Plans supporting this feature: Growth Enterprise
Don't just report on what happened - forecast what's next.
Our predictive analytics tools use advanced modeling and historical patterns to help you anticipate revenue, spot risks early, and guide strategic decisions.
Predictive Analytics provides three powerful labs for different aspects of revenue forecasting and optimization.
📊 What's inside Predictive Analytics?
1. Pricing Lab - Test pricing strategies and forecast their impact
2. Retention Lab - Forecast churn, customer lifetime, and churned revenue
3. Acquisition Lab - Forecast customer growth, Lifetime Value (LTV), and new revenue
🧪 Pricing Lab
Test pricing and discount strategies and forecast their impact on churn, conversion, Lifetime Value (LTV), and revenue metrics to find the most optimal strategy for a given metric.
The Pricing Lab follows a comprehensive 6-step analysis process to understand how pricing decisions affect your entire customer lifecycle:
Step 1: Churn Rate Over Time
Analyze how different pricing strategies affect customer churn rates throughout the subscription journey
Understand how customers are more likely to churn at the start (1 month in) vs. further into their subscription (6+ months in)
Identify early vs. long-term customer churn patterns using relative time periods
Step 2: Survival Curves
Translate churn rates into survival curves showing customer retention duration
Identify the 50% survival threshold - when half of your customers have churned
Compare retention patterns across different price points
Step 3: Cumulative Revenue per Customer
Calculate total revenue generated per customer over their lifetime
Combine price points with customer retention to show total relationship value
Understand the revenue impact of different pricing strategies
Step 4: Lifetime Value (LTV) Distribution
View the complete picture of customer worth across pricing strategies
Understand the trade-off between price, retention, and total customer value
Identify optimal pricing for maximizing customer lifetime value
Step 5: Subscription Growth Forecast
Examine how pricing decisions affect new subscription acquisition
View historical growth patterns and forecast future growth with uncertainty bounds
See the impact of price changes on customer acquisition rates
Step 6: Revenue Breakdown
Break down total revenue into core components: new customer acquisition, recurring revenue, and churn impact
Understand the drivers behind each pricing scenario
Compare revenue breakdowns across different pricing strategies
🔑 Key Features
Multi-scenario comparison - Test multiple pricing strategies simultaneously
Interactive charts - Hover over different scenarios to see real-time comparisons
What-if testing - Model the impact of price changes before implementing them
Simulation-based forecasting - All predictions include uncertainty ranges and confidence intervals to account for variations in customer behavior
🔄 Retention Lab
Forecast churn, customer lifetime and churned revenue across plans and cohorts.
The Retention Lab provides comprehensive insights into customer retention patterns and helps you understand why customers leave and how to keep them longer.
Step 1: Churn Rate Trends
Track how churn rates evolve over absolute time (calendar dates)
Identify seasonal patterns and trends over time
Compare churn rates across different subscription plans
Step 2: Relative Churn Rate Analysis
Analyze churn rates at relative time periods (e.g. churn after 1 day, 2 days, etc.)
Understand customer lifecycle patterns and churn risk evolution
Measure all retention metrics in days for precise analysis
Step 3: Expected Lifetime
Translate churn rates into survival curves showing customer retention duration
Identify the 50% survival threshold across different plans
Compare expected customer lifetime across your subscription portfolio
Step 4: Churned Revenue (MRR)
Understand how churn impacts your total revenue across different plans
Track the revenue distribution and identify high-value customer segments
Analyze the financial impact of retention strategies
🔑 Key Features
Multi-plan analysis - Compare retention patterns across your entire plan portfolio
Cohort analysis - Group customers by sign-up periods to identify trends
Interactive visualizations - Expand charts for detailed analysis
Revenue impact tracking - See how retention affects your bottom line
📈 Acquisition Lab
Forecast customer growth, LTV, and new revenue across plans and cohorts.
The Acquisition Lab helps you understand how pricing decisions affect new customer acquisition and guides your growth strategy.
Step 1: Subscription Growth Forecast
Analyze how different pricing strategies affect new subscription acquisition
View historical growth patterns and forecast future growth with uncertainty bounds
Identify the optimal pricing for maximizing customer acquisition
Step 2: Cumulative Revenue per Customer
Calculate how much revenue each customer generates over their lifetime
Combine price points with customer acquisition patterns
Show total value per customer relationship across different pricing strategies
Step 3: New MRR Generation
Track how pricing decisions affect new Monthly Recurring Revenue generation
Understand the revenue impact of different pricing strategies on new customer sign-ups
Guide investment decisions in customer acquisition channels
🔑 Key Features
Multi-plan comparison - Analyze acquisition patterns across your plan portfolio
Growth forecasting - Predict future customer acquisition with confidence intervals
Revenue optimization - Find the pricing sweet spot for maximum growth
Channel insights - Understand which acquisition channels perform best
🔮 Future Enhancements
Custom Analytics (Coming Soon)
We're working with selected customers to build advanced predictive capabilities that integrate with your usage data:
Retention Lab Custom Features
Predict which customers are likely to churn and why
Identify early warning signs and prevention strategies
Personalized retention recommendations based on customer behavior
Acquisition Lab Custom Features
Predict which customers are likely to convert
Understand which channels are performing best and worth investing in
Optimize acquisition spend based on predicted customer value
🎯 How to Use Predictive Analytics
1. Select Your Analysis Type - Choose between Pricing Lab, Retention Lab, or Acquisition Lab
2. Configure Your Parameters - Select plans, scenarios, or cohorts to analyze
3. Launch Analysis - Run the predictive models with your selected parameters
4. Review Results - Explore interactive charts and insights
5. Take Action - Use the insights to optimize your pricing, retention, or acquisition strategies
💡 Best Practices
Start with Pricing Lab - Understanding pricing impact is foundational to other analyses
Compare Multiple Scenarios - Don't just test one price change; explore the full range of possibilities
Monitor Over Time - Predictive analytics improve with more historical data
Combine Insights - Use findings from all three labs to create a comprehensive growth strategy
Test and Iterate - Use the labs to model changes before implementing them in production
🚀 Getting Started
Predictive Analytics is available in the Growth & Enterprise plans. Access it through the Predictive Analytics tab in your Revenue Insights area.
For questions about implementing custom analytics or integrating additional data sources, contact your Customer Success Manager.