This project aims to predict the Customer Lifetime Value (CLV) based on transaction history and customer demographics. It uses regression models to estimate future CLV.

This project aims to predict Customer Lifetime Value (CLV) using RFM (Recency, Frequency, and Monetary) analysis. The project involves analyzing transactional data, calculating RFM metrics, and ...

Customer lifetime value (CLV) is absolutely crucial in the world of ecommerce. It’s not just beneficial, it’s essential. Mastering this concept can significantly impact your bottom line as a Shopify ...

In this post, we will guide you through a simple and effective way to calculate Customer Lifetime Value that doesn’t require any fancy modeling or machine learning. Here are just a few things you can ...

utilities are discovering what many other industries have understood for years – the concept of customer lifetime value (CLV). According to E Source, a division of Platt’s, an energy information and ...

As businesses strive to foster stronger connections with their customers, 2025 will see key shifts in how loyalty programs ...

NPS alone no longer cuts it. Evolving customer experience metrics like CES and XQI are helping brands stay ahead in 2025 and ...

Experts say that brands that communicate directly with their audience always work well. And who better to lead that effort ...

Paired with decreasing CPA, improving customer lifetime value is the path to more revenue ... Now combine it all — increased brand trust, improved CLV and ongoing insight generation using ...