| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | Webcast | Date added | 31 Aug 2007 |
| Topics | Data Mining - Analysis, Sales - Marketing | ||
| Downloads | 61 | ||
Selling more to the existing customers not only increases the likelihood of a satisfied customer, but it also increases value. The presenter of this webcast 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?" The attendee will 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; and building two-stage models that not only maximize the probability of successful sales but also add economic value.
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