Turn website visitors into qualified leads
The client already identified companies visiting its site. We turned that raw feed into clean, company-linked signals, ran each company through a disqualify-only ICP filter, and routed the survivors to the right pipeline.
Works ifYou already identify companies visiting your site.
The system
Visitor ID
Companies on the site
Disqualify only
Block clear misfits
Routing
Right pipeline, tagged
The signal
A company visited the client's website.
Why it predicts a purchase
On its own it shows interest, not intent. Combined with a stronger signal it tells you who to contact first.
How it works
Match strictly
A web visit is not strong enough evidence to create a company. Only a LinkedIn URL or domain match counts. Most matched on domain.
Flip the filter
An allow-list of approved sectors was starving the pipeline. It became a short block-list of clear misfits with one rule: if unsure, qualify, so more leads reach the rep by default.
Filter by country at the first hop
Non-local visitors leaked into the pipeline because the country field never reached the sub-workflow. Filter where the data enters, not three steps later.
Build notes
- A no-code sub-workflow only receives the fields you map explicitly. The missing country field was a silent failure, not an error.
- In a 12-company test, the AI sector check returned malformed JSON once. The dedup cache made the retry free.
Questions
Why disqualify-only instead of an allow-list?
An allow-list starved the pipeline. A short block-list of clear misfits with “if unsure, qualify” sends more leads through and lets the rep decide.
More builds
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A vertical database already lists your buyers with contacts, and a founder will make the closing calls.
Build lists from data you already own
You have a CRM or database you have never fully worked.
Put every signal in one table
You run more than one signal source and want one view per account.
The next step