AI & Data
Peter Micciche July 21, 2026 By Peter Micciche, CEO, Certain
TL;DR (the short answer)
Revenue teams have built agentic stacks that score, route, and respond in seconds. The most concentrated buyer-intent moment stays invisible to those agents. The invisible moment is the moment a prospect walks up to your event check-in table. Most companies run that moment as logistics. Running check-in as logistics produces a badge count. The badge count reaches the CRM days later. Run check-in as a sensor instead. Pair the scan with a few declared answers. The door starts feeding agents the highest-quality first-party signal they’ll get all year.
There’s a quiet contradiction in most go-to-market operations right now
Revenue teams are stacking orchestration layers on their CRMs. Revenue teams are adding agents that score, route, draft, and respond faster than any human team could. The single most concentrated source of buyer intent stays almost entirely invisible to those agents. The source is the moment a prospect walks into your event’s lobby and steps up to the check-in table.
For years I’ve watched companies treat check-in as logistics
Companies build event programs of real sophistication. Companies then treat check-in as a logistics task. Badges print. Lines move. A count lands in a report the next morning. The signal that produced the badge count gets flattened into a spreadsheet row. The signal is a high-intent buyer choosing to give you a day of their time. Sometimes that row reaches the CRM inside 48 hours. Often the rep doesn’t see the row until the following week. The buyer’s routine returns. The urgency that brought the buyer in is gone.
The problem changes when the stack runs on agents built to act in seconds
It was worth solving when the rest of the stack ran at human speed. The problem becomes different when the stack runs on agents built to act in seconds.
Why can’t your agentic GTM stack see event check-in?
Most companies still run check-in as a logistics task. Running check-in as logistics produces a badge count and a list, not a signal. Your agents feed on digital streams in real time. The door hands its data to a spreadsheet. The spreadsheet reaches the CRM days later. The CRM receives the data long after the buyer’s intent has cooled.
How the promise of an agentic stack works for digital channels
The promise of an agentic stack is that systems doing the work absorb signals around them. The systems do the work while the moment is still alive. For digital channels, that mostly works. Website visits flow into the same systems the agents draw from. Content engagement flows into the same systems the agents draw from. Email opens flow into the same systems the agents draw from. Third-party intent flows into the same systems the agents draw from. Product usage flows into the same systems the agents draw from. Agents see these streams as they happen.
The event check-in is the readiness gap agents can’t see
Gartner’s 2026 CMO research shows the scale of the bet behind that promise. CMOs now put an average of 15.3% of their marketing budgets into AI. 70% of CMOs call becoming an AI leader a critical goal. Only 30% of CMOs say their AI readiness is mature. The event check-in is the exact shape of that readiness gap. The event check-in is the part of the buyer journey the agents can’t see.
This is a systems gap, not a strategy gap
Marketing, sales, and event teams understand what the moment is worth. What’s been missing is a layer. The layer captures the data with the precision agents need. The layer delivers the data at the speed agents expect.
How does event check-in work as a go-to-market sensor?
The check-in table is the first physical sensor in your go-to-market architecture. It captures the moment a prospect turns from digital researcher into an in-event buyer. The prospect is a verified human. The prospect is standing in front of you. The prospect is present and engaged. The prospect is often with colleagues. The rest of the day is still ahead of the prospect. Run check-in as a sensor. The sensor reflects intent, not attendance.
Running check-in as logistics produces different data than running it as a sensor
Treated as logistics, the moment gives you logistics data. Logistics data includes a check-in count. Logistics data includes a list of printed badges. Operated as a sensor, the same moment gives you a VIP arrival. The VIP arrival is pushed to a rep’s phone in seconds.
Running check-in as a sensor makes buying committee formation visible
The sensor gives you a buying committee you can watch form. Three people from one account scan within five minutes of each other. Each person declares a different role when they answer questions at the badge. Committee composition reaches sales as a structured record. A structured record replaces a guess. The sensor gives session attendance. Session attendance lands in the CRM while the session is still running. That’s the difference between an event that produces a debrief and one that produces pipeline.
What questions turn check-in presence into buyer intent?
The questions worth asking are the ones an agent can act on. Where is the prospect in their evaluation? What is the prospect’s role in the buying committee? Which 2026 initiative brought the prospect through the door? Which platform does the prospect run today? Would the prospect like a meeting before they leave? Five declared answers are captured. Each answer is a structured, first-party field. Each field routes straight into the CRM.
Check-in signal includes declared answers and scan behavior
The behavioral data from the scan is only half the signal. The other half is what people willingly tell you when you ask at the right moment. Check-in is the highest-consent, highest-attention interaction your brand gets with a prospect all year. The prospect is in your lobby. The prospect has already self-selected onto your radar. The prospect is ready to spend the next several hours with you.
Declared answers from verified buyers are a strong input for a revenue stack
In a market where third-party intent is softening, a declared answer matters. In a market where cookie-based identity is coming apart, a declared answer matters. A declared answer from a verified buyer at your event is the strongest input your revenue stack will get this quarter.
Reference for deeper treatment of event check-in answers
For the deeper treatment of which answers matter most, see what buying signals you can capture at event check-in.
What does slow event follow-up cost you?
Slow event follow-up costs you the deal. The intent a buyer brings into your event has a short shelf life. Most follow-up arrives long after the intent has gone. Forrester found 95% of event teams rank proving ROI as their top priority. 82% of marketers say they can’t quantify what attendee interactions produce. The gap isn’t effort. The gap is a record that reaches sales too late to act on.
Timing compounds the cost of slow follow-up
Timing compounds it. Harvard Business Review’s analysis of more than two million sales leads found the average company takes 42 hours to follow up. Firms that reached a prospect within an hour were nearly seven times more likely to qualify the lead than firms that waited even 60 minutes longer. For event-sourced leads, MarketingProfs found 74% of B2B marketers take four or more days to follow up. Only 2% reach the prospect the same day.
The buying group makes follow-up timing more important
The buying group makes the stakes higher. Gartner puts the typical B2B committee at five to eleven stakeholders. The committee spans an average of five business functions. Events are one of the few settings where the committee reveals itself in a compressed window. Colleagues from one account often arrive together. The moment colleagues check in within minutes of each other should be one of the strongest signals sales gets all quarter. In most companies, that moment never reaches sales.
How does Greet capture event check-in as a signal?
Greet is the check-in and badge intelligence layer.Greet turns the first moment of your event into a real-time, first-party signal stream your stack can act on.
Greet pairs behavioral data from the scan with answers a buyer gives to questions at the badge.
Greet runs on devices your team already owns.
Greet routes into Salesforce.
Greet routes into HubSpot.
Greet routes into Marketo.
Greet routes into Eloqua.
Greet fits compatible printers and works with event platforms
Greet prints to any compatible printer at the event. Greet works alongside Certain Event Management and Certain Signal. Greet runs independently for teams whose primary platform is Cvent. Greet runs independently for teams whose primary platform is RainFocus. Greet runs independently for teams whose primary platform is Bizzabo. Greet runs independently for teams whose primary platform is something else.
What changes when Greet sits at the front door
Greet sits at the front door. Your systems stop going blind when highest-intent buyers walk in. VIP arrivals push to the right account team in seconds. The VIP arrivals push instead of surfacing in a Monday report. Walk-ins flow back to your registration platform. Walk-ins flow back with the same fidelity as scheduled attendees. Buying-committee formation becomes visible in real time. If venue connectivity drops, Greet keeps running offline. Greet syncs the moment when connectivity returns.
Where to start before your next event
Review the next event on your calendar with one question in mind. The question asks how long it takes for buying committee information to reach the account team. The information reaches the account team in a form they could act on. The buying committee is from your most important target account. The buying committee walked into the lobby tomorrow morning.
Decide whether the event is invisible based on timing
If the answer is measured in days, the event is invisible to your stack. If the event is invisible, the rest of the quarter’s investment in agentic AI is working at a fraction of its potential. If the answer is measured in seconds, you’re operating differently than most competitors. If you’re operating differently, the event is producing data your agents were built to use.
Closing the gap adds a sensor at the door
Closing the gap isn’t a new strategy. Closing the gap isn’t replacing the platforms you already run. Closing the gap is putting a sensor at the door. Closing the gap is connecting the sensor to systems already designed to act on what it captures. If you want to see check-in run as a sensor, Greet is live. Request a walkthrough at certain.com/greet.
Frequently asked questions
Why can’t your agentic GTM stack see event check-in?
Most companies still run check-in as a logistics task. Running check-in as logistics produces a badge count and a list, not a signal. Your agents feed on digital streams in real time. The door hands its data to a spreadsheet. The spreadsheet reaches the CRM days later. This happens after the buyer’s intent has cooled.
How does event check-in work as a go-to-market sensor?
The check-in table is the first physical sensor in your go-to-market architecture. It captures the moment a prospect turns from digital researcher into an in-event buyer. The prospect is a verified human. The prospect is present and engaged. Run check-in as a sensor. The data reflects intent, not attendance.
What questions should you ask buyers at event check-in?
Ask the questions an agent can act on. Where is the prospect in their evaluation? What is their role in the buying committee? Which 2026 initiative brought them in? Which platform do they run today? Would they like a meeting before they leave? Five declared answers are captured. Each answer is a structured, first-party field. Each field routes into the CRM.
What does slow event follow-up cost you?
Slow event follow-up costs you the deal. HBR’s analysis of more than two million leads found the average company takes 42 hours to follow up. Firms that reached a prospect within an hour were nearly seven times more likely to qualify the lead. Firms that waited even 60 minutes longer were less likely to qualify the lead. For event leads, MarketingProfs found 74% of marketers take four or more days. Only 2% reach the prospect the same day.
Author note
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 learn more about transforming events into revenue engines.
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