Know which leads to call before you call them
AI ranks every lead by fit and real-time engagement, so your team works the ones most likely to close instead of guessing from a spreadsheet.
How it works
Sales reps waste half their day chasing leads that were never going to buy while genuinely hot prospects go cold in the queue. Manual point-based scoring ages badly and nobody maintains it. Leadify's Lead Scoring AI reads engagement and fit signals from your live CRM and reranks every lead automatically, so the list your reps open each morning is already sorted by who is most ready to close.
Fit plus behavior, weighted by AI
Scores combine who a lead is with what they actually do, and the model learns which signals really predict revenue.
- Firmographic and demographic fit signals
- Real-time engagement across email, web, and product
- Model learns from your closed-won history
- No manual point tables to maintain
Always up to date
Scores recalculate the moment a lead's behavior changes, not overnight in a batch job.
- Live rescoring as engagement happens
- Score decay when leads go quiet
- Threshold alerts for sales-ready spikes
- Full history of why a score moved
Routes and triggers instantly
Hot leads flow straight to the right rep and into the right workflow without a handoff meeting.
- Auto-assign by score, territory, or segment
- Trigger sequences when a lead crosses a threshold
- Sync scores to sales dashboards in real time
- Explainable score breakdown on every record
Where teams use it
Built for real revenue work.
Prioritize the daily call list
Reps open a list already ranked by likelihood to close, so the first hour of the day goes to the best opportunities.
Catch buying-intent spikes
When a quiet lead suddenly revisits pricing or opens three emails, the score jumps and sales gets pinged while intent is fresh.
Clean up marketing handoff
Only genuinely qualified MQLs cross to sales, ending the tug-of-war over lead quality between the two teams.
“We stopped arguing about lead quality the week we turned it on. Reps trust the ranking because they can see exactly why each lead scored the way it did.”
FAQ
Questions, answered.
How is AI lead scoring better than manual point-based rules?
Rule-based scoring is a guess frozen in time, and it gets stale the day you build it. Leadify's AI learns from your actual closed deals which signals predict revenue, then reweights continuously. You get accuracy that improves on its own instead of a spreadsheet nobody wants to update.
What signals does the model use?
It blends fit signals like company size, industry, and role with behavioral signals like email engagement, site visits, content downloads, and product activity, over 40 in all. Because it runs on your live CRM data, no extra tracking setup or CDP is required.
Can reps see why a lead got its score?
Yes. Every record shows a plain-language breakdown of the top factors driving its score and how it changed over time. That transparency is why sales teams actually trust and act on the rankings.
How is this different from HubSpot or SalesWings scoring?
Those are either rules-heavy add-ons or separate tools you plug in and pay per seat for. Leadify scoring is native to your all-in-one CRM, runs on the data already there, and routes hot leads into workflows without any integration to maintain.
Keep exploring
More from the Leadify platform.
Stop guessing which leads are hot.
Let AI rank your pipeline by likelihood to close, starting with your existing CRM data.