The science of producing predictions about what content people want to see next is based on lots of data. For example, things that are particularly interesting to a recommendation engine are items that have been seen in conjunction with other items, things downloaded in the same session, and content browsed before and after a purchase, to name a few. These relationships are known to the engine as interesting, because algorithms have been designed to look for them.
On July 7, 2018 in an exclusive story "AVARI launches predictive email marketing solutions marketers can actually use," Jon Cifuentes of VentureBeat announced the commercial release of AVARI's Next Best Content,TM a new predictive content targeting solution for content marketers and brand publishers to deliver individually relevant and continuously optimized emails.
[NEWS RELEASE] – BERLIN, July 7, 2018. We're pleased to announce the launch of a first-of-its-kind technology that allows brand publishers and content marketers to easily inject individually relevant marketing materials into any email campaign. AVARI is positioned at the crossroads of the top three commercially important digital marketing trends of 2018 – content marketing, big data and marketing automation – and we’re bringing an innovative approach to personalization in email.
Brand marketers create and publish content to attract more business. Their values, features, services, community and other facets are shared through a variety of multimedia stories intended to capture attention and drive website visitors. Once a visitor arrives, their journey through a website produces rich indicators of intention. Understanding a visitor’s intent more accurately allows a brand to personalize their experience at various meaningful touchpoints.
