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Know who will convert next
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. </p>
Know who will convert next
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. </p>
Know who will convert next
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. </p>
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
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
Drive focus & speed
- 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.
Use across the funnel
Filter reports, personalize campaigns, and coach SDRs/BDRs to pursue the most promising opportunities first. Hoop.com
Governance & iteration
Combine predictive scoring with manual or rules-based scores when needed; review performance periodically and adjust downstream automation.
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