What Buyer Intent Data Is and What It Is Not

Intent data is currently the darling of B2B sales. Marketing departments talk about it as if it’s a magic crystal ball that tells you exactly who is sitting at their desk, credit card in hand, ready to buy your software.

Let’s clear the air: intent data is not a magic lead list. It is a prioritization filter.

When used correctly, intent data tells you which companies are showing elevated interest in your category compared to their baseline. When used incorrectly, it leads to generic, creepy email blasts that get flagged as spam.

The Two Types of Intent

To build an outreach strategy around intent, you must understand what you are tracking:

• Third-Party Intent: Sourced from publisher networks, search trends, and content consumption (e.g., companies researching “outbound logistics software” on third-party forums).
• First-Party Intent: Sourced from your own digital properties (e.g., anonymous companies visiting your pricing page, downloading whitepapers, or interacting with your site).

The Intent Sieve

Intent data alone does not create conversations. If an intent tool tells you that “ACME Corp” is researching your category, you still have to:

1. Identify the Buying Committee: Who at ACME Corp is researching? Is it the VP of Infrastructure? A junior analyst?
2. Find Enriched Contact Info: Sourcing their real, verified email addresses.
3. Build the Campaign Angle: Writing a message that references their challenges without sounding like you are spying on their browser history.
4. Deliver the Outreach: Reaching the inbox through authenticated infrastructure.

The Analogy: Intent data is like knowing which houses in a neighborhood are thinking about selling their home. It saves you from knocking on every single door, but you still have to walk up to the house, knock on the door, and make a compelling pitch.

Turning Signal into Pipeline

At SimplyLinked, we treat intent data as step one of our five-step acquisition process. We monitor first-party and third-party signals, but we don’t stop there. We feed those signals into our enrichment waterfalls to identify the exact decision-makers, verify their contact details, and write highly timed, contextual messages.

If you want to turn intent signals into real sales conversations, don’t just collect the data—operationalize it.