Data Drives Relevance: CNET Intelligent Cross-Sell is Now Powered by RichRelevance

Today we announced a partnership with CNET, the authority on technology and consumer-electronics products. Although most of you have probably used CNET.com for product reviews or tech news, you may not know that CNET also aggregates data on more than five million products: specs, key selling features, compatibilities, and so on. Moreover, a small group in CNET built a unique recommendations technology, Intelligent Cross-Sell, specialized for this type of data. Flying way under the radar, they acquired some major customers and were delivering serious value.

So, when we had the chance to do a deal with CNET, we did. Intelligent Cross-Sell is now part of RichRelevance’s product line, and you’ll see CNET’s data having an impact on our other products as well.

With Intelligent Cross-Sell’s customers, RichRelevance now serves seven of the top ten retail chains as measured by Internet Retailer. And with CNET’s data and technology, we have a personalization turbocharger for e-commerce sites selling tech, consumer electronics, and office products. When you consider that 17 of the Internet Retailer top 20 sell these categories, we are pleased to super-serve them.

We can do so with compatibility data and rules that know which products work together, ready to go for customers from day one. We can automatically explain a recommendation by comparing product attributes—for example, “Bigger screen, higher resolution, only $50 more. ” These and other CNET-enabled capabilities are now available in addition to what our industry-leading products already do.

To boil this down to a final thought, data drives relevance. CNET’s data, and the Intelligent Cross-Sell technology they built on it, adds a new and unique layer to what RichRelevance can do. That’s why this matters. To learn more, see our new CNET Intelligent Cross-Sell Powered by RichRelevance page, or contact us.

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ABOUT THE AUTHOR

David is CEO and founder of RichRelevance. He first garnered international recognition as an expert in the field of eCommerce data analytics and personalization with his groundbreaking work leading the research and development arm of Amazon’s Data Mining and Personalization team. In that role, David increased Amazon’s annual profit by over $50 million (25% of US profit, 2003) setting the industry standard for recommendation services. To view David’s full profile, click here.

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