Use Cases

Portfolio LTV analysis is the secret sauce to reducing your CPI. If you have more than one mobile app, leveraging cross-promo campaigns and calculating Portfolio LTV can be a game changer. 

 Learn how to utilize Google Analytics data synced through Firebase

Learn how creative and site level data can be visualized in Data studio and how different metrics can help analyze performance

Get an accurate overview of your ROI, by learning the differences between tracked, reported and SKAdNetwork installs

Get access to a Tableau dashboard view with user LTV data from Tenjin and Tradplus

Get access to an anonymized Data Studio dashboard with all your metrics (ULRD LTV, ROAS, installs, spend) at different levels of granularity

Predict D7 to D90 LTV accurately in 12 seconds. No code. For Ad Revenue Apps.

Predict D7 to D90 LTV using LTV data from your current campaign in 280 seconds.

Learn how to build an informative BI dashboard in Metabase (No SQL).

Organic uplift is a key metric in user-acquisition. Here’s how to calculate it.

Which source has the best player behavior?

Measure SKAdnetwork metrics for iOS 15 campaigns

Pull Tenjin’s calculated metrics (DAU, Publisher Ad Revenue..) with a simple query into your current dashboard

With this Tableau dashboard, you can share metrics of specific apps and sources with your partners.

Google Data Studio dashboard showing cohort data from Applovin & Tenjin to understand how much revenue apps generate after an install

Use Google Data Studio dashboards to view your AppLovin advertiser, publisher and ROI metrics.

Google Data Studio dashboard showing cohort data from ironSource & Tenjin to understand how much revenue apps generate after an install

Google Data Studio dashboard showing your ironSource ROI at a site ID or country level granularity.

Google Data Studio dashboard showing ironSource ULRD

Multi-claim install analysis

This training shows the difference in retention numbers when using Absolute vs. Relative methods.