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Design of Experiments for Direct Marketing
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Design of Experiments for Direct Marketing
DOEFS : DOEF42
This course deals with the concepts and techniques that are used in the design and analysis of experiments. The course primarily focuses on direct marketing applications, but it is also relevant for someone interested in designing experiments in the fields of physical, chemical, biological, medical, economic, social, psychological, and industrial sciences; engineering; or agriculture. This course teaches you how to design efficient marketing experiments with more than one factor, analyze the results that your experiments yield, and maximize the information that is gleaned from a marketing campaign. Factorial and fractional factorial designs are discussed in greater detail.
Learn How To
  • Determine the appropriate sample size for your tests.
  • Apply the principles of balance, orthogonality, randomization, replication, block designs, factorial designs, and fractional layouts.
  • 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 each campaign.
  • Apply well-known experimental design practices to direct marketing efforts.
    • Who Should Attend
    Business analysts, market researchers, and anyone interested in designing, conducting, and analyzing experiments specially for marketing campaigns
    Prerequisites
    Before attending this course, you should;
  • Have a strong interest in experimentation.
  • Have at least an introductory-level familiarity with statistics and regression modeling. You can gain this experience by completing the course Statistics 2: ANOVA and Regression or equivalent training.
    • SAS Products Covered
    SAS/GRAPH;SAS/QC;SAS/STAT
    Course Outline
    Introduction to Experimentation
  • Designed experiments: Why they matter.
  • Designed experiments: What they are.
    • Simple Designs: Testing a Single Factor
  • Hypothesis testing.
  • Design of experiments: terminology.
  • Power and sample size.
    • Complex Designs: Testing Multiple Factors
  • Two 2-level factors.
  • Orthogonality.
  • Blocking.
    • More Complex Designs: Too Many Treatments
  • Fractional factorials and orthogonal arrays.
  • Optimal designs.
  • Augmenting designs.
    • Live Class Schedule
    Duration: 14 hours
    Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
    This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
    Private Training
    Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
    Request private training
    Mentoring Services
    Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.
    Request mentoring