Personalize your entire site
Product recommendations on product details pages are only the beginning. Our system knows how to deliver over 20 types of personalized product recommendations across different page types. Top sellers, recommendations based on search engine keywords, similar items, cross-sell and up-sell can be presented on category, search results, shopping cart, product and even the homepage. With our zero integration technology personalized product recommendations can be automatically injected to the entire site without any resources from your IT/Design team.
We will customize the product recommendations to match your website's look & feel including colors, layout and more. Below are some examples of Barilliance recommendations integrated in customers' websites:
Zero integration effort
Instead of sending the same emails to all customers, use our email personalization service to send customers personalized product offers based on their favorite categories or brands, items they purchased, viewed, abandoned in their shopping cart and more.
Thanks to our advanced Zero Integration technology, our costs of adding customers and supporting them are much lower than any competitor. Therefore we can offer the service at a very affordable price, which is marginal compared to the expected increase in revenues.
Advanced product recommendations algorithms
The product recommendation system keeps track of every activity shoppers perform on your site - from the products they looked at, added to cart and purchased, to their favorite categories. It gathers this individualized information over time and builds a rich consumer profile. This profile combined with other shoppers' activity is the basis for the product recommendations that are presented to shoppers.
Our system responds to shoppers' activity in real time. For example if a shopper lands on the site's electronics category we would display top items in that category. However if the shopper will look at digital cameras and will come back to the category page, we will present relevant digital cameras as opposed to general top sellers.
The product recommendation system is also semantically aware and understands the specific semantics of your site. For example, if a shopper is looking often at discounted products or the promotions category the recommendation system will label the shopper as price sensitive. This information will be used by the product recommendations engine to promote similar products at the same price point.