Finally; An Intelligent Content Engine for Publishers

Today's digital media landscape makes capturing the attention and interest of end-users a difficult task. Thanks to personalization (and the tactics and the technologies that support it) however, it's becoming more accessible than ever before. 

Lyris, for example, recently announced the release of its new Lyris Predictive Personalization solution, an "intelligent" content engine for publishers that combines machine learning with digital messaging automation to deliver contextually personalized content to subscribers.  By automating the assembly and delivery of individually tailored messages (combining content with audience demographic and behavioral data in the process and in effect predicting the interests and intent of each audience memeber), the solution, according to Lyris, should help publishers streamline campaign execution and reduces message creation and curation time. This ultimately could result in an increase of conversions, additional ad revenue, reduced churn, and greater engagement on the whole.

"Scaling personalization up seems to contradict the very definition of the word, and in truth, no one is going to write one million unique emails, not in this lifetime," said Akin Arikan, senior director of product marketing at Lyris. "Lyris Predictive Personalization makes sending one million individually personalized emails as easy as sending one. Lyris now lets publishers send personalized messages based on real-time data when each individual user is most likely to engage with it."