GetAff starts from public registers, spots the organisations already showing signs of monetisation, and hands them back ranked, explained and ready to approach — each one with its source attached.
What you get
Three steps, in the order partner prospecting actually happens.
Collection starts from open, documented sources: the SIRENE and RNA registers in France, the Companies House register in the United Kingdom. 10 markets are catalogued and each one states its real coverage — a country with no usable register says so, rather than returning an empty list.
Open the pools →The ranking combines audience, topical and geographic proximity to your program, the monetisation signals already visible, and how reachable the contact is. The computation is deterministic, every record shows the reasons for its place, and the weights are published as dated starting hypotheses.
Discover acquisition →Five statuses carry each lead from “new” to “accepted”. Records that are set aside stay on screen with their reason and with the approach that does remain open. 20 levers document the execution, pool by pool.
See the levers →The database
Coverage is declared market by market: register wired, source identified, or no usable register at all. The screen says so before you start looking.
Traceability
A record carries its originating connector, the public URL of its source, the disclosure sentence shown to the person, its collection date, its legal basis and its retention horizon. The suppression list applies before any list is generated. And the professions whose code of conduct governs paid introductions are presented separately, together with the approach that stays open: a discount to the end client, co-marketing, or fees.
Discover monetisation →
Where you stand
The queue is built for a program: its markets, its language and its remuneration model decide the ranking. Two minutes is enough to publish yours and get your score.
Before you start
In public, documented sources: the SIRENE and RNA registers in France, the Companies House register in the United Kingdom. 10 markets are catalogued and each states its coverage; the 2 registers wired today are the ones whose licence explicitly allows reuse.
On four dimensions: audience, topical and geographic proximity to your program, the monetisation signals already visible, and how reachable the contact is. The computation is deterministic and every record shows the reasons for its place. The weights are published as dated, revisable starting hypotheses — they are there to be argued with.
They are shown separately, with the reason. A chartered accountant, a lawyer or an ORIAS-registered intermediary cannot take a personal referral commission; the approach stays open if its object changes — a discount to the end client, co-marketing, training fees. The screen explains that rather than making the record vanish.
Its identity, its pool, its country and the coverage of the matching register, its contact channel, its status, its score and rationale, then its full provenance: connector, source URL, disclosure sentence, collection date, legal basis and retention end date. The columns are fixed, and the suppression list applies before generation.
Publish your program: the queue builds on your markets, your language and your model.