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Kevin
Gray
Regional Director, ACNielsen Customised
Modelling & Analytics
ACNielsen Australia
In any product or
service category consumers have images of brands and the people
who use them. Brand mapping is a tool marketers can use to
delve beneath the numbers and obtain a rich yet easy-to understand
picture of how consumers see the market.
Questions Brand Mapping Can Answer
As a marketer, you're often faced with questions like these:
- How is our brand perceived by consumers?
- Does this differ from how we perceive it?
- Is our brand sufficiently differentiated from competitors/our
other brands?
- Are there gaps in the market we can exploit?
- What aspects of its image do we need to change to reposition
our brand?
Brand mapping can
help give these insights.
How Does it Work?
In brand image research we typically ask consumers to rate
brands on several attributes relevant to that product or service
category or ask them to indicate which attributes they associate
with which brands. These data can then simply be shown in
cross-tabular form or plotted in a line graph, but there are
two main disadvantages to either of these approaches:
- There is a lot of information to absorb. If, say, you
have 8 brands and 25 attributes that's 200 numbers in a
table or points in a line graph to look at!
- It is not always easy to tell how the ratings are related
to each other.
This second drawback
leads us to the essential idea behind brand mapping, which
is to show findings in a graphical way which can best highlight
the key insights in the data in a clear and uncluttered manner.
In other words, get to the core of the findings so you can
see the wood despite the trees and other associated flora.
There are a variety of statistical methods that can do this,
but the basic notion is known as “data reduction”
in the jargon. Once the underlying dimensions are identified,
dimension “scores” can be computed and the attributes
and brands plotted on these dimensions, usually in a scatter
plot. Thus, you have a picture of consumer perceptions of
the category that are easier to interpret than cross tabulations
or simple graphics, and usually more meaningful as well.
There are approaches to brand mapping specifically, and ACNielsen
will select the one our experience tells us is best suited
to your needs. Perhaps the most widely-used today are Correspondence
Analysis and Bi-plots. While it is true that some mapping
exercises can become quite complex and interpretation can
be difficult, in most cases if you follow these three basic
rules for interpreting brand maps you will gain the most:
- Brands that are close to your brand are the ones consumers
think are most similar to it;
- Attributes located near your brand are the ones consumers
feel characterise it the most (relative to other brands);
those far from it are those they least associate with it;
and
- Attributes near the edges of the map differentiate brands
the most; attributes which do not differentiate, ie that
could be consideredgeneric to the category, are situated
near the center of the map.
A further benefit
of creating the map charting out the positioning of the brands
is that consumer segments, to whom those brands may be targeted,
can also be placed on the map. So long as you get a similar
read on the attributes from the consumers, usually in terms
of the attached importance or relevance to the consumer, you
can see if the targeted segment motivations align with the
attributes of the brands aimed at them. (You don't even have
to use all the attributes, the key ones alone will allow this).
An Example
Let's take a look at an example from an actual (heavily disguised)
study on Chart 1 below. Here we have substituted the original
category with breakfast cereals.
We
can see in this case that SLIM SPECIAL and BRAN PLUS are seen
as healthy, and good for a diet, but as with many “health”
food products the taste is seen as boring.
“Convenient to prepare” is found near the centre
of the map as is thus inferred to be a generic attribute ie
marketing a cereal product on a convenience platform is not
likely to bring about much differentiation from other brands.
“Is mainly for snacks” is more discriminating,
as it is placed on the edge of the map. However, just because
something is discriminating does not mean you would necessarily
want to position using that “benefit”. In this
case positioning as a snack could limit consumption volume
and maybe undermine nutritional messages.
In the study, four key consumer segments were identified linked
to the life stages and needs, and as can be seen in this case
their needs and drives align with brand promises.

Summary
Mapping makes understanding the way consumers perceive the
market and what they want from a category easier and simpler,
and can help provide a more actionable and insightful view
of their perceptions. But a few words of warning – almost
any data set will generate a map. There are a few tests for
statistical rigour, but generally if it does seem to make
sense the most common reasons are that the attributes have
been poorly chosen, the market is more complex and cannot
be summarised in 2 dimensions, or one atypical brand is skewing
the whole map.
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