Advertisers are looking for ways to economically use third-party audience segments for customer acquisition rather than audience buying based on intuition. To date, this has not been effective because of the incremental cost of buying audience segments. This talk discusses the Open AI for Advertisers algorithm, which is a scalable, ROI positive third-party audience discovery algorithm that improves the customer acquisition effectiveness by more than 30%. The talk provides an insight into our experiences when designing this algorithm, and how AI helped us solve a classic advertising problem.
Saket holds a Ph.D. in text mining from Illinois Institute of Technology, Chicago. He has worked in a variety of fields including text classification, information retrieval, large-scale machine learning and linear optimization. He currently works as Senior Principal Data Scientist... Read More →
Tuesday October 16, 2018 10:00am - 10:10am EDT
Horace Mann
I'm a Data Science Manager at Wayfair leading our Product Recommendations team. Our job is to leverage customer behavior and product information to create a curated, personalized experience for each user on site.
Tuesday October 16, 2018 10:10am - 10:20am EDT
Horace Mann
