The Three-Pillar Framework for Turning Event Data Into Revenue Intelligence

(First in a 4-part series. For Part 2 visit: Deep Dive into Event Intelligence; Part 3: Real-Time Signals and Part 4: Orchestrate at Scale )

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. These teams also feel the energy events create. This moment is precisely when the most impactful behind-the-scenes work should be in motion.

Post-event debriefs often repeat the same metrics from years past. 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. Legacy event technology used today is a big part of the problem. The right team is able to execute. The system still needs to automatically get the most impactful data to the right teams at the moment it’s needed. Prospects and customers are highly engaged and ready to take action during the moment. Prospects and customers are ready to take action instead of a week later after they’ve 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 systems miss the moments that matter most. The missed moments occur when a customer or prospect demonstrates buying intent during a critical event moment. Teams need to capitalize on the opportunity to convert that intent into action. Not acting on this behavior 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 don’t handle this 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 demonstrating event ROI ranks as the top priority for 95% of events teams. Industry data reveals a persistent measurement gap. Industry data shows 82% of marketers cannot quantify the data received from attendee interactions at their corporate events.

This issue is not an attribution or people problem. Marketers and event teams are highly skilled and thoughtful. The real problem is that existing technology makes it hard to use data effectively. This technology causes 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 that can be observed and measured.

Engagement patterns, questions, pain points, and who buyers surround themselves with and interact with at the event let observers measure genuine interest in real-time. Observers understand exactly where customers are in their buying journey.

Buyers walk in with specific intent. Detailed questions about integration architecture or compliance requirements are not small talk. These questions are evaluation of whether the solution is a good fit.

Sales teams need buyer propensity data immediately. Sales teams also need to act in minutes instead of days. Sales teams need to know exactly what a prospect asked about. Sales teams need to know which features are most desirable. Sales teams need to know who else on their 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 that teams can practically use. Teams use the framework while evaluating 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 the following:

• 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 buying intent. A prospect downloading an implementation guide while asking about deployment timelines is different from someone scanning a badge for a prize draw. Downloading an implementation guide can show purchase intent and can become a great buying signal. Scanning a badge can collect swag. Scanning a badge may produce a great attendee experience without purchasing interest.

AI-powered Event Intelligence platforms classify buying signals automatically. These platforms understand context. These platforms recognize patterns. These platforms distinguish where the buyer is in their journey. Distinctions include casual interest and active evaluation.

Capturing buying signals has an outsized impact on the role of events for go-to-market teams. National Instruments, a Certain customer, 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 shared 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 second pillar 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 session occurs at 11am. Another session occurs 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. The prospect has a critical requirement around scalability. The rep knows what sessions the prospect attended. The rep knows the prospect’s pain points. The rep knows that the prospect is in active evaluation. The rep knows that the prospect wants to engage with a Solutions Architect. The technology sets up a meeting automatically during the event.

Capturing buying signals is meaningless if signals arrive too late. Traditional event platforms still rely on batch exports. Batch exports can be contact lists in CSV files that show up days later 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. 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 thousands of events worldwide. Requirements to distribute data at this scale are complex. Event Intelligence platforms are scale agnostic. Event Intelligence platforms allow data to flow to and from the platform with ease. This enables any type of event program and the data integration and workflow needed.

Event builds also need to be repeatable. Many legacy event platforms treat each event as its own independent project. Event Intelligence platforms do not think of events as standalone. Event Intelligence platforms understand how each event fits within the overall event portfolio. Event Intelligence platforms enable replication. Event Intelligence platforms provide event intelligence at the portfolio level.

Companies that manage hundreds of events annually must deploy technology that answers questions about results. These companies include roadshows, conferences, webinars, and customer summits. These technology questions include:

• Which event type in our events portfolio generates the highest-quality pipeline?
• Which audiences convert best, on which pain points, and with which products?
• Where should we invest more budget next year?
• What’s our event-influenced and event-sourced revenue by event type and across the portfolio?

Legacy platforms tell attendees and session attendance information. Legacy platforms can show 1,042 attendees. Legacy platforms can show who attended session A or B. Legacy platforms cannot tell whether attendees were solving a particular pain point. Legacy platforms cannot tell whether attendees converted because of a specific value proposition.

AI-driven Event Intelligence platforms aggregate signals across an entire events portfolio. These platforms identify patterns. These platforms enable predictive analytics. These 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 these outcomes. Tying events to revenue remains difficult.

Event Intelligence changes the game. Now board meetings can use 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 CFO-relevant. These numbers justify event budgets. These numbers also accomplish something even more valuable.

Event Intelligence unites the entire go-to-market organization around shared outcomes. Shared intelligence enables acceleration in the go-to-market engine.

Marketing stops chasing attendance numbers. Marketing designs events that generate meaningful buying signals worth following up on.

Sales gets intelligence-rich opportunities instead of 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. This approach removes 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 that Customer Success might otherwise miss.

Event Technology Evaluation

When evaluating event platforms, teams should ask questions centered on buying signals, speed of data delivery, integration locations across a technology stack, and scalability for events.

Questions we encourage teams 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 our CRM, Slack, and anywhere we work in real-time?
• Can we aggregate intelligence across our entire event portfolio?
• How do you differentiate between analytics and deep intelligence?

Other areas to explore include:

Early Adopters are Gaining an Edge

Many organizations continue to measure events through satisfaction polls. More advanced teams gain a competitive edge by using every engagement opportunity to understand intent to buy.

Deploying an AI-driven approach to understanding intent is low-hanging fruit for real AI transformation in marketing. This approach also drives efficiency. This approach also produces better outcomes.

The AI in event management market experiences 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 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 difference is timing. The difference is whether organizations lead the transition or lag behind.

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. These results include faster sales cycles. These results include higher conversion rates. These results include the ability to prove event ROI with actual revenue numbers.

The key to working with any event technology is ensuring Event Intelligence captures every buying signal. Event Intelligence must deliver buying signals directly to revenue teams in real-time. Event Intelligence also must connect event engagement 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 the latest report, The Ultimate Guide to Event Buying Signals. This report shares how CMOs and marketing teams identify and connect the right event buying signals to influenced, accelerated, and closed-won revenue.

Keep reading

• Events Won the Budget. Orchestration Is How You Prove the Return.
• You Don't Have to Wait to Be AI-Ready. Your Events Already Produce the Signal.
• Start With the Revenue, Then Pick the Date: How to Plan an Event for Pipeline