Case Study: JB Hi-Fi achieves higher product recommendation revenue with Looker

Increasing revenue and improving the relevance of recommended products with Recommendations AI

JB Hi-Fi, the Australian electronics retailer, wanted to bring the same personalized, knowledgeable product guidance from its stores to its website. Its manual recommendation process could only cover a small fraction of its 50,000+ products, so JB Hi-Fi needed a better way to deliver timely, relevant recommendations online. The company evaluated personalization tools and used Looker to help analyze performance alongside its broader Google Cloud testing setup.

JB Hi-Fi implemented Google Cloud recommendations and testing workflows, with analytics data flowing into BigQuery and visualized in Looker Studio to measure impact. This allowed JB Hi-Fi and Looker-based reporting to track which recommendation approaches increased engagement and revenue, and A/B testing showed higher average transaction value when recommended products were displayed. The result was improved recommendation quality across the website and measurable gains in ATV and monthly revenue from recommended products.

JB Hi-Fi

Gary Siewert

Marketing Director