Cohort analysis

Grouping customers or prospects by a shared attribute to compare behavior over time.

Where this term appears on Landbase

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Frequently asked questions

What does cohort analysis mean?
Grouping customers or prospects by a shared attribute to compare behavior over time.
Why does cohort analysis matter for B2B revenue teams?
Cohort analysis 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 cohort analysis used in practice?
Modern revenue teams operationalize cohort analysis 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 cohort analysis different from adjacent 0a0c000c7064c40b79b9c3b9d456635b concepts?
Cohort analysis is one specific surface inside the broader 0a0c000c7064c40b79b9c3b9d456635b 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 cohort analysis?
Landbase treats cohort analysis 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.