Case Study: Leading TV Data Company improves QSR audience targeting insights with Quantiphi

Analyze the characteristics and patterns of people walking into QSR (Quick Service Restaurents)

Quantiphi worked with a Leading TV Data Company that helps media agencies identify similar audiences based on TV viewing behavior. The customer wanted to understand the behavioral patterns of people walking into quick service restaurants and how those patterns related to TV watching behavior, while also dealing with large, real-time, multi-source data that varied in granularity.

Quantiphi implemented a solution using Google Cloud Storage, Google Compute Engine, BigQuery, clustering, hypothesis testing, and Tableau to condense and analyze the data. Quantiphi delivered insightful viewership patterns that helped the customer define target audiences for QSR campaigns, though the case study does not provide a specific numeric impact.