How to Spot Real Buyer Intent in Inbound

When a big name lands in your inbound, the team understandably gets excited.

Unfortunately, landing in your inbound doesn’t necessarily mean they’re interested.

"The issue with that excitement is you don't know if they're serious, you don't know if they're curious, you don't know if they have budget," says Tyler Calder. "How real is this thing? And how big could it be?"

As CMO at PartnerStack with a career spanning agency, in-house, and B2B and B2C across companies large and small, Tyler’s goal is to make marketing a revenue engine for the organization. According to him, understanding inbound intent is central, but most teams read it wrong.

"I think a lot of what businesses experience is just curiosity," Tyler says. "Somebody new starts at a big name company. They just start researching tooling. They want to put a point of view together. They're talking to everybody. They don't even know if they have budget."

Here’s how Tyler thinks teams can get better intent signals and stop wasting time.

The problem with intent you can't explain

So how do you tell a serious buyer from a curious one? The most common answer is to buy a third-party intent score. Tyler has never trusted them.

"I have issues with third-party signals. It's always a black box,” he says. “Nobody can really tell you why they think somebody is in market and has high intent."

If you can't explain why a score says a buyer is hot, you can't act on it with any confidence.

"There's no difference between they're just educating themselves versus they're actually in market," Tyler says. The score flattens all of that into one number, and the team is left guessing again, just with more expensive inputs.

For Tyler, the more trustworthy signal was sitting in his own data the whole time.

What the signals actually tell you

Tyler's solution is to focus on first-party behavior, the things a buyer does on your own site, and let those actions separate the serious from the curious.

The pattern shows up in how someone moves through the site. Curiosity looks scattered. "They're looking at everything, and it's so disjointed that it doesn't point to anything that suggests they know what they're actually in market for or what challenge they're trying to solve for," Tyler says.

Real intent looks focused. Someone hits the interactive demo, the pricing page, a relevant case study, a webinar. Those actions stack up into a clear read: this person is circling a specific problem.

The real payoff shows up in the first call with a sales rep.

"It seems crystal clear what it is they're coming in with and what challenge they're trying to solve, in which case we can start to tailor the experience to that," Tyler says.

It's the kind of insight Spara is built to surface automatically, so a rep can walk into that first call already knowing what the buyer came to solve.

Curiosity still gets a response, it just comes with realistic expectations. "It just means the expectation is this is going to be a very long sales cycle."

Reading behavior this way also changes what enrichment is for. It used to answer one question: is this a good-fit account? Tyler now takes fit as a given and asks a bigger one, who else at the company should we be talking to?

The person who fills out a form usually isn't the only one paying attention. If an affiliate manager requests a demo while two of their colleagues have quietly been browsing the site, that's your cue to engage the whole buying group, not just the single lead in your inbox.

Reading intent is only half the job

Spotting real intent doesn't matter if you're slow to act on it.

PartnerStack used to take four to five days to book a meeting with an inbound lead. "Everybody knows time kills deals," he says. In that window, a buyer might decide to go with a competitor. Today the team books the same day, and the meeting show rate climbed from around 85% to nearly 100%.

Speed at that level isn't a human strength, and Tyler doesn't pretend otherwise.

"Having a human dedicated just to inbound qualification doesn't make sense to me. That work is done far more accurately, and far more quickly, through automation." - Tyler Calder

The point isn't to remove people. It's to move them to where they create more value. "You then redistribute those people to be far more collaborative in your orchestrated outbound, opening up key accounts," he says.

That matters most at scale, where inbound gets lost between teams.

His one caution: don't over-engineer the response. Tyler has seen automated workflows "become the most complex decision trees I've ever seen in my life, and they yield no results." His advice is to "keep things as simple as possible to start, and then grow from there."

This is exactly the shift Spara is built around. The pages a lead visits already give you a strong read on intent. Layer on what they're asking when they land on those pages, and you've got a goldmine of signal. Spara qualifies and books them on the spot.

Final takeaway

The strongest inbound signal isn't a score you can't explain. It's what the buyer actually does.

Read that behavior, and you can tell curiosity from real intent, tailor the first conversation, and map the whole account instead of chasing one contact. Act on it fast, and you capture the moment before it passes.

That's the direction inbound is heading: away from opaque intent scores you can't explain, toward first-party signals that can be acted on in real time.