Case Study: AppLift achieves faster mobile ad analytics and optimization with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the AppLift Case Study

AppLift Optimizing with BigQuery for 300M mobile ad events a day

AppLift, a leading mobile ad tech company based in Germany, faced a challenge with its open-source data analytics system, which struggled to process one million real-time bidding requests per second. The system required constant maintenance and could not deliver the near real-time, granular analytics needed for mobile advertisers to optimize campaigns and detect fraud, hindering business growth.

By moving to Google Cloud Platform and implementing BigQuery alongside Cloud Storage and Data Studio, AppLift created a powerful analytics framework. The solution slashed data matching times from seven hours to minutes, provided deep insights into user behavior, and enabled real-time fraud prevention. Google Cloud's tools gave AppLift's team fast access to data for optimization and freed them from infrastructure maintenance, allowing more time for innovation and new data-driven applications.


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AppLift

Uzi Blum

VP Technology


Google Cloud Platform

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