Customer Retention & Cohort Analysis Performed an advanced cohort retention analysis using sample...

Customer Retention & Cohort Analysis Performed an advanced cohort retention analysis using sample...Customer Retention & Cohort Analysis Performed an advanced cohort retention analysis using sample...

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Tahira Maryam

• Aug 28

Customer Retention & Cohort Analysis Performed an advanced cohort retention analysis using sample customer data to evaluate retention patterns across acquisition cohorts. The analysis highlights customer behavior over time and helps identify retention trends and potential churn risks through data visualization.

Data Science Data Visualization Microsoft Excel

Mo Rahman

• Aug 29

Cohorts are the right lens here. One useful guardrail is comparing cohorts at identical ages and separating acquisition-channel mix from within-cohort retention; otherwise a newer cohort can look weaker simply because it has had less time to mature. Nice foundation for making churn actionable.

Tahira Maryam

• Aug 30

Great insights, Mo. I completely agree that adjusting for acquisition channels and cohort age is crucial to avoid misleading conclusions. Appreciate the guidance!

Mo Rahman

• Aug 30

Glad it was useful, Amna. A practical next step is a channel-by-cohort matrix with equal observation windows and a minimum-sample flag. That makes it much easier to separate real retention shifts from acquisition-mix effects. Looking forward to seeing where you take it.

Tahira Maryam

• Aug 31

Thanks a lot for the great insights, Mo! This approach will definitely make the retention analysis much cleaner. Excited to see where this goes too!

Hazem Khaled

• Oct 27

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Muhammad Sohaib

• Oct 28

Congratulations on earning the AWS Machine Learning Engineer certification, Hazem khaled! Robust pipelines and cloud automation make all the difference for production-grade AI systems.