MRKT 5003 Module 2 Segmentation Analysis Example

Reviewed by Cornelius Ravenhill, MBA · American College of Education · Updated

Our MRKT 5003 Module 2 example is a segmentation analysis that segments buyers by when they are free, sizes five groups for a composite family orchard and chooses the two worth serving. It answers the second module of American College of Education MRKT 5003 (MRKT5003, Marketing Management: Strategy, Impact, and Engagement) in ACE's MBA. This paper chooses segmentation variables that predict the behavior the plan must change, weekday visits, following Dickson and Ginter on segmentation and Wedel and Kamakura's methods. It sizes five segments with definitions precise enough to count and named sources, shows evidence that they differ in behavior, tests each against criteria such as size, reach and fit, chooses parents of children under five and kindergarten to third grade field trips, and estimates what the targets could be worth. Sections usually set the variables.

CourseMRKT 5003 Marketing Management: Strategy, Impact, and Engagement
ModuleModule 2
Paper typeSegmentation analysis
Length1,170 words, about 4 pages plus title and reference pages
FormatAPA 7 student paper
SchoolAmerican College of Education
ProgramMBA
UpdatedOctober 2026

Free sample paper for MRKT 5003 Module 2

1

Segments by When They Are Free: Sizing Five Buyer Groups for a Family Orchard and Choosing the Two Worth Serving

Student Name

American College of Education

MRKT5003: Marketing Management: Strategy, Impact, and Engagement

Module 2 Assignment

Instructor Name

January 29, 2028

What this page is doingThe title names the segmentation variable, when households are free, which follows directly from the Module 1 finding, and states that segments will be sized and some rejected. The orchard and every figure are composites. The APA 7 title page carries the course line and module assignment as listed.
2

Choosing the Variables

Module 1 found that Harwell Hill Orchard, a composite family farm in west Michigan, earns about 71 percent of its on-farm revenue in September and October, mostly on weekends when it is already at capacity, and that families come mainly for an outing rather than for fruit. The marketing problem is therefore one of timing, and the segmentation should divide the market on the variables that decide when a household could visit and why.

Dickson and Ginter (1987) defined market segmentation as a condition of demand: a segment exists only when a group's demand differs from that of other buyers, not merely when its members share a demographic label. Yankelovich and Meer (2006) similarly argued that segments should be built on the attitudes and behaviors that drive the purchase, not on demographics chosen for convenience. For Harwell Hill, the behavior that matters is visit timing, and the variables that predict it are household life stage and schedule flexibility. A segment that cannot come on a Tuesday is of no use to a plan that needs Tuesdays.

3

Five Segments, Sized

The first segment is weekend families with school-age children, households with at least one child aged 5 to 17 and working parents. Using census household tables for the composite 60-mile region, this group is about 118,000 households. It is the orchard's core: 64 percent of online orders include a child ticket, and most of them fall on weekends. The second is families with children under five, households whose youngest child is not yet in school, about 41,000 households. The third is elementary schools and organized groups; state school directories list 212 public and private elementary schools within 40 miles, a realistic field-trip distance, with about 58,000 students in kindergarten through third grade, the grades that most often take autumn farm trips.

The fourth segment is older adults, households headed by someone aged 60 or over with no children at home, about 164,000 households. The fifth is adults without children aged 21 to 44, about 97,000 households, relevant mainly to the taproom. The five segments together do not cover every household, and they overlap slightly, since a school group's students also belong to family households. The figures are therefore estimates of reach, not a partition of the market.

What this page is doingEach segment has a size, a definition precise enough to count and a named source, which answers the most common reason marks come off in this course.
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Evidence That They Differ

Size alone does not make a segment; each group must behave differently in a way that matters to the plan. The orchard's ticket records supply that evidence. Among last season's weekday online orders, 58 percent included a free ticket for a child under three, compared with 19 percent of weekend orders, which shows that families with very young children already make up much of the weekday trade without any marketing aimed at them. The orchard hosted 31 school groups last autumn, all on weekdays, almost entirely because teachers called on their own; the average group was 64 students and spent about $7 a student on admission, fruit and a donut.

Older adults are harder to see in the data because they tend to pay at the gate, but weekday market and bakery sales between 9 a.m. and noon, when school-age families are absent, average about $1,900 a day in October, with an average transaction of $31, larger than the weekend average of $22 and weighted toward bagged apples, pies and cider by the gallon. Adults without children appear in the taproom data instead, where late-afternoon and evening sales dominate and Friday is the strongest day outside the weekend. The weekend family segment, finally, is defined by the crowding pattern itself.

5

Testing the Segments

Wedel and Kamakura (2000) set out criteria that effective segments should meet: they should be identifiable, substantial enough to be worth serving, accessible through channels the firm can reach, stable over the planning period, responsive in a distinct way to marketing action and actionable with the firm's resources. Applying those criteria reveals why some large segments are poor targets for this plan.

Weekend families with school-age children are identifiable, substantial and accessible, but they fail the test that matters most here: their response to more marketing would come on weekends, which would only worsen crowding. Families with children under five pass every test. They are identifiable through parenting groups, libraries and preschools; substantial at 41,000 households; accessible through local parent networks and social media; and responsive on weekdays, as the ticket data show. School groups also pass. They are few in number but large in size, easy to reach through a school directory and district field-trip coordinators, stable from year to year and responsive to a program designed for them. Older adults are substantial and free on weekdays, but they are less responsive to the orchard's main product, since they come for fruit and baked goods rather than an outing, and they are harder to reach through channels the orchard already uses. Adults without children respond well to the taproom but mainly in the evenings and on Fridays, which fits the taproom's capacity rather than the farm's.

6

Targets Chosen

The plan will target two segments. The first is families with children under five, for weekday mornings in September and October and for weekday visits in the spring blossom season and the summer berry weeks. The second is elementary school groups, for weekday field trips in September and October, booked in advance through a structured program rather than by teachers' calls.

The three other segments are not targeted, for stated reasons. Weekend school-age families will continue to be served, but no marketing budget will go toward them because more demand would arrive at the wrong time. Older adults will be welcome, and the market's morning hours will continue to serve them, but the plan will not build offerings for them in its first year, because their main purchases, fruit and baked goods, are available at the farm market without a visit to the orchard. Adults without children are left to the taproom's own marketing, which is already reaching them in the evenings.

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What the Targets Could Be Worth

A rough estimate shows why these two targets matter. If weekday visits from families with young children rose from about 2,100 households last autumn to 4,000, a reach of just under 10 percent of that segment, and each spent the weekday average of about $46 across admission, fruit, bakery and market purchases, weekday revenue would rise by about $87,000 in the autumn alone, before any spring or summer visits. If a structured field-trip program lifted school groups from 31 to 80 a season at about 64 students and $7 a student, it would add about $22,000. Neither figure is large beside $2.1 million of on-farm revenue, but both arrive at times when the orchard has idle capacity and staff already on the payroll, so most of it would reach profit. Module 3 will position the orchard for these two segments against the competitors that already serve them.

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References

Dickson, P. R., & Ginter, J. L. (1987). Market segmentation, product differentiation, and marketing strategy. Journal of Marketing, 51(2), 1-10. https://doi.org/10.1177/002224298705100201

Wedel, M., & Kamakura, W. A. (2000). Market segmentation: Conceptual and methodological foundations (2nd ed.). Kluwer Academic.

Yankelovich, D., & Meer, D. (2006). Rediscovering market segmentation. Harvard Business Review, 84(2), 122-131.

MRKT 5003 Module 2 instructions, in plain terms

In MRKT 5003, Module 2 typically asks you to turn the customer evidence into segments, size them and choose targets. Expect to explain the segmentation variables, define and size each segment with sources, show the segments behave differently, evaluate them against criteria, choose targets with reasons and estimate their value. Many sections ask why some segments were rejected. Most segmentation papers run five pages and include a sizing table. The MRKT 5003 Canvas instructions state whether the segments must come from Module 1 evidence and how many to define. Choose the variable that predicts the behavior your plan must change, here the day of the week people are free.

Inside the MRKT 5003 Module 2 example

The analysis opens with the choice of variable: the problem is empty weekdays, so the useful variable is when households and groups are free to visit. The segments section defines five groups: parents of children under five, retirees, home-schooling families, school field trips and weekend families, each with a size from census or school data and a source. The evidence section shows they differ in day of visit, spending and booking lead time. The testing section scores each on size, reachability, likely response and fit with the orchard. The targets section chooses parents of children under five and kindergarten to third grade field trips, and explains why retirees and home-schoolers were set aside for now. The value section estimates weekday revenue each target could add.

MRKT 5003 Module 2 rubric: what full marks look like

Segmentation papers are graded on relevance and sizing. Variable credit requires a variable tied to the behavior the plan must change. The sizing row usually carries significant weight: each segment defined precisely enough to count, sized and sourced. Evidence marks reward showing the segments behave differently. Testing marks go to explicit criteria applied to each segment in turn. Graders give credit for explaining rejected segments. The rest of the MRKT 5003 grade rests on a value estimate, a sizing table and APA 7. Instructors also reward segments defined tightly enough that a reader could count them. A value estimate that multiplies segment size by a realistic visit rate and spending shows graders the targets were chosen on evidence. Graders also reward segments that can be reached through a named channel.

Common MRKT 5003 Module 2 mistakes, and how to avoid them

Segmentation papers most often divide buyers by age and income without asking whether those predict the behavior that matters. Segments that cannot be counted or reached are a second frequent weakness. Students also choose every segment as a target. Pick a variable linked to the problem. Count each segment. Show they differ. Test with stated criteria. Choose two and explain the rest. Estimate what the targets are worth. If your business is a clinic, a fitness studio or a museum, the desk can write that segmentation analysis. Name the source behind each segment's size and its year.

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 American College of Education 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.

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MRKT 5003 Module 2 questions, answered

What does MRKT5003 Module 2 usually ask for?

MRKT5003 Module 2 often asks students to divide the market into segments, size each with evidence and explain why the segments behave differently, usually ending with the targets chosen. Your classroom's instructions decide the number of segments and the criteria.

Which variables should I use to segment a market?

Use the variables that predict the behavior your plan needs to change. If the problem is timing, segment on when buyers are free; if it is price, segment on sensitivity to price. Demographics are useful only when they track that behavior.

Do I have to explain why I rejected some segments?

It usually helps. Naming the segments left out and the reason for each shows that targeting was a choice made on evidence rather than a list of everyone who might buy.

Where can I find a free MRKT 5003 Module 2 sample paper?

Yes, above. Start at "Choosing the Variables"; the MRKT 5003 Module 2 segmentation analysis then turns to "Testing the Segments" and closes on "What the Targets Could Be Worth".

What makes a market segment usable?

It must be measurable, large enough to be worth serving, reachable through channels you can use and different enough in behavior to justify a different offer or message.