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Key metrics for cohort analysis

Posted: Tue Jan 28, 2025 10:56 am
by hmonower921
Retention Rate - user retention over a given period.

Churn Rate - the proportion of users who have stopped interacting with the product.

Lifetime Value (LTV) - the total revenue from a client over the entire period of their interaction with the product.

Average Revenue Per User (ARPU) - average revenue per user.

Cost per Acquisition (CAC) - the average cost of attracting one client.
Comparison of approaches to metrics
Google Analytics focuses more on user retention.

Yandex.Metrica allows you to track a wide range of user actions.

Andata provides a complete system for working with metrics, including crypto email database list calculating complex indicators such as ROI and LTV.
Conclusion
Cohort analysis is becoming a key tool for businesses looking to understand their customers and optimize their marketing strategies. Google Analytics and Yandex.Metrica offer robust basic analytics tools, but their functionality is limited for large companies or businesses looking for maximum personalization and deep data analysis.

Andata stands out from the competition:
More powerful cohort analysis capabilities.
Deep segmentation and forecasting of customer behavior.
Convenient integrations and customization of reports.

Using Andat allows businesses to not only understand data, but also use it effectively to achieve strategic goals.