Case Study: Adlucent achieves faster data processing and more accurate predictive insights with Looker

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

Adlucent, a performance marketing agency, needed a faster way to process massive client datasets and turn them into proactive business decisions. To support this, Adlucent worked with Looker alongside Google Cloud tools like BigQuery and Vertex AI to unify data from multiple systems and make insights easier for teams and clients to use.

Looker helped Adlucent centralize reporting and analytics so the company could deliver more timely, data-driven recommendations. The impact was significant: daily page-view reports dropped from 26 hours to less than three hours, Vertex AI-powered churn models reached more than 90% accuracy, and Adlucent could train models on more than 500 million rows of data much faster than before.

Adlucent

Blair Mundy

Cloud Solutions Architect