The Platform

    A workflow, not a tool. Built around your qualification bar.

    Domain Enrich isn't a database you query or a UI you learn. It's a qualification engine that runs between "we need pipeline" and "here are the accounts worth pursuing." The engine adapts to your segment, your sources, and your definition of fit - and hands your team pre-contact SQLs on the other side.

    Two ways we find your buyers

    Every engagement starts in one of two modes - or both. The mode determines how we source the candidate set before qualification even begins.

    Signal-led discovery

    You know what a buying signal looks like - a hiring pattern, a funding event, a stack change, a regulatory shift. We watch for it across the sources that matter, and qualify the accounts that trip it.

    Example: SaaS teams hiring their first 'AI Engineer' in Series B companies with ≥ 100 employees.

    Segment-led discovery

    You know the segment cold - the industry, the geography, the size band. We map who exists in it, cluster them by fit, and surface the pockets worth pursuing first.

    Example: Independent MSPs in Ontario with 20–75 employees, serving mid-market manufacturers.

    The adaptive loop

    Same seven moves on every engagement - the mix and depth shift with the scope.

    1. 01

      Understand the ask

      What does a real opportunity look like for your team? What would you walk away from?

    2. 02

      Choose sources

      Which corners of the internet, filings, hiring data, and public signals actually matter for your segment.

    3. 03

      Build the candidate set

      Signal-led, segment-led, or both. This is the pool - not yet the answer.

    4. 04

      Enrich against your model

      Only the fields your qualification model needs. No 90-column CSVs full of nothing.

    5. 05

      Qualify with evidence

      Every account is scored. Every score is backed by evidence, inference, and (where relevant) caveats.

    6. 06

      Identify the decision-maker

      Who signs, who blocks, who champions. And how to reach each layer.

    7. 07

      Deliver + feedback

      In the shape you need. Your reject / accept feedback tunes the next batch.

    Five qualification models

    Most engagements use one or a blend. Which one fits comes out of the discovery call.

    Firmographic fit

    Industry, size, geography, structure, ownership - the classical filters, applied with actual research instead of a checkbox database.

    Technographic fit

    What they run today, what they've moved off, what they're likely to buy next. Inferred from public evidence, not vendor lists.

    Behavioural / event-driven

    Hiring, funding, product launches, filings, leadership changes - trigger events that make now the right moment.

    Relationship-based

    Who they already work with, who they compete with, who they've partnered with - the network you can move through.

    Bespoke ICP model

    Your own logic, written down and applied consistently. When the four above don't quite fit.

    Delivered in the shape that fits your motion

    Some teams want a brief per account. Some want a CSV that drops into their sequencer. Some want a written report their leadership can act on. The qualification bar doesn't change - the container does.

    Where it plugs in

    Domain Enrich isn't trying to replace your CRM, your sequencer, or your calendar. It sits one step upstream and hands them a better input.

    Your CRM

    HubSpot, Salesforce, Pipedrive, Attio, Close, Folk - or a CSV if that's simpler.

    Your sequencer

    Outreach, Salesloft, Instantly, Smartlead - accounts arrive scored and briefed.

    Your ops layer

    Slack, shared docs, or a light dashboard - whatever your team actually opens.

    Ready to see pre-contact SQLs on your accounts?

    Book a discovery call and we'll scope your first delivery in writing - then let Pre-Contact SQL Delivery deliver a steady feed of qualified leads to your team.