Case Study: Jordan Craig achieves 99% returning user identification accuracy with Nostra AI

Jordan Craig boosts returning user recognition to ~99% with Nostra

Jordan Craig, a premier fashion brand, faced a significant challenge when Apple's privacy updates broke its cookie-based user tracking. This disruption, handled through its A/B testing platform Intelligems, introduced bias into its tests and threatened millions in potential revenue. The vendor, Nostra AI, provided a solution to this user identification problem.

Nostra AI implemented a server-side persistent identification system to replace the unreliable client-side cookies. This solution boosted returning user recognition accuracy to approximately 99%, eliminated A/B test bias, and protected revenue by ensuring the integrity of data used for critical decision-making.

Jordan Craig