What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS

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🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)

Brief introduction of ecommerce tool including life time value (LTV), net promoter score (NPS) and cohort analysis table.

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CLV PULSE - A DYNAMIC CUSTOMER LIFETIME VALUE PREDICTOR MODEL USING MACHINE LEARNING

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Data Analytics, PnL, LTV & retention analysis with Django

Exploratory data analysis projects

unit economics & cohort analysis projects

Machine learning model to predict churn of credit card customers. Demonstration of novel XGBoost configuration for noisy, imbalanced data.

FLO wants to determine a roadmap for its sales and marketing activities.

GMD is a lightweight SaaS metrics dashboard that gives founders instant clarity on their business performance. Track MRR, ARR, churn, CAC, LTV, and more through automated data ingestion, Stripe integration, and CSV uploads in an all in one clean, easy-to-use interface.

🧴 Calculate LTV, promo economics, and more with Prestige Fragrance GTM, a versatile toolkit for prestige fragrance analysis and reporting.

Cohort CAC/LTV model for GTM analytics. DuckDB SQL executed from Python. Exports Excel + PNG for decision-ready unit economics.

SQL + Python проект анализа LTV, churn и поведения клиентов финтех-сервиса.

Country & customer analytics on UCI Online Retail 2011 — cohort, R×F, LTV dashboards (Python + Tableau).

Python Program to Calculate Which Roles a Business Needs to Grow and How Many FTEs are in a Particular Role. To Calculate "Customer Lifetime Value." To Test Logic Over Time. Ultimately, to Optimise a Business. This information is relevant to Business Acquisitions, New Business Owners, and Business Owners Looking to Expand.

Robust data-driven control for nonlinear systems using imperfect digital twins and LMI-based quadratic funnel certificates.