Skip to content
Login

  • We collect all your app's data

    Our APIs pull data from all service partners

  • We PROCESS & STORE YOUR DATA

    Secure, scalable and cost-effective storage in a private data lake

  • You get easy-to-use analytics

    No-SQL discovery for everyone in your organization

Consolidate your data. Get insights.

Our platform collects all of your app's data, stores it, then gives business users self-service access to answer questions. We make getting access to actionable data easy.

Answer important questions to help your app grow

  • Find your most valuable users

    Easily predict future values (pLTV) of users by their actions, behavior or characteristics.

  • Find your most valuable events

    Determine and compare the pLTV of users as they complete in-app events or actions.

  • Predict long-term campaign earnings

    Use models to predict the long-term outcome to each of your acquisition sources

  • Forecast AB Test Earnings

    No more estimations! Measure the actual revenue earned from AB variants.

  • Learn what drives user-churn

    Find events and actions that lead to users leaving the app.

  • Learn what drives in-app purchases

    Find the events and characteristics of users who make in-app purchases.

How it works

No SDK. Integration is a snap. Get easy reporting for the entire organization.

See all data connections

Customer Use-Cases

  • Using first-day actions to find valuable users

    Mike Newman, creator of Flow Free, found users who complete a puzzle on their first day are worth >20X more than users who don’t.

  • The effect of IDFA opt-ins on user LTVs

    Popular publisher and longtime customer PixelTrend discovered users who opt into ad-tracking are worth 5X more after just 60 days.

  • Predicting user LTV early and accurately

    Random Logic Games increases user predicted lifetime value (pLTV) accuracy and saves time by leveraging Audience Reporting forecasting.

  • Optimizing subscription prices

    Too high and no one buys, too low and you cannibalize revenue. Narwhal for Reddit shares how measuring pLTV of users helps find the optimal cost for subscription pricing.

  • Improving User Retention

    Winner of Apple’s prestigious Best App of 2019, FlipaClip, found users who complete an onboarding tutorial stay in the app longer and are worth 2X more than those who skip.

  • Optimizing for opt-ins doubles revenue

    Simply increasing encouragement for tracking opt-ins has doubled revenue and increased retention for PixelTrend apps.

More Case Studies

Frequently Asked Questions

How does it work?

The AdLibertas platform combines data generated from your app service providers to give you centralized, actionable answers on user performance by user action, acquisition source, or other characteristic. We connect via APIs so no specialized integration or SDKs are necessary — most customers can get started with no engineering resources! For more information, see our onboarding tutorial.

What do I need to get started?

For most app developers there is no SDK needed! We only collect credentials to consolidate and store analytics and revenue data. For more integration information see our onboarding tutorial.

How much does it cost?

Platform cost depends on your usage and data-volume. We do offer a free 14 day trial. For details please contact us to get a quote.

How do you measure revenue?

To ensure accuracy we capture actual revenue events. For ad-revenue we collect impression level reporting, for in-app purchase and subscription revenue we collect device-events and validate them with the app stores. For more information see details on integration of our Revenue Connections.

How do you get user events?

We collect user-events directly from your analytics provider — no additional SDK needed. To see how it works, see documentation on how to integrate Analytics Connections.

How do you manage privacy/security?

AdLibertas takes user and client privacy very seriously. As such we have strict policies and technologies in place to adhere to global regulations as well as secure app developer private and sensitive information. Read more in our documentation.