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Market Segmentation
By
Jerry W. Thomas
When the term “market segmentation” is used, most of us immediately
think of psychographics, lifestyles, values, behaviors, and multivariate
cluster analysis routines. Market segmentation is a much broader concept,
however, and pervades the practice of business throughout the world.
What is market segmentation? At its most basic level, the term “market
segmentation” refers to subdividing a market along some commonality,
similarity, or kinship. That is, the members of a market segment share
something in common. The purpose of segmentation is the concentration of
marketing energy and force on the subdivision (or the market segment) to gain a
competitive advantage within the segment. It’s analogous to the military
principle of “concentration of force” to overwhelm an enemy.
Concentration of marketing energy (or force) is the essence of all marketing
strategy, and market segmentation is the conceptual tool to help achieve this
focus. Before discussing psychographic or lifestyle segmentation (which is what
most of us mean when using the term “segmentation”), let’s
review other types of market segmentation. Our focus is on consumer markets
rather than business markets.
Geographic Segmentation
This is perhaps the most common form of market segmentation, wherein companies
segment the market by attacking a restricted geographic area. For example,
corporations may choose to market their brands in certain countries, but not in
others. A brand could be sold only in one market, one state, or one region of
the United States. Many restaurant chains focus on a limited geographic area to
achieve concentration of force. Regional differences in consumer preferences
exist, and this often provides a basis for geographic specialization. For
example, a company might choose to market its redeye gravy only in the
southeastern U.S. Likewise, a picante sauce might concentrate its distribution
and advertising in the southwest. A chainsaw company might only market its
products in areas with forests. Geographic segmentation can take many forms
(urban versus rural, north versus south, seacoasts versus interior, warm areas
versus cold, high-humidity areas versus dry areas, high-elevation versus
low-elevation areas, and so on). These examples also reveal that geographic
segmentation is sometimes a surrogate for (or a means to) other types of
segmentation.
Distribution Segmentation
Different markets can be reached through different channels of distribution.
For example, a company might segment the “tick and flea collar”
market by selling the product to supermarkets under one brand name, to mass
merchandisers under another brand, to pet stores under another brand name, and
to veterinarians under yet another brand name. This type of distributional
segmentation is common, especially among small companies that grant each
channel a unique brand to gain distribution within that channel. Other examples
of distributional segmentation would be an upscale line of clothing sold only
in expensive department stores, or a hair shampoo sold only through upscale
beauty salons.
Media Segmentation
While not common, media segmentation is sometimes a possibility. It is based on
the fact that different media tend to reach different audiences. If a brand
pours all of its budget into one media, it can possibly dominate the segment of
the market that listens to that radio station or reads that magazine. Media
segmentation is most often practiced by companies that have some control over
the media and can somehow discourage competitors from using that media.
Price Segmentation
Price segmentation is common and widely practiced. Variation in household
incomes creates an opportunity for segmenting some markets along a price
dimension. If personal incomes range from low to high, the reasoning goes, then
a company should offer some cheap products, some medium-priced ones, and some
expensive ones. This type of price segmentation is well illustrated by the
range of automotive brands marketed by General Motors historically. Chevrolet,
Pontiac, Oldsmobile, Buick, and Cadillac varied in price (and status) along a
clearly defined spectrum to appeal to successively higher income groups.
Demographic Segmentation
Gender, age, income, housing type, and education level are common demographic
variables. Some brands are targeted only to women, others only to men. Music
downloads tend to be targeted to the young, while hearing aids are targeted to
the elderly. Education levels often define market segments. For instance,
private elementary schools might define their target market as highly educated
households containing women of childbearing age. Demographic segmentation
almost always plays some role in a segmentation strategy.
Time Segmentation
Time segmentation is less common but can be highly effective. Some stores stay
open later than others, or stay open on weekends. Some products are sold only
at certain times of the year (e.g., Christmas cards, turkeys, fireworks, cranberry sauce). Chili is
marketed more aggressively in the fall, with the onset of cooler weather.
Football is played in the fall, basketball in the winter and spring, and
baseball in the spring and summer (or at least this used to be the pattern).
The Olympics come along every two years. Department stores sometimes schedule
midnight promotional events. The time dimension can be an interesting basis for
segmentation. In addition to the foregoing, markets can be segmented by
hobbies, by political affiliation, by religion, by special interest groups, by
sports team loyalties, by universities attended, and hundreds of other variables.
You are only limited by your marketing imagination.
Psychographic or Lifestyle Segmentation
Lastly, we come to psychographic (or lifestyle) segmentation, based upon
multivariate analyses of consumer attitudes, values, behaviors, emotions,
perceptions, beliefs, and interests. Psychographic segmentation is a legitimate
way to segment a market, if we can identify the proper segmentation variables
(or lifestyle statements, words, pictures, etc.). Qualitative research
techniques (focus groups, depth interviews, ethnography) become invaluable at
this stage. Qualitative research provides the insight, the conceptual
knowledge, and the consumer’s exact language necessary to design the
segmentation questionnaire. Typically, verbatim comments from consumers are
used to build batteries of psychographic or lifestyle statements (these two
terms are used interchangeably). A large representative sample of consumers
(generally, 1,000 or more) are then asked about the degree to which they agree
or disagree with each statement. For example, if you were designing a market
segmentation questionnaire for an airline, you might conduct a series of depth
interviews to help design the questionnaire. You probably would include a
behavioral section (frequency of flying, how purchased tickets, who traveled with,
cities flown to, where sat, airlines flown, money spent on airline tickets,
etc.). You would include a major section on attitudes toward air travel
(motivations for air travel, fears related to air travel, positive emotions of
flying, attitudes about airline employees, checking luggage, buying tickets,
and so forth). You would also want to include a section on perceptions of the
different airlines; that is, their “brand images.” You could go
further and add a section on media consumption, or personal values, as well. It
is at this point that you realize the questionnaire is too long, and you have
to make some hard decisions about what questions or statements to include.
The method of data collection is very important, because the questionnaire is
so long (often 45 to 90 minutes in length). The telephone is not recommended
for segmentation studies because of questionnaire length. Moreover, the various
rating scales and attitudinal statements are difficult to communicate by phone,
and the resulting phone data tends to be “insensitive” and rife
with “noise.” In-person interviews or Internet-based interviews,
or even mail surveys, are much better. Rating scales and attitudinal statements
can be seen and fully comprehended by respondents. Seeing is much better than
hearing, and it produces more accurate answers. The Internet is especially
valuable for segmentation studies, since respondents can take the survey at a
time of their own choosing, when they can give it their full, undivided
attention. A mail survey offers some of the same advantages, but without the
questionnaire controls, checks, and safeguards built into an Internet survey.
Analytical Methods
Most segmentation analyses are based upon various types of “cluster
analysis,” a set of well-defined statistical procedures that group people
according to the proximity of their ratings. Unfortunately, cluster analysis
(regardless of its many types and forms) has inherent limitations and seldom
yields coherent market segments. Cluster analysis routines ignore the pattern
of respondent ratings and rely primarily upon the proximity of respondent ratings.
Too often this leads to clusters, or market segments, that don’t seem
to make much sense when crosstabulated against the original segmentation variables.
Another limitation of clustering approaches is that all statements are treated
as equal; whereas, in truth, some statements might be much more important than
others in explaining consumer behavior in a particular product category.
A better way to achieve a good psychographic segmentation is to first identify
the statements that are more important (i.e., the statements that tend to
explain or cause specific consumer behaviors). Correlation analysis and
regression can be used for this purpose. Factor analysis is also a powerful
technique to identify the statements and groups of statements that account for
much of the variance in the attitudinal data set. Directly and indirectly,
these techniques can help you identify the most important statements (i.e.,
attitudes, perceptions, values). Then, these statements become the inputs to
the final segmentation analysis. Many different methods can be used to
“cluster” or group the statements at this point. The final step is
to attach a segment code to each market segment identified and then crosstab
all of the questionnaire variables by the segments. You must then study the
segments and the attitudes/statements that make up each segment to make sure
they make sense and hang together. If the segmentation results don’t make
sense, then you have to go back, change some of your assumptions or methods,
rerun the analysis, and repeat the crosstab exercise to apply the “common
sense” validity check.
Common Mistakes
Segmentation studies tend to be large and complicated, so it’s easy for
errors and mistakes to be made. Some of the most common mistakes:
- Segmenting a segment. For example, someone might want
to segment the market for widgets
among 18- to 24-year-olds who live in Vermont and buy brand XYZ. As is evident,
the client is asking that a tiny sliver of the market be segmented. True, this
tiny sliver can be segmented, but rarely are the resulting segments of any
value, because they are just too small. General rule: segment the whole market,
including all age groups. The market should be broadly defined for a
segmentation analysis to be most effective. In other words, don’t
preordain the results by sampling restrictions.
- Overlooking the “universals.” Many
attitudinal statements in the questionnaire will not show up in the final
segments, because they tend to be the same across all segments. Statements that
everyone agrees with, or everyone disagrees with (we call them
“universals”) cannot explain much in the multivariate analyses.
Variables have to move up and down for the multivariate analysis to work. The
highest rated variables, and the lowest rated, are likely to fall out of the
multivariate analyses. However, you should always look at these universal
statements. Any one of them might be the basis for a positioning or a strategy
that would appeal to everyone. If you find something unique that appeals to
everyone, the heck with segmentation. Go for the whole hog.
- Creating too many segments. There is a practical
limit to the size of segments that companies can effectively target. If you
create more than four or five market segments, you run the risk that the
resulting segments will be too small to target, at least by mass media. This is
not always true, but it is a good rule of thumb.
- Targeting all segments. So you have carefully
subdivided your target market into five mutually exclusive psychographic
segments, and your boss tells you to develop a marketing plan to attack each
segment. If all of your marketing is direct mail, and you can identify the
addresses that belong to each segment, then you can attack all segments
(assuming your product is relevant to all segments). But, if you use broadcast
media in marketing your product, it is very difficult to target multiple
segments because of media “spillover.” What you say to one segment
will be muddled and confused by the different messages targeted to other
segments.
- Confusing the results. Segmentation studies are large
and complicated, with enormous amounts of data. It is easy to get lost in this
treasure trove of answers and come up with confusing and baffling results.
- Overlooking the basics. The dazzle and glitter
of the advanced, rocket-science multivariate analyses attract everyone’s
attention. No one ever opens up the crosstabs and looks at the answers to
the hundreds of questions asked. Often, hidden in plain view in the plain
old crosstabs are tremendous findings that could form the basis for new or
improved marketing strategies, advertising campaigns, or new products. Rarely
does anyone analyze this basic data, however.
- Targeting people instead of dollars. A market segment
might represent a large percentage of the population, but a small part of the
market. Always look at the dollar potential of market segments, not just the
number of people in the segments.
Nonmutually Exclusive Segments
Virtually all segmentation work, historically, has been based upon the
assumption of mutually exclusive market segments. The mutually exclusive model,
however, does not always apply to psychographic or lifestyle segmentation
(since most of us hold many overlapping and/or conflicting beliefs and
attitudes). Therefore, it is wise to develop two distinctly different
segmentation solutions: one based upon mutually exclusive segments and one
based upon overlapping segments. Both of these segmentation
“solutions” should be crosstabulated by the original questionnaire
variables to identify which type of solution yields the most meaningful (and
actionable) market segments.
Final Thoughts
The concept of market segmentation is sound. It’s a way to apply greater
marketing energy or force to a subset of the market. A great deal of money is
wasted on psychographic segmentations that never lead to any marketing actions.
If you segment the market by psychographics, there are several essential uses
of the segmentation: first, target your brand to the largest segment with relevant
brand fit (or even target two closely related segments) by media
advertising and message. That is, the advertising message is the
way to reach the psychographic segment (rarely can a psychographic segment be
defined by demographics or geography). Second, segmentation can provide the
guide rails for brand positioning. That is, positioning assumes, or takes place
in relation to, a target market segment; you are positioning your brand in relation
to a market segment. Third, the segmentation can define opportunities for new
products targeted to each psychographic segment. That is, the market segments
can be a template for new product development. For example, if you find that
15% of the U.S. population belongs to a “safety first” segment when
it comes to buying cars, then you can design and build the safest car in the
world to target this segment. So psychographic segmentation’s greatest
value lies in positioning, targeting via advertising message, and defining new
product opportunities. Go forth and segment.
Copyright © 2007 by Decision Analyst, Inc.
This article may not be copied, published, or used in any way without written
permission of Decision Analyst.
About the Author
Jerry W. Thomas (jthomas@decisionanalyst.com)
is President/CEO of Dallas-Fort Worth based Decision Analyst. He may be reached
at 1-800-262-5974 or 1-817-640-6166.
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