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Cognilyze
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Psychology-based e-commerce product recommendation. Our system knows why customers buy, so you can sell more.
Psychology-based e-commerce product recommendation. Our system knows why customers buy, so you can sell more.

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PsychSearch - How @Cognilyze adds psychology to product search at online stores https://goo.gl/Jq6LH9
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Forget "people who bought this also bought that" now sites can tell you why you want what they recommend https://goo.gl/teYhq2
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The Cognilyze psychology-based product recommendation engine has served its 10 millionth product recommendation http://cognilyze.blogspot.com/2016/09/cognilyze-engine-serves-its-10.html
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Cognilyze will be attending the IRCE in Chicago next week.

This will be our 1st time attending and we are so
excited to find out why this is The Retail Industry’s
Leading E-Commerce Conference & Tradeshow

Email ari@cognilyze.com to schedule a short
meeting with us and learn about our unique

Psychology Based Personalization Tool
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Psychology-based big data: +Cognilyze founders will be in Silicon Valley, London, Liverpool and Frankfurt over the next few weeks. Want to learn more about our product recommendation and customer profiling engine? Message to set up a meeting.
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Cognilyze will be in Silicon Valley for the Israel Dealmakers Summit, March 28 to April 3, to talk about our psychology-based product recommendation and customer profiling engine. We're happy to meet with e-commerce companies or investors and tell you more. Interested? Message us to schedule a meeting. http://www.cognilyze.com 
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Want to hear more about Cognilyze's unique psychology-based product recommendation and personalization? Going to NRF? Message us now to schedule a meeting with Cognilyze CMO Ari Ginsberg at the conference. He will also be in several cities around the USA during the week after the show. Message us now and we'll call you back to schedule. Enjoy NRF!
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Fascinating new research from the Wharton School and CMU on today's product recommendation systems: (a) they don't really promote the long tail, (b) long tail recommendations are more powerful, and (c) they are more effective for "sensory" products (eg jewelry) than "functional" products like appliances. Cognilyze's psychology based product recommendation engine EXACTLY answers these gaps in today's product recommendation. Check out +Cognilyze for details.
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