GlobalCRM/Marketing

Smart Retention & Churn

Name: Smart Retention & Churn
Price: 89 USD

Churn prediction with scikit-learn / XGBoost training pipeline (BETA - requires ML stack + training data)

Odoo 20.0Odoo 19.0Odoo 18.0

Compatible with Odoo 18.0 · 19.0 · 20.0

OPL-1 license · Community & Enterprise

Smart Retention & Churn

Churn prediction with scikit-learn / XGBoost training pipeline (BETA - requires ML stack + training data)

Smart Retention & Churn brings a real machine-learning pipeline to your Odoo CRM and Sales data. Built on scikit-learn and XGBoost, it scores every customer for churn risk, tracks customer health and lifecycle stage, and triggers automated win-back campaigns before revenue walks out the door. Feature engineering turns raw order history, engagement and RFM signals into churn predictions, while cohort analytics, lifetime value and exit-survey insight help your retention team act on the right accounts at the right time. Note: churn prediction is model-driven and requires your own historical training data to produce meaningful scores. The ML stack is not bundled: install it on your Odoo server with pip install scikit-learn pandas numpy joblib xgboost. The module installs and every non-ML feature works without it.

Key Features

ML Churn Prediction

A real predictive engine (scikit-learn Random Forest / Logistic Regression and XGBoost) scores each customer's likelihood to churn. Models are trained on your data and support auto-retraining as new history accumulates.

Feature Engineering & RFM

Behavioral features are derived from CRM and Sales activity, including RFM (recency, frequency, monetary) scores and engagement metrics, so the model learns from meaningful customer signals rather than raw records.

Automated Win-Back Campaigns

A retention campaign engine launches personalized win-back offers to at-risk customers across channels, with ROI and campaign-performance tracking so you can see what recovers revenue.

Customer Health & Lifecycle

Track every account through lifecycle stages from onboarding to loyalty to churn, with a real-time customer health view and at-risk alerts surfaced directly in Odoo.

CLV & Cohort Analytics

A dedicated lifetime-value calculator and cohort analysis model let you quantify customer worth and measure retention across acquisition cohorts over time.

Exit Surveys & A/B Testing

Automated exit surveys capture why customers leave, while built-in A/B testing lets you compare retention strategies and double down on the offers that work.

Use Cases

✓Score your customer base for churn risk and prioritize outreach to the highest-risk, highest-value accounts.

✓Trigger automated, personalized win-back offers the moment a customer's health score drops.

✓Monitor each account's lifecycle stage and intervene before onboarding stalls or loyalty fades.

✓Calculate customer lifetime value to focus retention budget where it returns the most.

✓Run cohort retention analysis to spot which acquisition periods and segments retain best.

✓Collect exit-survey feedback and A/B test retention strategies to continuously improve win-back ROI.

Screenshots

Customers

Predictions

Winback

Cohorts

Exit Surveys

Ab Tests

Why Choose This Module

Unlike dashboards that only report what already happened, Smart Retention & Churn ships a genuine machine-learning pipeline built on scikit-learn, pandas, NumPy, joblib and XGBoost, integrated natively with Odoo CRM, Sales, Mail, Portal and Website. Models train on your own data and retrain automatically, retention campaigns run end to end inside Odoo, and every feature, from CLV and cohort analytics to exit surveys and A/B testing, is implemented as real Odoo models. Available in English for Community and Enterprise on Odoo 18.0, 19.0 and 20.0.