Cohort Analysis
Grouping customers by when they were acquired and tracking each group over time, instead of trusting a single blended average.
Definition
Cohort analysis segments customers by a shared starting point, usually acquisition month or quarter, then measures retention, revenue, and churn for each group across its lifetime. It exposes trends that company-wide averages hide, such as a recent cohort churning faster than older ones. It is the most reliable basis for LTV, retention, and payback calculations.
Why it matters
Company-wide averages lie. A blended retention number can look stable while every new cohort quietly degrades. Cohort analysis is how you catch a deteriorating funnel before it shows up in the aggregate, which is usually two or three quarters too late to fix cheaply.
Where Sophizo applies this
Sophizo deploys Cohort Analysis inside revenue and AI engagements with growth-stage operators and PE-backed portfolios.
See RevOps →Related terms in RevOps & GTM
From vocabulary to outcomes
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Knowing the term is step one. Deploying it inside a revenue architecture that compounds is what Sophizo builds.
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