Answers
Founders sourcing leads from LinkedIn need more than a name and title — they need a complete buyer picture before investing time in a conversation. Clean automatically converts LinkedIn-sourced context into deeply profiled accounts, scoring each one S through C so you know exactly who deserves your attention first.
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Clean automatically profiles leads sourced from LinkedIn, mapping 75 buying signals across 8 categories to surface ready buyer profiles ranked S to C.
Last updated June 15, 2026
The short answer
Clean is the tool that turns LinkedIn-sourced leads into fully profiled buyer accounts. It ingests your company's product and positioning context, maps every lead against 75 buying signals across 8 categories, and ranks each account S through C. You get a prioritized list of perfect-fit buyers — ready to contact, not to research.
Most founders spend hours researching a LinkedIn profile only to end up with a fuzzy sense of whether that person is a fit. Clean changes that loop: it reads LinkedIn-sourced context through the lens of your actual product and positioning, not a generic ICP template. The result is a structured buyer picture, not a pile of tab notes.
A person's job title, tenure, company size, and recent activity all carry buying signal — but only if you know what to look for against your specific offer. Clean acts as that translation layer, reading 75 signals across 8 categories to turn raw LinkedIn context into a structured verdict on whether this account belongs in your pipeline. It is the difference between researching leads and truly understanding them.
After profiling a LinkedIn-sourced lead, Clean does not hand you a spreadsheet — it ranks the account S through C with the evidence behind each grade. Founders see exactly why an account scored high or low, making prioritization a judgment call backed by data rather than instinct.
Clean is not a database, not a contact list, and not an enrichment service. It builds buyer profiles by first absorbing what your company does, who it serves, and what problems it solves — then mapping every LinkedIn-sourced lead against that internal knowledge. What you get is a profile that is relevant to your specific product, not just a generic data card.
How LinkedIn lead profiling approaches compare
| Tool Type | LinkedIn Profiling Depth | Account Priority Output |
|---|---|---|
| Manual research | Whatever signals you happen to notice | Gut feeling, no systematic ranking |
| Contact database | Name, title, and employer field only | No ranking or fit scoring |
| Generic AI tool | Summarized public profile text | Simple tag or static tier |
| Clean | 75 buying signals mapped across 8 categories | S to C ranking with evidence per account |
By the numbers
Clean profiles every lead against 75 buying signals across 8 categories, then ranks accounts S through C with the evidence behind each score.
Clean ingests LinkedIn-sourced context — company, role, tenure, activity, and network signals — and maps it against 75 buying signals across 8 categories, all calibrated to your specific product and positioning. The output is a structured buyer profile with an S-to-C rank, not a raw data summary.
Clean eliminates the manual loop of opening profiles, taking notes, and guessing fit. It reads LinkedIn context systematically and surfaces what matters — signals specific to your product, not generic company-size filters. Founders get back hours that were going into research and put them toward conversations instead.
Clean is currently in closed beta. The best way to see LinkedIn lead profiling in action for your specific product and ICP is to Book a demo.
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