gamma-gamma

Customer Lifetime Value Prediction

FLO wants to determine roadmap for sales and marketing activities. In order for the company to make a medium long -term plan, it is necessary to estimate the potential value that existing customers will provide to the company in the future.

BG-NBD-GammaGamma-CLTV CLTV-Analysis

Demonstrates how Python's lifetimes package can identify high-value customers and predict their future purchasing behavior. Utilizing the BG/NBD model to forecast purchase frequency and the Gamma-Gamma model to estimate transaction value, this repository aids in crafting targeted marketing strategies.

Customer Lifetime Value (CLTV) modeling for ecommerce using predictive analytics. Includes BG/NBD & Gamma-Gamma models, customer segmentation, SQL pipelines, and Power BI dashboards for actionable marketing insights.

Introduction to create a CLI and custom Python package. The package contains some functions to apply RFM and BG-NBD.

CLTV prediction, BGNBD, Gamma Gamma

Using real online retail data from a store, customer value was predicted and segmented using two probability models: BG/NBD and Gamma-Gamma. An example was used to illustrate the implementation process of the customer lifetime value analysis model and segmentation model.

DATA ANALYSIS

This project is based on the desire of an online store to segment its customers and determine its marketing strategies according to these segments.

A CLV model that uses public data and compares the simple method based on AOV with the industry standard BG/NBD + Gamma-Gamma models.

Customer lifetime value (CLV/LTV) modelling, cohort analysis, and validation-gated forecasting that runs entirely in your browser. sBG for subscriptions, BG/NBD + Gamma-Gamma for e-commerce. TypeScript engine, React UI, no backend. Your data never leaves the device.

Customer Lifetime Valuation tools and techniques

A retail company wants to create a roadmap for its sales and marketing activities. To plan for the medium to long term, the company needs to predict the potential value that existing customers will bring in the future.