MKR 7000 Module 4 Analysis and Report on a Subscription Test Example

Reviewed by Edgar Pennington, MBA Thomas Edison State University Updated October 2026

This MKR 7000 Module 4 sample paper is the analysis and final report for Marketing Research, bringing the grocer's survey and four-store test together into a launch recommendation. Written for TESU's Master of Business Administration (MBA), it reports a composite grocer's subscription study: 612 survey completes with top-two-box intent of 34, 27 and 18 percent at $59, $69 and $79, a significant chi-square across prices, and a four-week store test with 21 sign-ups per 1,000 households, 64 percent renewal and a modest net drop in counter sales. It explains the gap between stated intent and behavior, projects the economics and recommends a phased launch at $69. MKR-7000 is the catalog code.

CourseMKR-7000 Marketing Research
ModuleModule 4
Paper typeWritten assignment 4: analysis and reporting
LengthAbout 876 words, 6 pages
FormatAPA 7 student paper
SchoolThomas Edison State University
ProgramMaster of Business Administration
UpdatedOctober 2026

Free sample paper for MKR 7000 Module 4

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From 27 Percent Who Say Yes to 2 Percent Who Sign Up: Reporting a Subscription Test

Student Name

Master of Business Administration, Thomas Edison State University

MKR-7000: Marketing Research

Mentor Name

Month Day, Year

What this page is doingThe title contrasts stated intent at the middle price with actual sign-ups, the report's central lesson. The grocer and its figures are composites.
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From 27 Percent Who Say Yes to 2 Percent Who Sign Up: Reporting a Subscription Test

Executive Summary

Hearthstone Market's research supports a limited launch of the prepared-meal subscription at $69 a week, beginning in the stores with the most family households. Stated interest was substantial and fell predictably with price. Actual sign-ups in test stores were far lower than stated intent, as research on intentions predicts, but renewal was healthy and cannibalization of the prepared foods counters was modest. A phased launch in 10 stores, with clear criteria for expanding, balances the evidence of real demand against the gap between what customers said and what they did.

Survey Results

The survey drew 612 completes from 5,000 invitations, a 12.2 percent response rate. Respondents resembled the full invited sample on loyalty spending and visit frequency, though they slightly over-represented the largest stores, so results were weighted by store. Intent is reported as the top-two-box share, those answering probably or definitely would subscribe.

Price per weekRespondentsTop-two-box intent
$5920534%
$6920427%
$7920318%
What this page is doingResponse rate and the comparison of respondents with the invited sample come first, so the reader can trust the numbers that follow.
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A chi-square test of intent by price group gives a value of 13.3 with two degrees of freedom, significant at the 0.01 level, so the differences are unlikely to be chance. Intent was highest among busy families, 41 percent at $59, and lowest among older couples. The weeknight convenience scale correlated 0.38 with intent, confirming that the subscription appeals to time-pressed households. The most important features were reliable pickup times, adjustable portion sizes and weekly menu variety; delivery mattered less than expected, which lowers the cost of a launch based on store pickup.

Field Test Results

The four test stores offered the plan at $69 for four weeks. Sign-ups reached 21 per 1,000 loyalty households, about 2.1 percent. Of those subscribers, 64 percent renewed after the first four weeks. To measure cannibalization, prepared foods counter sales were compared using difference-in-differences: counter sales in test stores fell 3 percent from the pre-period while those in matched control stores rose 1 percent, a net effect of about 4 percentage points, smaller than the subscription revenue added. Because the comparison subtracts the change in matched stores, it removes chain-wide trends and seasonal effects, the main threats that a simple before-and-after comparison would leave in place (Shadish et al., 2002).

Interpreting the Gap Between Intent and Behavior

Twenty-seven percent stated intent at $69 against 2.1 percent actual sign-up in four weeks is a large gap, but not a surprising one. Morwitz et al. (2007) found that stated intentions predict behavior less well for new products and that only a fraction of stated intent converts. Babin (2019) advises treating survey intent as a relative measure, useful for comparing prices or segments, rather than as a forecast. Used that way, the survey ranks prices and segments correctly, while the field test supplies the realistic level of demand. Four weeks is also short; sign-ups may grow as awareness spreads, which the phased launch will reveal.

What this page is doingExplaining why stated intent overshoots real sign-ups shows the writer reads results critically rather than at face value.
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Projected Economics

Applying the test's 2.1 percent sign-up rate and 64 percent renewal to the 10 stores with the most family households, about 46,000 loyalty households, suggests roughly 970 initial subscribers and about 620 continuing after the first month. At $69 a week and an estimated 30 percent contribution margin, 620 subscribers contribute about $667,000 a year before fixed costs, after allowing for the counter-sales effect. That supports a phased launch but not yet the full $1.2 million chain-wide investment.

Recommendation

Launch at $69 in the 10 stores with the highest share of family households, using store pickup, with adjustable portions and a rotating menu. Set expansion criteria in advance: sign-ups above 2.5 percent of loyalty households and renewal above 60 percent after three months justify extending to the remaining stores. Track cannibalization monthly with the same control-store comparison. Revisit the $59 price for a targeted family promotion, since intent there was highest, if margins allow.

Limitations

Results come from one season and four test stores, so they may not hold in summer or in every trade area. Survey respondents were loyalty members with email, who may differ from other customers. The renewal rate covers only one cycle. These limits support the phased approach rather than a full launch.

What this page is doingLimitations stated plainly protect the recommendation; a mentor marks down reports that oversell a four-store test.
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Presenting the Results

The report will be presented to the leadership team in a 20-minute session with five slides: the recommendation and criteria, intent by price, intent by household type, the field test results and the projected economics. Each slide states its finding in the title so that the deck reads as an argument. Charts will use sorted bars for intent by segment and a simple before-and-after comparison of test and control stores for counter sales, so that the difference-in-differences logic is visible without statistical vocabulary. Detailed tables, the questionnaire and the weighting method will sit in an appendix for anyone who wants to check the work. Questions likely to arise, such as why sign-ups were so far below stated intent, have prepared answers drawn from the interpretation section.

Conclusion

The research shows real but modest demand, strongest among busy families at lower prices, with good early retention and limited cannibalization. A phased launch with criteria set in advance turns those findings into a decision while protecting the company from overestimating demand.

References

Babin, B. J. (2019). Essentials of marketing research (7th ed.). Cengage.

Morwitz, V. G., Steckel, J. H., & Gupta, A. (2007). When do purchase intentions predict sales? International Journal of Forecasting, 23(3), 347-364. https://doi.org/10.1016/j.ijforecast.2007.05.015

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.

MKR 7000 Module 4 instructions, in plain terms

The final MKR-7000 written assignment applies Module 4 on analysis and reporting, and it previews the final project's research report. Present results in a form a decision maker can use: an executive summary first, tables of key results, the statistical tests that support each comparison and a plain explanation of what each finding means. Combine survey and experimental results where you have both, and explain any gap between them. End with a recommendation tied to the decision, criteria for next steps and the study's limitations. Cite Babin and supporting research in APA style. Report response rates and any weighting. Put the recommendation in the first paragraph so a busy reader sees it at once.

Inside the MKR 7000 Module 4 example

The report leads with the launch recommendation and its conditions, then gives the survey findings, including the response rate, a comparison with nonrespondents, an intent table and a chi-square result. The field test section reports sign-ups, renewal and a difference-in-differences estimate of cannibalization. A separate section interprets the gap between stated intent and behavior using research, which turns an apparent contradiction into a lesson. Projected economics connect the findings to money, and the recommendation sets criteria for expanding. Limitations are stated briefly and support the phased approach. The structure lets an executive stop after the first paragraph or read on for detail. Read it for the order: answer first, evidence next, limits last. Note the limits.

Where the marks sit in the MKR 7000 Module 4 rubric

The analysis report is graded out of a hundred against the rubric. Mentors look for correct statistical tests matched to the data, results presented clearly in tables, interpretation in plain language and a recommendation that follows from the findings. Reconciling survey and behavioral evidence shows analytical maturity. An executive summary, stated limitations and decision criteria make the report professional. APA citations for every source finish the score. Reports that list statistics without saying what they mean, or recommend a full launch from survey intent alone, tend to lose points. Explaining apparent contradictions in the data, rather than ignoring them, earns particular credit from mentors. Clear tables and plain language help. Precision counts.

MKR 7000 Module 4 help: mistakes that cost marks

Research reports often bury the answer at the end or present every statistic computed. Our writers can prepare MKR 7000 analysis reports from your study's data. Start by writing the decision and your recommendation in two sentences. Choose the few results that support or qualify it, present them in tables with the right tests, and explain each in a sentence a manager would understand. Where survey and behavioral data disagree, explain why with research. Close with criteria for the next decision and an honest list of limitations. Last, trace each figure in the executive summary back to a table so nothing in the summary stands unsupported. Then rehearse the presentation. Keep slides simple.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official Thomas Edison State University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

More MKR 7000 and Master of Business Administration sample papers

MKR 7000 Module 4 questions, answered

Where can I find a free MKR 7000 Module 4 sample paper?

The fourth Marketing Research written assignment appears above, reporting survey and field test results for a composite grocer's meal subscription with a phased-launch recommendation.

What is top-two-box intent?

The percentage of survey takers who pick the top two boxes on a purchase-intent scale, for example definitely or probably would subscribe.

Why did actual sign-ups fall far below stated intent?

Stated intentions overstate behavior, especially for new products, so surveys are best used to compare options while field tests measure realistic demand.

Which test compares intent across three price groups?

Compare how many people in each price group did and did not show high intent, then run a chi-square test on that table of counts.

What should a research report recommend?

An action tied to the findings, with criteria for the next decision and the study's limitations stated.