Below are various case studies including analysis data sets. Each case study is rated on a scale of 1 to 10 for difficulty regarding knowledge of software and analysis skills required. Please note that when you download a case study, you will obtain a zipped file containing the following:
- A Word document describing the project background
- The data set(s) in either tab delimited or Excel file format
- A complete data dictionary listing all data, descriptions, formats and data ranges for each sample provided
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Case Study #1 -- Build a clone regression model based on an analysis sample of 57,000 names and 67 different predictor variables for a marketer trying to penetrate a major compiled list. A 35,000 hold-out sample is also provided for model validation. SAS OR SPSS is required. This case study requires knowledge of Chapters 6, 7, 9 and 10.
Difficulty level of this case study is a 9. (Please note that this case study file will take approximately 15 minutes to download due to size.)
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Case Study #2 – Build a regression response model based on a sample of 10,000 house names test promoted for a new cook book offer. This sample contains 6 pieces of internal RFM data elements and 2 demographic data elements. SAS or SPSS required. This case study requires knowledge of Chapters 6, 7, 9 and 10. Difficulty level of this case study is a 7.
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Case Study #3 – An introduction to modeling for marketers, this case study is based solely in Excel. Create a regression response model on a small sample of 150 customers and three RFM predictor variables. This case study requires knowledge of Chapters 6, 7, 9 and 10. Difficulty level of this case study is a 5. |
If you experience any problems in downloading these files, please email Perry at Perry@DrakeDirect.com.
Please note that Sage Publications or the authors will not provide solutions, technical support or guidance with respect to the use of any of the above case studies. Data and data descriptions are provided as is. We apologize for any inconvienience this may cause. However, feel free to email Perry with suggested changes or enhancements to any case study for future consideration.
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