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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.

LTV prediction dashboard for iOS subscription apps showing predicted customer lifetime valuebackground

Numbers You Can Trust

Built for subscription apps that need fast, reliable revenue analytics.

$1M+

Tracked revenue

11+

Subscription metrics

10 min

To first dashboard
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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

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Explore Predicted LTV from Every Angle

Understand payback timing, spot high-value cohorts, and plan growth with confidence using predicted LTV.

Historical subscription data used for LTV prediction

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.

Predicted LTV filtering dashboard with subscription plan, country for advanced subscription analytics

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.

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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.

AI-powered LTV prediction model for subscription apps showing accurate customer lifetime valuebackground

All the Metrics That Matter

See predicted LTV alongside revenue, refunds, ARPU, ARPPU, and other core subscription metrics in one analytics platform.

subscription analytics dashboard combining predicted LTV, revenue, refunds, ARPU, ARPPU metricsbackground

Built for Teams That Need to Predict User Value Early

Help your team understand predicted customer value.

marketing growth dashboard using predicted LTV

Marketing & Growth Teams

Use predicted LTV to evaluate growth quality and make scaling decisions earlier.

product analytics dashboard using predicted LTV

Product Teams

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

subscription analyst dashboard using predicted LTV

Analysts

Understand subscription predicted LTV without coding, spreadsheets, or manual models.

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How Subtica’s LTV Prediction Model Works

From raw subscription events to predicted customer lifetime value.

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Connect Subscription Data

Subtica pulls subscription data from App Store Connect and processes key lifecycle events.

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Analyze Historical Subscription Behavior

AI models evaluate historical subscription performance across different time periods.

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Predict Future Customer Value

Subtica turns historical subscription data into predicted LTV for users.

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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.

AI-powered LTV forecast dashboard
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FAQ – Learn More About LTV Prediction

What is LTV prediction?

How is Subtica different from generic LTV models?

What is a healthy LTV for subscription apps?

What data does Subtica use for LTV predictions?

How accurate are Subtica’s LTV predictions?

How can predicted LTV help my team?