Case Study: UK Tourism Site achieves 20% more recommendation interactions with iCrossing’s BigQuery personalization

UK Tourism Site lifts recommendation interactions 20% with iCrossing

The UK Tourism Site faced the challenge of increasing digital engagement for its diverse visitors. Its manual process for curating related content was slow and static, unable to match real-time visitor interests. Although it used GA4 and BigQuery, this first-party data was not being activated for personalization. iCrossing was engaged to build a solution to deploy real-time personalization that improved engagement.

iCrossing built a real-time recommendation engine powered by collaborative filtering on the client's existing BigQuery infrastructure, using GA4 data to predict user preferences. This solution lifted recommendation interactions by 20% and increased product views from returning users by 67%. The engine was also successfully expanded to personalize editorial content, demonstrating its scalability.