LTV Prediction for Smarter Subscription Growth
Time is money: get accurate LTV predictions to identify high-value users, cut wasted spend, and make faster subscription decisions.

Numbers You Can Trust
Built for subscription apps that need fast, reliable revenue analytics.
$1M+
Tracked revenue11+
Subscription metrics10 min
To first dashboard
Use Predicted LTV to Make Better Growth Bets
See how predicted LTV helps your team make better subscription decisions earlier.
Evaluate cohort quality earlier
Understand which user cohorts are more likely to generate stronger long-term subscription value before actual LTV fully matures.
Optimize subscription plans and pricing
See which subscription plans, paywalls, or pricing changes are more likely to drive higher predicted LTV and sustainable revenue growth.
Identify high-value segments sooner
Use predicted LTV to spot user segments with stronger future revenue potential and focus your efforts where long-term value is highest.
Validate revenue before you scale
Check whether short-term performance translates into lasting subscription revenue before making bigger growth or product decisions
Explore Predicted LTV from Every Angle
Understand payback timing, spot high-value cohorts, and plan growth with confidence using predicted LTV.

Predictions Based on Historical Performance
Build LTV and revenue predictions for 1, 3, 6, or 12 months of historical subscription data. See how trends evolve over time and focus on the periods that matter for your business strategy.

Advanced Filtering and Segmentation
Filter predicted LTV by app, subscription plan, country, or other key attributes. Identify high-value cohorts, uncover hidden trends, and make faster, data-driven growth decisions.
All Your Subscription Economics on a Single Page
No coding required
No complex setup
One unified platform
AI-Powered LTV Prediction Model
Subtica’s AI achieves up to 98% accuracy in predicting LTV using historical subscription data from App Store Connect, helping your team plan campaigns and optimize long-term revenue.

All the Metrics That Matter
See predicted LTV alongside revenue, refunds, ARPU, ARPPU, and other core subscription metrics in one analytics platform.

Built for Teams That Need to Predict User Value Early
Help your team understand predicted customer value.

Marketing & Growth Teams
Use predicted LTV to evaluate growth quality and make scaling decisions earlier.

Product Teams
Evaluate paywalls, pricing, and trials using long-term revenue signals.

Analysts
Understand subscription predicted LTV without coding, spreadsheets, or manual models.
How Subtica’s LTV Prediction Model Works
From raw subscription events to predicted customer lifetime value.
Connect Subscription Data
Subtica pulls subscription data from App Store Connect and processes key lifecycle events.
Analyze Historical Subscription Behavior
AI models evaluate historical subscription performance across different time periods.
Predict Future Customer Value
Subtica turns historical subscription data into predicted LTV for users.
Turn Predictions Into Decisions
Use predicted LTV to compare cohorts, evaluate subscription plans, and validate early revenue signals.
Know Your Forecasts. Then Scale.
Unlock AI-powered LTV forecasts, identify high-value cohorts, and make smarter subscription growth decisions today.
