Product recommendations boost average order size by suggesting items customers want. A self-improving recommendation engine considers pageviews, clicks, items in cart and more. Tailored recommendations are generated through content analysis, collaborative filtering, and based on business logic
Alexandria, VA, June 25, 2015 (Newswire.com) - Softcube is an Ecommerce product recommendations engine that offers widgets to increase Eshop sales and conversions. Personalized product recommendation blocks display products from an Ecommerce shop’s merchandise. Tailored recommendations increase KPIs like conversion rate, average order, and CTR, and boost customer satisfaction.
Softcube’s recommendation engine determines what products should be featured using an approach called collaborative filtering. This approach recognizes that customer’s interests can often be correlated with the interests of other similar customers. Understanding customer preferences means taking into account all website interactions, including every click and page view. This typically requires massive computing capacity: at least it did before Softcube.
Softcube has announced realtime collaborative filtering solutions for Ecommerce. In layman’s terms this means that Ecommerce shops of any size in any market, operating in any language can access proven technology that allows product recommendations to be updated based on the latest click.
How does Softcube work? As customers browse an Eshop, Softcube analyzes all site interactions and figures out what types of products sizes, styles, colors the customer is interested in. As this happens, recommended products change from generic bestsellers to products that are genuinely of interest to the customer.