Case Study: ILIA builds a 55K product waitlist with Octane AI quizzes

ILIA builds a 55K-shopper waitlist with Octane AI

ILIA Beauty, a 9-figure clean beauty brand, faced challenges with its original custom-built Shade Finder quiz. The quiz lacked the logic for hyper-personalized recommendations, had limited integrations with their marketing tech, and required heavy developer resources for manual maintenance and reporting. This created a barrier for customers who needed a more consultative experience to confidently find their perfect product shades.

Partnering with Octane AI, ILIA implemented a new suite of quizzes featuring intense mapping logic for superior shade matching and personalized product recommendations. The solution included a teaser quiz for a new product launch that built a waitlist of 55,000 shoppers. The results included a higher average order value for quiz takers, significant time savings from easier reporting, and the ability to deliver better personalization using the collected zero-party data. Octane AI's seamless integrations were key to this success.

ILIA