| Course | MT494 Bachelor's Capstone in Marketing |
|---|---|
| Unit | Unit 9 |
| Paper type | Metrics dashboard |
| Length | About 990 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | BS in Business Administration |
| Updated | October 2026 |
Free sample paper for MT494 Unit 9
An Early, a Middle and a Late Measure for Each Objective: An MT494 Unit 9 Metrics Dashboard for Sandberg Lanes
[Student Name]
Purdue University Global
MT494: Bachelor's Capstone in Marketing
Unit 9 Metrics Dashboard
[Instructor Name]
[Date]
Sandberg Lanes, its baselines and its targets are composite; the sources cited are real.
The Page
Erik and Linnea will read this one sideways sheet together at a monthly meeting. Its rows are grouped under the plan's three objectives, and its columns show the baseline, the targets at months three, six and twelve, the data source, the person responsible and how often the figure is updated. A final column shows green, amber or red against thresholds written beneath the table. Reproduced as a list, the nine rows are as follows.
1. Inquiries per month: baseline 4, targets 12, 14, 16; booking software; coordinator; weekly.
2. Quote-to-booking conversion: baseline 40 percent, targets 45, 50, 55; booking software; coordinator; monthly.
3. Booked weekday events: baseline 5, targets 8, 13, 18; booking software; coordinator; monthly.
4. Share of events buying a food package: baseline 35 percent, targets 50, 60, 70; point of sale; front desk manager; monthly.
5. Food revenue per guest: baseline $9, targets $11, $13, $14; point of sale; front desk manager; monthly.
6. Average spend per guest: baseline $27, targets $29, $32, $34; point of sale; co-owner; monthly.
7. Follow-up calls completed within a week: baseline none, targets 90, 95, 95 percent; coordinator's spreadsheet; coordinator; weekly.
8. Planner satisfaction, two-question email: baseline none, targets 4.2, 4.4, 4.5 of 5; email survey; coordinator; after each event.
9. Share of first-time bookers who book again within a year: baseline unknown, targets reported from month six, 25 percent by month twelve; booking software; co-owner; quarterly.
Why Three Rows per Objective
Each objective has one measure that moves early, one in the middle and one late. For weekday events, inquiries are the early signal, conversion the middle and booked events the result. If search produces too few inquiries in the first month, nothing downstream can recover, and the owners will know in weeks rather than at year end. Kaplan and Norton (1992) argued that a scorecard should combine measures that drive future performance with measures of results already achieved, and the three rows apply that idea at the scale of a single marketing effort.
Inquiries tell the owners in week three what booked events would not tell them until month six.
The grouping also lets the owners trace a weak result back to the step where the chain broke. If booked events are low but inquiries are on target, the problem is the quote or the follow-up, not the advertising.
Targets That Ramp
The targets rise over the year rather than staying flat. A new effort takes time to build, and the coordinator will need weeks to learn the market. A flat target of eighteen events a month would show red for half a year, and owners who see red every month learn to ignore the page. The month-three target of eight events is set low enough to be reachable and high enough to show that something has changed from the baseline of five.
Where Each Number Lives
Every measure comes from a source that already exists or costs little to create: the booking software bought in the Unit 8 budget, the point-of-sale reports the center already runs, a weekly spreadsheet the coordinator keeps for follow-up calls, and a two-question email sent after each event. Nothing requires a new system or an outside agency. Each row names one person responsible for updating it, usually the part-time coordinator, so that no number is left to whoever has time.
Definitions
Each measure is defined before any result is counted, because two people counting bookings differently can make the same month look good or bad. A booked event means a deposit received, not a verbal yes. An inquiry means a contact that asks about a specific date or group size; general questions about hours do not count. A canceled event is removed from the month in which it was booked, and the cancellation is noted. A return booking means the same company books again within twelve months, whoever at the company places it. Spend per guest divides all revenue from the event, including food and drinks, by the number of guests on the final invoice. Farris et al. (2010) warn that marketing measures lose their value when their definitions drift, and writing these down now prevents arguments later.
Thresholds and Decision Rules
A measure is green at or above its target, amber within 15 percent below it and red more than 15 percent below. Four rules tie the colors to actions in the budget. Two consecutive red months on inquiries move half of the remaining search money to the mailed kit and direct calls. Conversion below 30 percent in any month triggers a review of the quote itself: price, speed of response and what the quote includes. If the food package share is red at month six, the open-house budget is redirected to a tasting at each booked event. If booked events are red at month four, the cut order from Unit 8 takes effect, beginning with the second mixer. Each rule points to a line the owners have already approved, so acting on the dashboard does not require a new decision.
What the Dashboard Leaves Out
Website visits, social media followers and ad impressions are not on the page. They are easy to count and may be tracked by the search vendor, but none of them can confirm that a weekday lane was sold. Kotler and Keller (2016) distinguish measures of marketing activity from measures of the outcomes that activity is meant to produce, and the page keeps the outcomes plus only those activity measures that lead directly to them. Keeping it to nine rows means the owners can read it in five minutes.
References
Farris, P. W., Bendle, N. T., Pfeifer, P. E., & Reibstein, D. J. (2010). Marketing metrics: The definitive guide to measuring marketing performance (2nd ed.). Pearson.
Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard: Measures that drive performance. Harvard Business Review, 70(1), 71-79.
Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson.
Reading the MT 494 Unit 9 instructions
In MT494's ninth unit, the dashboard pairs each objective with the measure that would prove it. Group your measures under the plan's objectives and include, for each, something that moves early and something that confirms the result. Give every row a baseline, phased targets, a data source, a responsible person and an update frequency. Write a counting rule for every measure, such as what turns an inquiry into a booking. Set thresholds for green, amber and red, and write decision rules that link a threshold to a specific action, ideally a budget line already approved. A single page that owners can scan over coffee is the goal. Explain briefly what you left out and why. A source on marketing metrics or scorecards supports the structure, cited in APA style.
How this MT494 Unit 9 example is built
One page reproduced as a nine row list opens the paper, each row with baseline, three targets, source, owner and frequency. A section explains the early, middle and late logic with Kaplan and Norton's scorecard argument, under a highlighted line about inquiries signaling weeks ahead of results, and shows how a weak month can be traced back through the chain. Ramped targets are defended against flat ones that would show red for half a year. A sources section names the booking tool, point of sale reports, a spreadsheet and a two question email. Definitions follow, from a deposit counting as a booking to how cancellations are handled, citing Farris and colleagues. Thresholds and four decision rules tie colors to budget lines, and a closing section explains why followers and impressions were left out.
MT494 Unit 9 rubric: what earns full points
Alignment between measures and objectives is where these dashboards are judged first. A page counting followers or site visits while the objective is booked events suggests measures chosen for convenience, and instructors expect each objective to be matched by a measure able to confirm it. Baselines are frequently missing, and a target with no starting point cannot show progress. Definitions earn steady credit because ambiguous counting undermines every number. Data sources should already exist or be cheap to create. Decision rules linking a threshold to an action are often what lifts a dashboard from adequate to strong, since a page nobody acts on adds little. Too many measures dilute attention. Consistency with the budget's figures and APA citations finish the expected elements.
MT494 Unit 9 help from the desk
The commonest weakness is a dashboard of activity counts, impressions, likes, emails sent, that cannot show whether the objective was met. Another is setting flat annual targets from the first month, which turns the page red for months and trains the owners to ignore it. Students frequently omit baselines because the client never tracked the measure; say so and set the first month as the baseline. Definitions are often left out, which invites arguments about what a booking means. Decision rules tend to be vague, such as review the strategy. Before submitting, check that every objective has at least one result measure, that each row names a source and a person, and that every red threshold points to a specific line in the budget.
Get an MT494 Unit 9 example written to your instructions
Paste your plan's objectives, the data your client already collects, who would update it and the Unit 9 dashboard instructions with the rubric. A one-page dashboard with baselines, phased targets, definitions and action rules comes back as your first sample, free and within 24-48h, with your client's figures kept in brackets. 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.
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MT494 Unit 9 questions, answered
Does the dashboard need to be built in software?
Rarely. Most sections accept a clear table or a mock-up in a spreadsheet, and some welcome a screenshot from a free tool. What graders look at is the logic: each objective matched to measures, baselines, targets, sources and owners. A polished visual with weak alignment usually scores below a plain table with strong alignment.
What is the difference between leading and lagging measures?
A lagging measure reports the result you care about, such as booked events, after it happens. A leading measure moves earlier and predicts it, such as inquiries or quotes sent. Including both lets your client correct course before the final number disappoints, which is usually why instructors ask for the pairing.
How do I set targets if the client has no history?
Use the budget's own assumptions, such as expected inquiries and conversion rates, and phase them over the year. Where a benchmark exists, cite it. State that targets will be revised after the first quarter of real data, since a dashboard that admits its early targets are estimates tends to read as more credible.
Where can I find a free MT494 Unit 9 sample paper?
The complete MT494 Unit 9 dashboard is on this page, pairing a composite bowling center's three objectives with nine measures, ramped targets, definitions and decision rules.
Why do the targets ramp in the MT494 Unit 9 sample?
A new sales effort takes time to build, and a flat target of eighteen events from month one would show red for half a year until the owners stopped reading the page.