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Enhanced Segmentation Using SAS ® Visual Analytics and SAS ® Visual Statistics
| Content Provider | Semantic Scholar |
|---|---|
| Author | Baer, Darius Grover, Suneel |
| Copyright Year | 2016 |
| Abstract | What will your customer do next? Customers behave differently; they are not all average. Segmenting your customers into different groups enables you to provide relevant communications and interactions, resulting in greater customer satisfaction as well as increased profits. SAS® Visual Analytics and SAS® Visual Statistics enable you to visually analyze your marketable universe to create more useful segments for customer relationship management and to understand the value and relative importance of different customer attributes. You can segment your customers by using the following methods: 1) Business rules 2) Quantile membership 3) Supervised classification 4) Unsupervised clustering Whichever way you choose, SAS enables you to graphically represent your customer data with respect to demographic, geographic, and customer behavioral dimensions. This paper covers the four segmentation techniques and demonstrates how SAS Visual Analytics and SAS Visual Statistics can be used for easy and comprehensive understanding of your customers. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://support.sas.com/resources/papers/proceedings16/SAS6222-2016.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
