Score whether an account is a real ICP fit.

“Is this account actually a real fit for us, or just one a scoring tool likes?”

Rolls firmographics, product usage, hiring intent, and tech stack into one 0-100 verdict, and flags where a scoring tool is wrong.

FIND MORE PIPELINEINTERMEDIATECRM✓ APPROVED 4/4
EXAMPLE PROMPTS
>Is this account a real ICP fit? Here is what I know about them [pastes account details]
>Score this list against our profile and show which source drove each score
>Find lookalikes to our best customers and tell me where the scoring tool is wrong
ABOUT THIS SKILL

What this skill does

Takes an account, or a whole list, and tells you whether it actually fits your ideal customer profile. It rolls every signal you have, firmographics, product usage, hiring intent, tech stack, into one 0-100 score, shows you which source drove it, and flags the accounts where a scoring tool is plain wrong. Then it tags each verdict with the channel it belongs to, so the play is obvious.

Inputs

  • Works today with: a list of accounts, with domain, employee count, industry, and any signal you know (funding stage, hiring, tools they use). Paste it or upload a CSV.
  • More powerful connected to a CRM: it reads firmographics and any existing scores automatically across your book.
  • Sharper with an account fit score or scoring vendor: it folds that score in as one input and tells you when to trust it.
  • Sharper with a product-analytics tool: it adds a product-side fit signal from real usage.
  • Sharper with an enrichment tool: it confirms employee count, hiring, and technographic stack.

How it works

  1. 1
    Composite fit score (0-100)

    One headline number, built from weighted inputs. A starting split that you re-tune:

    • 35% account fit: employees, industry, funding stage, region.
    • 25% product-side signal: real usage or a product-engagement score, if connected.
    • 20% hiring and intent: recent hiring, funding, growth signals.
    • 15% tech-stack displacement: accounts running tools you replace are switch candidates.
    • 5% qualification completeness: a bonus if a rep has already done the homework.

    Penalties subtract from the total: too small or off-profile, an already-saturated customer, recently churned inside a cooling-off window, or already worked by another rep (avoid the double-tap).

  2. 2
    Source breakdown, never a single number

    Every score shows its parts. If a source is missing, the skill says so ("no product-analytics connected, score is from fit, hiring, and stack only") instead of hiding the gap.

  3. 3
    Override detection

    When the composite disagrees with a scoring tool, it says so out loud. An account a tool scored low while hiring 14 reps and running a stack you displace is a false negative the tool missed. An account a tool scored high with none of the real signals is a false positive. Both get flagged with the reason.

  4. 4
    Channel classification

    Every verdict is tagged Inbound (they came to you), Product (they self-served a signup), or Outbound (you go to them). The play and the outreach differ by channel, so the tag ships with the score.

  5. 5
    Lookalike search

    Anchor on your highest-value customers and find accounts matching their profile, employee count, industry, funding stage, and technographic stack.

Output format

ACME CORP · Fit Score 87 / 100 · STRONG FIT

Source breakdown:
  Account fit score:        78 / 100  (strong, approved)
  Product-side signal:      real usage detected
  Enrichment:               805 employees, 22 reps, 14 hiring
  Tech-stack displacement:  3 tools you replace
  Qualification:            complete, homework done
  Channel:                  Outbound + Product (hybrid)

Signals:
  Account fit: SaaS, 500+ employees, late stage, target region
  Hiring 14 reps is a top-of-funnel scream
  3-tool consolidation is a strong messaging hook
  A rep has already qualified it

Verdict: STRONG FIT. Pursue with full outbound. The hybrid channel means a
cold sequence into the usual entry role, plus a watch for any signup from
this domain that would trigger an inbound handoff.

Override: none. The fit score and the composite agree.

Tips

  • No single-source fit claim. The breakdown by source ships with every score, and missing sources are declared.
  • Override visibility. When the composite disagrees with a scoring tool, it says so and names why.
  • Channel-tagged outputs. Every verdict carries Inbound, Product, or Outbound, because the play changes with the channel.
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