CleverSet Recommendations Technology Helps Drive RecordBreaking Online Retail Season



CleverSet, the leading provider of merchandise recommendations services, today announced that it has helped customers such as Awinestore.com Alpineer.com and 80sTees achieve record-breaking online retail results this holiday season, with increases in per-user revenue of 10-20% per visit.

CleverSet'ss clients enjoy larger revenue lift and return on investment than with any other in-house or third-party recommendations solution available today. CleverSet'ss proprietary technology service allows online retailers to entice online shoppers with relevant and appealing items they might not have otherwise seen, creating a more personal shopping experience and resulting in revenue lift per user per session of up to 20% or more.

The holiday season is critical to our business, and CleverSet'ss online recommendations service played a major role in our success this year, said Ryan Allison, founder of Awinestore.com. CleverSet technology was simple to implement and began delivering relevant recommendations immediately.

Companies spend significant marketing dollars to drive shoppers to their sites through paid search and other marketing activities - they are now looking for ways to convert that traffic into sales, said Todd Humphrey, chief executive officer of CleverSet. CleverSet clients fully leverage their investment in marketing by ensuring that once shoppers get to their site, the online experience offers every possible opportunity for product discovery and purchase.

Breakthrough Technology Offers Relevant Recommendations, Immediate ROI

Merchandise recommendations technology has proven effective in increasing online shopping conversion rates and boosting per-user spend. However, until now, merchandise recommendations and personalization solutions have been expensive and time-consuming to build, deploy, and maintain and require extensive data collection in order to be moderately effective. As a result, although many online retailers and e-commerce companies have invested in deploying this type of functionality, they have not yet maximized their online sales through recommendations.

Now, with CleverSet'ss recommendations technology, online retailers of any size can immediately improve their revenue by using sophisticated merchandise recommendations to offer customers a more relevant shopping experience. CleverSet'ss easy-to-deploy technology can be operational within hours and delivers results immediately.

While other recommendations solutions use collaborative filtering of historical data to generate recommendations, CleverSet'ss powerful analytical platform uses statistical and relational models that incorporate data from multiple sources, including clickstream data, stored customer information and purchase history, to generate highly relevant merchandise recommendations throughout the shopping session. The net result is that CleverSet'ss clients enjoy larger revenue lift and return on investment than with any other in-house or third-party recommendations solution available today.

About CleverSet

CleverSet is a technology services company that helps e-commerce sites increase their revenues by supplying merchandise recommendations to their customers. CleverSet'ss recommendations service helps websites entice online shoppers with relevant and personally appealing items they might not have otherwise seen, improving their shopping and buying experience and motivating them to purchase more products. CleverSet'ss easy-to-deploy technology can be operational within hours and delivers results immediately. CleverSet currently powers merchandise recommendations for more than 60 e-commerce companies, including Alpineer.com Paradise Pen Company, Awinestore.com Denverfabrics.com and 80sTees. CleverSet is located in Seattle, Washington, and Corvallis, Oregon. For more information about CleverSet, please visit http://www.cleverset.com or call 1-206-965-8735.





CleverSet Recommendations Technology Helps Drive RecordBreaking Online Retail Season





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