In this video, I will show you how to do Cohort Analysis for E-commerce brands, using the same process that helped us increase the customer lifetime value of multiple brands by 10-30%.
For D2C brands, cohort analysis can lead to:
Higher customer retention
Increased average order value
Lower cost per acquisition
Efficient inventory management
What You'll Learn:
What is cohort analysis?
How to perform cohort analysis using Shopify or Google Analytics without any paid tools
How to derive 5 actionable insights to implement today
By the end of this video, you'll be able to:
Predict when your customers will make their next purchase
Identify any seasonality in repeat purchases
Determine the average duration a customer stays with your brand
Introduction:
Hi, I am Rahi Jain, and I help e-commerce brands achieve profitable growth at scale. With experience working with over 50 DTC brands, I've helped generate $34M in email revenue, doubled average order values, and increased customer lifetime value by 10-30%.
Video Chapters:
0:00 Introduction
0:52 What is Cohort Analysis?
2:40 Finding Cohort Analysis Reports in Shopify and Google Analytics
3:55 Interpreting Cohort Analysis Data (Horizontal Analysis)
9:17 Month On Month Analysis
10:34 Seasonality of Purchases
12:34 Different Metrics
16:06 Marketing Channel Analysis
16:43 Product Profitability Analysis
17:39 Takeaway Value Insights
18:56 Limitations of Cohort Analysis
20:52 Conclusion
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