AI in Marketing Archives : Page 5 of 5 : Blueshift

Personalization Will Make or Break Holiday Season Campaigns

Customers demand respect from retailers. They ask simply for organizations to remember who they are as an individual consumer from a transaction and a behavioral perspective -- otherwise, they are likely to purchase less frequently, or,…

Obama on Technology, AI and an Optimistic Future

AI in Marketing

"This year, Artificial Intelligence will become more than just a computer science problem. Everybody need to understand how A.I. behaves." Recent advances in computer science and AI (more specifically advances in building and running…

Personalization Pitfall #2: Old-School Linear Customer Journey

AI in Marketing

Marketers rely on customer journey mapping to optimize what customers see every step of the way. But with the rise of multiple devices and the perpetually connected customer (a.k.a “perpetuals”), it is becoming harder for marketers to define…

Personalization Pitfall 1: Outdated messages

Common Problems Faced when Scaling Personalization – Part 1

AI in Marketing

In this series, we cover the common pitfalls all marketers face at some point when scaling personalization in their triggered marketing. From emails to mobile push notifications to SMS to display retargeting, the common platforms used today…

3 Tips To Avoid #Personalization #Fail

AI in Marketing

Marketing personalization holds the promise of delighting your users, and drive dramatically higher conversions. However, poorly executed personalization can sometimes lead to what can only be described as #personalization #fail. How can marketers…

The Case For Predictive Segmentation – Part 1 of 2

AI in Marketing

Retention & Growth marketers are often interested in taking action on a segmented base of users. Classic segmentation methods include Lifecycle based segments: new, active, lapsed etc. Behavioral segments based on user behavior…