Behavioral cohorting is the process of grouping users based on specific behaviors or interactions they have with a product or service. This approach allows businesses to tailor their strategies to different user segments, enhancing the effectiveness of their marketing and engagement efforts.

Retention rate is a key metric in cohort analysis, measuring the percentage of users who continue to engage with a product or service over time. Engagement metrics, such as the frequency and duration of user interactions, help businesses gauge the overall success of their initiatives and identify areas for improvement.

Lifetime Value (LTV) is an important metric that estimates the total revenue a business can expect from a customer throughout their relationship. Customer journey mapping complements cohort analysis by visualizing the different stages a customer goes through, from awareness to purchase and beyond. This helps businesses understand how various touchpoints influence LTV.

Churn rate, the percentage of users who stop using a product or service within a given period, is a critical factor in cohort analysis. By segmenting customers based on their behaviors and characteristics, businesses can identify at-risk cohorts and implement strategies to reduce churn.

Acquisition cohorts are groups of users segmented based on when they were acquired, such as the month they signed up. Analyzing these cohorts helps businesses understand the effectiveness of their acquisition strategies. The conversion funnel, which tracks the stages users go through before making a purchase, is also crucial in cohort analysis. It allows businesses to identify bottlenecks and optimize the user journey to improve conversion rates.