Organizations Using the churn-analysis Tag for Predictive Retention Modeling and Churn Prediction
Discover organizations tagged with churn-analysis and learn how they implement predictive retention modeling, churn prediction pipelines, cohort and survival analysis, and customer lifetime value optimization across SaaS, e-commerce, telecom, and fintech sectors. This filtered list of organizations (pillar: tags, item: churn-analysis) highlights technical approaches—machine learning models (logistic regression, XGBoost, gradient boosting, LSTM/temporal neural nets), feature engineering, time-series and event-stream analytics, and A/B testing—so you can compare strategies, data sources, and KPIs like churn rate reduction and retention lift. Use the filtering UI below to narrow results by industry, tech stack, model type, or dataset size, examine detailed profiles and case studies, and export or contact organizations to evaluate tools and partnerships. Explore these organizations to find proven churn-analysis implementations, replicate scalable workflows, and take action to improve customer retention today.
