What are the common mistakes in cohort analysis?
An example of an AI chatbot conversation about common mistakes in cohort analysis.
What are the common mistakes in cohort analysis?
Some common mistakes include not defining cohorts clearly, ignoring external factors, and failing to track changes over time.
Can you explain why defining cohorts clearly is important?
Defining cohorts clearly ensures that you're analyzing the right groups, which leads to more accurate insights and decisions.
What external factors should I consider?
External factors can include seasonality, market trends, and changes in user behavior that might affect your analysis.
How can I track changes over time effectively?
You can track changes by regularly updating your data, using consistent metrics, and comparing cohorts across different time periods.
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