Using Predictive Analytics for Cross-Sell and Upsell: Lessons from E-Tailers

Posted by Steve Frost on 12/20/16 5:00 AM

The holidays are upon us once again, and along with them, the corresponding annual shopping season. For dads like me with school-aged children, this is also the time of year when I turn to my favorite e-tailers to fulfill our family's wish lists. It's a tough call as to whether I love my children or hate the mall with more fervor, so in our house, “Santazon.com" with “Reindeer Prime" delivery has saved Christmas like the repentant Grinch at the end of the book. I know that it's certainly made me a lot merrier.

As we proceed to checkout with our shopping carts, we notice the e-tailer's recommendation engine making "frequently bought with" suggestions at the bottom of our screens. If I'm buying my 11-year-old son a new PlayStation 4 (Shhh...it's a secret), I have no problem with the e-tailer making the suggestion that he also perhaps could use an extra controller or might enjoy a specific game to go with it. 

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Topics: B2B, sales, data analytics, expand selling, internet of things (IoT), analytics, cross-sell, upsell, recommendation engine, predictive analytics, machine learning

Tips For Optimizing Your Recommendation Engine for Customer Outcomes

Posted by Bryan Girkins on 1/27/15 6:30 AM

In today’s B4B world, meeting business outcomes for the customer is increasingly more important. If suppliers can present valid solutions to the pressing issues facing customers at the right time, then win rates will improve, suppliers’ business will grow, and customers will gain success. Can these offers, or at least the presentation of the offers, be automated? 

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Topics: knowledge management, best practices, customer outcomes, optimization, recommendation engine

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