| Course | GB531 Advertising |
|---|---|
| Unit | Unit 7 |
| Paper type | Budget allocation model |
| Length | About 890 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | MBA |
| Updated | October 2026 |
Free sample paper for GB531 Unit 7
Even, Burst or Burst With a Pulse: A Unit 7 Budget Allocation Model for $850,000 of Working Media
[Student Name]
Purdue University Global
GB531: Advertising
Unit 7 Budget Allocation Model
[Instructor Name]
[Date]
The battery brand, its budget and every figure are composite and illustrative; the methods and sources cited are real.
Step 1: Splitting the Budget Across Markets
Working media is divided by each market's target adults, from the media universe in Unit 4, multiplied by an outage index that reflects how long outages typically last there, with Houston set at 1.00.
Houston: about 980,000 target adults; index 1.00; share about 50.9 percent; about $432,600; about $0.44 per target adult.
Tampa-St. Petersburg: about 550,000; index 1.13; share about 32.3 percent; about $274,400; about $0.50 per target adult.
New Orleans: about 240,000; index 1.35; share about 16.8 percent; about $143,000; about $0.60 per target adult, the highest, because outages there have lasted longest and the fuel problem is most familiar.
The outage index adds weight where the message matters most, without abandoning the largest market. Jones (1995) argued that advertising's short-term effects depend heavily on reaching people when the message is relevant to them, and the index is a simple way to put relevance into the split.
Step 2: Holding Mail and Search
In each market, 10 percent of working media is held for direct mail to homeowners in the message audience, and 10 percent for paid search, which captures homeowners already looking for backup power. The remaining 80 percent, about $346,100 in Houston, goes to television, connected TV, streaming audio and weather pages, as set out in the media plan.
Step 3: Three Schedules for Houston
At a blended cost of about $618 a target rating point, $346,100 buys about 560 target rating points in Houston. The question is how to spread them.
Schedule A, even spread over eighteen weeks: about 31 points a week. In any four-week window, about 125 points, reaching about 16 percent of the universe three or more times.
Schedule B, a single six-week burst from late May: 560 points in six weeks. In a four-week window inside the burst, about 69 percent reached three or more times, but nothing after early July.
Schedule C, a six-week burst of 459 points plus a two-week August pulse of about 100 points: in a four-week window inside the burst, about 59 percent reached three or more times; during the pulse, about 60 percent reached at least once, refreshing the message at the peak of the season.
Spreading money evenly feels cautious, but it buys a schedule that almost no one sees often enough to remember.
The estimates use a simple model that assumes exposures are spread at random among the homeowners each vehicle can reach. Real schedules concentrate exposures among heavier viewers, so actual effective reach will be somewhat lower in each case, but the ranking of the three schedules holds.
Testing the Split Itself
The market split was also tested. Allocating purely by target adults, with no outage index, would give New Orleans about 13.6 percent rather than 16.8 percent, about $27,300 less. Allocating purely by outage risk would starve Houston, which holds more than half of the target homeowners. Sharp (2010) cautions against concentrating spending on the most responsive buyers at the cost of broad reach, because growth usually comes from many lighter buyers. The index is therefore kept modest, raising New Orleans' share without cutting Houston's coverage below what its schedule needs.
Why Schedule C
Schedule B reaches the most people often enough in its window, but it stops just as the Atlantic hurricane season moves toward its usual peak in August and September. Schedule C gives up some frequency in the burst to keep the brand present in August, when storm forecasts lead homeowners to think about backup power and when the measurement plan's comparison of markets can still capture late effects.
Krugman (1972) suggested that about three exposures allow a message to be understood and acted on, which supports concentrating enough weight in the burst to reach that level for most of the universe. The pulse then works as a reminder rather than as a new campaign.
The Allocation in Full
Houston: burst about $283,500, pulse about $62,600, mail about $43,300, search about $43,300.
Tampa-St. Petersburg: about $219,500 for burst and pulse in the same proportions, mail and search about $27,400 each.
New Orleans: about $114,400 for burst and pulse, mail and search about $14,300 each.
Total: $850,000.
How the Model Will Be Used During the Season
The model is a planning tool, and the season will not follow the plan exactly. Each week, delivered target rating points should be compared with the schedule by market and vehicle. If a market falls more than 10 percent behind, money should move from vehicles that are over-delivering. If an early named storm makes August less relevant because homeowners have already acted, part of the pulse could move into search, which captures homeowners at the moment they look for a quote.
What the Model Assumes
The model treats the outage index as stable and the cost per point as fixed. A major storm during the burst could raise local news costs and pause television, and the plan should hold a small contingency, about 5 percent of each market's broadcast budget, for that case.
References
Jones, J. P. (1995). When ads work: New proof that advertising triggers sales. Lexington Books.
Krugman, H. E. (1972). Why three exposures may be enough. Journal of Advertising Research, 12(6), 11-14.
Sharp, B. (2010). How brands grow: What marketers don't know. Oxford University Press.
GB531 Unit 7 instructions, in plain terms
In GB531 Unit 7 you build a model that allocates an advertising budget and tests how to schedule it. Divide the budget across markets on a stated basis, such as audience size adjusted for likely response, and show the results. Hold amounts for vehicles that work differently, such as mail and search. Then compare two or three schedules for one market by effective reach within a stated window, using a simple model with its assumptions written down. Choose a schedule and justify it with timing and research. Test the market split itself, show the full allocation and say how the model will guide weekly adjustments once the campaign is live. Expect about five pages and a spreadsheet, citing media and advertising research in APA 7.
Inside the GB531 Unit 7 example
Step 1 splits $850,000 by target adults times an outage index, citing Jones on relevance, and Step 2 holds mail and search. Step 3 compares three Houston schedules on effective reach in a four-week window, and the highlighted sentence warns that even spreading buys a schedule almost no one sees often enough. A section tests the split against population-only and risk-only rules, citing Sharp's caution against over-concentrating. Schedule C is chosen for the August peak, with Krugman's three exposures supporting the burst. The full allocation sums to $850,000, a section explains weekly adjustments during the season, and assumptions about storms and costs close the model.
Where the points sit in the GB531 Unit 7 rubric
The GB531 budget model is judged on a stated allocation rule, schedules compared on one measure and a choice tied to timing. Splitting the budget by a rule that reflects likely response earns early credit. Holding money for mail and search shows awareness of how vehicles differ. Comparing schedules on effective reach within a window carries significant weight. Writing down the model's assumptions, and noting how they bias results, shows honesty. Testing the market split itself shows rigor. A full allocation that sums to the budget and a plan for adjusting during the season complete it. Jones on when ads work, Krugman on effective frequency and Sharp on brand growth supply its APA 7 references.
GB531 Unit 7 help from the desk
Many GB531 Unit 7 models split budgets by population and spread them evenly through the season, which looks fair and reaches few people often enough. Others compare schedules without a common measure. A common gap is timing: a hurricane-season product should be on air when homeowners think about outages, which argues for a burst and a pulse at the season's peak. Some writers never test their allocation rule. Split by a stated rule, hold money for vehicles that work differently, compare schedules on effective reach, state the model's assumptions, test the split, show the full allocation and plan weekly adjustments. A small contingency for storms shows the model expects the season to surprise it.
Get a GB531 Unit 7 example written to your instructions
Tell us the total budget, which markets it covers and the purchase cycle your GB531 campaign faces, and include the rubric that goes with the Unit 7 prompt. A custom allocation model comparing timing options on one measure comes back in 24-48h, the first free. Market indices built from public data are sourced, and anything else is labeled. 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 GB531 papers and MBA samples
- GB531 Unit 1: Discussion Board Post
- GB531 Unit 2: Advertising Objectives Memo
- GB531 Unit 3: Creative Brief
- GB531 Unit 4: Audience Profile
- GB531 Unit 5: Message Strategy Analysis
- GB531 Unit 6: Media Plan
- GB531 Unit 8: Seminar Reflection
- GB531 Unit 9: Campaign Measurement Plan
- GB531 Unit 10: Integrated Campaign Report
- GB530 Unit 7: Pricing Analysis
- GB528 Unit 7: Strategic Analysis
- GB527 Unit 7: Supplier Comparison
- GB526 Unit 7: Expatriate Assignment Brief
GB531 Unit 7 questions, answered
What is effective frequency, and how do I choose a number?
It is the number of exposures within a period thought necessary for an ad to work on a person. Three within a purchase cycle is a common starting point, from research going back to Krugman, but the right figure depends on the product and the message. State your number, give a reason tied to your audience, and apply it consistently across options.
Should the budget be split by market population?
Population is a starting point, not a finish. Weight by whatever predicts response for your product: sales history, category development, competitive pressure or, for this example, outage history. Show the weights, the data behind them and the resulting dollars, so a reader can see what changed from a simple population split.
How many allocation options should the model compare?
Two or three is usual. One option is a plan, not a model, and more than four tends to blur the comparison. Make the options genuinely different, such as spread against concentrated, and measure every one of them on the same criterion so the trade-off is visible at a glance.
Where can I find a free GB531 Unit 7 sample paper?
This page carries a full GB531 Unit 7 budget allocation model for $850,000 of working media across three Gulf markets, with an outage-weighted split, three schedules compared and APA 7 references.
Why does an even schedule perform so poorly?
Spreading about 560 Houston target rating points across eighteen weeks puts only about 125 in any four-week window, too few to reach many homeowners three times while the message is fresh.