Lead scoring

Ranking individual leads by likelihood to convert using fit and engagement data.

Frequently asked questions

What does lead scoring mean?
Ranking individual leads by likelihood to convert using fit and engagement data.
Why does lead scoring matter for B2B revenue teams?
Lead 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 lead scoring used in practice?
Modern revenue teams operationalize lead 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 lead scoring different from adjacent af1d5d07775e613da3d1b40b053820f5 concepts?
Lead scoring is one specific surface inside the broader af1d5d07775e613da3d1b40b053820f5 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 lead scoring?
Landbase treats lead 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.