Your clients, decoded — then multiplied.

Every practice already owns its best targeting model: the client list. Most never read it. This service resolves your CRM export against the professional-profile graph, shows you who your converted clients actually are — fields, seniority, geography, career shape, evidence density — and then builds a ranked pool of people with the same shape who have never heard of you. Not a dataset off the shelf: a model built from your own base.

200+
rows — enough CRM to model
4,300+
records resolved precedent engagement
10,000
profile lookalike pool built from it
130+
fields per resolved profile

service · precedent engagement 2026-07 · MEASURED · Outricher data

TODAY
Your client list · names you already trust
Why they're likely clients. Your own CRM is the strongest signal source a practice owns: the people who already became cases share a measurable career shape — function mix, seniority bands, geography, evidence density. We decode that shape from your converted base and rank the lookalike pool by the same propensity signals, each row evidence-tagged for an attorney to qualify — a resemblance measure, never an eligibility verdict.
Who buys this · and why it comes first

Any practice or relocation firm with 200+ past clients in any exportable form — CRM, spreadsheet, case-management system. It is also the strongest first engagement with Outricher, because it prices itself: you see your own base decoded before buying any outreach data. If the decoded shape surprises you, the lookalike pool is where that surprise turns into pipeline.

The process · resolve, decode, multiply
01 · resolve

Flat rows become profiles

Your exported list — names, emails, whatever you have — is matched against the professional-profile graph. Typical resolution turns flat CRM rows into full profiles with career history, education and evidence tags, at 130+ fields per resolved record.

→ list in, profiles out
02 · decode

The converted-client shape

We profile who actually became a case: which functions, seniority bands, geographies and career patterns converted. In practice this shape is usually different from who the practice thinks its client is — and the gap is measured, not argued.

→ the shape, measured
03 · multiply

Shape becomes pool

The shape becomes a query; the query becomes a ranked lookalike pool — deduplicated against your existing base, delivered with verified contacts. People with the same career shape as your converted clients, who have never heard of you.

→ ranked pool, deduplicated
function mix seniority bands geography career shape evidence density what the practice assumed — checked against the measurement
The precedent · same mechanics, different vertical

A European health-products brand sent two CRM exports — 1,726 partner records and a customer list. We resolved 4,300+ records to full profiles, surfaced 89 partners hidden in their own customer base — people they were already talking to under the wrong label — and delivered a 10,000-profile lookalike pool ranked by fit. Same mechanics, different vertical: the method transfers to an immigration practice unchanged, because the input is any client list and the output is any client's shape.

What you receive · the deliverables
DeliverableWhat it is
Decoded-base reportWho your clients are, measured — function mix, seniority bands, geographies, career patterns, evidence density across your converted base.
Hidden-asset listPeople already sitting in your base who are worth a different conversation than the one they came in for.
Lookalike pool1,000–10,000 ranked profiles with the same shape as your converted clients, deduplicated against your existing base, verified contacts attached.
OptionalManaged outreach on the pool, or API access to re-run the model as your base grows.

Rows in the pool arrive ranked by propensity and evidence-tagged — your team, not the model, decides who becomes a case. AI outreach agents can draft the first touch straight from these fields — referenced to each person's actual career, so the mail lands with a real person, not a template.

Data handling · and the honesty boundary

Client lists are processed under a DPA. Your data is used only to build your model: it is never enriched into our graph, never resold, and the deliverables go only to you.

The honesty boundary

Lookalike similarity is career-shape similarity, not a legal profile. The pool inherits your base's shape — including its blind spots — and every row is ranked propensity, evidence-tagged, for your team to qualify. Nobody in the pool "qualifies" for anything until an attorney says so. Where your base is too small or too heterogeneous to model well, we say so before charging.

Decode your client base — then multiply it.

Send an export in any format; we confirm whether it models well before any commitment. Lookalike pool priced flat at $0.19–0.42 per contact; managed outreach and API delivery available.

Or just write — a consultation is free: we will map this cohort to your practice.

Outricher · Visa Talent Engine · service · precedent engagement 2026-07 · MEASURED · Outricher data