Propensity Model
Definition
A predictive model that scores accounts or leads based on their likelihood to take a specific action, such as buying, churning, or expanding.
Propensity models use machine learning to analyze historical patterns and predict future behavior. A propensity-to-buy model might weight factors like intent signals, firmographic fit, engagement level, and technographic compatibility. A propensity-to-churn model might incorporate product usage decline, support ticket escalation, and NPS scores. These models help GTM teams prioritize their finite time and resources on the accounts where they can have the most impact.
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FAQ
What does Propensity Model mean?
Propensity models use machine learning to analyze historical patterns and predict future behavior. A propensity-to-buy model might weight factors like intent signals, firmographic fit, engagement level, and technographic compatibility. A propensity-to-churn model might incorporate product usage decline, support ticket escalation, and NPS scores. These models help GTM teams prioritize their finite time and resources on the accounts where they can have the most impact.
What are the best Propensity Model tools?
Top tools related to Propensity Model: Tinybird, Hightouch, Mixpanel, Amplitude, ChartMogul.