Person Level Intent Data: The ABM Upgrade You Need

ABM promised to fix outbound.

It didn't. It just made it more expensive.

You went from spraying emails at random lists to spraying emails at curated lists. Better? Sure. But still spraying. Still guessing. Still hoping the person you're emailing is the one who actually cares.

Person-level intent data is the upgrade ABM always needed. And most teams still don't know it exists.

What ABM actually delivers

Let's be honest about what traditional ABM gives you.

A list of accounts. Usually based on firmographic data. Right industry. Right size. Right tech stack. Right geography. You load that list into your tools. Your SDRs start working it. They find contacts at each account. They run sequences. They follow up. They follow up again.

Some of those accounts respond. Most don't. The ones that respond might not be ready. The ones that are ready might not be talking to the person you emailed.

ABM gives you logos. It does not give you buyers.

And the gap between "logo" and "buyer" is where pipeline goes to die.

The intent gap

Here's what kills me about the current ABM stack.

You spend $50K a month on ads. You drive 10,000 visitors to your site. Those visitors are browsing your product pages, reading your case studies, comparing your pricing.

That's intent. Real, behavioral, undeniable intent.

But 97% of those visitors leave without identifying themselves (InsideSales research). They don't fill out a form. They don't book a demo. They browse and they leave.

Your ABM tools see that traffic at the company level at best. "Someone from Stripe visited." "Someone from HubSpot visited." So your SDR goes to LinkedIn, picks a name that looks right, and sends a cold email.

Meanwhile, the actual person who visited your site never hears from you. Or they get a generic email three weeks later from a marketing automation sequence.

The intent was there. You just couldn't see it at the person level.

What person-level intent changes

When you can see the actual human on your website, everything downstream changes.

Speed to lead drops from days to minutes.

Someone hits your pricing page. You get a Slack notification. "Sarah Kim, Head of Demand Gen at Notion, just spent 4 minutes on your pricing page. Here's her email and LinkedIn."

Your SDR reaches out while Sarah is still thinking about you. Not tomorrow. Not next week. Right now.

That speed advantage is massive. The first vendor to reach out after someone shows intent has a significant advantage over everyone who follows. When you can identify the person in real time, you're always first.

Multi-stakeholder detection becomes automatic.

Traditional ABM treats accounts as monoliths. One account. One sequence. One point of contact.

But buying committees have 6-10 people (according to Gartner research). When MidBound shows you that three different people from the same company visited your site this week, you're not just seeing an account. You're seeing a buying committee forming in real time.

VP of Sales looked at pricing Monday. Director of RevOps read a case study Wednesday. Head of Marketing browsed the integrations page Friday. That's not three random visits. That's an active evaluation.

Your team can engage all three. At the same time. With messages tailored to what each person actually looked at.

ICP matching happens at the individual level.

Instead of matching accounts to your ICP, you're matching people. MidBound filters visitors against your ideal customer profile automatically. So your team doesn't get noise. They get a feed of ICP-matched individuals who are actively on your site.

Not "this company matches your ICP." This person, at this company, with this title, in this department, matches your ICP and is on your pricing page right now.

Real use cases I've seen work

Demand gen agencies using person-level identification can show clients the exact people their ads drove to the site. Instead of reporting impressions and company-level visits, they report actual identified visitors sorted by ICP fit. That shift in reporting quality changes the client conversation entirely.

Mid-market SaaS companies with long sales cycles see the biggest impact on speed to lead. When SDRs can reach out to visitors who were on the pricing page that same day instead of working cold accounts, conversations start faster and cycles compress. Not because the pitch changes. Because the timing does.

PLG companies with freemium products can layer person-level identification on top of their signup flow. When you can see which signups are also browsing enterprise features pages, your enterprise sales team knows exactly who to prioritize. The signal is already there. You just need to see it.

How it works without being creepy

I get the question. "Isn't this invasive?"

MidBound matches website visitors against publicly available professional data. LinkedIn profiles that people created and published themselves. We're not accessing private information. We're connecting a website visit to a professional identity that already exists in the public domain.

It's not surveillance. It's context.

When someone visits your website, they have intent. They chose to come to you. Reaching out to them with relevant information based on what they looked at isn't invasive. It's responsive.

The setup

Here's what it looks like to actually run this.

Install a snippet on your website. Define your ICP criteria. Connect Slack, HubSpot, or your webhook of choice.

When an ICP-matched person visits your site, you get a real-time notification. Name. Title. Company. LinkedIn profile. Validated email. Pages they viewed. Time on site.

Your SDR has everything they need in one alert. No research. No guessing. No LinkedIn stalking.

Reach out. Reference what they looked at. Start a conversation that's actually relevant.

That's person-level intent. That's the ABM upgrade.

14-day free trial. No credit card. If your site gets 1,000+ US visitors a month, you'll see results in the first week.

Frequently Asked Questions

What is person-level intent data?

Person-level intent data tells you the exact individual showing buying behavior on your website. Not the company. The person. Their name, title, email, LinkedIn, and what pages they viewed. It's the difference between "Stripe is interested" and "Sarah Kim, Head of Demand Gen at Stripe, spent 4 minutes on pricing."

How does person-level intent improve ABM campaigns?

Traditional ABM gives you logos and hopes you guess the right contact. Person-level intent gives you the actual human evaluating your product. You stop spraying sequences at titles that look right and start reaching out to people who are actively on your site. Speed to lead drops from days to minutes.

What is multi-stakeholder detection in B2B sales?

When 3 different people from the same company visit your site in the same week, that's a buying committee forming in real time. MidBound shows you each individual, what they looked at, and their role. VP checked pricing. Director read a case study. Head of Marketing browsed integrations. You engage all 3 at once.

Can person-level identification work with existing ABM tools?

Yes. MidBound layers on top of whatever ABM stack you're running. Plug in Slack, HubSpot, or webhooks. Keep your target account list. Keep your ICP criteria. Now you actually see which humans at those accounts are on your site. Your ABM strategy stays. The guessing stops.

How fast can sales teams reach identified website visitors?

Minutes. Someone hits your pricing page. You get a Slack notification with their name, title, company, email, and LinkedIn. Your SDR reaches out while that person is still thinking about you. The first vendor to respond after someone shows intent has a meaningful advantage over everyone else. You're always first.

What is the difference between intent data and person-level intent data?

Regular intent data tells you a company is "in market" based on content consumption signals. Vague. Unactionable. Person-level intent data tells you a specific individual visited your specific website, which pages they viewed, and how long they stayed. One is a signal. The other is a prospect.