Practice · May 15, 2026 · 8 min read

B2B intent data: reading buying signals in website traffic

Not every visit is a buying signal. This is the short list of visit patterns that actually indicate intent, a simple scoring table your team can adopt on Monday, and how to route the results to sales without another integration.

Upward line chart with pulse markers and a magnifying glass over a company icon.

Most of what looks like a signal is noise. A single visit to your homepage from a company IP means somebody had thirty free seconds; it does not mean somebody is buying. The visits that do indicate intent share a few structural features — pages visited, sequence, recency, breadth of the account. This piece is the short version of what SDR teams learn after three months of watching the feed.

What actually counts as a buying signal

A buying signal is a visit pattern that a random reader would not produce — someone with an active problem, not curiosity, generated it. Five patterns hold up across industries.

  • A visit to the pricing page. The single strongest one-visit signal.
  • A return visit within seven days. Second contact is far more predictive than first.
  • Multi-stakeholder activity: two or more sessions from the same company on the same week.
  • A comparison or "vs" page view. People land there because they are in evaluation.
  • A deep read on a product-specific tour or docs page (dwell time > 90 seconds).

A scoring table you can adopt on Monday

The scoring below is deliberately simple: add points as signals accumulate, cap the score, and route the tiers to the right owner. It exists to prioritise a Monday-morning list, not to model intent perfectly.

SignalPointsNotes
ICP fit (industry + size match)+2Non-ICP resets everything to zero
Any visit to /pricing+3Highest per-visit weight
Comparison or "vs" page+3Explicit evaluation intent
Return visit within 7 days+2Applies once per week
Two or more sessions in the same week+2Proxy for multi-stakeholder
Product tour / demo page, > 90s dwell+2Once per session
Blog / TOFU content only+0Not scored
Visit from a career-page-only path−2Job-seeker signal, not buyer
A first-pass intent scoring table for identified companies.

Score into three tiers: 7+ points is a "route to owning AE within one hour", 4–6 is a "route to SDR queue for same-day outreach", 1–3 is a "monthly digest, no per-visit action". Tune the thresholds after two weeks of live data — you will know within a fortnight whether your top tier is too generous.

The rule that keeps this useful

Kill any signal that produced zero replies for a month. Signal quality decays; new ones (a new product page, a launched integration) appear. Review the table quarterly, not annually.

Routing without a new integration

A common mistake is to make routing depend on a new tool. It does not have to. Three routes cover almost every SaaS team.

  1. Slack channel for the top tier — one message per identified company, with the pages, the reason it scored, and a link to open the company in the CRM.
  2. Assignment rules in your CRM — the second tier lands as a task on the SDR who owns the industry or region.
  3. A weekly digest for the third tier — no action required, but a place marketers look on Monday to see which content is pulling ICP-fit companies in.

The first message

The message that follows a buying signal is not the same message that opens a cold-call sequence. Reference the page they read, one specific outcome your product produces, and one soft ask — a fifteen-minute conversation, not a demo. Signal-based outreach converts because it is timely and specific; the moment it turns into a template, the reply rate drops back to cold-call baseline.

lead.box Team

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lead.box Team

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