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Mac vs
PC People: Personality Traits & Aesthetic/Media Choices
November 24, 2009
Kelly Ford
Content lead, Hunch Inc.
Abstract
á This report examines the differences in
selected preferences and opinions of self-described ÒMac PeopleÓ vs. ÒPC
PeopleÓ, with a particular focus on their respective aesthetic preferences,
media choices, and personality traits.
á The report draws on aggregated data
collected between April 2009 and November 2009 from Hunch, a website which aids
in decision making.
Key Findings
á
Mac
People are more likely to see the existing world in a light of ÒsamenessÓ and
thus express a desire to be perceived as different and unique. This is consistently reflected in their
aesthetic choices such as bold colors, ÒretroÓ designs, one-of-a-kind clothing
and highly stylized art.
á
PC People
are more likely to see the world as Òdifferent enough alreadyÓ and appreciate
Òbeing in tune with those around them.Ó
This is reflected in their more subtle, Òmainstream modernÓ (neither
retro nor extremely contemporary) design choices and their practical choices in
clothing, footwear, and cars that favor getting the job done rather than making
an overt design statement.
á
Media
choices and preferences vary greatly between the two groups, with Mac People
trending toward more independent films, specialized comedians and
design-centric magazines, and PC People trending toward more mainstream
alternatives as well as sports.
á
From a
personality perspective, Mac People are more likely to describe themselves as
ÒverbalÓ, ÒconceptualÓ, and Òrisk takersÓ, with PC People countering that they
are Ònumbers orientedÓ, ÒfactualÓ and Òsteady, hard workersÓ.
Introduction
Hunch is a
website which uses multiple-choice questions to help people make decisions,
whether it's what kind of camera to buy, where to go on vacation, or more than 5,000
other topics.
To arrive at a
customized suggestion for each user, Hunch asks both "topic-specific"
questions (Are you an experienced photographer?, Will you be traveling
with kids?) and also more general/personality-based questions (Do you like snow
cones?, Are you superstitious?, What types of books do you like to
read?) which are called Teach Hunch About You (THAY) questions. There are
more than 1,500 THAY questions in Hunch's question pool, and more than 26
million of them have been answered since Hunch's launch. THAYs help Hunch get to know each user
so that decision outcomes are customized to each individual.
As a by-product of
all the questions being answered on Hunch to make decisions, the response data
is available for analysis in an aggregated and anonymous form. Hunch frequently
blogs about interesting correlations using this data.
Methodology and baseline
The data in this
report relies on both "THAY to THAY" correlations (which might entail
exploring how someoneÕs ÒMacÓ vs ÒPCÓ identification corresponds with their
age, for example), and also "THAY to RESULT" correlations (which
might entail examining how ÒMacÓ vs ÒPCÓ preference corresponds with their
opinions of many different television shows, for example).
More than 76,000
Hunch users have answered the following THAY question...
...which yielded the response
below.
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Note that the
question above was consciously worded to avoid asking users what type of
computer they actually own. The
question thus allows users to self identify with their perceptions of what a
ÒMac PersonÓ or a ÒPC PersonÓ is, regardless of whether they own that type of
computer or not. This is likely
the primary factor explaining the high percentage of self-reported Mac People,
which at 31% is far higher than the estimated Mac market share of approximately 8-10%
in the US (less globally). The
other factor is that this audience of Hunch users (which by definition is using
a new technology) almost certainly has an actual Mac penetration higher than an
average population would.
All secondary
questions were examined within the context of this initial, baseline question,
with the focus on difference between users describing themselves as either
ÒMacÓ or ÒPCÓ. Supporting graphs
also indicate responses given by those users who chose the ÒneitherÓ answer,
although this group is not separately discussed in the data tables.
How Hunch works:

Understanding
the supporting graphs in this report
Each observation in the primary data table provides a link to a
supporting graph in one of two formats. The following explains how to interpret
each respective graphÕs information.
A
ÒTHAY to THAYÓ cross-tabulation graph:

A
ÒTHAY to ResultÓ cross-tabulation graph:
When Hunch users ÔplayÕ a specific topic to arrive at a decision, they
can also rate the result which is proposed to them. This aggregate feedback can then be compared to other
results or THAY questions on Hunch to explore correlations.


Findings:
1.
Items designated with this footnote are based on a
lower sample size. They involve comparing the THAY question about ÒMac vs
PCÓ with the individual 'like or dislike' responses which users can provide for
Hunch decision results within one of Hunch's 5,000+ decision topics.
|
Category |
Question |
PC users trend
towards/are strongly correlated with... |
Mac users trend
towards/are strongly correlated with... |
|
Demo- graphics |
#1 answer: ÒIn the suburbsÓ (26% more likely than Mac
users)
|
#1 answer: ÒMajor CityÓ (39% more likely than PC users)
|
|
|
|
Additional demographic breakdowns follow. Note that for the core demographics outlined below, the two
user groups are similar but not identical. Differences include: self-described ÒMac PeopleÓ are
somewhat younger, slightly more likely to say they are more financially
comfortable, and more likely to be living in North America. The data in this report has not been
normalized to control for these differences. Therefore, while the differences are not extreme, they
almost certainly play a contributing causal role in some of the correlations
explored in this report.




Summary and conclusions
The data in this report supports the conclusion that
someoneÕs self-identification as either a ÒMac PersonÓ or ÒPC PersonÓ has
significant, broad, and distinctive meanings that go well beyond a preference
for a particular type of computer.
ÒMac PeopleÓ strive to actively differentiate
themselves in a world they see as trending towards ÒsamenessÓ. To do so, they associate themselves
with people, objects, design elements, and media that help them express an
individual identity. They
appreciate either very modern or Òretro coolÓ design. They are more likely than self-described ÒPC PeopleÓ to
favor independent movies, comedians which make a strong social statement, and
design-heavy magazines.
ÒPC PeopleÓ think of themselves as team players who
like to be in tune with the world around them. They favor the practical over the theoretical and trend
towards media and entertainers which provide solid entertainment rather than
necessarily a deep commentary on society.
PC People are more likely than Mac People to enjoy sports (both live and
on TV), classically modern (neither retro nor super contemporary) design, and
practical choices in cars and clothing.
It is beyond the scope of this report to substantively
explore the marketing implications of these findings for Apple or Windows-based
computer manufacturers, but a few brief observations will be noted:
¥ The unique design elements of
the Mac play directly into the needs of Mac users as a way to express their
individuality and celebrate interesting design.
¥ There is a real risk at some
point that if Apple continues to be successful growing the MacÕs share of PCs,
Mac People may lose some of the feeling of uniqueness which the Mac provides
for them. If these people begin to
perceive the Mac as banal and mainstream, it could open the door for an
innovative alternative to gain appeal.
¥ ÒPC PeopleÓ focus on the
practical. It would likely be a
mistake for PC manufacturers to consider tradeoffs in computer performance
simply for the sake of a flashier design, because itÕs simply not clear that PC
People really care that much.
¥ To the extent that a given PC
model were to have performance advantages over a Mac, this would likely
resonate well with many self-described PC People. By emphasizing Òfunction over formÓ or Òsubstance over
flashÓ, this marketing messaging would appeal to PC PeoplesÕ appreciation for
down-to-earth functionality and practicality.
As a final note, Hunch users likely have a higher
percentage of Mac ownership than general populations. Still, the very high percentage (31%) of self-described Mac
People in this report compared to the MacÕs actual market share suggests that
at least some of these may be ÒaspirationalÓ users who favorably relate to a
perceived brand image even if they donÕt have a Mac themselves. To test this hypothesis, Hunch will
introduce a new question which explores the actual type of computer that users
own in order to compare the results to the 31% described above.
Methodology and disclaimers
Hunch
was publicly launched in June 2009 and since then millions of people have used
the site. More than 26 million THAY ("Teach Hunch About You")
questions have been answered since that time. The motivation for people to
answer Hunch questions is simply to receive better and more customized
recommendations. For example, for the decision "Which magazine would I
like?", Hunch would suggest a different answer to a "suburban working
mom" than to a "college student in an urban area."
Hunch's
THAY questions are designed to be engaging, innocuous and fun, and they are
interspersed throughout the site so that they can be answered at a user's
leisure. Questions are not grouped by any sort of theme; a common
sequence of 3 might include: "How old are you?", "Can you
juggle?", and "What's your opinion of stem cell research?"
As a result, the Hunch team has found that users enjoy answering the questions
and do so honestly and consistently. There is little reason to answer
dishonestly or attempt to "game" the system, since answers are solely
designed to help the user get better recommendations. This research data is a
by-product of Hunch's core business and mission, which is to provide smart
recommendations to users. (a similar analogy might be the way search engines
release data on popular searches. That data is a by-product of their core
mission to help people find what they are looking for online).
Summary
findings in this report are noted when there is a statistically significant
difference in the answers of the two subsets being compared. Links are
always provided to graph data, which also includes the sample size used for the
question and error ranges based on a 95% statistical confidence level.
Hunch
strives to uncover insights which are interesting, provocative, and which will
stimulate discussion and debate. Hunch does not endorse or favor particular
ideological points of view, and the contents of Hunch reports do not
necessarily reflect the opinions of Hunch as an entity or its staff or
directors.
It
should be noted that Hunch is not a professional research organization and this
data was not collected in a perfectly controlled way. For example, Hunch data
is based on 1) a group of individuals who are by definition all users of the
Hunch website; these users are likely more internet-savvy than the general
population, more open to new technologies, and more interested in social
media. The group, while large at millions of users, has not been weighted
to reflect actual demographic segmentation, and is not necessarily
representative of general populations. 2) Questions on Hunch are
voluntarily answered by users who choose to answer them, and any question can
be selectively skipped. Therefore it's possible that those users who
skipped a question might have different views than those who chose to answer a
question. This said, generally only about 3-5% of users choose to skip a
question when it is presented to them, and the percentage of users who skipped
the question is always included in graph data.
This
and other Hunch reports are available in HTML and pdf formats at www.hunch.com/info/reports.