Boost Your Business with CUSTOMER LIFETIME VALUE! Here's How to Calculate it скачать в хорошем качестве

Boost Your Business with CUSTOMER LIFETIME VALUE! Here's How to Calculate it

Welcome back to the channel! In this video, I continue my series on analyzing sales and customer purchase patterns for a digital media store. Last week, we dove into the project setup, and today, we’re focusing on calculating Customer Lifetime Value (CLV) using SQLite. Here’s what you can expect: 1. Project Overview: I’ll give a brief recap of my project, which aims to analyze sales, customer purchase patterns, CLV, and market basket data. 2. Table Breakdown: I created five key tables for this analysis: Artist Album Table: This table contains essential columns like invoice date, tracks, albums, artists, genre, media type, composers, and customer details. If you missed how I extracted all the columns into this table, check out the link in the description for that video! Customer Lifetime Value Table: I explain how to calculate CLV, a critical metric that gives insight into customer purchasing behavior over time. To do this, we’ll look at three metrics: **Purchase Frequency: How often does the customer buy? **Average Purchase Value: The average amount spent by each customer. **Customer Lifespan: The duration between a customer’s first and last purchase. The formula for CLV is: CLV = Average Purchase Value × Purchase Frequency × Customer Lifespan Customer Segmentation Table: Analyzing different customer segments for targeted marketing. Market Basket Analysis for Tracks & Albums: Understanding which items are frequently bought together. 🔗 Related Video:    • How to Easily Extract a Table from SQLite ...   If you found this video helpful, please give it a thumbs up, subscribe, and hit the notification bell so you won’t miss any future updates!