Score fit separately
Fit keeps the model grounded in the buyers and accounts your product can actually serve.
Free lead qualification tool
A lead scoring template turns fit, intent, engagement, and disqualification signals into a consistent priority score. Use this generator to create a practical model for routing sales-ready prospects, nurture leads, and low-fit contacts.
Score preview
Tune fit, intent, behavior, and negative signals.
Score, threshold, routing, and copy-ready scoring criteria.
Route to sales or founder follow-up within one business day.
Send a direct note about how lifecycle email automation helps AI SaaS founders with an onboarding gap reach the stated goal.
11-50 employees is scored against the best-fit market for lifecycle email automation.
Founder or CEO indicates how directly the lead can evaluate or sponsor the purchase.
This month shows purchase urgency for AI SaaS founders with an onboarding gap.
The lead mentioned budget or willingness to pay.
No competitor or replacement signal yet.
High recent engagement across site, product, or lifecycle emails.
2 pricing visits captured, capped at 16 points.
3 lifecycle email clicks captured, capped at 12 points.
The lead completed a meaningful activation or evaluation action.
No personal-email penalty applied.
A business need is present or still being qualified.
Sales-ready. Alert the owner and personalize follow-up.
Marketing-qualified. Continue conversion nurture and qualify one gap.
Nurture. Educate before asking for a meeting or trial conversion.
Low priority. Suppress sales alerts until stronger fit or intent appears.
Fit keeps the model grounded in the buyers and accounts your product can actually serve.
Pricing visits, email clicks, and key product actions should move the score when a lead becomes active.
A good template does not just produce a number. It tells the team what to do next.
A lead scoring template is a repeatable model that assigns points to fit, intent, engagement, and negative signals so teams can prioritize prospects consistently.
A practical model includes ICP fit, role authority, company size, buying timeline, product engagement, pricing interest, email engagement, disqualifiers, and action thresholds.
Many teams treat leads above 80 out of 100 as sales-ready, but the exact threshold should be adjusted after comparing scores against qualified opportunities.
Lead scores should update whenever important fit or behavior data changes, especially after pricing visits, product activation, email clicks, form submissions, or inactivity.
DripAgent helps AI-built SaaS teams convert lead behavior into review-ready onboarding, activation, conversion, retention, and reactivation email sequences.