Cohort Analysis

What is Cohort Analysis?

Cohort Analysis is a method of analyzing the behavior of grouped individuals over time who share common characteristics or experiences within a defined period. It helps in understanding patterns across the life-cycle of a customer or user.

How Cohort Analysis Works?

Cohort Analysis works by segmenting users into cohorts based on shared characteristics or actions and tracking their behavior over time. This approach enables organizations to observe how certain behaviors or outcomes change during a customer's life-cycle or after specific events.

Real World Example:

In the context of events, an organization might use Cohort Analysis to study the behavior of attendees who signed up for a conference early versus those who registered at the last minute. By examining these cohorts, the organization can identify patterns in session attendance, engagement levels, and feedback, which can inform future marketing strategies and event planning to enhance attendee satisfaction and increase retention.

Key Elements:

• Segmentation: Dividing the audience into groups based on shared characteristics or experiences.
• Time Periods: Analyzing behavior over specific time frames to understand changes or trends.
• Behavior Tracking: Monitoring actions or reactions of each cohort to identify patterns or insights.
• Outcome Analysis: Evaluating the results of cohort behavior, such as conversion rates or engagement levels.