LeadFlow AI Docs
Use profiles and scoring to classify leads more intelligently
AI profiles and scoring help LeadFlow AI decide how to interpret lead context, evaluate interest level, and support better prioritization and routing.
Scoring
What scoring is for
Scoring helps separate stronger signals from weaker ones. A good score should help you prioritize attention, not pretend to be the final truth about a lead.
Profiles
What AI profiles do
- Define the context for a lead type or business scenario
- Shape how the AI interprets incoming lead data
- Support more consistent qualification behavior
- Align scoring logic with a specific use case
- Help different workflows behave differently when needed
Best Practice
Score for action, not for vanity
The best scoring systems help your team decide what to do next. They should support prioritization, routing, or follow-up — not just create a number that looks useful but changes nothing.
How To Improve Results
- Start with one profile for one clear use case
- Keep scoring criteria understandable
- Review real leads and compare score vs. business value
- Tune prompts or criteria gradually
- Use routing rules only after score quality becomes reliable
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