Capture your user interests.
Display individually relevant content.
Automatically geocode your users and serve the best content accordingly.
Use behavioural profiles to improve the content you recommend to customers.
Use your customer data to improve content recommendations further.
Sajari offers several Personalization pipelines out-of-the-box that are easy to implement. You can also experiment and customize these to create even more powerful recommendations.
The chart displayed above shows analytics for search and several different recommendation types. This example performed particularly well as location scaling was used to favor personalizations closer to the user's geolocation.
We have experience tuning recommendations to work with geolocation, time, price, categories and many other attributes. You can continually refine your data and recommendations accordingly - all from the one index.
Personalize areas of your website to display tailored content or products to customers based on their viewing history, user profile, locality, and other contextual data.
As visitors browse your site and interact with your content, Sajari builds a contextual profile of each visitor. This profile data can then be used to enhance search queries and content recommendations.
As visitors view your content and interact with search results and recommendations, Sajari learns and improves.
Increasing engagement is key to improving conversion and growth. Fashion websites can easily segment males and females so that they see appropriate content. Newspapers can recommend sports articles to those who only ever read the sports section. Travel sites can recommend popular holidays based on a user’s city. The options are limitless.
Does your website react to your customers? Sajari can automate the display of articles, products, and content so that you can be reactive to your customers and offer the best possible user experience.