Commercial property intent data, done properly

Intent data for commercial property — events, not clicks.

B2B “intent data” usually means topic-research signals: someone at the company read articles about office design. Property decisions deserve better evidence. Signal’s intent layer is built from events that cost money and leave a public record — leases, planning applications, filings, hiring — the things companies do, not the things they read.

771

London companies showing live office-change intent right now

scoring 80+ — moving imminently

382

lease expiries & breaks inside 18 months

155,131

London companies tracked

Live figures from Signal’s London office statistics · figures update weekly · computed 8 August 2026

Why pipelines run late

By the time it’s public, it’s priced.

Topic intent is weak tea

Reading about “office relocation” might be a student, a journalist, or the office manager daydreaming. A lease break in 11 months is none of those things.

Web signals miss property entirely

Office decisions are made in board meetings and agent calls, not search sessions. The digital exhaust barely exists — the paper trail does.

Generic intent can’t time a project

Even real research intent can’t say 6 months vs 2 years. Physical events carry their own clocks.

Where the leads come from

Public record in, scored shortlist out.

Spot

HM Land Registry lease events, Companies House filings, local-authority planning, hiring and growth — read continuously across 155,131 London companies.

Score

Every company is ranked 0–100 by how strong, recent and combined its signals are. 60+ is in market; 80+ is imminent. Scores re-run weekly.

Act

Your dashboard opens on your patch: ranked companies, the why-now in one line, timing window, and a decision-maker to call.

We speak your language

First-party events, public-record provenance, scored 0–100, weekly refresh, per-lead why-now — intent you can defend in a pipeline review.

FAQ

Questions, answered.

How is this different from Bombora-style intent data?+

Topic-intent products infer interest from content consumption across publisher networks. Signal infers intent from recorded events: a lease approaching its end, a planning application, an ownership change, sustained office-based hiring. Event intent is rarer but far stronger — and it carries timing, which research intent never does.

What events count as intent?+

Around a dozen signal families: lease expiries and breaks (HM Land Registry), planning and prior-approval applications, Companies House filings (growth, charges, ownership changes), hiring patterns, headcount-vs-floor-area pressure, funding events, and building-level displacement like landlord works. Each lead shows exactly which fired.

Can I pipe this into my CRM or stack?+

Pursued leads push to your CRM with the full evidence pack attached (HubSpot first, more connectors on the roadmap). The dashboard is the primary surface; API access is available on the bespoke tier.

Is it GDPR-compliant?+

The intent layer is built entirely on public records about companies, not individuals. Named contacts are sourced from compliant B2B providers under a legitimate-interest basis, with provenance retained per record.