Personalized Content with Dynamic Yield
Today's consumers (end-users) are looking for a personalized encounter on the 'Net and digital publishers are increasingly focused on providing an optimal experience and are actively integrating solutions to make it happen.
Real-time content optimization engine Dynamic Yield for example, has released a new solution that will provide online publishers an opportunity to provide their website visitors such a personalized experience around news content.
Dynamic Yield’s algorithms analyze each and every user’s behavior and interests and builds a unique persona for them in real time, resulting in a personalized web experience tailored to each user's needs regardless of how they got there or what they want when they arrive.
Publishers using the service will also be able to test various factors that might impact the spread or distribution of editorial content including headlines, photos, location, etc. Automating the A/B testing process could result in a boost in engagement,
“Even though we all know that every reader is different, we've grown accustomed to accepting a one-size-fits all approach to news consumption. Our solution allows publishers to move beyond this dated perspective and to personalize news for every reader, allowing for a more enjoyable and tailored experience,” said Liad Agmon, CEO of Dynamic Yield. “We focus on helping publishers significantly increase engagement and retention by giving every user their own personalized news site.”