February 19 - 22, 2019
JW Marriott, Palm Springs, CA
VP, US Operations
Online marketers are hyper aware that ad-block popularity is growing. Users are bombarded with thousands of ads every day, both offline and online. The key problem is that most of them are irrelevant to their needs. In a recent Janrain & Harris Interactive report, 74% of online consumers become frustrated by content that is irrelevant to their needs on a website. Infosys also found that 86% of consumers say personalization plays a role in their purchasing decisions.
With an increasing volume of customer data at retailers’ fingertips, technology is needed to predict a customer’s next move and deliver personalized advertising message. AI and deep learning are rising to front to deliver incredibly targeted content, relevant to each user’s needs, behaviors and browsing history. In-depth analysis is done by deep learning algorithms within milliseconds, which allows personalized offers to appear instantly tailored for each user. The end result is that campaigns delivers only relevant recommendations, which helps sales and most importantly - makes the experience less frustrating for the user. RTB House data shows that after implementing deep learning into recommendation mechanisms, users clicked on ads up to 41% more than usual.
This presentation will explore:
• How using ultra-personalization strengthens the brand’s relationship with its consumers and accelerates retailers sales, improves conversion rates and increases revenue
• How deep learning AI is enabling ultra-personalization and how this will impact online retail
• A look at the AI technology being utilized in online retail