The go-to-market teams behind orchestrating company events often breathe a sigh of relief as soon as the first day of an event kicks off. Focus immediately shifts to engaging with the live crowd at the event. This moment is precisely when the most impactful behind-the-scenes work should be in motion.
Walk into any post-event debrief. Teams report attendance, session ratings, and customer satisfaction or NPS scores.
Marketing is working as fast as possible to make sense of data from three different platforms. RevOps is trying to get event data properly aggregated into and labeled in the CRM. Sales is consumed by the manual work of reviewing leads and trying to remember and record who is interested in what and why for follow-ups that will land.
The chaos is familiar. Much of the legacy event technology that is used today is a big part of the problem.
You have the right team to execute. You do not have a system that automatically gets the most impactful data to the right teams at the moment it is needed. Prospects and customers are highly engaged and ready to take action in the moment. Prospects and customers are ready to take action not a week later when they have moved on.
When Data Arrives Late, Deals are Already Lost
Traditional event platforms were built for the world AI has just left behind. These platforms were designed to handle registration forms, badge printing, and track attendance. These systems excel at the logistic basics of event management.
These platforms miss the moments that matter most. A customer or prospect demonstrates buying intent during a critical event moment. A team can capitalize on the opportunity to convert buying intent into action. Not acting on buying intent as it happens is a major fail.
These signals are high-fidelity. In-person engagement is a figurative and literal goldmine that can be capitalized in real time. Go-to-market teams crave this kind of intelligence.
Legacy event platforms do not handle these signals well. Legacy event platforms cost an opportunity to have a massive impact on pipeline and revenue outcomes.
Teams struggle to connect events to revenue. Forrester’s 2024 research shows that demonstrating event ROI ranks as the top priority for 95% of events teams. Industry data reveals a persistent measurement gap. 82% of marketers cannot quantify the data received from attendee interactions at corporate events.
This is not an attribution or people problem. Marketers and event teams are highly skilled and thoughtful. Existing technology makes it hard to use data effectively. Data use inefficiencies result in intelligence gaps and unreasonable delays. Instead of action from every great moment at an event, the opportunity to strike disappears.
Events are Where Buyers Emerge from the Shadows
B2B buying has changed dramatically. Buyers now complete 70% of their purchase journey before ever talking to sales.
Events have made a huge comeback as a critical marketing channel. Events are one of the last places where buyers reveal themselves through behavior you can observe and measure.
Engagement patterns at events let teams observe genuine interest in real time. Questions asked at events let teams observe genuine interest in real time. Pain points described at events let teams observe genuine interest in real time. The people buyers surround themselves with and interact with at events let teams observe genuine interest in real time.
Teams understand exactly where customers are in their buying journey. Buyers walk in with specific intent. When a buyer asks detailed questions about integration architecture or compliance requirements, the buyer is not making small talk. The buyer is evaluating if a solution is a good fit.
Sales teams need buyer propensity data immediately.
Sales teams can act in minutes not days. Sales teams can act in minutes by knowing what a prospect asked about. Sales teams can act in minutes by knowing which features are most desirable. Sales teams can act in minutes by knowing who else on a buying committee is engaging.
This is AI-powered event intelligence in action.
Rethinking What Event Technology Should Deliver
Event Intelligence recasts the event tech value proposition. Company revenue growth, product engagement, and customer success are the important metrics for go-to-market teams.
This rethinking can be packaged as a framework teams can practically use. Teams use the framework as they evaluate what kinds of tools and solutions help events accomplish goals and objectives.
The First Pillar: Capture Buying Signals
Traditional event platforms capture attendance. AI-driven Event Intelligence solutions capture intent.
When someone attends an event, Event Intelligence platforms track:
- Pre-registration engagement and qualification including criteria and preferences
- Session attendance patterns that reveal problems and potential solutions or deployment and implementation requirements.
- Content downloads that can include pricing guides or an introductory overview.
- Session and booth engagement: demos, polls, and surveys.
- Account-based behavior and repeat interactions analysis; did buying groups emerge from returning to the booth?
- Executive involvement: which decision-makers are present and what preferences have been expressed?
Each behavior reveals something about buying intent. A prospect downloading an implementation guide while asking about deployment timelines is different from someone scanning a badge for a prize draw. One shows purchase intent and may be a great buying signal. The other is collecting swag and may have a great attendee experience without any interest in purchasing.
AI-powered Event Intelligence platforms classify these signals automatically. Platforms understand context. Platforms recognize patterns. Platforms distinguish where the buyer is in the journey, from casual interest to active evaluation.
Capturing buying signals has an outsized impact on the role of events for go-to-market teams. National Instruments shared: “Certain allows us to bring global events into our overall go-to-market strategy, thanks to the strength of their integrations and ability to support all types of events.” The result was 86% faster lead follow-up time after switching from event management to Event Intelligence.
The Second Pillar: Deliver Signals in Real-Time
The way this plays out delivers outcomes. For example, a prospect downloads an enterprise security whitepaper at 10:15am. The prospect asks detailed questions about scalability and architecture at a booth at 10:22am. The prospect attends two relevant product sessions, one at 11am and one at 11:45am.
With Event Intelligence, a rep gets a Slack notification at 12:15pm. The Slack notification includes full context. The prospect is a high-intent, enterprise prospect. The prospect is interested in security with a critical requirement around scalability.
The rep knows what sessions the prospect attended. The rep knows the prospect’s pain points. The rep knows the prospect is in active evaluation. The rep knows the prospect wants to engage with a Solutions Architect.
The technology does heavy lifting of setting up a meeting automatically during the event.
Capturing buying signals is meaningless if signals arrive too late. Traditional event platforms rely on batch exports. Batch exports could be contact lists in CSV files. CSV files show up days later. CSV files arrive after an event is already over.
This process is no longer acceptable. Prospects are 10x less likely to convert if follow-up takes more than five days. A MarketingProfs study found that 74% of B2B marketers take four days or more to follow up with event leads. The MarketingProfs study found that only 2% follow up the same day.
Event Intelligence platforms deliver signals in real-time. Event Intelligence platforms trigger action while the event is still happening. Timing is everything. Sales teams equipped with the right context and intelligence can move deals forward.
Rockwell Automation manages over 200 global conferences annually. Rockwell Automation described the impact of Event Intelligence with Certain: “Certain has helped raise the bar on what we track and how we act on it. We can now measure event impact with a level of precision we never had before.”
The Third and Final Pillar: Orchestrate at Scale
Large enterprises run dozens, hundreds, or even thousands of events worldwide. The requirements to effectively distribute data across this kind of scale are complex.
Event Intelligence platforms are scale agnostic. Event Intelligence platforms freely allow data to flow to and from the platform with ease. This data flow enables any type of event program. This data flow enables the data integration and workflow needed.
Event builds need to be repeatable to move with the speed of business. Many legacy event platforms treat each event as its own independent project. Event Intelligence platforms do not treat events as standalone.
Event Intelligence platforms understand how each event fits within the overall event portfolio. Platforms enable replication. Platforms provide event intelligence at the portfolio level.
Companies that manage hundreds of events annually, including roadshows, conferences, webinars, and customer summits, must deploy technology that answers questions about results like:
- Which event type in an events portfolio generates the highest-quality pipeline?
- Which audiences convert best, on which pain points, and with which products?
- Where should more budget be invested next year?
- What is event-influenced and event-sourced revenue by event type and across the portfolio?
Legacy platforms tell teams that an event had 1,042 attendees and who attended session A or B. Legacy platforms cannot tell teams if attendees were solving a particular pain point. Legacy platforms cannot tell teams if attendees converted because of a specific value proposition.
AI-driven Event Intelligence platforms aggregate signals across an events portfolio. Platforms identify patterns. Platforms enable predictive analytics. Platforms show which events and which content drive revenue.
Intelligence as the Source of Differentiation
For decades, CMOs have struggled to prove event ROI. Events deliver relationships, engagement, and deals. Sales teams also know that events deliver relationships, engagement, and deals. It is still hard to tie events to revenue.
Event Intelligence changes the game entirely. Now teams can walk into board meetings with data that shows: “Our Q3 events generated $12 million in qualified pipeline. Nearly a third of it has advanced to the negotiation stage, and 10% of it converted in the quarter to closed won deals. Events are also our best channel for conversion. We’re tracking this on a rolling basis and as of this month, event-sourced revenue has grown 47% year-over-year.”
These numbers are what the CFO cares about. These numbers justify an event budget. These numbers accomplish something even more valuable.
Event Intelligence unites an entire go-to-market organization around shared outcomes. When everyone operates from the same intelligence, the go-to-market engine accelerates.
- Marketing stops chasing attendance numbers.
Marketing designs events that generate meaningful buying signals worth following up on.
- Sales gets intelligence-rich opportunities.
Sales avoids generic lead lists.
All engagement is recorded with context.
Buying signals trigger personalized, relevant actions.
- Revenue Operations works with unified, real-time intelligence flowing seamlessly into CRM, marketing automation, and sales workflows.
Revenue Operations avoids stitching together disconnected data from three different systems.
- Customer Success can see how existing customers engage with event content.
This engagement reveals expansion and upsell opportunities customer success would otherwise miss.
Event Technology Evaluation
As teams evaluate event platforms, teams ask questions centered around the kinds of buying signals teams can capture. Teams ask questions centered around the speed of data delivery. Teams ask questions centered around where data is integrated throughout a technology stack. Teams ask questions centered around how events will scale.
Questions teams are encouraged to ask include:
- How do you differentiate between attendee experience data and buying signals?
- Which buying signals do you capture?
- What actions can you trigger from event buying signals?
- What is your data architecture?
- How does event intelligence get shared between systems?
- Can you deliver buying signals to a CRM, Slack, and anywhere the team works in real-time?
- Can you aggregate intelligence across an entire event portfolio?
- How do you differentiate between analytics and deep intelligence?
Other areas to explore include:
Signal Capture.Which behavioral signals, including patterns about session engagement, content downloads, and booth engagement are tracked?
Can the platform identify trends for top accounts?
What about repeat visitors and multi-person buying committees?
Does it use AI to classify signal types?
Can it distinguish between casual interest and active evaluation?
Real-Time Delivery.How long does it take from the time a signal is captured to get in front of sellers in a CRM?
Does it integrate natively with Salesforce and Marketo?
Does any workflow require manual exports?
Can data capture trigger real-time next steps?
Describe the flow of data in the overall system.
Portfolio Intelligence.Can the platform aggregate data across multiple events and event types?
Does the platform provide predictive analytics for ROI forecasting?
Will the platform identify patterns across an entire events portfolio?
Can the platform connect behavior to revenue?
AI-Powered Personalization.Will it recommend sessions based on attendee interests?
Can it recommend which exhibitors to meet and who to network with?
Does it use AI to automatically identify prospects with high intent?
Early Adopters are Gaining an Edge
While many organizations continue to measure events through satisfaction polls, the most advanced teams gain a competitive edge. Advanced teams use every engagement opportunity to understand intent to buy.
Deploying an AI-driven approach to understanding intent is one of the lowest-hanging fruit opportunities to enact real AI transformation in marketing. Deploying an AI-driven approach immediately drives efficiency and better outcomes.
The AI in event management market is experiencing explosive growth. Projections show the market expanding from $1.8 billion in 2023 to over $14 billion by 2033.
Organizations leveraging AI for event intelligence report significant improvements in lead qualification, follow-up timing, and attendee engagement. Personalized campaigns deliver up to 6x higher engagement.
Benefits also include identifying prospects with intent to purchase more quickly. Benefits also include engaging buying committees more effectively. Benefits also include closing deals faster while competitors run an outdated playbook.
Every organization will ultimately onboard Event Intelligence as part of AI transformation. The question is timing. Teams can be part of leading the transition. Teams can be in the back playing catch-up.
Making the Shift to Event Intelligence
The shift from event management to Event Intelligence is happening now.
Organizations making this transition early are seeing results. Results include faster sales cycles. Results include higher conversion rates. Results include the ability to prove event ROI with actual revenue numbers.
The key to working with any event technology is to ensure Event Intelligence captures every buying signal. The key is to ensure Event Intelligence delivers every buying signal directly to revenue teams in real-time. The key is to ensure event engagement connects directly to pipeline influence, acceleration, and closed-won deals.
To learn more about how to reboot event technology as an effective AI transformation initiative, get a latest report. The latest report is The Ultimate Guide to Event Buying Signals. The guide shares how CMOs and marketing teams identify and connect the right event buying signals to influenced, accelerated, and closed-won revenue.
Peter Micciche is CEO of Certain. Certain is the leading AI-powered Event Intelligence platform for enterprise B2B companies. Connect with Peter on LinkedIn or visit certain.com to about transforming events into revenue engines.
Keep reading
- From Signals to Revenue: Making Event Intelligence Work for Your Team (https://certain.com/blog/from-signals-to-revenue-making-event-intelligence-work)
- Events are the Tried-and-True GTM Channel for B2B Companies in 2026 (https://certain.com/blog/events-key-gtm-channel-for-b2b)
- Stop Asking Boring Event Questions (https://certain.com/blog/stop-asking-boring-questions)