Our team just got back from exhibiting at the MarketingProfs B2B Forum in Boston. We had dozens of great conversations with fellow B2B marketers, both in and out of our booth. And like any good event, a certain talk track started to stand out. One theme hit harder than the rest: attribution and segmentation.
Many of the sessions were about segmentation and full‑funnel reporting—things that are extremely possible to do in the digital world. So when marketers came by and asked, “What does Mobly do?”, we posed a hypothetical:
“What if your leads from events had the same level of attribution and segmentation as your digital leads?”
Just like you know how many site visits it takes to book a demo…what if you knew how many in‑person touchpoints it took? Just like you segment and personalise digital nurture streams…what if you could customize follow‑up by interest, urgency, or product fit for your event leads? Attribution and segmentation are alive and well on digital channels. But for in‑person…? Calling it a black box is probably too generous. And marketers felt that. This realization sparked conversations about bringing digital‑level attribution and segmentation to every in‑person lead.
The metrics and intent signals in digital marketing are endless: UTMs, referring sources, scroll depth, auto enrichment, etc. But what do they all have in common? Us marketers take them for granted.
As over‑the‑top or corny as it may be to customize your hero heading based on who’s visiting your site, we still do it. Why? Because we can. And frankly, why wouldn’t we? Why not personalise every single digital touchpoint your buyers have with your brand? The data is there, so we might as well use it to better target, better segment, and better convert. We build scientific, almost surgical playbooks around it.
So if we’ve been conditioned to demand precision in digital, why do we make an exception for in‑person marketing? The answer is simple: because we’re still relying on legacy systems to capture in‑person data.
To drive this home, let’s compare two first‑time customer journeys side by side: someone landing on your website vs. someone walking up to your 10x10 booth.
When someone lands on your site, you’re capturing intent signals instantly. Before they even lift a finger, you have gathered data. You know their landing page, referring source, and campaign. If your setup is more advanced, you’re using reverse IP to identify their company or even the individual. Maybe you’re pre‑populating a demo form for them. And once they do fill it out, you collect qualification data like product interest, job title, and company size. The moment this lead enters your system, you have a mountain of attribution data you can use to segment, score, and personalize their journey based on where they are in the buying process.
Now compare that to someone who walks up to your booth. You start with nothing but a name and a face. You have a quick five‑minute conversation where they tell you about their role, their company, and what product caught their eye. In your head, you’re thinking, “good lead, we need to follow up.” But you still don’t know things like company size, tech stack, buying triggers, or team structure.
Then another attendee walks in. They’re interested in Product B and basically ready to book a demo when you get home… but you don’t have their email yet, and you’re praying they get routed to the right rep. Fast‑forward to when you’re back from the event. You receive a CSV of leads. Half the names blur together. You can’t remember who cared about what. So what do you do? You send one catch‑all, generic post‑event email that doesn’t reflect a single thing you learned in person. No interest‑based segmentation. No tailored messaging. No attribution. It’s the complete opposite of how you treat your digital visitors!
As we walked booth visitors through this logic, you could actually see the moment it clicked. Most of them already knew their event leads were archaic and lacked usable data, but they had never considered the idea of bringing digital‑level attribution and segmentation to their in‑person leads.
They realized they couldn’t answer basic questions like:
That’s when we were able to walk them through what the building blocks of segmentation look like for in‑person marketing.
On the digital side, best practice is to standardize how you collect data. Standardized campaign naming conventions. UTM parameters. Form logic. All of it. Standardised data capture = clearer attribution. You should do the same with in‑person traffic. But that is nearly impossible if you’re relying on whatever default lead capture the event provides or their developer kits.
When you have an in‑person data‑capture method that works universally across any event, you finally have a consistent way to attribute and route your in‑person leads into your CRM. Once you have that figured out, this is the ideal flow for in‑person lead capture in order to mirror your digital funnels:
Use a universal lead‑capture method that integrates directly with your CRM. Every scan or interaction should be associated with the right campaign, event, and source.
Digital parallel: UTMs, referring sources, hidden form fields.
At the moment of capture, determine what types of notes you will collect and what field types they map to. Single line text. Dropdowns. Picklists. These should match your CRM. This is the perfect time to ask qualification questions, just like you would on a digital demo form.
Digital parallel: variable form logic, pre‑populated form fields.
Enrichment is what powers your lead scoring. Most companies need job title, company size, and email deliverability at minimum. You could enrich yourself when you get home, but that slows your speed to lead. Your in‑person capture method should include on‑the‑spot enrichment.
Digital parallel: Third‑party enrichment tools.
Once you have notes, qualification inputs, and enriched data, you can score, route, and assign the lead instantly. The same workflow that happens automatically on your inbound forms can now happen automatically in person.
Digital parallel: marketing automation, sales routing/orchestration, embedded forms.
On the digital side, companies attribute leads through form IDs, hidden fields, conversion events, and referring pages. The same logic applies here. Your lead‑capture method must integrate and map to your CRM so you can track attribution for every in‑person touch.
Digital parallel: lead source fields, recent conversion events.
If you can replicate and repeat this process for every single in‑person interaction, your opportunities for optimization become endless. You are now applying nearly the same data and data speed you have on your digital campaigns to your in‑person marketing.
Suddenly, you are no longer asking “how many badges did we get?” You are asking questions like “which conversations led to the most qualified leads?” and “how many people do we need to talk to in order to generate one opportunity?” You can use your standardized notes to inform smarter plays for your SDRs.
Here are a few examples of the types of segmented, high‑impact follow‑up plays that become possible once you capture real data at the booth:
These are the same segmentation inputs digital teams already rely on, now applied to the one channel that has historically had none of it: in‑person interactions.
This is where we should pause for a second and remember one thing: digital marketing may have more data than in‑person marketing, but it lacks the one element you can’t measure with dashboards or timestamps: interpersonal connection.
It’s not about collecting every possible data point. It’s about collecting the right ones—the ones that help you remember who you talked to, what you talked about, and the small things that made that interaction personal. Those details are what make your follow‑up more human. Your follow‑up is not data‑driven; it is connection‑driven, supported by good data.
At the end of the day, that is the advantage in‑person marketing will always have over digital: the physical environment, the shared energy, the face‑to‑face conversations that actually build trust. As in‑person marketing technology matures and starts to mirror the sophistication of digital, it is important that we do not lose sight of the human side of it. The data should enhance the connection, not replace it.
Generally speaking, in‑person go‑to‑market strategies are still behind digital GTM tech. But that gap is closing fast. For many marketing teams, the status quo is still the same routine: rent badge scanners, talk to people, get a spreadsheet, hope for the best. That is not the reality for our customers, but it is still the reality for many in‑person GTM teams.
In‑person is no longer a fully offline channel. The next wave of high‑performing field and event teams already know this. With every in‑person interaction, they are capturing more intent signals, more context, and more data to power smarter follow‑up. They are segmenting and scoring leads in real time. They are using what happens at the booth to influence their next move, their next campaign, and their entire event strategy.
At the MarketingProfs B2B Forum, this was the moment that landed hardest with the marketers we spoke with. They realized they were standing on top of a channel that had been underdeveloped for years, and they wanted to be part of what in‑person marketing is becoming. They wanted to be part of the shift.
Why is in-person marketing attribution so hard for B2B teams?
Most B2B teams struggle with in-person marketing attribution because event lead capture tools provide almost no usable data beyond a name and email. Unlike digital channels—where UTMs, form fields, and intent signals give marketers clear visibility—booth interactions usually happen offline with no standardized way to track who reps talked to, what was discussed, or what influenced pipeline. Without structured capture, enrichment, and CRM mapping, in-person attribution becomes a black box.
How can marketers bring digital-level segmentation to in-person events?
To replicate digital segmentation for in-person leads, marketers need a consistent method for capturing structured data at every booth interaction. This includes standardized qualifiers, product interest tags, enrichment (job title, company size, email verification), and automating CRM sync so leads flow instantly into existing scoring and routing systems. When captured correctly, event leads can be segmented by buying stage, use case, intent, or urgency—just like digital traffic.
What data should teams collect during booth conversations to improve follow-up?
The most effective in-person teams collect a mix of contextual and behavioral data during booth interactions. This includes product interest, pain points, buying stage, role, urgency, and any competitor mentions. When paired with automatic enrichment, these inputs allow SDRs to send tailored follow-ups (not generic post-event blasts), prioritize hot conversations, and measure which interactions actually convert into opportunities.
Our team just got back from exhibiting at the MarketingProfs B2B Forum in Boston. We had dozens of great conversations with fellow B2B marketers, both in and out of our booth. And like any good event, a certain talk track started to stand out. One theme hit harder than the rest: attribution and segmentation.
Many of the sessions were about segmentation and full‑funnel reporting—things that are extremely possible to do in the digital world. So when marketers came by and asked, “What does Mobly do?”, we posed a hypothetical:
“What if your leads from events had the same level of attribution and segmentation as your digital leads?”
Just like you know how many site visits it takes to book a demo…what if you knew how many in‑person touchpoints it took? Just like you segment and personalise digital nurture streams…what if you could customize follow‑up by interest, urgency, or product fit for your event leads? Attribution and segmentation are alive and well on digital channels. But for in‑person…? Calling it a black box is probably too generous. And marketers felt that. This realization sparked conversations about bringing digital‑level attribution and segmentation to every in‑person lead.
The metrics and intent signals in digital marketing are endless: UTMs, referring sources, scroll depth, auto enrichment, etc. But what do they all have in common? Us marketers take them for granted.
As over‑the‑top or corny as it may be to customize your hero heading based on who’s visiting your site, we still do it. Why? Because we can. And frankly, why wouldn’t we? Why not personalise every single digital touchpoint your buyers have with your brand? The data is there, so we might as well use it to better target, better segment, and better convert. We build scientific, almost surgical playbooks around it.
So if we’ve been conditioned to demand precision in digital, why do we make an exception for in‑person marketing? The answer is simple: because we’re still relying on legacy systems to capture in‑person data.
To drive this home, let’s compare two first‑time customer journeys side by side: someone landing on your website vs. someone walking up to your 10x10 booth.
When someone lands on your site, you’re capturing intent signals instantly. Before they even lift a finger, you have gathered data. You know their landing page, referring source, and campaign. If your setup is more advanced, you’re using reverse IP to identify their company or even the individual. Maybe you’re pre‑populating a demo form for them. And once they do fill it out, you collect qualification data like product interest, job title, and company size. The moment this lead enters your system, you have a mountain of attribution data you can use to segment, score, and personalize their journey based on where they are in the buying process.
Now compare that to someone who walks up to your booth. You start with nothing but a name and a face. You have a quick five‑minute conversation where they tell you about their role, their company, and what product caught their eye. In your head, you’re thinking, “good lead, we need to follow up.” But you still don’t know things like company size, tech stack, buying triggers, or team structure.
Then another attendee walks in. They’re interested in Product B and basically ready to book a demo when you get home… but you don’t have their email yet, and you’re praying they get routed to the right rep. Fast‑forward to when you’re back from the event. You receive a CSV of leads. Half the names blur together. You can’t remember who cared about what. So what do you do? You send one catch‑all, generic post‑event email that doesn’t reflect a single thing you learned in person. No interest‑based segmentation. No tailored messaging. No attribution. It’s the complete opposite of how you treat your digital visitors!
As we walked booth visitors through this logic, you could actually see the moment it clicked. Most of them already knew their event leads were archaic and lacked usable data, but they had never considered the idea of bringing digital‑level attribution and segmentation to their in‑person leads.
They realized they couldn’t answer basic questions like:
That’s when we were able to walk them through what the building blocks of segmentation look like for in‑person marketing.
On the digital side, best practice is to standardize how you collect data. Standardized campaign naming conventions. UTM parameters. Form logic. All of it. Standardised data capture = clearer attribution. You should do the same with in‑person traffic. But that is nearly impossible if you’re relying on whatever default lead capture the event provides or their developer kits.
When you have an in‑person data‑capture method that works universally across any event, you finally have a consistent way to attribute and route your in‑person leads into your CRM. Once you have that figured out, this is the ideal flow for in‑person lead capture in order to mirror your digital funnels:
Use a universal lead‑capture method that integrates directly with your CRM. Every scan or interaction should be associated with the right campaign, event, and source.
Digital parallel: UTMs, referring sources, hidden form fields.
At the moment of capture, determine what types of notes you will collect and what field types they map to. Single line text. Dropdowns. Picklists. These should match your CRM. This is the perfect time to ask qualification questions, just like you would on a digital demo form.
Digital parallel: variable form logic, pre‑populated form fields.
Enrichment is what powers your lead scoring. Most companies need job title, company size, and email deliverability at minimum. You could enrich yourself when you get home, but that slows your speed to lead. Your in‑person capture method should include on‑the‑spot enrichment.
Digital parallel: Third‑party enrichment tools.
Once you have notes, qualification inputs, and enriched data, you can score, route, and assign the lead instantly. The same workflow that happens automatically on your inbound forms can now happen automatically in person.
Digital parallel: marketing automation, sales routing/orchestration, embedded forms.
On the digital side, companies attribute leads through form IDs, hidden fields, conversion events, and referring pages. The same logic applies here. Your lead‑capture method must integrate and map to your CRM so you can track attribution for every in‑person touch.
Digital parallel: lead source fields, recent conversion events.
If you can replicate and repeat this process for every single in‑person interaction, your opportunities for optimization become endless. You are now applying nearly the same data and data speed you have on your digital campaigns to your in‑person marketing.
Suddenly, you are no longer asking “how many badges did we get?” You are asking questions like “which conversations led to the most qualified leads?” and “how many people do we need to talk to in order to generate one opportunity?” You can use your standardized notes to inform smarter plays for your SDRs.
Here are a few examples of the types of segmented, high‑impact follow‑up plays that become possible once you capture real data at the booth:
These are the same segmentation inputs digital teams already rely on, now applied to the one channel that has historically had none of it: in‑person interactions.
This is where we should pause for a second and remember one thing: digital marketing may have more data than in‑person marketing, but it lacks the one element you can’t measure with dashboards or timestamps: interpersonal connection.
It’s not about collecting every possible data point. It’s about collecting the right ones—the ones that help you remember who you talked to, what you talked about, and the small things that made that interaction personal. Those details are what make your follow‑up more human. Your follow‑up is not data‑driven; it is connection‑driven, supported by good data.
At the end of the day, that is the advantage in‑person marketing will always have over digital: the physical environment, the shared energy, the face‑to‑face conversations that actually build trust. As in‑person marketing technology matures and starts to mirror the sophistication of digital, it is important that we do not lose sight of the human side of it. The data should enhance the connection, not replace it.
Generally speaking, in‑person go‑to‑market strategies are still behind digital GTM tech. But that gap is closing fast. For many marketing teams, the status quo is still the same routine: rent badge scanners, talk to people, get a spreadsheet, hope for the best. That is not the reality for our customers, but it is still the reality for many in‑person GTM teams.
In‑person is no longer a fully offline channel. The next wave of high‑performing field and event teams already know this. With every in‑person interaction, they are capturing more intent signals, more context, and more data to power smarter follow‑up. They are segmenting and scoring leads in real time. They are using what happens at the booth to influence their next move, their next campaign, and their entire event strategy.
At the MarketingProfs B2B Forum, this was the moment that landed hardest with the marketers we spoke with. They realized they were standing on top of a channel that had been underdeveloped for years, and they wanted to be part of what in‑person marketing is becoming. They wanted to be part of the shift.
Why is in-person marketing attribution so hard for B2B teams?
Most B2B teams struggle with in-person marketing attribution because event lead capture tools provide almost no usable data beyond a name and email. Unlike digital channels—where UTMs, form fields, and intent signals give marketers clear visibility—booth interactions usually happen offline with no standardized way to track who reps talked to, what was discussed, or what influenced pipeline. Without structured capture, enrichment, and CRM mapping, in-person attribution becomes a black box.
How can marketers bring digital-level segmentation to in-person events?
To replicate digital segmentation for in-person leads, marketers need a consistent method for capturing structured data at every booth interaction. This includes standardized qualifiers, product interest tags, enrichment (job title, company size, email verification), and automating CRM sync so leads flow instantly into existing scoring and routing systems. When captured correctly, event leads can be segmented by buying stage, use case, intent, or urgency—just like digital traffic.
What data should teams collect during booth conversations to improve follow-up?
The most effective in-person teams collect a mix of contextual and behavioral data during booth interactions. This includes product interest, pain points, buying stage, role, urgency, and any competitor mentions. When paired with automatic enrichment, these inputs allow SDRs to send tailored follow-ups (not generic post-event blasts), prioritize hot conversations, and measure which interactions actually convert into opportunities.