We are excited to introduce a new feature that is set to redefine the way you create and deliver recommendations to your users. Say hello to "Item context from analytics" a powerful addition to our recommendation engine that opens up a world of possibilities for personalization and customization.
This addition empowers you to effortlessly specify which elements should serve as context for a particular campaign without the hassle of altering your website or delving into complex jinjava scripting. Instead, you can harness the power of our analytics to do the heavy lifting for you.
Understanding users' preferences and behaviors is key to delivering recommendations that truly resonate with them. Item Context takes personalization to the next level by allowing you to add context to different types of recommendations. This means even more tailored product suggestions, ultimately leading to higher user engagement and conversion rates.
The process couldn't be simpler. In the Additional Settings of Synerise Recommendations, you can now enable a toggle for Item Context from Analytics. This empowers you to enrich your recommendations with the specific product context you've defined – whether by aggregate or expression.
Item Context enhances your workflow by eliminating the need to include product context in complex campaign configurations. Now, you can seamlessly add context directly from each recommendation you create without having to modify campaign code.
Now, let's explore a few real-world scenarios to showcase the potential of this new feature.
Check out our use case which shows a sample scenario for using item context in Similar Recommendations.
Recommending similar products to recently added to favourites
Discover the potential of analytics-powered contextual recommendations for your campaigns!