Qonversion Features
Metrics (5)
Engagement
Configures and accurately measures an appropriate measure of engagement, such as average session length.
Exit Tracking
Accurately determines where users close the app during their sessions.
Retention
Accurately measures bounce rate.
Return
Tracks user return rates and related metrics.
Conversions
Tracks what proportion of users convert via a certain action.
User Identification (3)
Demographics
Identifies user demographics like gender or age.
User Segmentation
Enables the view of analytic data based on user segment.
Geolocation
Identifies users locations.
Tracking & Reporting (6)
Custom Event Tracking
Enables you to define custom events for analysis.
Real-Time Insights
Provides real-time reports.
Attribution
Measures user acquisition analytics.
Dashboard
Provides a holistic summary of your data.
User Path Tracking
Displays a users progress throughout specific paths in an application.
User Activity History
Displays a users activity history.
Revenue Optimization (4)
At-Risk Customers
Identify customers that are more likely to cancel their subscriptions
Offer Optimization
Optimize product offerings and packages to increase customer loyalty
Customer Churn
Address customer churn by identifying the causes of cancellations
Revenue Forecasting
Estimate future changes in revenues per product type or customer category
Revenue Recognition (3)
Usage Tracking
Track usage per company, custom time period, or contract
Deferred Revenue
Track payments received for products that haven't be delivered yet
Revenue Accrual
Recognition rules to accrue revenue on a daily or monthly basis
Billing and Payments (3)
Payment Terms
Provide multiple payment terms per customer or contract
Personalized Billing
Different types of billing such as: recurring, one time changes, based on number of seats or usage
Custom Pricing
Manage customer specific pricing as well as coupons, discounts, and gift plans
Data Management (3)
Updating
Updates subscription data automatically at predefined time periods that can be customized by users
Data cleansing
Processes and cleans subscription data from multiple sources, automatically or on demand
Integration
Provides integration with subscription billing, subscription management, and other solutions to capture subscription data
Analysis (4)
KPIs
Includes standard KPIs such as monthly recurring revenue (MRR) or customer lifetime value (CLTV)
Dashboards
Dlivers standard dashboards for subscription analysis that can be customized by users
Segmentation
Allows users to analyze subscription data by product, time period, type of contract, etc.
Revenue Optimization
Provides insights that can be used to improve sales and revenue
Agentic AI - Subscription Analytics (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Decision Making
Makes informed choices based on available data and objectives




