by Angela Guess

According to a new press release, “BlueConic, the world’s simplest and most accessible customer data platform (CDP), announces the BlueConic Recommendations Engine, a new feature enabling marketers to automatically deliver truly one-to-one content and product recommendations in real time to visitors. Companies of all sizes can benefit from this capability — increasing engagement with their brands and delivering information that interests users to drive purchasing decisions. Many brands are investing in tools to drive personalized information to users, yet those efforts often fall short. Typical recommendations are based on content or products that received the highest clicks from all traffic or very large segments of users, rather than individual interests.”

The release goes on, “Using machine learning and proprietary algorithms, the BlueConic Recommendations Engine combines individual user profile data with key attributes and metrics to deliver recommendations that are aligned with individual user behaviors and preferences. Customers have seen between 30 and 50 percent higher click-through-rates compared with existing recommendations tools. BlueConic uses Apache Spark big data processing technology to handle the high-volume machine learning tasks required for real-time recommendations.”

It goes on, “Technical benefits of the BlueConic Recommendation Engine include: Automatic collection of all profile, content and statistics data through a few clicks to install the BlueConic tag, with no configurations needed by IT; A scalable recommendation engine that works for both small and large companies hosting extremely high online traffic volumes; A pluggable, extensible set of algorithms that can grow in the future; A recommendation delivery engine that doesn’t require its own real estate and instead can be placed in any position or format on your website; Recommendations that can be used across channels and devices.”

Read more at Business Wire.

Photo credit: BlueConic