ChatMaxima Glossary

The Glossary section of ChatMaxima is a dedicated space that provides definitions of technical terms and jargon used in the context of the platform. It is a useful resource for users who are new to the platform or unfamiliar with the technical language used in the field of conversational marketing.

Cohort analysis

Written by ChatMaxima Support | Updated on Jan 23

Cohort analysis is a powerful analytical technique used in marketing, business, and data analysis to track and compare the behavior and performance of specific groups of customers or users over time. This method provides valuable insights into customer retention, engagement, and the impact of business decisions on different cohorts.

Key components of cohort analysis include:

  1. Cohort Definition: Cohorts are typically defined based on a shared characteristic or experience, such as the month of acquisition, geographic location, or a specific behavior (e.g., first purchase, sign-up date).

  2. Behavior Tracking: Cohort analysis involves tracking and comparing the behavior and performance of different cohorts over time, such as retention rates, purchase frequency, average order value, or engagement metrics.

  3. Time-Based Comparison: Cohort analysis enables the comparison of cohorts over specific time periods, allowing businesses to identify trends, patterns, and changes in customer behavior.

  4. Insights and Decision-Making: The insights gained from cohort analysis can inform strategic decisions related to customer acquisition, retention strategies, product development, and marketing campaigns.

  5. Retention and Churn Analysis: Cohort analysis is particularly valuable for understanding customer retention and churn rates, as it allows businesses to track how different cohorts of customers evolve over time.

  6. Segmentation and Personalization: Cohort analysis can be used to segment customers based on their behavior and preferences, enabling personalized marketing and customer engagement strategies.

Cohort analysis provides businesses with actionable insights that can drive strategic decision-making, improve customer retention, and optimize marketing efforts. By understanding how different cohorts of customers behave and evolve over time, businesses can tailor their strategies to better meet the needs and preferences of specific customer segments.


In conclusion, cohort analysis is a valuable analytical technique that provides businesses with insights into customer behavior, retention, and the impact of business decisions over time. By leveraging cohort analysis, organizations can make informed decisions, optimize customer engagement, and drive business growth by tailoring strategies to the unique characteristics and behaviors of different customer cohorts.

Cohort analysis