ChurnShield uses advanced AI to predict which customers are at risk, so you can take action and boost retention by up to 30%.
Track key behavioral metrics and detect early warning signs of potential churn through our real-time analytics dashboard.
Leverage our AI models to accurately forecast which customers are likely to churn before it happens.
Deploy targeted interventions and automated workflows to re-engage at-risk customers before they leave.
Intuitive dashboards offer clear visibility into customer health metrics, allowing you to monitor engagement and measure intervention impacts effectively.
Seamlessly integrate ChurnShield with your existing tools using Stripe for payment processing and our API for connectivity.
Allows businesses to track and customize health score metrics specific to their needs, aiding in identifying at-risk customers and developing retention strategies.
Provides detailed analytics and the ability to create custom reports for better insight into customer behavior and business performance.
Sends alerts through multiple channels to keep businesses informed about important changes in customer data or potential churn risks.
Provides detailed documentation for ChurnShield API endpoints, enabling seamless integration with your own systems.
Fetch a list of all customers with their details such as ID, name, email, status, and creation date to maintain a comprehensive customer database.
Access detailed health score metrics for individual customers, including engagement, support, and billing indicators, to assess customer retention risk.
Utilizes machine learning models to analyze customer behavior patterns, offering features like an early warning system to detect churn signals up to 30 days in advance, risk scoring that assigns levels to each customer, and in-depth behavior analysis.
Allows real-time monitoring of customer health and predictive risk scores, providing a comprehensive view of potential churn risks.
Tracks customer health scores with customizable metrics, engagement tracking, and trend analysis to identify patterns across customer segments.
Enables the creation of automated workflows triggered by signs of potential churn, featuring playbook templates for common scenarios, custom triggers, and effectiveness tracking to measure intervention impact.
Uses artificial intelligence to identify customers who are at risk of leaving, allowing businesses to take proactive measures to retain them.
Provides detailed analytics on customer behavior and engagement to help businesses understand trends and prevent churn.
Allows customers to access their ChurnShield data through an API, facilitating integration with third-party applications and services.
Adheres to strict privacy policies to ensure the protection and proper management of user data.
Employs industry-standard encryption technologies such as TLS to secure data in transit and encrypts sensitive data at rest for robust data protection.
Implements role-based access controls (RBAC) with multi-factor authentication to restrict data access and enhance security.
Performs continuous system monitoring, anomaly detection, and automated alerts for potential security threats to maintain proactive protection.
Regularly conducts vulnerability scans, penetration testing, and utilizes a bug bounty program to promptly address security issues.
Has an established incident response plan and trains staff for quick action in case of security breaches to mitigate risks effectively.