Email Marketing Assignment: Good Experimental Design (Research Paper Sample)

EMAIL MARKETING
Student’s Name
Institutional Affiliation
CASE STUDY
Introduction
Experimental designs can simply be described simply as the plan that is involved in assigning specific units of experiment to the treatment conditions. There are some specific factors that are put into consideration when determining the ability of experimental designs.
The functions that a good experimental design should serve include the following:
Causation
A good experimental design should be flexible enough to allow the experiment to take on its cause. The experiment should be able to analyze and define the relationship that are visible between the variables; independent and the dependent. Apart from causation, the other factors that should be put into consideration include control and the variability.
Control
The experiment should be able to bring out very clear explanations on the variables that are not independent in nature. The experiment should be able to sort out other alternative explanations that are obtained during the process of carrying out the experiment. These values are obtained due to the varying values that may be obtained during the experiment. In summary, the experimental design should give out space for the experiment to take control of itself. The values obtained should come out clearly from the experiment.
Variability
This is another important factor to be put into consideration during the formation of an experimental design. This is mainly an issue of concern due to the treatment conditions. The ability of the values to vary are reduced. The differences between the various treatment conditions can be clearly detected and necessary corrections done (Tschabitscher, 2017).
An experiment is always being set up in order to decide the possible outcomes. Predictor is a variable that is always being formed when there are serious changes that occur in the preconditions during an experiment. When the second variable is interfered with, the predictor will also change accordingly. This variable is known as the outcome variable. Therefore the performance of experimental design is determined by the choosing of the best predictors and the corresponding outcome variables.
The experimental designs have main features that are of high concerns. The features include the ability to come out with the best validity, reliability and the most suitable replicability. After choosing appropriate predictor, you must ensure that errors are reduced (Ward, 2018).
The concept of the design of experiments may have many applications in order to improve various process that may include the following. The first use is to compare the available alternatives during the experiment. The various factors that are important and affects the responses should be clearly noted. The best output of an experiment can be identified through experimental design. The concept of the variability can also be minimized by use of the experimental designs. There are many more applications of the experimental designs that are not included in the above factors. The design is also able to ensure that the products due to the experiment are achieved in the best state. The table can be analyzed as shown below.
Run

Heading

Email Open

Body

R1

R2

1

Generic

No

Text

46

38

3

Generic

Yes

Text

56

59

5

Generic

No

HTML

25

27

7

Generic

Yes

HTML

21

23

Run

Heading

Email Open

Body

R1

R2

1

Detailed

No

Text

34

38

3

Detailed

Yes

Text

68

50

5<...