours (high-quality prospect targets), and monitoring when competitor exhibitors announce participation. Updated continuously as competitor show exhibitor lists are published.
→ Competitor exhibitor list, cross-reference against your roster, gap prospects
Automated prospect list generation for new exhibitor and sponsor acquisition — built from your ICP definition (sector, company size, exhibiting history, geographic market) using industry databases, competitor show monitoring and LinkedIn company data. Prospects scored by likelihood to convert based on competitor show presence, sector fit, company size match and financial capacity signals. Delivered as a prioritised list with contact-level enrichment.
→ Prioritised prospect list, ICP-scored, contact-level enrichment included
Granular booth-level footfall data derived from badge scan events — visit count per booth, unique visitor count, return visitor rate, peak traffic time windows, traffic heatmap across the exhibition floor, and attendee profile breakdown per booth (what percentage of each exhibitor's visitors were from their target buyer segments). The data that makes the "was the show worth it?" question answerable with evidence.
→ Per-booth visit count, traffic heatmap, buyer-segment breakdown, return visits
Full scope: 23 sponsor & exhibitor intelligence use cases
Includes upsell opportunity identification, sponsor benefit activation tracking, multi-year retention modelling, content signal intelligence and organiser benchmarking dashboards.
How It Works
Four stages — data connection to intelligence outputs that change how renewal and prospecting conversations are run.
Connect the data sources that feed exhibitor intelligence — badge scanner outputs for booth traffic, registration platform for attendee profiles, sponsor portal for benefit activation tracking, CRM for relationship history, social feeds for promotion monitoring and industry databases for prospect identification. Each source connected and validated before the intelligence layer is built on top of it.
Engagement scoring model configured for your show's specific signals — which data points matter most in your context, how they're weighted, what the benchmark values are for your show size and sector, and how year-on-year comparison is calculated. Renewal risk model trained on your historical renewal data — which signals preceded non-renewals in previous years. Models reviewed and validated before they generate live outputs.
During the show: engagement scores update in real time as badge scans, session attendance and sponsor portal activity are captured. Account managers can see which exhibitors are having a good show and which need intervention — before the show closes. Booth traffic data visible per exhibitor in the operations dashboard. Alerts when an exhibitor's engagement score falls significantly below show average.
Within 48 hours of show close: automated ROI reports generated per exhibitor and delivered to account management team. Renewal risk scores updated with final engagement data. High-risk exhibitors flagged for early outreach. Prospect list updated with competitor show monitoring data. Account management team briefed with per-exhibitor intelligence before renewal conversations begin.
An exhibitor intelligence platform is a system that tracks what exhibitors actually do at a trade show — replacing self-reported outcomes with objective, measured data. It aggregates data from badge scan systems, session room scanners, lead capture devices and sponsor portal activity to generate a real-time engagement score per exhibitor during the show. It provides show organisers with booth traffic data (how many badge-scanned visits each booth received, when, and from what attendee profile), lead capture velocity (how many leads each exhibitor captured per hundred booth visits), session attendance data for exhibitors who present, and social signal monitoring before and after the show. MercuryMinds built an exhibitor intelligence platform for a client in the events industry — the same capability can be built for other event portfolios using the same data engineering approach.
Sponsor renewal risk prediction uses a machine learning model trained on your historical sponsorship and renewal data — identifying which signals in the weeks and months before renewal correlate with non-renewal decisions. The signals that most commonly predict non-renewal are: declining engagement score year-on-year (the exhibitor's show performance metrics are trending down), sponsor portal inactivity (low login frequency and unclaimed benefit entitlements signal low engagement with the organiser relationship), late deliverable submission (sponsors who submit promotional materials late tend to be less invested in the partnership), reduced social promotion (sponsors who don't promote their participation are getting less ROI from the marketing value of the show association), and CRM signals (complaint records, escalated queries or unusually long response times in the account management relationship). These signals are monitored continuously — the renewal risk model surfaces high-risk accounts 8–12 weeks before renewal conversations begin, giving account managers time to intervene before the decision is made.
Yes. A sponsor prospecting tool for event organisers combines three data sources: competitor show monitoring (identifying which companies exhibit at competitor events in your sector but not at yours — the highest-quality prospect signal), industry database prospecting (using your ICP definition to build a filtered list of companies that match the profile of your best exhibitors by sector, size, geography and marketing budget indicators), and existing network data (past attendees who represent buyer personas for current exhibitors, past exhibitors who lapsed but may be re-prospectable, and partner company networks). The output is a prioritised prospect list with each prospect scored by likelihood to convert, enriched with contact information and the specific rationale for the targeting. MercuryMinds built sponsor prospecting automation for a client in the events industry — the prospecting tool and the exhibitor intelligence system share the same competitor show monitoring data layer.
Exhibitor intelligence is the systematic collection and analysis of data about how exhibitors perform at a show — replacing anecdote and self-reporting with objective, measured evidence of exhibitor engagement and ROI. It covers: what happened at the booth (traffic volume, visitor profile, lead capture rate, peak traffic periods), how the exhibitor engaged with the show as a whole (session attendance by staff, social promotion activity, portal benefit utilisation), how their performance compares to benchmarks (average booth traffic for their floor section, sector average lead capture rate, their own historical performance at previous editions), and what their engagement signals suggest about renewal likelihood. Exhibitor intelligence data is valuable in three contexts: the post-show ROI report that justifies renewal to the exhibitor, the pre-renewal risk model that flags at-risk accounts for early intervention, and the upsell conversation that uses above-average performance data to justify a larger footprint at the next edition.
Related Events Services
Ready to Know Which Sponsors Will Churn?
Tell us how many sponsors and exhibitors you manage, what your current renewal rate is, what data you currently have on exhibitor engagement (badge scan, portal, survey), how far ahead of renewal you're typically having conversations, and whether you need prospecting automation alongside retention intelligence. We'll scope the right starting point.