Design of Experiments for Direct Marketing

Duration: 3.0 days
Course fee: $2,040
EPTO units: 3
CEUs: 1.8

This outline is provisional and subject to change.

This course teaches you how to design marketing experiments with more than one factor and how to maximize the information that is gleaned from a marketing campaign.

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 analyzing 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

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Prerequisites

Before attending this course, you should have completed the Statistics II: ANOVA and Regression course or equivalent training and experience with regression models.

Course Contents

Introduction to Direct Marketing

experimenting in direct marketing
power and sample size

Testing with Two or More Factors

two factors, each at two levels
multiple factor designs

Improving Design Efficiency

blocking
analysis with covariates

Orthogonality

too many treatments
fractional factorials and orthogonal arrays
optimal design and efficiency
power and sample size revisited
augmenting and customizing designs

Software

This course addresses SAS/STAT, SAS/QC, SAS/GRAPH. If your location does not have SAS/IML sotware, you can still benefit from this course.

Course Materials

Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

Share Your Thoughts

Are there additional topics you'd like for this course to address? Would you like for this course to be offered at another training facility? Let us know by adding to our Interest List.

Course fee and EPTO units will differ for on-site training.

This page was created using SAS software.

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