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Essay Available:
Pages:
4 pages/β‰ˆ1100 words
Sources:
16 Sources
Style:
APA
Subject:
Business & Marketing
Type:
Coursework
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 20.74
Topic:

Understanding Advertising Using A/B Testing and the Use of Cluster Analysis

Coursework Instructions:

5 open-ended questions. You need not do any computations, etc.
Each response should be well constructed and thoughtful and consider the pros and cons, advantages and disadvantages.
You are welcome to use outside references - but ensure they are reliable and trustworthy -n generally, academic, government and civic organizations are the most reliable.
Please reference at least 4 references for your argument. Need not be in MLA or APA
Question 1
Suppose you are the Marketing Director at NYIT and you wanted to understand the advertising that will:
Using A/B Testing determine the best marketing approach to enroll new students
Using A/B Testing determine the best marketing approach to continue to enroll current students
In your response, please briefly discuss what is A/B Testing and how you might differentiate the two markets discussed above.
Question 2
Suppose you are an Epidemiologist at the New York City Department of Health and there seems to be an outbreak of a new disease. "How might you determine if the outbreak is localized or not?" Hint - "Would you use Cluster Analysis which is Unsupervised or Regression Analysis which is Supervised?
"What are the major differences between Unsupervised versus Supervised Learning in Machine Learning?"
Question 3
We discussed "best practice" in visualizing data via Excel, R or Tableau. "What three of four "best practices" resonate with you and why?" If possible, reflect on past good and bad visualizations and why they are good or bad.
Question 4
What are some of the benefits and deficiencies of Excel or spreadsheets versus an SQL database. That is - a spreadsheet offers certain advantages, "What are they?" but also deficiencies, "What are they?" "How might an SQL database overcome these deficiencies?"
Question 5
The "Godfather" if you will of A.I. cited the dangers of A.I. "Do you agree or disagree?" Do we need more governmental regulation / oversight? Like many of these "cat and mouse" regulatory imbroglios, at end of day, "Do you believe regulations, etc can stimy technology?

Coursework Sample Content Preview:

Open Ended Questions
Your Name
Subject and Section
Professor’s Name
May 18, 2023
1 Question 1
A/B testing is a method used to compare two versions (A and B) of a specific element, such as a webpage or advertisement, in order to determine which version performs better in achieving desired outcomes (Kohavi et al., 2020). As the Marketing Director at NYIT, if the goal is to understand the best marketing approach for enrolling new students, A/B testing can be employed. This involves creating different versions of advertisements or campaigns and measuring their impact on the target audience. Variations in messaging, visuals, calls to action, or advertising channels can be tested. By comparing metrics like click-through rates, conversion rates, or enrollment numbers, you can identify the most effective marketing approach for attracting new students (Huang & Liu, 2022).
Similarly, A/B testing can be utilized to determine the best marketing approach for continuing to enroll current students. This requires tailoring the approach to address their specific needs and motivations. A/B testing can help compare different communication channels, engagement tactics, or incentives to encourage ongoing enrollment. For example, personalized emails can be compared to a social media campaign to assess their impact on student retention rates (Nair & Gupta, 2021). By analyzing data on engagement, retention, and feedback, you can identify the approach that resonates best with current students and encourages their continued enrollment.
Nonetheless, it is important to consider factors such as sample sizes, statistical analyses, and available resources when conducting A/B tests (Yu et al., 2022). The aim is to gain reliable insights that guide effective marketing strategies for both enrolling new students and retaining current students.
References
Huang, M., & Liu, T. (2022). Subjective or objective: how the style of text in computational advertising influences consumer behaviors?. Fundamental Research, 2(1), 144-153.
Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy online controlled experiments: A practical guide to a/b testing. Cambridge University Press.
Nair, K., & Gupta, R. (2021). Application of AI technology in modern digital marketing environment. World Journal of Entrepreneurship, Management and Sustainable Development, 17(3), 318-328.
Yu, Z., Guindani, M., Grieco, S. F., Chen, L., Holmes, T. C., & Xu, X. (2022). Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research. Neuron, 110(1), 21-35.
2 Question 2
In the scenario of an outbreak of a new disease as an epidemiologist at the New York City Department of Health, determining if the outbreak is localized or not would typically involve employing cluster analysis, which falls under unsupervised learning. Cluster analysis is a statistical technique used to identify patterns or groupings within a dataset without prior knowledge of the outcome (Saha et al., 2019). By examining the spatial distribution and characteristics of the cases, the epidemiologist can assess whether the outbreak is localized or if there are broader patterns indicatin...
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