subscription analytics
Real-time, integrated subscription analytics.
Get a 360-degree view of your customer lifecycle with our integrated dashboard. Access proactive metric alerts and AI-driven health scores to deliver data-backed, personalized experiences that drive growth—all in one place.
One platform, all your SaaS metrics and more
Streamline data management, offer comprehensive insights, and monitor key metrics like MRR, churn, and LTV right out of the box. Make data-driven decisions efficiently and empower your SaaS business to adapt and grow in a competitive landscape.
0k+
actionable insights per day
0m+
subscriptions tracked
0%
App uptime (exc. planned maintenance)
INTELLIGENT MONITORING
Stay ahead of revenue shifts with proactive alerts
OpenPay analyzes your historical and current subscription revenue data, notifying you of anomalies and highlighting opportunities for focus. Tackle challenges before they escalate—not when it’s too late.
CONVERSION OPTIMIZATION
Unlock high-value customers and pricing strategies
Identify customers with the highest conversion and upgrade potential, pinpoint the most effective pricing plans, and drill down on attributes that drive your top performers.
CUSTOMER HEALTH INSIGHTS
Precise behavior targeting fueled by AI
Always know who to target with tailored offers. OpenPay blends historical subscription revenue and customer engagement data to identify customers at risk of churning, those likely to return, and those ready to increase their spending.
Built for ambitious entrepreneurs
“Streamlining our operations was crucial for expanding our AML program. OpenPay's user-friendly platform allowed us to manage risk effectively, ensuring our partners could grow while maintaining a secure and compliant environment.”
Metrics that propel you forward
Subscription Analytics is designed with you in mind. From revenue forecasting to A/B testing, eliminate the guesswork and rely on real, actionable data to make decisions for your SaaS business.
Test, learn, prioritize
Use data and A/B testing to collect user feedback on various features and prioritize product development based on customer preferences and engagement levels.
Decode customer behaviors
Analyze user data to identify the “what” of customer behaviors and the “why” behind them, providing valuable insights into customer motivations and needs.
Set data-driven targets
Facilitate informed decision-making and set realistic revenue goals by benchmarking performance against industry standards and historical data.
