Design of Experiments for Direct Marketing - DOEF92
This course teaches you how to design marketing experiments with more than one factor and how to maximise the information that is gleaned from a marketing campaign.
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|2 days - Classroom|
Learn how to
- determine the appropriate sample size for your tests
- build efficient experimental designs that generate as much information as possible for minimum cost
- identify challenges associated with analysing experimental designs
- test as many factors as possible in a given campaign
- apply well-known experimental design practices to direct marketing efforts.
Who should attend?
Business analysts and market researchers with experience using regression analysis
Before attending this course, you should have completed the Introduction to Statistics using SAS 9.2: ANOVA, Linear Regression & Logistic Regression course or equivalent training and have experience with regression models.
- practical and technical definitions of efficiency
Testing a Single Factor
- hypothesis testing
- experimental design terminology
- power and sample size
Testing Multiple Factors
- two or more factors
Too Many Treatments
- fractional factorials
- orthogonal arrays
- optimal design and efficiency
- augmenting and customising designs
This course addresses the following software product(s): SAS/QC, SAS/GRAPH. This course also addresses SAS/IML and SAS STAT. Without SAS/IML software you can still generate many of the designs used in this course. Without SAS/QC, none of the designs in the final chapter can be generated.