Predictive scoring

Machine-learning-based account or lead scoring using historical conversion patterns.

Where this term appears on Landbase

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Frequently asked questions

What does predictive scoring mean?
Machine-learning-based account or lead scoring using historical conversion patterns.
Why does predictive scoring matter for B2B revenue teams?
Predictive scoring sits upstream of pipeline decisions. Teams that get it right route SDR time toward the right accounts, message buyers in the right window, and forecast revenue with higher confidence. Teams that ignore it spray and pray, miss the buying window, and forecast on intuition.
How is predictive scoring used in practice?
Modern revenue teams operationalize predictive scoring by ingesting it into the CRM, scoring it against the ICP, and triggering downstream outreach when defined thresholds are crossed. The signal is the trigger; the action belongs to the SDR or AE working that account.
How is predictive scoring different from adjacent 95d1e9d27c2f1555476a6d6ea0e3cad4 concepts?
Predictive scoring is one specific surface inside the broader 95d1e9d27c2f1555476a6d6ea0e3cad4 stack. It pairs with adjacent concepts (firmographic fit, intent, scoring, sequencing) but has a distinct operational definition and a specific moment in the buying journey where it applies.
How does Landbase apply predictive scoring?
Landbase treats predictive scoring as a first-class signal inside its GTM infrastructure. It is exposed through the Landbase CLI and API so RevOps engineers and GTM teams can build automated, signal-based motions on top of it instead of waiting for a monthly export.