Keep churn rate low. And ARPU high.
From mobile app attribution, to in-app events tracking and advertising data, mobile app publishers have a vast amount of disparate data sources to consolidate and analyze. We can lend a hand.
We help companies gain a numerical understanding of their app users: retention, DAU, ARPU and in-app purchase behavior
App Store Analytics
We write automated NLU (natural language understanding) programs to help you distill millions of user reviews into an actionable priority list
User Acquisition Analytics
We help you make the best out of data from your marketing attribution tools such as AppsFlyer, Adjust, Facebook and other tracking SDKs
Data-enabled Mobile App Publishing
Our analysts and developers help you reconcile data from multiple SDKs and tracking services; Together we map these data to IAP planning, retention rate optimization, LTV forecasting, features roadmap planning, and your user acquisition strategy.
Automated App Store Analytics
Receive a programmatically generated report using data from Google Play Store reviews, in minutes.
Embedded Demo: Try it yourself
Use our report generator to build a tailored report (PDF) for your Android app:
Read about our processes
Data Science for Mobile Apps & Mobile Advertisers
How Supertype’s data scientist help a digital advertising client increase response rate by more than 20% (a workflow recap)
Supertype’s data scientists and Creadits combined to produce advertising creatives that are 40% more performant, powered by data
Working with app review analytics: the data science methodologies, tools and problem-solving frameworks you need to make sense of customer reviews
Multiple approaches to dimensionality reduction for pattern discovery, visualization and drawing decision boundaries (PCA, FAMD, PCAmix)