In-depth analysis of cohort analysis and platforms for its implementation: Andata, Google Analytics and Yandex.Metrica

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Cohort analysis is a tool that helps businesses identify patterns in the behavior of customer groups united by common characteristics (cohorts). This could be the date of the first purchase, traffic source, geographic location, or other parameters.

Modern platforms such as Google Analytics, Yandex.Metrica, and Andata offer different approaches to cohort analysis. However, differences in their functionality and depth of analytics often become the determining factor when choosing a tool. It is important to understand how they work in order to choose the optimal solution for analyzing and growing your business.
Content
What are cohorts and why are they important?
Cohort Analysis Capabilities in Google Analytics
Cohort Analysis Capabilities in Yandex.Metrica
Cohort Analysis Capabilities in Andata
Key metrics for cohort analysis
Conclusion

What are cohorts and why are they important?
A cohort is a group of users that share a common characteristic, such as uk consumer email list sign-up date, first visit, or purchase. These groups are analyzed over time to understand how they interact with the product, whether they return, and how loyal they are.
For example:
Comparison of cohorts by acquisition channels (VKontakte vs. Yandex.Direct) may show that users from VKontakte are more likely to return for repeat purchases. This may help to redistribute advertising budgets more effectively.
Cohort Analysis and ROI
Companies that actively use cohort analysis achieve a 20-30% increase in ROI due to a more accurate understanding of customer behavior and effective audience segmentation.
Cohort Analysis Capabilities in Google Analytics
Google Analytics provides basic cohort analysis tools that are suitable for small and medium businesses.
Main functionality
Tracking Retention Rate by time periods.
Flexible setting of analysis time intervals (day, week, month).
Ability to track the number of sessions, conversions and other key metrics.
Advantages
Integration with Google advertising platforms (Ads, YouTube), which simplifies the analysis of campaign effectiveness.
Support for cloud solutions (BigQuery) for deeper data analysis.
Restrictions
Cohort analysis is primarily focused on the date of first interaction, which limits flexibility.
Setting up custom cohorts (e.g. by behavior or demographics) requires complex configuration.
The free version has limitations on the amount of data and available reports.