by Angela Guess

According to a new press release, “Maropost, a Canadian software company that provides email and marketing solutions, announced today the successful culmination of their machine learning research. The proprietary machine learning technology will be used to power product and content recommendations, bringing personalization to new heights. ‘We’ve always offered the most comprehensive tracking and analytics features in the industry,’ says Ross Andrew Paquette, CEO and Chairman of Maropost. ‘But our clients can sometimes be overwhelmed by all that data. Our new machine learning technology translates that insight into direct action’.”

The release goes on, “Maropost’s flagship product, the Marketing Cloud, can track user actions, habits, and behavior across all channels and aggregate that into a unique user profile. Maropost’s machine learning algorithm will then leverage the unique user profile to determine the most relevant recommendations for that individual. The implications for ecommerce and publishing companies are particularly huge. Product recommendations can be inserted into emails and other communications based on the recipient’s past purchases and viewing habits. Content can also be individually tailored based on the recipient’s reading preferences and history. All communications can be scheduled based off the recipient’s past behavior and engagement levels to maximize open and conversion rates. Maropost counts some of the world’s largest ecommerce and publishing companies among its customers, including Shop.com, News Corp., and Wenner Media.”

Read more at Marketwired.

Photo credit: Maropost