Beyond Prediction:
The Transition to
Prescriptive Intelligence
Leverage a platform engineered for the final stage of analytics maturity. By integrating predictive modeling with contextual action benchmarking, RetentionLens moves beyond diagnostics to provide specific, AI-driven recommendations that systematically navigate and improve revenue opportunities.
No registration required for initial evaluation • Trusted by 500+ SaaS organizations
Retention analytics for SaaS revenue intelligence
Modern SaaS businesses generate vast quantities of behavioral data through customer interactions, subscription events, and billing signals. RetentionLens transforms this raw data into retention curves, cohort trends, and actionable insights you can validate and act on quickly.
The foundation of our analytics today is survival analysis (Kaplan-Meier) plus cohort retention and hazard rates. More advanced forecasting and segmentation models are under active development as we expand the model stack.
Churn insights are derived from survival curves, hazard rates, and billing event sequences. When data volume supports it, we validate and calibrate risk scoring on your own historical churn. The goal is transparent, explainable signals—not magic accuracy claims.
Revenue analytics summarizes historical trends (GRR/NRR, expansion/contraction) and supports lightweight projections. Statistical time-series forecasting (ETS/ARIMA) is under active development in the Python ML service.
When revenue shifts, the dashboard helps you slice by cohorts and segments to pinpoint where it happened (logo churn vs expansion vs contraction). Advanced clustering-based segmentation is under active development.
Advanced Predictive Modeling Framework
Four core methodologies that transform raw behavioral data into actionable revenue intelligence.
Survival Analysis & Churn Prediction
Uses Kaplan-Meier survival analysis to model retention and derive hazard rates from lifecycle and billing events. Churn risk scoring is available as early signals; more advanced models (including Cox regression) are under active development and will be validated on your own data as volume grows.
Time-Series Revenue Forecasting
Tracks revenue dynamics (NRR/GRR, expansion, contraction, logo churn) and supports lightweight projections for planning. Statistical forecasting with confidence intervals (ETS/ARIMA) is under active development.
Uplift Modeling & Causal Inference
Performs granular root-cause analysis of revenue events through advanced segmentation algorithms and causal inference techniques. When revenue fluctuations occur, the system automatically correlates changes with specific customer cohorts, feature modifications, pricing adjustments, and temporal factors to provide actionable insights rather than surface-level observations.
Advanced Cohort Behavioral Analysis
Implements sophisticated cohort segmentation using multidimensional clustering algorithms to reveal hidden user behavior patterns. Analyzes customer journey progression, feature adoption rates, and engagement evolution across time-based cohorts to identify optimal onboarding sequences, expansion opportunities, and retention strategies tailored to specific user segments.
The Intelligence Behind Industry's Smartest Decisions
Market Insights reports combine your own workspace signals with curated industry research and benchmarks. Automated benchmarking is under active development as the product matures.
The Q3 2025 State of SaaS Churn
Early-access benchmarks (expanding)
A practical analysis of churn patterns and retention strategies, grounded in curated sources and aggregated signals.
- • Industry benchmarks by ARR tier
- • Predictive churn indicators
- • Retention strategy playbook
42 pages • Published Oct 2025
Pricing Strategy & MRR Benchmarks
Revenue Benchmarks
How top-performing SaaS companies structure pricing to maximize MRR. Includes pricing models that drive 120%+ net revenue retention.
- • Optimal pricing tier structures
- • MRR benchmarks by industry
- • Expansion revenue tactics
38 pages • Published Sep 2025
PLG Metrics That Actually Matter
Product-Led Growth
Beyond vanity metrics: The 12 PLG indicators that predict sustainable growth. Based on analysis of 200+ product-led companies.
- • Leading vs. lagging indicators
- • Feature adoption patterns
- • Time-to-value optimization
51 pages • Published Aug 2025