Claude skill · Prospecting
Lead scoring that predicts meetings, tested on your history
Lead scoring designer builds a two-part score, fit (should we ever sell to them?) and engagement (are they interested now?), weights it from your own past leads, tests it on last year’s data and writes the build sheet for HubSpot or your CRM, including the MQL threshold that matches what sales can handle.
Claude Code/plugin marketplace add revops-lab/agents/plugin install find-accounts@revopslab
What does Lead scoring designer do?Lead scoring designer builds a two-part score, fit (should we ever sell to them?) and engagement (are they interested now?), weights it from your own past leads, tests it on last year’s data and writes the build sheet for HubSpot or your CRM, including the MQL threshold that matches what sales can handle.
What you get
- Fit and engagement rules with points, negative points and decay
- A test showing conversion by score band
- An MQL threshold sized to sales capacity
- A build sheet for HubSpot lead scoring
What it asks you
Only what your website, CRM and company context cannot answer.
- What should a high score predict: a meeting, an opportunity or a won deal?
- How many leads a month can sales follow up properly?
The method
A score must predict something
Scores fail when they reward activity anyone can generate, like email opens. Weighting from your own outcomes and testing before launch turns the score into a ranking sales can trust.
The research behind it: Email opens are unreliableReads these HubSpot fields
The skill names each field and its internal name, and checks them with HubSpot first. It proposes before it writes anything.
- Job title
- Industry
- Number of employees
- Original traffic source
- Recent conversion
- Number of pageviews
- Recent sales email replied date
- Lifecycle stage