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Identify User Patterns, Monitor Behavior with Cohort Analysis

Gain actionable insights into user behavior to enable data-driven decision-making and optimize strategies for particular user groups. Trusted by Leaders.

Trusted by Leaders

  • aktif-bank
  • bkt
  • stellantis
  • budget

What is Cohort?

A cohort is a group of people who share a common experience or characteristic within a defined period. Cohort analysis involves studying these groups over time to identify patterns and changes in behavior.

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What is a Customer Cohort?

A customer cohort refers to a segment of customers grouped based on a shared characteristic or experience, such as the month they signed up for a service. Analyzing these cohorts helps businesses understand how customer behavior evolves.

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Why Should You Use Cohort Analysis?

Cohort analysis is crucial because it allows businesses to:

  • Monitor cohort performance.

  • Identify successful cohorts.

  • Determine the variables that contributed to success.

  • Understand customer behavior and user retention.

Benefits of Customer Cohort Analysis

  • Assess customer retention rates: Track how well customers are retained over time.

  • Analyze adoption patterns: Understand how products and features are adopted.

  • Evaluate marketing campaigns: Determine the effectiveness of marketing efforts.

  • Optimize user engagement: Compare different cohorts to enhance user experiences.

How To Analyze Customer Retention With Cohort?

To analyze customer journey with cohort analysis:

  1. Define cohorts: Group customers based on a common characteristic or experience.

  2. Track performance: Monitor how each cohort performs over time.

  3. Identify patterns: Look for trends and changes in behavior.

  4. Evaluate strategies: Assess the effectiveness of retention strategies for each cohort.

How to Improve Retention Score with Cohort Analysis?

Improving retention scores with cohort analysis involves:

  • Identifying successful cohorts: Determine which cohorts have the highest retention rates.

  • Analyzing variables: Understand the factors contributing to their success.

  • Implementing strategies: Apply successful strategies across other cohorts.

Monitoring results: Continuously track and adjust strategies based on performance.

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