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| Name | Measuring Customer Lifetime Value: A Data Scientist's Guide |
| Video Uploader | Video From Rabbitmetrics |
| Upload Date | This Video Uploaded At 25-11-2022 15:34:17 |
| Video Discription | This episode will show data scientists, eCommerce analysts, and growth marketers how to measure customer lifetime value in a way that allows them to quickly compare the value of customers from different time-based cohorts. By understanding your customer's lifetime value, you'll be able to make better business decisions and improve your bottom line. This guide will teach you everything you need to know to measure customer lifetime value and optimize your business processes. So whether you're an eCommerce business owner or a data scientist, this guide is for you! The video shows how to make the needed predictions in Python and sketches how this can be deployed for automated CLV calculations. The code shows explicitly how to extract data from Shopify, transform the data and create new data frames with CLV predictions. To extract the transaction data from Shopify follow the guide in this video: https://youtu.be/0jCpYG51oqE ▬▬▬▬▬▬ VIDEO CHAPTERS & TIMESTAMPS ▬▬▬▬▬▬ 0:00 Introduction and video overview 0:49 How to define CLV in a way that makes the metric actionable. 2:55 Predicting CLV in Python 8:00 Analyzing buyer behavior: what the model can capture from data 9:30 Deployment scores and triggers: how to automate CLV predictions for maximum benefit. |
| Category | Science & Technology |
| Tags | customer lifetime value | shopify | python data analysis | clv model | ecommerce analytics | data science python | ltv model | rfm python | customer insight | customer insight marketing | customer lifetime value calculation | customer lifetime value formula | customer lifetime value example |
