Personalized Recomondations

What it does:
Our recommendation engine provides personalized content to each user. The software analyzes user inputs to capture tastes which serve as the basis of product and content recommendations.

What's the ROI?

Customer Retention and Loyalty:
A enormous challenge on the web is finding the right content. We have designed a solution to recreate the experience of going into a store where the owner knows your tastes and guides you straight to new products you love. People appreciate personalized service and return to locations where it is offered.

Increase in Revenue:
Products are recommended on a user's home page, while browsing, and at checkout. As a result, shoppers discover new products throughout the shopping experience increasing the likelihood of additional purchases.

Average Transaction Value Increases:
Shoppers often come to a site searching for a particular item. Items appealing to the users' tastes are displayed throughout the site, and the shoppers discover and purchase new products in addition to the items they intended to purchase.

Features

As a web-based service, we are always building valuable features. We plan to push out a new release every 6 weeks with the features our customers suggest and rate. If you're not yet a customer but have a feature you would like to see implemented, please send us a note. A few of our current features include:

Real-Time Automated Updates:
Forrester Research found that 77% of retailers implemented cross-sells manually in their catalog. Our system updates user profiles and the associated recommendations every time he or she visits the site eliminating the need for manual cross-sell pairings.

Integration with E-mail Marketing Systems:
A true one-to-one experience can be achieved by integrating our personalized recommendations with third party e-mail systems. Rather than mass marketing, each e-mail contains recommended products catered to each user providing a campaign with unparalleled conversion rates.

Flexibility:
The recommendation algorithm was designed to incorporate nuances of each of our customers. We can quickly adjust settings to account for incompatible product pairings or to promote overstocked items.