Case Study: Adlucent achieves faster data processing and more accurate predictive analytics with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Adlucent Case Study

Adlucent Using AI to uncover new marketing insights from big data to better support clients

Adlucent, a performance marketing agency in the United States, needed a faster, more scalable way to process massive client datasets and help customers make proactive, data-driven marketing decisions. It turned to Google Cloud Platform, using BigQuery and Vertex AI to unify information from CRM, ecommerce, and analytics systems and support larger data science and machine learning workflows.

Google Cloud Platform helped Adlucent cut daily report processing time from 26 hours to less than three hours and train models on more than 500 million rows of data. The company also improved churn prediction accuracy to over 90% and used the platform to launch new proprietary analytics capabilities, including Adlucent Index™.


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Adlucent

Kelly Weeks

Director of Analytics


Google Cloud Platform

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