| Course | BU 443 Marketing Analytics |
|---|---|
| Unit | Unit 8 |
| Paper type | Analytics recommendation |
| Length | About 640 words, 4 pages |
| Format | Business memo with analysis, APA 7 references |
| School | Herzing University |
| Program | BS in Marketing |
| Updated | September 2026 |
Free sample paper for BU 443 Unit 8
Memorandum
To: Owners, Greenline Plant Co.
From: Marketing analyst
Date: August 5, 2026
Re: One recommendation for the fall budget, and what the data can and cannot support
Recommendation
Before setting the holiday advertising budget, Greenline should run a six-week regional test of its paid social advertising from September 7 to October 18, 2026: pausing prospecting ads in half of its shipping regions and keeping them running in the other half, then comparing new-customer orders and total sales between the two groups. No change to the paid social budget, up or down, should be made on the evidence currently available. This is the only recommendation in this memo. Greenline Plant Co. and every figure below are composites for this course.
Why This Decision, and Why Now
Paid social is Greenline's second-largest marketing cost, about $9,500 a month in spring, and the owners have twice come close to cutting it. The holiday budget must be set by the end of October. Every supporting claim below is tied to the table it came from, and each is graded for confidence in plain words.
| Claim | Source | Confidence |
|---|---|---|
| The evidence on paid social points in opposite directions depending on how credit is assigned: $26.39 per purchase under last click, $14.84 under first click | Channel performance analysis, both tables | High that the models disagree; the figures are allocations, not effects |
| Customers acquired in spring, when paid social's share of first orders was highest at 31%, repeated less within 90 days, 9.8% against 12.1% for summer | Customer and cohort analysis, cohort table | Moderate; the spring cohort's full-year window closed only in June, and seasonal buying could explain the gap |
| The spring campaign's paid ads cost about $23 per tagged order, and the campaign as a whole probably did not recover its cost within three weeks | Campaign evaluation, category comparison | Moderate; the estimate is an upper bound because an unrelated viral video overlapped |
| Controlled tests can settle questions at Greenline's traffic levels within a few weeks when the effect is large enough | Test design and reading, sample size reasoning | High for the method; the free-shipping test ran cleanly over four weeks |
Read together, these claims say that the data cannot currently tell whether paid social adds sales Greenline would not otherwise make. Attribution divides credit for sales that happened; it does not measure what would have happened without the ads. Lewis and Rao (2015) showed that the true return on advertising is very hard to measure from observational data, because ad effects are small relative to ordinary variation in sales. Blake et al. (2015) found, in a series of experiments that switched off search advertising in some regions, that ads judged valuable by attribution reports added far less than those reports implied. A regional test is the method that finding points to.
How the Test Would Work
Greenline's shipping regions would be paired by their spring sales and first-order volumes, and one region from each pair assigned at random to pause prospecting ads. Ads aimed at existing customers and all email would continue everywhere, so that only the prospecting spend is tested. The measures would be new-customer orders and total sales per region, compared with the same regions' figures in the six weeks before the test. Six weeks is proposed because the free-shipping test showed that four weeks detects only fairly large effects, and advertising effects are usually smaller.
The test has a cost that should be stated. If paid social works as well as the first-click view suggests, pausing it in half the regions could lose roughly 120 first orders over six weeks, perhaps $8,000 of sales, against about $7,000 of ad spend saved. If it works as poorly as the last-click view suggests, the pause saves money with little loss. Either way, the owners would enter the holiday season knowing which is true.
What This Dataset Cannot Settle
Several questions remain open even after the test, and they should not be answered by guesswork. The test will measure paid social's effect in autumn, not in spring, when buyers and prices differ. It will not explain why spring customers repeat less, which may reflect the season rather than the channel. It cannot see the gift recipients who make up a large share of holiday orders, so the value of those customers remains unknown. It cannot track what happens to plants after the 30-day guarantee, which shapes whether a customer returns. And it cannot account for customers who decline tracking, about one in six visitors. Kohavi et al. (2020) note that a well-run test answers the question it was designed for and little else, and this memo asks for exactly one answer: whether the prospecting ads earn their cost.
Decision Needed
Approval to run the test from September 7 is needed by August 21, so that the regional pairs can be set and the ad accounts configured. The analyst will report the result by October 25, in time for the holiday budget.
References
Blake, T., Nosko, C., & Tadelis, S. (2015). Consumer heterogeneity and paid search effectiveness: A large-scale field experiment. Econometrica, 83(1), 155-174. https://doi.org/10.3982/ECTA12423
Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy online controlled experiments: A practical guide to A/B testing. Cambridge University Press.
Lewis, R. A., & Rao, J. M. (2015). The unfavorable economics of measuring the returns to advertising. The Quarterly Journal of Economics, 130(4), 1941-1973. https://doi.org/10.1093/qje/qjv023
Reading the BU 443 Unit 8 instructions
The final BU 443 unit asks students to write an analytics recommendation for decision-makers. Prompts usually require a clear recommendation, supporting claims linked to earlier analysis, an honest statement of confidence, a discussion of what the data cannot answer and a request for a decision. Many instructors specify a memo format and ask how many recommendations to make; one well-supported recommendation often scores better than several thin ones. If the analysis supports no clear action, recommending how to obtain better evidence is acceptable and often the most defensible choice. Figures from real workplace reporting are usually discouraged. The memo is typically two to four pages in APA 7, with a claims table.
How this BU 443 Unit 8 example is built
The memo opens with its single recommendation and states that it is the only one. A section explains why the decision matters now and presents four claims in a table, each with its source table and a plain-language confidence grade. A paragraph draws the claims together and cites research on the difficulty of measuring advertising returns and on regional experiments. A section describes how the test would work and states its possible cost in both directions. A section lists questions the data will still not answer, from spring repeat behavior to gift recipients and customers who decline tracking. The memo closes with the decision needed and its date.
BU 443 Unit 8 rubric: what full points look like
Recommendation memo rubrics usually reward a clear single recommendation, claims linked to evidence, calibrated confidence, honesty about limits and a practical request, with writing and APA. The recommendation criterion earns full credit when it is specific and actionable. Evidence linkage scores highest when each claim points to the analysis it came from. Confidence is judged on plain, graded language rather than certainty. The limits criterion rewards naming questions the data cannot settle. The request criterion pays for a decision, an owner and a date. Instructors also credit memos that recommend better measurement when the evidence cannot support a larger decision, since that is often the most honest conclusion.
BU 443 Unit 8 help before you submit
Recommendation memos often lose points by listing many recommendations, each supported weakly. Another common problem is stating claims without saying where they came from. Students frequently use certain language, such as proves or clearly shows, for correlational findings. Some ignore the limits of their data or bury them at the end. Others recommend large changes when the evidence supports only a test. Memos without a decision date tend to produce no decision. Finally, using figures from a real employer's reports can disclose confidential data; a composite case with clearly labeled figures shows the same judgment without that risk. Closing with a named owner and a date for the decision makes the memo something a manager can act on the same week.
Get a BU 443 Unit 8 example written to your instructions
Attach the Unit 8 instructions and the BU 443 rubric, plus the analyses your earlier sections produced. We write a custom example that opens on the recommendation, traces every claim to its source, grades confidence in words, keeps the unanswerable questions separate and names what to measure differently. First custom sample free, returned in 24 to 48 hours.
More BU 443 papers and marketing samples
- BU 443 Unit 1: Metrics definition exercise
- BU 443 Unit 2: Data collection and tracking audit
- BU 443 Unit 3: Channel performance analysis
- BU 443 Unit 4: Customer and cohort analysis
- BU 443 Unit 5: Campaign evaluation
- BU 443 Unit 6: Test design and reading
- BU 443 Unit 7: Dashboard or visualization
- BU 106 Unit 8: Company analysis with recommendation
- BU 217 Unit 8: Recommendation with defense
- BU 231 Unit 8: Market entry recommendation
- BU 242 Unit 8: Improvement recommendation
BU 443 Unit 8 questions, answered
How many recommendations should the memo make?
One, developed properly, unless your instructions ask for a set. Three suggestions usually means none of them was traced to evidence or sized against it, and the criterion here is the link between a claim and what supports it. Where a set is required, rank them, put the tracing work into the first and say openly which ones rest on thinner ground.
What if the analysis supports no clear action?
Then recommend what it does support, which is often a change to what gets collected. A memo saying the current data cannot separate two explanations, and specifying what would separate them, is a real recommendation and a defensible one. Manufacturing a confident action out of ambiguous evidence is exactly the error this unit was built to catch.
Can I use figures from the reporting I see at work?
No. Analytics exports, ad account screens and customer tables reachable through a work login are the employer's material, and a graded document circulates past you. Use the dataset your section provides, or construct a case and label it constructed. The reasoning is what earns the marks, and constructed figures carry that reasoning perfectly well.
Where can I find a free BU 443 Unit 8 sample paper?
The complete BU 443 Unit 8 analytics recommendation is free on this page, including the claims table, the test design and margin notes. For your own analysis, send your instructions and a custom memo is written free, typically within 48 hours.
What if the BU 443 Unit 8 analysis supports no clear action?
Recommend how to get evidence that would. The sample finds that attribution cannot settle whether paid social adds sales, so its single recommendation is a regional test before any budget change.