At the Digiday Publishing Summit, Lyris announced the release of Lyris Predictive Personalization, the first intelligent content engine for publishers that combines machine learning with digital messaging automation to deliver contextually personalized content to individual subscribers. By effectively combining content with audience demographic and behavioral data, Lyris Predictive Personalization increases conversions and advertising revenue by empowering publishers to maximize engagement.
Subscribers have an abundance of options and capturing their interest is increasingly difficult. Lyris Predictive Personalization applies real-time machine learning to automatically generate meaningful content recommendations based on behavior, trending topics and semantic analysis.
“Delivering meaningful content at scale across digital channels requires intelligent automation,” said Sylvia Sierra, SVP customer acquisition and retention at Access Intelligence. “Lyris Predictive Personalization is designed to take advantage of everything a publisher knows about its audience, augment it with real-time interactions and automatically assemble and deliver the most appropriate messages to subscribers across their preferred digital channels. This is key for driving engagement and ultimately more revenue.”
By automating the assembly and delivery of individually tailored messages that includes any type and quantity of published material, Lyris Predictive Personalization streamlines campaign execution and reduces message creation and curation time. This results in value-based subscriber relationships that generate more ad revenue and conversions and significantly reduces subscriber churn.
“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.”
Lyris Predictive Personalization is delivered on Lyris’ powerful Audience Messaging Platform, used by some of the world’s largest publishing, media, and entertainment companies including Access Intelligence, Advanstar, NPR, Thomson Reuters and others. The Lyris Audience Messaging Platform combines applications to automate customer engagement with an open platform that integrates digital messaging with publishers’ unique set of interactive content, data, applications and workflows so that they can consistently and effectively connect with their audiences in a personalized way.