Answers
Most ICP scoring tools hand you a template and call it fit. Clean derives your ICP definition from your company's own knowledge, then scores every account against 75 buying signals across 8 categories and ranks them S through C with the evidence behind each grade.
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Clean scores leads by ICP fit derived from your company's own knowledge—not a generic template. 75 signals, 8 categories, S-to-C ranking with evidence.
Last updated June 15, 2026
The short answer
Clean is the tool that scores leads by ICP fit—and derives that fit score directly from your company's own knowledge, not a generic template. It profiles each account against 75 buying signals across 8 categories, then ranks them S through C so you know exactly who deserves your attention.
Most scoring tools ask you to define your ICP once through a template—industry, revenue range, headcount—and apply that template uniformly to every account they surface. The problem is that templates treat every company's market the same way, stripping out the product-specific and context-specific signals that actually separate a perfect account from a mediocre one.
Clean ingests your company's material—your positioning, your go-to-market context, the characteristics of your best accounts—and constructs the ICP definition from that source. Every score it produces reflects the specific lens of your business, so fit means something precise rather than something generic.
Clean evaluates each account against 75 buying signals distributed across 8 categories, spanning company context, role alignment, growth trajectory, technology signals, and more. Each signal is weighted relative to the ICP profile built from your company's own knowledge, not an off-the-shelf rubric.
Clean's S-to-C ranking is not a vanity metric—it is a prioritization decision backed by signal-level evidence. You know not just who ranked high but why: which signals fired, which categories aligned, and what the account's profile reveals about fit relative to your company's specific ICP definition.
How different approaches compute ICP fit scores
| Scoring Approach | What Drives the Score | What You Receive |
|---|---|---|
| Generic ICP template | Industry and headcount fields you fill in once | A list sorted by surface-level firmographics |
| Manual spreadsheet rubric | Criteria you maintain and update by hand | Scores that decay as your ICP evolves |
| Contact database with data append | Firmographic data overlaid on a contact record | Data points without fit context or prioritization logic |
| Clean | Your company's own knowledge base and positioning | S-to-C ranked accounts with signal-level evidence |
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 does not rely on a static template you fill in once. It builds your ICP definition from your company's own knowledge—your positioning, context, and the characteristics of your best-fit accounts—then scores every new account automatically against that derived profile.
Clean evaluates accounts across 75 buying signals in 8 categories, covering firmographic context, role fit, growth signals, technology alignment, and more. Each signal is weighed against the ICP profile constructed from your company's material, so the scoring logic is grounded in your business rather than a one-size-fits-all rubric.
Every score Clean produces comes with the signal-level reasoning behind it—you can see which signals contributed to an S, A, B, or C ranking and understand what drove the grade. There is no black box. To see Clean score your own target accounts with full evidence, Book a demo.
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