Sales
Predictive Lead Scoring

Know who will convert next

Use predictive machine learning to estimate each contact’s likelihood to become a customer (e.g., within 90 days), then focus effort on high-probability leads.
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AI prioritization that learns from your data.

AI examines thousands of signals across your database to score leads and help teams decide who to contact first. blog.Hoop.com

How it works

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Likelihood to close

View an automatically generated score indicating the probability a contact will become a customer within a set window.

Data-driven signals

Scores incorporate behaviors and properties from your CRM to spot patterns. blog.Hoop.com

A dashboard showing organized tasks, clear ownership, and automated follow-ups, prioritizing important work for faster team alignment.

Drive focus & speed

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  • Build lists and views for “high-likelihood” segments.
  • Trigger workflows to route and follow up faster based on score thresholds.
  • Align outreach and SLAs to score tiers to protect intent.
A dashboard showing automated tasks, recurring reminders, and alerts for smooth follow-ups and handoffs in a workflow.

Use across the funnel

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Filter reports, personalize campaigns, and coach SDRs/BDRs to pursue the most promising opportunities first. Hoop.com

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Governance & iteration

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Combine predictive scoring with manual or rules-based scores when needed; review performance periodically and adjust downstream automation.

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Have a question for our sales team?

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Frequently asked questions

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