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How do you analyze cohorts and identify trends?
sobes.tech AI
Answer from AI
Cohort analysis is a method of segmenting users into groups based on a certain attribute (for example, registration date, traffic source, product version). It helps track behavior and metrics within each cohort over time, identify trends and changes.
To analyze cohorts and observe trends, you need to:
- Define cohorts — for example, users who registered in the same month.
- Choose metrics for analysis (retention, conversion, average check, etc.).
- Build cohorts over time and track the dynamics of metrics by days/weeks/months after the event (registration, purchase).
- Compare cohorts with each other to see improvements or deteriorations in metrics.
Example: user retention by registration cohorts
| Cohort (registration month) | Day 1 | Day 7 | Day 30 |
|---|---|---|---|
| January | 40% | 20% | 10% |
| February | 45% | 25% | 15% |
It is visible that the February cohort shows better retention, which may indicate improvements in the product or marketing.
For visualization and analysis, tools like BI (Tableau, Power BI), specialized analytics platforms (Mixpanel, Amplitude), or SQL queries to the database are often used.