| Course | GB794 Advanced Topics in Marketing |
|---|---|
| Unit | Unit 1 |
| Paper type | Discussion board post |
| Length | About 460 words, 2 pages double-spaced |
| Format | APA 7 discussion post |
| School | Purdue University Global |
| Program | MBA |
| Updated | October 2026 |
Free sample paper for GB794 Unit 1
Reported or Demonstrated? A Unit 1 Discussion Post on a Grocer's Email Revenue Figure
GB794 · Unit 1 Discussion Post
Posted by [Student Name]
Thornbury Market, its email program and every figure are composite and illustrative; the studies cited are real.
Initial Post
Every Monday our marketing team sends a flyer email to about 210,000 loyalty members. The email platform credits the flyer with any purchase a member makes within seven days of opening it, and last quarter that came to 1.9 million dollars. The figure goes into the monthly report to our board as "revenue from email."
I think the week's two key words separate what that number is from what it is taken to be. An effect is reported when software assigns credit to a cause after the fact, using a rule such as "purchased within seven days of opening." An effect is demonstrated when a comparison shows what the outcome would have been without the cause. Our dashboard reports. It does not demonstrate, because the members who open a weekly grocery email are, for the most part, the members who were going to shop that week anyway.
Lewis and Reiley (2014) show why the distinction matters. In a controlled experiment with a major retailer, they randomly withheld online display ads from some customers and measured offline as well as online purchases. Only the randomized comparison could separate the ads' effect from the shopping customers would have done regardless, because customers who saw the ads differed from those who did not before any ad was shown, so a simple comparison of the two would have misstated the effect. Hanssens and Pauwels (2016) make the same point more broadly: marketing claims about value are credible only when the metric is linked to an outcome through a design that rules out what would have happened anyway.
A rule that credits the email with every purchase by people who opened it counts the regular shoppers it never needed to persuade.
The test we could run is simple. For four weeks, a randomly chosen 10 percent of loyalty members would receive no flyer email. We would compare total spending, in store and online, between that group and everyone else. The difference, not the dashboard figure, would be the email's effect.
What figure in your organization is reported as an effect when it has never been compared with a holdout?
Reply to Andre
Andre, you said your call center's new script raised sales because sales per call rose after it launched. Did anything else change in those weeks, such as the mix of callers or a seasonal promotion? A few teams kept on the old script for a month would turn your before-and-after comparison into a demonstration.
References
Hanssens, D. M., & Pauwels, K. H. (2016). Demonstrating the value of marketing. Journal of Marketing, 80(6), 173-190. https://doi.org/10.1509/jm.15.0417
Lewis, R. A., & Reiley, D. H. (2014). Online ads and offline sales: Measuring the effect of retail advertising via a controlled experiment on Yahoo! Quantitative Marketing and Economics, 12(3), 235-266. https://doi.org/10.1007/s11129-014-9146-6
GB794 Unit 1 instructions, in plain terms
The opening GB794 board asks what separates a reported marketing effect from a demonstrated one. Begin with a figure from your own organization that is presented as an effect, and give its number and the rule that produced it. Define both terms precisely, so the reader can see which side the figure falls on. Explain why the rule cannot answer the causal question, identifying who would have bought anyway. Bring in at least one field experiment that shows why a randomized comparison matters, and describe what it did rather than only citing it. Propose a test your organization could run, with the group held out, the duration and the outcome compared. End by asking peers which of their own numbers has never faced a holdout. In the reply, apply the distinction to a classmate's claim and suggest a comparison that would turn it into evidence.
How the GB 794 Unit 1 example is put together
The post opens with the Monday flyer sent to about 210,000 loyalty members and the 1.9 million dollar figure in the board report. The two terms are defined, and the writer explains that members who open a grocery email are mostly members who were going to shop that week. Lewis and Reiley's experiment, in which a retailer withheld display ads from randomly chosen customers and tracked store and online purchases, shows why only a randomized comparison separates effect from habit, and Hanssens and Pauwels widen the point. The highlighted sentence names who the rule overcounts. A holdout of 10 percent of members for four weeks is proposed. The reply to Andre suggests keeping some call teams on the old script.
Where the points sit in the GB794 Unit 1 rubric
Points on the first GB794 board go to the precision of the distinction and its application. Instructors reward a figure from the writer's own setting, stated with the rule that produced it, over a hypothetical example. Definitions of reported and demonstrated should be sharp enough that a reader could classify any metric. Naming the shoppers the rule overcounts scores well, since that is the selection problem in plain terms. A field experiment described in a sentence or two, with what it compared, is weighted more than a citation alone. A proposed test with a holdout, duration and outcome shows the writer can move from critique to design. The reply is judged on whether it supplies a specific comparison for the classmate's claim.
GB794 Unit 1 help from the desk
Many GB794 Unit 1 posts criticize attribution in general without naming a figure, a rule or a test. Others assume that any customer who received an email was influenced by it, which is the very error the board asks students to spot. Field experiments are often cited for their conclusion without the design that makes them persuasive. Proposed tests are frequently vague, such as running an experiment, without saying who is held out or what is measured. Replies tend to agree with the classmate. Name your figure and its rule, define both terms, say who the rule overcounts, describe one experiment, propose a holdout with its details and give a classmate a usable comparison. Bring the dashboard number your own team reports, and a writer can draft the post and holdout around it.
Get a GB794 Unit 1 example written to your instructions
Choose a number that appears in your own marketing reports, if the Unit 1 prompt permits, or use the figure provided by the instructor, and attach the rubric. The custom post returned separates what that number reports from what it shows and proposes a comparison that could settle the difference. Expect it within 24-48h; the first sample is free. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
More GB794 papers and MBA samples
- GB794 Unit 2: Consumer Study Critique
- GB794 Unit 3: Experiment Design Memo
- GB794 Unit 4: Attribution Analysis
- GB794 Unit 5: Measurement Validity Review
- GB794 Unit 6: Seminar Reflection
- GB794 Unit 7: External Validity Memo
- GB794 Unit 8: Field Study Proposal
- GB794 Unit 9: Evidence Summary
- GB794 Unit 10: Marketing Research Paper
- GB793 Unit 1: Discussion Board Post
- GB792 Unit 1: Discussion Board Post
- GB791 Unit 1: Discussion Board Post
- GB740 Unit 1: Discussion Board Post
GB794 Unit 1 questions, answered
Does the GB794 Unit 1 post need empirical sources?
Most sections ask for at least one scholarly source, and here a field experiment on advertising serves better than a textbook definition of causality. One well-chosen study, used for a single narrow claim, reads as more doctoral than several cited in passing. Your instructions set the count and the citation style, and those govern whatever this sample does.
Can a discussion post propose a test the candidate cannot run?
Yes, and at this level it usually should. The prompt tends to reward showing what evidence would settle the question, not producing that evidence inside a board thread. Naming the outcome, the comparison group and the rough cost of running the test demonstrates the reasoning; whether the firm ever runs it is a separate matter the post can leave open.
Where can I find a free GB794 Unit 1 sample paper?
This page holds a full GB794 Unit 1 discussion post separating a grocer's reported email revenue from a demonstrated effect, with a proposed holdout test and a reply to a classmate.
What is a holdout test in marketing?
A randomly chosen group of customers is excluded from a campaign for a set period. Comparing their spending with everyone else's shows what the campaign actually changed.
Why do email platforms overstate revenue?
They credit the email with any purchase made within a window after it is opened. Many people who open a weekly grocery email would have shopped that week regardless, so their purchases are counted as if the email caused them.