clv-modeling
CommunityForecast customer value end-to-end to power retention and growth.
Marketing & Sales#rfm#bayesian#customer-segmentation#predictive-modeling#clv-modeling#bg-nbd#gamma-gamma
Authorweisberg
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Forecasts customer lifetime value by combining purchase frequency, monetary value, and churn risk to enable targeted retention and smarter marketing investment.
Core Features & Use Cases
- End-to-end CLV modeling for non-contractual (transactional) and contractual (subscription) businesses
- Per-customer CLV predictions with confidence intervals, CLV:CAC ratios, and segmentation
- Supports both MLE (lifetimes) and Bayesian (PyMC-Marketing) approaches, plus holdout validation
Quick Start
Run the CLV pipeline on your transaction data by executing the run_prediction_pipeline script with appropriate paths.
Dependency Matrix
Required Modules
lifetimespymc-marketingarvizpandasnumpyscipy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: clv-modeling Download link: https://github.com/weisberg/agile_agentic_analytics/archive/main.zip#clv-modeling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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