Project information
- Title: LTV-Projection Engine
- Category: Data Science
- Project URL: LTV-Projection Engine project
Details
- To predict the customer's lifetime value and segment the customers based on their LTV so that we can provide this information to the marketing team for the campaign & CPA optimization.
- Customer lifetime value (CLV) is one of the key stats likely to be tracked as part of a customer experience program. CLV is a measurement of how valuable a customer is to your company with an unlimited time span as opposed to just the first purchase.
- This metric helps you understand a reasonable cost per acquisition. CLV is the total worth to a business of a customer over the whole period of their relationship.
- It’s an important metric as it costs less to keep existing customers than it does to acquire new ones, so increasing the value of your existing customers is a great way to drive growth.
- The dataset was taken from the UCI Machine Learning Repository. This is a transactional data set which contains all the actual transactions for a UK-based and registered ecommerce online retail store. The company mainly sells unique all-occasion gifts. This dataset has several features which includes the Invoice Number, Stock Code, Product Description, Product Quantity, Invoice Date, Unit Price, Customer ID, etc.