Cross-Sell / Up-Sell Modeling
Applying Business Analytics Webinar Series

Selling more to your existing customers not only increases the likelihood of a satisfied customer, but it also increases value.

Picture this familiar scenario: A loyal customer has already shown an affinity for your products and services. And, you may know a lot about this existing customer. However, how do you determine which additional products or services your customer is most likely to buy? In the past, the answer relied primarily on common business sense. In today's data driven world, selling to existing customers should be guided by predictive relationships uncovered through data mining.

Join David Ogden, Analytical Consultant for SAS, as he discusses how data mining can help answer the fundamental business questions associated with successful cross- and up-selling campaigns, including: “What groups of products are customers mostly likely to own?” “What products are owned by groups of similar customers?” “How likely is a particular type of customer to buy?”

You'll learn about:

  • Identifying opportunities for cross-sell and up-sell that will increase revenue per customer and optimize value.
  • Evaluating various analytical approaches, such as association analysis, cluster analysis and predictive modeling.
  • Building two-stage models that not only maximize the probability of successful sales but also add economic value.

Register Now

Questions? Contact Buffie Silva at Buffie.Silva@sas.com or (919) 531-0345.