ChurnShift provides AI‑driven churn prediction and risk analysis that identifies which customers are likely to leave and when they might do so. Its human‑in‑the‑loop Agentic AI creates tailored retention plans and engages customers through secure, private‑cloud deployments that keep all data within the client’s VPC. The platform also offers timeline analysis and customizable model training to fit the specific needs of SMBs and enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses often lose revenue because they cannot accurately identify which customers are likely to leave, when they will do so, or the underlying reasons for churn. Without timely insights, companies struggle to intervene with effective retention actions, leading to reduced customer lifetime value.
Solution
ChurnShift offers an AI-driven platform that predicts churn risk at the individual customer level, estimates the timing of potential churn, and explains the key drivers behind each risk. The system combines proprietary human‑in‑the‑loop Agentic AI with statistical risk analysis to generate actionable retention plans tailored to each business’s context. Users receive a clear churn timeline, a diagnostic “why” report, and a prescriptive “how” roadmap for engagement. The platform can be deployed in a private VPC, ensuring that all data remains within the client’s environment. For larger organizations, ChurnShift provides custom model training, dedicated AI agents, and bespoke service level agreements. A free trial and flexible subscription tiers make the solution accessible to both SMBs and enterprises.
Target Audience
Primary customers are product, marketing, and customer success teams at SaaS, subscription‑based, and other recurring‑revenue businesses that need to reduce churn and improve lifetime value. The platform serves both small‑to‑medium enterprises and large enterprises requiring on‑premise deployment.
Features
- Individual‑level churn probability scores with confidence intervals
- Timeline analysis that forecasts the most likely churn window for each customer
- Explainable AI reports that highlight the primary factors driving churn risk
- Automated retention planning that suggests targeted interventions and communication strategies
- Private VPC deployment option that keeps all customer data on‑premise
- Custom model training pipeline for industry‑specific data and use cases
- Scalable subscription plans with optional custom AI agents and SLAs for enterprise needs