In this episode of Total Retail Tech Insights, Editor-in-Chief Joe Keenan interviews Jay Hinman, vice president of marketing at Lily AI, the product attribution management platform for e-commerce retailers. Listen in as Hinman discusses Lily AI's technology solutions for retailers (0:58), his professional background in marketing (2:24), and the challenges that retailers face in delivering great site search experience, a subject addressed in Total Retail and Lily AI's recent research report, "Searching for Higher On-Site Conversion Rates? Why AI and Predictive Intelligence is the Answer Retailers Are Looking For" (4:18).
Furthermore, Hinman shares the impact that poor product attribution can have on a retail business (6:45), how when improved it can lead to more full margin sales and accurate demand forecasting (8:59), and the technology powering Lily AI's solutions (10:10). He also discusses how Lily AI customers have used enriched product data to drive better outcomes (14:13), and the primary business benefits that retailers can realize from providing a personalized site search experience (17:30). Lastly, Hinman shares the industry trends that he believes will have the biggest impact on retailers' businesses as the holiday season approaches (19:11), and how retailers can learn more about Lily AI (21:23).
Download Total Retail and Lily AI's recent research report, "Searching for Higher On-Site Conversion Rates? Why AI and Predictive Intelligence is the Answer Retailers Are Looking For," here.
Jay Hinman is the vice president of marketing at Lily AI. He's a longtime B-to-B marketing leader with specialties in demand generation, corporate marketing and product marketing, and extensive, cross-discipline team leadership experience both in small startup and large technology companies. He’s led marketing at Opera Software, MobiTV and Neumob (acquired by Cloudflare), among others, and lives and works in San Francisco.