Case Study: NZME achieves higher audience engagement with Looker

NZME Driving audience engagement through powerful analytics and machine learning

NZME, a media publisher, needed a stronger analytics foundation to improve audience engagement, drive ad impressions, and convert readers into subscribers. With help from Looker and Google Cloud tools including Google Analytics 360 and BigQuery ML, NZME set out to enhance its in-house recommendation engine and make data more accessible across the business.

Looker helped NZME turn data into dashboards and insights for sales, marketing, and other teams, while the company’s Karma recommendation engine used BigQuery ML to personalize content at scale. The results included a 9% lift in average session duration, a 21% improvement in recommendation click-throughs, and millions of additional pageviews per month, with personalized recommendations delivered in about 80 milliseconds and zero downtime across more than one billion recommendations.

NZME

Andy Wylie

Head of Data & Analytics