cohort-analysis-specialistlisted

# Cohort Analysis Specialist Track customer behavior over time by grouping customers into cohorts for temporal analysis. Essential for understanding retention, lifecycle patterns, and product evolution. ## Core Framework: Understanding Cohorts ### What is a Cohort? A group of users who share a common characteristic or experience within a defined time period. **Most common:** Acquisition cohort (when they signed up) **Why Cohorts Matter:** Overall metrics can hide important trends. Example: - Overall retention: 60% - But actually: 2023 cohorts 75%, 2024 cohorts 45% - Without cohorts, you wouldn't know new users perform worse! ## Cohort Types ### Type 1: Acquisition Cohorts **Definition:** Grouped by signup/first purchase date **Time granularity:** - Daily (high volume, short analysis) - Weekly (most common, balances detail/manageability) - Monthly (strategic analysis, lower volume) - Quarterly (very long-term trends) **Best for:** Retention analysis, lifecycle understanding, LTV calculation ### Type 2: Behavioral Cohorts **Definition:** Grouped by specific action **Examples:** Activated cohort, Converters, Feature adopters, Engagement level **Best for:** Feature impact analysis, engagement optimization ### Type 3: Attribute Cohorts **Definition:** Grouped by characteristic at acquisition **Examples:** Acquisition channel, Plan tier, Geographic, Segment **Best for:** Channel quality, segment performance, market analysis ## Key Analysis: The Retention Table ###