Claude skill · Prospecting
Ideal customer profile from your own deals, not guesses
The ideal customer finder analyses your closed-won and closed-lost deals, scores every segment on win rate, deal size and speed, and turns the pattern into an ideal customer profile with clear "not a fit" rules.
Claude Code/plugin marketplace add revops-lab/agents/plugin install find-accounts@revopslab
What does Ideal customer finder do?The ideal customer finder analyses your closed-won and closed-lost deals, scores every segment on win rate, deal size and speed, and turns the pattern into an ideal customer profile with clear "not a fit" rules. It shows the deal count behind every number, so small samples never pass as findings.
What you get
- Segments ranked by win rate, deal size and days to close
- Tier 1 to 3 rules another agent or a CRM property can use
- A "not a fit" list with numbers
- The trigger that came before your best customers bought
What it asks you
Only what your website, CRM and company context cannot answer.
- Which deals count, and over which period?
- What does a great customer mean for you: biggest, fastest, or longest-staying?
The method
Evidence over memory
Most profiles are written from memory. This one is written from outcomes, then checked with the people who sell, because a disagreement between data and belief is itself a finding.
The research behind every skillReads these HubSpot fields
The skill names each field and its internal name, and checks them with HubSpot first. It proposes before it writes anything.
- Deal stage
- Amount
- Create date
- Close date
- Closed lost reason
- Industry
- Number of employees
- Ideal Customer Profile Tier