JOCKEY INCREASES RETURN ON AD SPEND THROUGH PREDICTIVE AUDIENCES WITH BLUECORE ADVERTISETM AND CRITEOKEY TAKEAWAYS Jockey Case Study | Key Takeaways | 1 Improve intelligence to get shoppers confidently buying time and again Tap into pre-built predictive models based on retail-specific AI to get highly personalized in targeting customers on paid media channels, resulting in contextually relevant and timely experiences that keep shoppers engaging time and again. Increase return on ad spend (RoAS) 37% to increase efficiency of marketing spend Allocate spend to paid media campaigns based on predicted customer lifetime value and likelihood to buy to grow sales revenue while simultaneously lowering spend per campaign to help Jockey’s marketing dollars go further. Introduce the abil

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