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Who we serve — B2B GTM & ABM teams

The same engine, pointed at your ICP instead of an acquisition thesis

Not every buyer of full-web screening is buying companies.

GTM and ABM teams use the identical machinery — 100M+ classified domains, LLM qualification against plain-language criteria — to answer the question every account-based motion quietly skips: what is the actual, complete list of accounts that match our ICP?

100M+
classified domains
24.7M
business & finance sites
300+
organisations served

The enumeration problem under every ABM motion

Account-based marketing presumes you know the accounts. For long-tail B2B the gap between what vendor indexes cover and what actually exists is routinely the larger half.

The indexed-market trap

Target lists come from a vendor’s index filtered by firmographics, topped up with lookalikes, capped at what the crawler profiled. The resulting “TAM” is not the total addressable market — it is the indexed addressable market.

Real ICPs are not firmographic

Profiles that predict conversion sound like: manufacturers with in-house service teams, distributors that publish pricing, operators with multi-branch footprints. These are behavioral criteria — visible on websites, absent from every firmographic schema.

Downstream math inherits every gap

Sales capacity prices against inflated account counts. Intent platforms sample from the same capped universe. Territory and quota math builds on a denominator nobody audited.

The uncontested long tail

Competitors working the same vendor exports crowd the identical accounts while the unindexed long tail — where reply rates are highest because nobody writes to it — stays empty.

The upstream truth: enumeration is unglamorous, which is why it is systematically skipped. No GTM instrument outperforms the universe it points at.

How acquisition-grade screening translates to GTM

Swap “thesis” for “ideal customer profile” and nothing else changes. The same engine — 100M+ classified domains, two-pass LLM qualification — delivers an activated account universe.

Full-web starting pool

100M+ classified domains covering 99.99%+ of active internet usage. 24.7M business & finance sites organized into 700+ categories. No vendor-index ceiling.

Two-pass qualification

Triage separates live operating companies from directories, parked domains, and noise. Deep extraction then qualifies every survivor against your ICP with evidence quoted per criterion.

Activated universe

Every matching company carries the qualifying evidence — the sentence about the in-house service team, the marketplace integration, the booking engine — so SDRs open with the reason the account qualified.

Reference engagements

Global ICP mapping for a leading airline-metasearch platform, plus enterprise deployments including one of the largest European telecom operators.

Deeper reading

ICP discovery · TAM mapping · Custom taxonomy

From ICP articulation to working pipeline

1

ICP articulation

Your profile in plain language, as if briefing a careful analyst — including the visible markers that qualify or disqualify. If a criterion is not website-visible, we say so now, not after the invoice.

2

Web-scale screen

Category sweep, triage, LLM qualification of every candidate against the profile. Millions of domains in; the complete matching universe out, with evidence per account.

3

Segmentation & sizing

The universe cut by the dimensions your motion needs — segment counts for capacity planning, tiers for coverage models, the honest denominator for the board’s TAM question.

4

Activation & refresh

CRM-ready delivery, deduplicated against your existing accounts. Re-runs with a refined ICP included; scheduled refreshes keep the universe live as the market churns.

The diff is the proof. Dedupe against your current account list reveals covered, missing, and misclassified accounts — with evidence. The gap analysis runs as a standalone first engagement at proof-project cost.

The signal framework, read as a GTM instrument

The fifteen signals were designed for acquisition screening; five of them turn out to be a segmentation engine.

Strategic fit to thesis

Renamed for this buyer: ICP fit. Your profile text is the scoring instrument, every qualified account carries the sentences that qualified it, and SDR openers quote the evidence instead of the weather.

Digital-commercial maturity

Online quoting, portals, e-commerce, published pricing — for product-led motions this is the primary segmentation axis; for services it flags who is ready to buy the way you sell. No firmographic field carries it; websites state it plainly.

Vertical specialization & documented end-market exposure

Who the account’s own customers are, evidenced from case studies and named end markets. Sell into companies that serve manufacturers, municipalities, or logistics? That is a demand-side ICP criterion — verticalized GTM teams use this signal as the census question itself.

Partner & channel ecosystem position

Named partnerships, integrations, distributorships, association memberships — the account’s position in its ecosystem. Practical uses: finding accounts already adjacent to your category (the warmest cold accounts), mapping competitor-locked segments, and sizing partner-sourced routes to market against direct ones.

Hiring posture & functional investment

Open roles and their types as a growth and maturity read — cheap, current, website-visible, and a far better prioritization nudge than firmographic staleness. Paired with activity trajectory, it separates the growing from the merely listed.

A worked example, GTM-shaped

A vertical-software team selling to independent industrial service operators. The acquisition side of this site censuses exactly that population — so the numbers are real.

367K
domains in category
17,300
live US companies
93–702
per subvertical

Hidden fits = uncontested pipeline

A fifth or more of confirmed matches lacked the category’s obvious homepage keywords — accounts your competitors’ keyword-filtered lists structurally cannot contain. This is where outbound reply rates live.

Exclusions protect deliverability

About one in ten keyword-perfect candidates was a subsidiary or group location rather than an independent decision-making account — rows that quietly poison personalization and forecast math on bought lists.

Strange ICPs welcome

If your ICP is defined by monetization model, tech markers, or content behavior rather than an industry, the same engine classifies the web into your custom scheme.

The next two quarters of pipeline came disproportionately from the untouched cohort. The team’s retro called it the cheapest pipeline experiment of the year — which is roughly what a corrected denominator should cost.

What a real denominator changes downstream

A corrected universe resets every downstream number. Three domains shift immediately.

Capacity planning

Sales headcount models divide account universes by coverage ratios. When the universe is inflated by unqualifiable accounts and holed by missing segments, quota feasibility, ramp math, and the hiring plan all inherit the error. An enumerated census resets the arithmetic.

Territory & tiering

Carving territories over a bad universe manufactures grievance — reps can tell when their patch is padded with subsidiaries. Real segment counts support carves that survive scrutiny and tier assignments that reflect evidenced fit rather than employee-band folklore.

Measurement

Penetration, win rate by segment, marketing coverage — every ratio needs a denominator. With the census as a dimension table, whitespace becomes a queryable set and the quarterly refresh turns market motion itself into a tracked metric.

The gap: most GTM dashboards quietly use the CRM’s account count, which measures data entry, not the market. That is the difference between a GTM strategy and a GTM narrative.

Pricing against a martech line item

Project pricing for a durable asset — not per-seat, per-credit, or per-enrichment that scales with usage and renews forever.

€4,900
Proof project
One ICP to specimen depth — or gap analysis against your current lists
€9,900
Full universe
Complete profile-matching population with deep segmentation, re-runs included
€18,000
Annual monitoring
Quarterly refresh — new entrants, churned accounts, changed qualification status
A universe is not a contact database — we enumerate and qualify companies with evidence. Most clients keep their enrichment and intent tools and fix the layer underneath them. Full pricing →

Fit and non-fit, for a GTM buyer

Stated plainly so you can decide before the first call.

Strong fit

  • B2B motions whose ICP is visible on company websites — vertical software, industrial services, fintech, marketplaces
  • Partner programs recruiting channel
  • Market sizing that will face board scrutiny
  • Territory design and capacity planning
  • The TAM slide that deserves a census under it

Weak fit

  • Consumer audiences — the engine enumerates companies, not people
  • Purely contact-level needs — we are upstream of enrichment
  • Intent timing — we tell you who qualifies, not who is in-market this quarter
  • Criteria invisible on the web — headcount by department, tech stack behind firewalls, budget cycles
What we refuse to sell: no “ready to sell” flags, no revenue or EBITDA guesses, no owner-age profiling, no distress detection — and no engagements in consumer-captive verticals. Read our standards; serious buyers tell us this page is why they trusted the rest.

Questions GTM teams ask

Starting pool and screening language. Vendor TAM tools filter their own index by firmographics; we start from 100M+ classified domains — effectively the active web — and qualify against your ICP as written prose, criteria no firmographic schema carries. The practical difference shows in the diff: run the gap analysis on your live ICP and count what the index missed.

No — deliverables are company-level: qualified accounts with evidence, segments, and sizing. Contact enrichment stays with your existing providers, which all work better when pointed at accounts that genuinely match the profile. Keeping the layers separate is deliberate; it is also why our data practices stay clean enough for enterprise procurement to approve quickly.

It is the ideal case. Weird ICPs — monetization models, operational markers, content behaviors — are exactly what keyword filters cannot express and LLM screening reads natively. The one boundary is visibility: if a human analyst could not qualify the account from its website, neither can the pipeline, and we will tell you which criteria fall on which side before anything is spent.

The screen reads live sites at run time, so the universe is current as of delivery. Markets churn — new entrants, closures, pivots, acquisitions — which is what the refresh cadence is for: scheduled re-screens deliver structured deltas, including accounts whose qualification status changed. Between refreshes, treat the universe like any asset with a decay curve; unlike a bought list, this one can be re-run.

Yes — deliverables are structured files with stable keys, built for ingestion into a warehouse as readily as a CRM. Teams model coverage, penetration, and segment performance against the census as a dimension table, which is where the enumeration work pays off longest: every downstream metric finally has a real denominator.

Either side, cleanly. Agencies commission universes on behalf of clients — the deliverable is unbranded and structured, so it slots into an agency’s ABM builds without vendor noise — and in-house teams commission directly and hand segments to their agencies for execution. The one recommendation we hold firmly: the ICP articulation session should include whoever owns revenue truth, not only whoever owns campaigns, because the criteria conversation is where the real profile surfaces and the enumerated universe will quietly audit everyone’s assumptions about it.

Enumerate your ICP against the entire web

One email starts it: describe the profile, get a specimen-grade sample of the qualified universe with evidence per account. Then size the whole thing.

Request the specimen report