Build a Target Account List From Any Domain

What does a domain-based prospect list actually look like?

Say you sell managed voice services and your best customer is a regional telecom reseller. You paste that customer's homepage. The analysis reads the site and records what the business does, the industry it sits in, roughly how big it is, and who buys from it — that becomes the Ideal Customer Profile for this run.

The list that comes back holds real companies, each with four things you can act on: a fit score between 70 and 100, a three-part match reason in plain English, the industry, and the company's website and LinkedIn page. A row scoring 92 might read: same sector as the seed company; sells to the same buyer; comparable size and geography. You can disagree with it — that is the point of showing the reason rather than only a number.

Anything scoring below 70 is not returned at all. A shorter list you can defend beats a long list nobody trusts.

Why start from a domain instead of filters?

Filter-based prospecting asks you to already know the answer: pick an industry code, a headcount band, a technology, a country. Those fields describe a company's shape, not whether it needs what you sell, and two businesses with identical filters often have nothing in common commercially.

A website says what a company actually does, in its own words. Starting from a domain means the profile is derived from real evidence about a business you already know fits, so the matching works from meaning rather than from category boxes. It is also faster: one paste instead of an afternoon of filter tuning.

What are the limits of this approach?

Use a company's root homepage, not a sub-page — a pricing page or blog post describes a fragment of the business and produces a narrower profile than you want. Very new companies with thin websites give the analysis little to read, and holding companies that own unrelated businesses tend to produce mixed results.

We return companies, not individual people's email addresses or phone numbers. To reach the people at these companies you will pair this with a contact data tool. And each identified company costs 1 credit, deducted as it is saved, so a run's cost is always the number of companies you actually received.