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The Marketing and Use of Skin Care Products in Taiwan:Development of Consumer Profiles and
Marketing Strategy Suggestions forSK-II Users in Taipei
Participants:
Scott Anderson 94933029 安思河Scott Lin 93932919 林文淵
Bill Hsiun 93932906 熊肇峰Helen Lin 95933004 林靜慧
Advisor:Prof. Charles Trappey, Ph.D.
Marketing Research ProjectInternational MBA
National Chengchi UniversityTaipei, Taiwan
January 2007
Table of Contents
Introduction....................................................................................................................................................4
Objectives........................................................................................................................................................5
Hypotheses.......................................................................................................................................................5
Methodology....................................................................................................................................................6
Sampling...................................................................................................................................................6
Analytical Procedure................................................................................................................................7
Review of the Literature................................................................................................................................8
Skin Care in Taiwan.................................................................................................................................8
Skin Whitening..................................................................................................................................8
Anti-Aging/Anti-Wrinkle...................................................................................................................9
Celebrity Spokesperson....................................................................................................................9
Distribution.............................................................................................................................................10
Competition............................................................................................................................................11
Marketing Approach...............................................................................................................................11
Results............................................................................................................................................................13
Sociodemographic and Psychographic Consumer Characteristics.........................................................13
Consumer Profile....................................................................................................................................15
Motivations for Purchase........................................................................................................................17
Product Characteristics...........................................................................................................................18
Purchase Channels..................................................................................................................................18
Discussion......................................................................................................................................................20
General Profile........................................................................................................................................20
Suggestions for the Marketing of SK-II.................................................................................................21
Potential Limitations and Future Studies...............................................................................................22
Conclusions...................................................................................................................................................23
Key Words.....................................................................................................................................................24
References.....................................................................................................................................................25
Appendix – I : Survey Sample....................................................................................................................27
Appendix – II: Product Pricing..................................................................................................................29
Appendix - III: Statistics Summary............................................................................................................29
Appendix - III: Statistics Summary............................................................................................................30
Appendix IV –Statistics Results..................................................................................................................33
SK-II 3
Introduction
SK-II is a leading, high-end beauty brand with a wide array of skin care products.
Created by MaxFaxtor, the brand was acquired by Proctor & Gamble in 1991. “SK”
stands for “Secret Key,” referring to an ingredient present in all SK-II products – pitera –
a yeast-based substance containing a variety of vitamins, minerals, amino acids and
organic acids that “enhance skin surface renewal,” the secret to smooth and beautiful skin
(SK-II, 2006). Legend has it that pitera was initially discovered by a Japanese monk
who, visiting a sake brewery in Kobe, discovered that the workers all had silky and
youthful hands. The observation led to an investigation, which eventually revealed the
substance.
In Taiwan, SK-II skin care products maintain high market share – over 10% – and
relatively high prices (see Appendix II), but this leading position may be weakening in
the face of increasing competition in the skin care product industry. For example, in
2006, SK-II lost its number-one rank at department stores’ annual anniversary sale event
to Sisley, a brand offering similar products (Zhuo, 2006).
Given the intense competition in the skin care product industry, it is expected that
strategies for marketing channels will become more complicated, brand images will
become more important, and demand for sophisticated and expensive products will
increase. Increased competition has been damaging to SK-II market share holding, but
this competition also reflects great market potential arising from trends in Taiwanese
socio-demographics.
The purpose, then, of this study is twofold: 1) to develop material in relation to
the consumption of skin care products in Taiwan in an attempt to understand the
sociodemographic characteristics of SK-II consumers, as well as their product attribute
preferences and reasons for purchase, and 2) to use this information to suggest strategies
for the continued marketing of SK-II in Taiwan.
Objectives
To understand consumer preference in SK-II purchase in the Taipei metropolitan area
To develop a SK-II consumer profile in Taipei, attempting to explain the socio- and
psycho-demographic characteristics of that consumer and channels through which they
purchase
To identify the reasons why SK-II consumers make their purchases
To identify the most important SK-II product characteristics
To propose ways in which the marketability of SK-II can be increased
Hypotheses
Differences Between SK-II Users and Non-Users
1. There are differences in the sociodemographic profiles of SK-II users and non-users.
2. There are differences in the psychographic (motivation) profiles of SK-II users and
non-users, including reasons for purchase and the importance of certain product
characteristics.
3. SK-II users spend more annually on skin care products than non-users.
4. SK-II users tend to purchase their skin care products from department stores more
often than non-users.
Importance of Product Characteristics for SK-II Users
1. The most important SK-II product attribute is product ingredient.
SK-II 5
2. Other important product attributes are related to the product’s functionality
(whitening, anti-aging, moisturizing) as well as to the appeal of the product
spokesperson, who looks younger than her age.
SK-II Users’ Reasons for Purchase
1. The most important SK-II reason for purchase is the origin of the product – Japan,
rather than the brand.
2. Other important reasons for purchase are related to promotional activities such as
department store anniversary sales.
Methodology
Sampling Rather than randomly sampling skin care product distribution channels
throughout Taipei, survey data were collected from a targeted group of respondents in
order to focus the ability to interpret the results of data analysis. Based on the resources
available and due to time and permission restrictions, local female respondents from
Taipei were selected. In addition to meeting general gender and residency requirements,
target respondents were selected based upon their apparent age. SK-II is marketed as a
brand that rejuvenates and radiates aged, dull skin within a short time period.
Respondents with surveyor-perceived age between 25-45 were target with the assumption
that younger Taiwanese women do not seek to “take years off” of their complexion.
Surveys were conducted according to a questionnaire (Appendix A) designed by
the authors and collected in two stages. The questionnaire was designed with the intent
to collect information relevant to the hypotheses stated above; survey sections on
respondent sociodemographics, purchase frequency and price range, the importance of
certain product attributes (including product ingredients, varying functions, and
associations with celebrity spokespersons), reasons for purchase (including product
origin, brand, and promotion activities) and purchase channel reflect this intent.
SK-II 6
The first stage of data collection focused on determining SK-II market share while
the second stage enabled statistical testing between users and non-users. In the first
stage, a sample of 96 skin care product consumers was collected. Of this sample, 10.4%
of respondents were SK-II users, which was expected given the market share data. In
order to facilitate statistical analysis, additional SK-II user responses were collected with
a second stage of data collection, increasing the total sample size (n=106, user=20, non-
user=86).
Analytical Procedure
Survey responses were compiled into a Excel 2003 and Minitab 14 databases for
overall analysis and statistical hypothesis-testing. All data were analyzed for mean,
standard deviation, and coefficient of variation, where appropriate, as well as median and
mode values, to begin the descriptive process. Additionally, Mann-Whitney and Chi-
square tests were performed, frequency tables designed, and distribution histograms
created.
SK-II 7
Mann-Whitney and Chi-square tests were used to test each variable for median
differences between SK-II users and non-users in order to evaluate the first group of
hypotheses regarding inequalities between groups. Mann-Whitney is a good choice in
cases of ordinal data (the majority of survey responses) because it tests for differences
between medians not means, while Chi-square allows for statistical comparison of
nominal response data. A t-test of difference between means was performed for the ratio
data (annual spending on skin care products) after making assumptions about the
normality of this data.
Review of the Literature
Skin Care in Taiwan
In Taiwan, increases in the living standard and national income, along with
changes in consumption patterns, have given rise to an expanding market for cosmetics
and toiletries, with foreign firms supplying about 80% of demand (Chou, STAT-USA,
Sep. 1, 2004). According to statistics published by Taiwan’s Industrial Development
Bureau, the 2003 US$545.4 million cosmetics and toiletries market share for skin care
products, including medicated or whitening products, was 47% of all cosmetic products
(Chou, STAT-USA, Aug. 16, 2004), and has only increased over time.
Within the skin care sector, the greatest demand is for medicated cosmetics, i.e.
whitening products, sunscreen products, and anti-aging products. Skin care products
present a market worth over NTD 20 billion in Taiwan, with anti-aging products
comprising half (NTD 13.2 billion) of that market (Big Century, 2006). In 2003, annual
growth rates of this segment were projected at 7 to 8 percent (Chou, STAT-USA, July 29
2003).
SK-II 8
Skin Whitening
Skin whiteners and skin care products dominate in Taiwan, playing a considerably
bigger role than cosmetic colorants (makeup). Whitening products make up 36% – over
one-third – of the total skin care market in Taiwan (Zhuo, Liberty Times, 2006).
Reportedly, there is a perception that Japanese skin care products are more suitable for
Asian skin types that drives many Taiwanese consumers to choose Japanese products
over U.S. and European products (Chou, STAT-USA, September 1, 2004). SK-II (made
in Japan), Shiseido and Shu Uemura are noted as the most popular brands. Estee Lauder
and L’Oreal have also introduced skin whitening product lines for Asian people. The
market for sunscreen and whitening products is expected to expand by about 10-12% per
annum over the next three to five years (Chou, STAT-USA, September 1, 2004).
Anti-Aging/Anti-Wrinkle
Similar to Japan, where by 2010 some 25% of the population will be aged 65 or older,
Taiwan is also an aging population (Euromonitor International, 2005). This trend is
expected to lead to increased demand for anti-aging products among older consumers
looking to minimize wrinkles on their faces. At the same time, younger consumers in
Taiwan are increasingly using anti-aging skin care products. Qiu Qiaozhen, writing in
Liberty Times , suggests that the potential customer base for anti-aging products in
Taiwan is growing as increasingly-younger women feel the need to stay young(Chou,
STAT-USA, September 1, 2004).
Celebrity Spokesperson
Does beautiful celebrity spokesperson really work for SK-II in driving sales
performance? Study indicates that inference and attitude formation can substantially
mediate behavior intention (Mitchell and Olson, 1981). The use of physical
attractiveness in making inferences begins early in life, as early as Nursery school
children. They evaluate their class mates in a manner similar with the adult to make
stereotype for physical attractiveness (Dion and Berscheild, 1971).
SK-II 9
However, female and male react differently to the attractive spokesperson.
Though male produce higher acceptance for the attractive female model than female, it is
apparent that attractive endorser would have more credibility over unattractive endorser
(Baker and Churchill, JMR, 1977). This is the reason why attractive celebrity or
spokesperson may incur extra cost, but the beauty industry is still allocating marketing
budget to hire beautiful spokesperson to endorse their skincare product.
Given that credibility of the product can be enhanced through spokesperson, other
study also shows that the credibility of the corporation is significantly more important
than the spokesperson. In other words, spokesperson has considerable less impact when
it comes to making their actual purchase (Lafferty and Goldsmith, 1999)
Distribution
There are four primary outlets for skin care products in Taiwan:
(1) Department Stores such as Sogo and Shin Kong Mitsukoshi remain the
primary channel for cosmetics sales of high-quality and internationally-branded products.
New-to-market products compete with existing international brands represented in this
channel. Around 42% of total cosmetics sales occur at Taiwan’s 65 major department
stores (Chou, STAT-USA, September 1, 2004). In department store distribution
channels, one product manager suggests that SK-II maintains market share of 11-12%,
making it the number-one skin care product brand in Taiwan (Big Century, August 19,
2006).
(2) Specialty stores, covering a range of drugstores and discount stores such as
Sasa, Marsa, Cosmed, and Watson’s, offer more than 10% market share of total
cosmetics sales in Taiwan, attracting customers through competitive pricing (Chou,
STAT-USA, September 1, 2004).
SK-II 10
(3) Beauty and skin care salons account for approximately 15% of cosmetics
sales in Taiwan and appeal to an increasing number of consumers who are able to invest
in beauty programs and are interested in purchasing products only found at the salons or
prescribed by dermatologists for the treatment of aging and sunspots (Chou, STAT-USA,
September 1, 2004).
(4) Direct sales account for about 22% of all cosmetic sales in Taiwan. Recent
figures indicate that there are 3.5 million people working for the 600 "direct sales”
businesses in Taiwan, which specialize primarily in health foods and cosmetics products
(Chou, STAT-USA, September 1, 2004).
Competition
At the same time, the competition is mounting. In the past, European, U.S. and
Japanese brands shared the skin care product market, but recently local brands have also
entered the competition, now meeting more than 6% of Taiwanese demand for skin care
products (Chou, STAT-USA, July 29, 2003). Japanese brands entered the market early,
with brands such as Shiseido, Shu Uemura, Kanebo and Kose and Pola Cosmetics now
well recognized. Western brands, including L'Oreal, Estee Lauder, Unilever and Proctor
& Gamble's brand lines are also now well established. There are over 100 brands
competing in Taiwan (SaSa, 2007). Max Factor's SK-II and Oil of Olay's Olay White
Radiance (both P&G brands), account for a combined 16.5 percent share of the total skin
care market in Taiwan (Chou, STAT-USA, July 29 2003). According to Qiu Liling, SK-
II’s current market share is about 10%, dropping from an earlier 13-14% share as a result
of fierce competition (Qiu, 2006).
Marketing Approach
According to trends in Taiwanese sociodemographics, manufacturers have
attempted to segment consumers by age in attempt to build market, such that since 2004,
consumers in their mid-to-late twenties have been encouraged to begin using anti-aging
SK-II 11
products to prevent wrinkles before their formation, rather than in reaction to them
(Euromonitor International, 2005). Women aged 18 to 44 (population 4.7 million)
represent 70 percent of the consumer base for skin care products. While the market for
anti-aging skin care products aimed at women aged 35 and older is strong and the upper-
end anti-aging products reflect increasing levels of disposable income (Chou, STAT-
USA, July 29 2003), increasingly younger Taiwanese women are also purchasing anti-
aging products.
The major firms noted above deliver products to consumers through sales outlets
in department stores and focus their marketing strategies on specialty stores for their
prestige products. These firms have invested heavily in building brand advertising
campaigns using promotions in local TV, newspapers and magazine ads. Celebrities of
have also been hired as brand spokespeople intended to attract consumers of a similar age
(Euromonitor International, 2005). Reportedly, brands and brand loyalty generally
influence Taiwan consumers’ purchasing behavior, as do pricing, discounting and sales
promotion activities (Chou, STAT-USA, Aug. 16, 2004).
SK-II 12
Results Sociodemographic and Psychographic Consumer Characteristics
The results presented in Table 1 include the numerical variable annual
expenditures on skin care products, as well as categorical variables gender, age, marital
status, education, location, and frequency of purchase. Of these seven characteristics,
three exhibit significant differences between SK-II users and non-users, based on
significant difference testing at the 95% probability level and on sampling design.
Variable Difference Between Users and Non-Users?
Gender*** NoAge** NoMarital Status** YesEducation** NoLocation*** NoFrequency of Purchase** YesAnnual Expenditure on Skin Care* Yes
Table 2 presents the results of significant difference testing of the variables
related to a) the reasons consumers decide to purchase skin care products, and b) the
characteristics consumers look for in these products once the decision to buy has been
made. The results indicate that both consumers’ reasons for purchase and the value they
place on certain product attributes vary between SK-II users and non-users in some
regards.
Between SK-II users and non-users, the median differed in the respondents’
evaluations of the importance of quality and anti-aging functionality as attributes of skin
care products. Significant differences between users and non-users also exist in the
proportions of each group indicating impulse, recommendations from the sales-counter
representative, promotional activity, and product origin as reasons for purchasing skin
care products.
Table 1. Significant difference test results for sociodemographic variables. Taipei. December 2006.
*Mann-Whitney test result; **Chi-square test result;***Statistical test of difference not performed - 100% of Sample Represented By Response
Variable Difference Between Users and Non-Users?
Reasons for Purchase* Advertisement No Impulse Yes Referred by friends and family No Just out of stock No On Sale at a Department Store No Just happen to see it in the shopping center No Fashionable No Really like it when browsing around No Recommended by the sales Yes Promotion Yes Branding No Made in Japan YesImportance Rating of Product Attributes** Price No Formula No Quality Yes Whitening Function No Anti-Aging Function Yes Moisturizing Function No Reputation No Packaging No Product Design No Spokesperson (蕭薔) No Spokesperson (劉嘉玲) No Post Purchase Services No Sales Rep's Attitude and Information No Attractive Promotion No Great Ads No
Based on the results of Tables 1 and 2, it is apparent that the two consumer groups
are similar but not identical (numerical results of all statistical tests performed can be
found in Appendix III). Therefore, the analysis following is performed for SK-II users
and non-users separately, rather than as an aggregated group.
Table 2. Significant difference test results for psychographic variables. Taipei. December 2007.
*Chi-square test result; **Mann-Whitney test result
Consumer Profile
The consumer profile of the Taiwanese skin care product consumer, classified by
usage of the SK-II brand, is presented in Table 3. Mean values are presented for the
continuous, numerical variables. Median values are given for the ordinal variables to
more accurately reflect the importance that the SK-II consumer places on skin care
product attributes and reasons for purchase. Understanding that there are significant
differences between users and non-users, the consumer described by these results is
generally in an age range between 25~35, single, well educated; and purchases skin care
products out of referrals, loyalty, and department store sales.
Table 3 – Data Summary USER NON-USERMean St. Dev. C.V. Mean St. Dev. C.V.
Soci
o-de
mog
raph
ics
Annual Skin Care Exp. ($NT) 8625 4538.94 0.526 5010 3611.052 0.721 Median Mode Median ModeGender Female (100%) Female (100%)Age (yrs.) 30-35 25-30 30-35 25-30Marital Status Single (90%) Single (52%)Education College/University (90%) College/University (71%)Frequency of Purchase (1 purchase every...) 1-2 months (40%) 3-4 months (36%)
Median Median
Impo
rtan
ce o
f Pro
duct
Attr
ibut
es
Price Important ImportantFormula (Pitera) Important ImportantQuality Very Important ImportantWhitening Function Important ImportantAnti-Aging Function Very Important ImportantMoisturizing Function Very Important Very ImportantReputation Important ImportantPackaging Neutral NeutralProduct Design Neutral NeutralSpokesperson (蕭薔) Unimportant Unimportant
Spokesperson (劉嘉玲) Unimportant UnimportantPost Purchase Services Neutral ImportantSales Rep's Attitude and Information Important ImportantAttractive Promotion Important ImportantGreat Ads Neutral Important
3 Most Important (% of sample placing in personal top 3)
Moisturizing Function (50.0%) Moisturizing Function (40.7%)Quality (45.0%) Quality (38.4%)Anti-Aging Function (30.0%) Price (31.4%)
SK-II 15
Rea
sons
for P
urch
ase
% Indicating Variable as … % Indicating Variable as …Advertisement 30% 19%Impulse 25% 8%Referred by friends and family 90% 74%Just out of stock 60% 63%On Sale at a Department Store 60% 45%Just happen to see it in the shopping center 10% 6%
Fashionable 10% 10%Really like it when browsing around 20% 8%Recommended by the sales 0% 17%Promotion 60% 34%Branding 55% 41%Made in Japan 25% 6%
3 Most Important (% of sample placing in personal top 3)
Referrals ReferralsOn Sale At Department Store Just Out Of StockJust Out Of Stock / Branding On Sale At Department Store
Purc
hase
Cha
nnel
Department Store 90% 50%Drug Store 10% 21%Grey Market 0% 13%Direct Sales 5% 45%Open Market 5% 10%Hypermarket 0% 9%Open Rack 5% 33%Convenience Drug Store 55% 52%Internet 20% 30%
Motivations for Purchase
The results of statistical testing in combination with Chart 1, it suggests that SK-II
consumers purchase skin care product more often with impulsive reasons, because the
product is subject to some form of promotion, and because the project is one of Japanese
origin. This is the opposite case with recommendations by sales counter representatives,
where non-users cite these recommendations as reasons for purchase while user do not.
Beyond the differences in users and non-users, over 75% of all respondents indicate a
friend or family member’s referral in driving a purchase decision, and nearly half of
respondents consider both department store sales and a product’s brand as reasons for
purchase. Many consumers, over 60%, purchase skin care products simply because they
were “just out of stock.”
Chart 1
Chart 1. Reasons for skin care product purchase. Taipei, Taiwan. December 2006.
SK-II 17
Product Characteristics
Once the decision to purchase skin care products has been made, consumers
generally consider moisturizing functionality to be of primary importance in selecting
products (Table 4), followed by quality. Interestingly, SK-II users consider anti-aging
functionality to be third most important while non-users consider price as more
important.
According to the results of Table 4, SK-II users consider quality and anti-aging
functionality as two “very important” product characteristics, while non-users consider
these same variables only as “important,” results which are significant at the 95%
confidence level.
Beyond differences in groups, respondents generally do not consider packaging,
product design, or – interestingly for the SK-II brand – the spokesperson representing the
brand to be particularly important product attributes, but do consider important a wide
range of other attributes: price, product ingredients (formula), whitening functionality,
brand reputation, the sales representative’s attitude, and attractive promotion.
Table 4Top 3 Most Important Attributes
USERS NON-USERS
#1 Moisturizing Function
Moisturizing Function
#2 Quality Quality#3 Anti-Aging Price
Purchase Channels
The data in Table 3, again in the context of statistical difference testing noted
above, suggest that SK-II users generally purchase their skin care products at department
stores, while refraining from purchase through direct sales (SK-II is not sold on a direct
sale basis) or from open rack channels. However, 30-40% of non-users purchase their
skin care products through each of these channels. Skin care product consumers, user
SK-II 18
and non-user alike also tend to purchase at convenience drug stores (53%) and via the
internet (28%).
Chart 2 – Skin Care Product Purchase Channel
Chart 2. Skin Care Product Purchase Channels. Taipei, Taiwan. December 2006.
SK-II 19
Discussion
General Profile
Socio-demographics
Based on the results of statistical difference testing and in evaluating the
consumer profile, it becomes apparent that the female Taipei-based skin care product
consumer is similar, although not identical, between SK-II users and non-users. The
average consumer is well educated, between 25 and 35 years old, and unmarried. This
profile is expected, being similar to that established in previous literature.
What socio-demographic differences do exist between SK-II users and non-users
might be generally attributed to wealth, as users appear to have a greater level of
disposable income suggest by greater annual spending on skin care products.
Reasons for Purchase
Nearly three-fourths of the surveyed consumers purchase skin care products
considering referrals by friends and family as a reason for purchase. This reason is
perhaps the most widely understood motive, users and non-users alike, for purchasing
generally amongst Taiwanese women (Hedrick-Wong, 2006). Other particularly
important reasons for purchase amongst these consumers include department store
anniversary sales, the branding of the product, and because consumers had simply “run
out of stock” of their product. Loyalty, then, appears to be an important motivation for
purchase.
Important Product Characteristics
Once a consumer decides to purchase skin care products, whatever the reasoning,
the characteristics sought after become quite apparent. Again, some important
differences exist between SK-II users and non-users exist, but the importance of quality
and functionality is evident amongst all respondents. A majority of respondents indicated
quality to be at least an important, if not very important, product characteristic, while at
the same time indicating moisturizing, anti-aging, and whitening function, as well as
product formula as at least important. In conjunction with importance of word-of-mouth
SK-II 20
referrals in motivating purchase, the data indicate that products must work well to sell
well, at least in Taiwan.
As established in previous literature, price also continues be a key product
characteristic; important to the extent that price segments SK-II users from non-users.
While both groups indicate price to be an important product characteristic, users tend to
spend more on skin care than non-users, and at least some of that spending is on SK-II
products. Interestingly, and unexpectedly, spokesperson affiliation was indicated by
respondents to be an unimportant product characteristic, even amongst SK-II users
themselves.
Extending the Profile
In the event of a lack of resources devoted for site-specific marketing and
development, the consumer profile for Taipei skin care product consumers may be
generally comparable enough to create a common marketing strategy for Taiwan.
Additionally, the profile more or less fits with the consumer profile suggested by
previous research.
Suggestions for the Marketing of SK-II
Re-expanding, or at least maintaining, SK-II market share in the face of
increasing competitive pressures will require sustained marketing efforts. The results of
this project, however, suggest that such efforts need not preserve the content or style of
previous campaigns completely. As loyalty to brand motivates Taipei consumers’ skin
care product purchases, retention of current SK-II users is critical in future marketing
endeavors. An SK-II membership program might be created that could stimulate
frequent purchase through members-only promotions and harness the power of referrals
by rewarding members who convince others to join.
However, with an evolving and expanding potential consumer base in Taiwan,
SK-II marketers would do well to consider altering previous campaigns to better match
the preferences and socio-demographics of new potential customers. Specific targeting
of the yet-untapped seniors market as well as focused marketing for relatively young
Taiwanese women is in order. Moreover, because over half of current non-users
SK-II 21
purchase at least some skin care products through convenience drug stores, marketers
might do well to broadened distribution possibilities as well.
Importantly, product spokespersons are not valued by either users or non-users in
driving purchase; while the traditional SK-II ad style and celebrity spokespersons may
have been extremely effective in the past, they are not as relevant today. Survey results
suggest a reduction in TVC budget. Japanese origin, while more important for current
users than current non-users, does also not register high on consumers’ evaluation of
importance. The ingredient Pitera, the “secret key,” should still be emphasized in
marketing communication given consumers’ perceptions of the importance of quality and
functionality. However, the Japanese origin of the product need not be included in such
communication, provided that perception of the SK-II brand and its meaning is not
significantly linked to its Japanese origin; Taiwanese consumers perceive both brand and
reputation to be important element of their skin care product purchase, and changing the
meaning of the SK-II brand would be potentially disastrous.
Potential Limitations and Future Studies
The majority of the sources of error for this study are related to the survey
process. First, different surveyors invariably used different techniques to obtain their
data. Some surveyors carried out each interview verbally, recording the answers
themselves. Others handed the surveys to the respondents and asked them to fill them out
while the surveyors waited. Still others handed the surveys to respondents, left, and came
back later to collect the completed surveys. This inconsistent sampling technique
probably resulted in varying interpretations of some questions by respondents, and it also
allowed some surveys to be filled out incompletely. To avoid this, a standard
interviewing procedure to be followed by all interviewers should be established before
future data collection is started.
Another challenge related to the data-collecting process is language translation.
Questionnaire forms were distributed in Chinese, while findings have been presented here
in English. The authors have made assumptions about respondents understanding of
survey questions and attempted to translate the meaning of each variable correctly, but
invariably cultural and language usage differences provide room for miscommunication.
SK-II 22
This problem is inherent in the study and probably cannot be avoided, but it is important
to identify.
Hopefully, the results of this work will motivate others in Taiwan to explore
cosmetic product consumer preferences in a systematic manner in order to inform the
expansion of such markets. Future research must be conducted to adequately address the
interactions of multiple factors influencing the cosmetic product market. Interesting and
pertinent topics within this market might include: the effects of income on cosmetic
expenditures; the effects of consumers’ reasons for purchase on expenditures; and
comparisons of other, similar brands, product types, or distribution channels to SK-II.
Conclusions
The hypotheses of difference between SK-II users in terms of socio-demographic and
psychographic characteristics can only be partially accepted. While consumers are
similar, they are not identical. SK-II users spend more annually on skin care products,
and tend do to more shopping than non-users for such products at department stores.
The primary factor influencing the decision to purchase skin care products is referral
by friends or family members, while moisturizing functionality and quality are the most
important product characteristics in the consumer’s opinion.
SK-II 23
Key Words
Skin care products, SK-II, Taipei, Taiwan, marketing, consumer preference,
celebrity spokesperson,
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Chou, Angeli, “Market Brief: Cosmetics and Toiletries”, Country: Taiwan, STAT-USA, August 16, 2004, http://strategis.ic.gc.ca/epic/internet/inimr-ri.nsf/en/gr126833e.html
Chou, Angeli, “The Taiwan Cosmetics and Toiletries Market”, Country: Taiwan, STAT-USA, http://strategis.ic.gc.ca/epic/internet/inimr-ri.nsf/en/gr118628e.html
Qiu Li-Ling, “Winning Taiwan from World’s View (贏得台灣就是放眼世界), Industrial and Commerical Times, Nov. 24, 2006
Zhuo Yi-Jun, Skin Care Product Going Upscale (保養品精品化 頂級逆勢成長), Liberty Times, Nov. 16, 2006
Hedrick-Wong, Yuwa. “Female Spending in Taiwan.” Presentation delivered to the Taiwan banking industry. Sept. 8, 2006.
Euromonitor International. “Cosmetics And Toiletries in Japan.” Market Research Report published by Euromonitor International; Distributed by Global Information, Inc. September 2005.
SK-II Official Website, http://www.skiimf.com.tw/, 2007
SaSa Website, http://www.sasa.com/, 2007
Big Century(大紀元), “SK-II Grabs Anti-aging Market Share”August 19, 2006
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Appendix – I : Survey Sample
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Appendix – I I: Product Pricing
Price range for the SK-II products (Sa Sa, 2007)
Appendix - III: Statistics Summary
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Appendix IV – Statistic s Results
EXPENDITURE
Two-Sample T-Test and CI: AnnExp-U, AnnExp-N
Two-sample T for AnnExp-U vs AnnExp-N
N Mean StDev SE MeanAnnExp-U 20 8625 4539 1015AnnExp-N 76 5010 3611 414
Difference = mu (AnnExp-U) - mu (AnnExp-N)Estimate for difference: 3614.8695% CI for difference: (1710.31, 5519.40)T-Test of difference = 0 (vs not =): T-Value = 3.77 P-Value = 0.000 DF = 94Both use Pooled StDev = 3816.8230
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PRODUCT CHARACTERISTICS Mann-Whitney Test and CI: Price-U, Price-N
N MedianPrice-U 5 2.000Price-N 60 2.000
Point estimate for ETA1-ETA2 is -0.00095.2 Percent CI for ETA1-ETA2 is (-0.000,1.000)W = 191.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.5221The test is significant at 0.4481 (adjusted for ties)
Mann-Whitney Test and CI: Formula-U, Formula-N
N MedianFormula-U 6 1.5000Formula-N 56 2.0000
Point estimate for ETA1-ETA2 is -0.000095.1 Percent CI for ETA1-ETA2 is (-1.0000,-0.0003)W = 166.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.6004The test is significant at 0.5719 (adjusted for ties)
Mann-Whitney Test and CI: Quality-U, Quality-N
N MedianQuality-U 5 1.0000Quality-N 61 2.0000
Point estimate for ETA1-ETA2 is 0.000095.0 Percent CI for ETA1-ETA2 is (-1.0000,0.0002)W = 151.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.7072The test is significant at 0.6691 (adjusted for ties)
Mann-Whitney Test and CI: Whitening-U, Whitening-N
N MedianWhitening-U 4 1.0000Whitening-N 61 2.0000
Point estimate for ETA1-ETA2 is -1.000095.2 Percent CI for ETA1-ETA2 is (-0.9999,-0.0004)W = 77.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.1405The test is significant at 0.1186 (adjusted for ties)
Mann-Whitney Test and CI: AntiAge-U, AntiAge-N
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N MedianAntiAge-U 6 1.0000AntiAge-N 60 2.0000
Point estimate for ETA1-ETA2 is -1.000095.2 Percent CI for ETA1-ETA2 is (-1.0002,-0.0002)W = 121.0Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.0762The test is significant at 0.0582 (adjusted for ties)
Mann-Whitney Test and CI: Moist-U, Moist-N
N MedianMoist-U 7 1.0000Moist-N 62 1.0000
Point estimate for ETA1-ETA2 is -0.000095.2 Percent CI for ETA1-ETA2 is (-1.0000,-0.0002)W = 199.0Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.3658The test is significant at 0.3033 (adjusted for ties)
Mann-Whitney Test and CI: Rep-U, Rep-N
N MedianRep-U 3 3.000Rep-N 54 2.000
Point estimate for ETA1-ETA2 is 1.00095.3 Percent CI for ETA1-ETA2 is (-0.000,1.000)W = 118.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.2679The test is significant at 0.2301 (adjusted for ties)
Mann-Whitney Test and CI: Pack-U, Pack-N
N MedianPack-U 2 2.500Pack-N 52 3.000
Point estimate for ETA1-ETA2 is -0.00095.4 Percent CI for ETA1-ETA2 is (-2.001,1.000)W = 43.0Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.5984The test is significant at 0.5720 (adjusted for ties)
Mann-Whitney Test and CI: Design-U, Design-N
N MedianDesign-U 2 2.500Design-N 52 3.000
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Point estimate for ETA1-ETA2 is -1.00095.4 Percent CI for ETA1-ETA2 is (-2.000,1.000)W = 33.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.3361The test is significant at 0.3103 (adjusted for ties)
Mann-Whitney Test and CI: Spoke1-U, Spoke1-N
N MedianSpoke1-U 2 4.500Spoke1-N 50 4.000
Point estimate for ETA1-ETA2 is -0.00095.2 Percent CI for ETA1-ETA2 is (-1.000,2.000)W = 70.0Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.4324The test is significant at 0.3976 (adjusted for ties)
Mann-Whitney Test and CI: Spoke2-U, Spoke2-N
N MedianSpoke2-U 2 4.500Spoke2-N 51 4.000
Point estimate for ETA1-ETA2 is 1.00095.3 Percent CI for ETA1-ETA2 is (-1.000,2.000)W = 74.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.3506The test is significant at 0.3220 (adjusted for ties)
Mann-Whitney Test and CI: Post-U, Post-N
N MedianPost-U 3 1.000Post-N 52 2.000
Point estimate for ETA1-ETA2 is -1.00095.3 Percent CI for ETA1-ETA2 is (-2.001,1.000)W = 61.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.4149The test is significant at 0.3960 (adjusted for ties)
Mann-Whitney Test and CI: Promo-U, Promo-N
N MedianPromo-U 3 2.000Promo-N 52 2.000
Point estimate for ETA1-ETA2 is -0.00095.3 Percent CI for ETA1-ETA2 is (-1.000,0.000)W = 63.0Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.4474The test is significant at 0.3886 (adjusted for ties)
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Mann-Whitney Test and CI: Ads-U, Ads-N
N MedianAds-U 2 2.500Ads-N 52 2.000
Point estimate for ETA1-ETA2 is -0.00095.4 Percent CI for ETA1-ETA2 is (-1.000,1.000)W = 55.0Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 1.0000The test is significant at 1.0000 (adjusted for ties)
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REASONS FOR PURCHASE Chi-Square Test: Advertisement (RFP), Advertisement (Not RFP)
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Advertisement Advertisement (RFP) (Not RFP) Total 1 6 14 20 4.15 15.85 0.824 0.216
2 16 70 86 17.85 68.15 0.192 0.050
Total 22 84 106
Chi-Sq = 1.281, DF = 1, P-Value = 0.2581 cells with expected counts less than 5.
Chi-Square Test: Impulse (RFP), Impulse (Not RFP)
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Impulse Impulse (Not (RFP) RFP) Total 1 5 15 20 2.26 17.74 3.306 0.422
2 7 79 86 9.74 76.26 0.769 0.098
Total 12 94 106
Chi-Sq = 4.595, DF = 1, P-Value = 0.0321 cells with expected counts less than 5.
Chi-Square Test: Referred by friends and family, Referred by friends and famil_
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Referred Referred by by friends friends and and family famil_1 Total 1 18 2 20 15.47 4.53 0.413 1.412
2 64 22 86 66.53 19.47
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0.096 0.328
Total 82 24 106
Chi-Sq = 2.249, DF = 1, P-Value = 0.1341 cells with expected counts less than 5.
Chi-Square Test: Just out of stock (RFP), Just out of stock (Not RFP)
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Just Just out out of of stock stock (Not (RFP) RFP) Total 1 12 8 20 12.45 7.55 0.016 0.027
2 54 32 86 53.55 32.45 0.004 0.006
Total 66 40 106
Chi-Sq = 0.054, DF = 1, P-Value = 0.817
Chi-Square Test: On Sale at a Dep, On Sale at a Dep
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
On Sale at On Sale at a a Department Department Store ( Store_1 Total 1 12 8 20 9.62 10.38 0.587 0.545
2 39 47 86 41.38 44.62 0.137 0.127
Total 51 55 106
Chi-Sq = 1.395, DF = 1, P-Value = 0.238
Chi-Square Test: Just happen to s, Just happen to s
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Just Just happen happen to see to see
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it in it in the sh the _1 Total 1 2 18 20 1.32 18.68 0.349 0.025
2 5 81 86 5.68 80.32 0.081 0.006
Total 7 99 106
Chi-Sq = 0.461, DF = 1, P-Value = 0.4971 cells with expected counts less than 5.
Chi-Square Test: Fashionable (RFP), Fashionable (Not RFP)
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Fashionable Fashionable (RFP) (Not RFP) Total 1 2 18 20 2.08 17.92 0.003 0.000
2 9 77 86 8.92 77.08 0.001 0.000
Total 11 95 106
Chi-Sq = 0.004, DF = 1, P-Value = 0.9511 cells with expected counts less than 5.
Chi-Square Test: Really like it w, Really like it w
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Really Really like it like it when when browsing browsing ar _1 Total 1 4 16 20 2.08 17.92 1.785 0.207
2 7 79 86 8.92 77.08 0.415 0.048
Total 11 95 106
Chi-Sq = 2.454, DF = 1, P-Value = 0.1171 cells with expected counts less than 5.
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Chi-Square Test: Recommended by the sales (RFP), Recommended by the sales (Not
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Recommended Recommended by the by the sales (Not sales (RFP) R Total 1 0 20 20 2.83 17.17 2.830 0.467
2 15 71 86 12.17 73.83 0.658 0.108
Total 15 91 106
Chi-Sq = 4.063, DF = 1, P-Value = 0.0441 cells with expected counts less than 5.
Chi-Square Test: Promotion (RFP), Promotion (Not RFP)
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Promotion Promotion (RFP) (Not RFP) Total 1 12 8 20 7.74 12.26 2.350 1.483
2 29 57 86 33.26 52.74 0.547 0.345
Total 41 65 106
Chi-Sq = 4.725, DF = 1, P-Value = 0.030
Chi-Square Test: Branding (RFP), Branding (Not RFP)
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Branding Branding (Not (RFP) RFP) Total 1 11 9 20 8.68 11.32 0.621 0.476
2 35 51 86 37.32 48.68 0.144 0.111
Total 46 60 106
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Chi-Sq = 1.351, DF = 1, P-Value = 0.245
Chi-Square Test: Made in Japan (RFP), Made in Japan (Not RFP)
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Made Made in in Japan Japan (Not (RFP) RFP) Total 1 5 15 20 1.89 18.11 5.137 0.535
2 5 81 86 8.11 77.89 1.195 0.124
Total 10 96 106
Chi-Sq = 6.991, DF = 1, P-Value = 0.0081 cells with expected counts less than 5.
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CHANNEL Chi-Square Test: Department Store CH, Department Store NOT CH
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Department Department Store NOT Store CH CH Total 1 18 2 20 4.91 15.09 34.952 11.359
2 8 78 86 21.09 64.91 8.128 2.642
Total 26 80 106
Chi-Sq = 57.081, DF = 1, P-Value = 0.0001 cells with expected counts less than 5.
Chi-Square Test: Drug Store CH, Drug Store NOT CH
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Drug Drug Store Store NOT CH CH Total 1 2 18 20 3.77 16.23 0.834 0.194
2 18 68 86 16.23 69.77 0.194 0.045
Total 20 86 106
Chi-Sq = 1.266, DF = 1, P-Value = 0.2601 cells with expected counts less than 5.
Chi-Square Test: Grey Market CH, Grey Market NOT CH
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Grey Grey Market Market CH NOT CH Total 1 0 20 20 2.08 17.92 2.075 0.240
2 11 75 86
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8.92 77.08 0.483 0.056
Total 11 95 106
Chi-Sq = 2.854, DF = 1, P-Value = 0.0911 cells with expected counts less than 5.
Chi-Square Test: Direct Sales CH, Direct Sales NOT CH
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Direct Direct Sales Sales CH NOT CH Total 1 1 19 20 7.55 12.45 5.680 3.442
2 39 47 86 32.45 53.55 1.321 0.801
Total 40 66 106
Chi-Sq = 11.243, DF = 1, P-Value = 0.001
Chi-Square Test: Open Market CH, Open Market NOT CH
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Open Open Market Market CH NOT CH Total 1 1 19 20 1.89 18.11 0.417 0.043
2 9 77 86 8.11 77.89 0.097 0.010
Total 10 96 106
Chi-Sq = 0.567, DF = 1, P-Value = 0.4511 cells with expected counts less than 5.
Chi-Square Test: Hypermarket CH, Hypermarket NOT CH
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Hypermarket Hypermarket CH NOT CH Total 1 0 20 20 8.11 11.89 8.113 5.538
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2 43 43 86 34.89 51.11 1.887 1.288
Total 43 63 106
Chi-Sq = 16.825, DF = 1, P-Value = 0.000
Chi-Square Test: Open Rack CH, Open Rack NOT CH
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Open Open Rack Rack NOT CH CH Total 1 1 19 20 5.47 14.53 3.654 1.376
2 28 58 86 23.53 62.47 0.850 0.320
Total 29 77 106
Chi-Sq = 6.201, DF = 1, P-Value = 0.013
Chi-Square Test: Convenience Drug Store CH, Convenience Drug Store NOT CH
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Convenience Convenience Drug Store Drug Store CH NOT CH Total 1 11 9 20 10.57 9.43 0.018 0.020
2 45 41 86 45.43 40.57 0.004 0.005
Total 56 50 106
Chi-Sq = 0.047, DF = 1, P-Value = 0.829
Chi-Square Test: Internet CH, Internet NOT CH
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Internet Internet CH NOT CH Total 1 4 16 20 5.66 14.34
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0.487 0.192
2 26 60 86 24.34 61.66 0.113 0.045
Total 30 76 106
Chi-Sq = 0.837, DF = 1, P-Value = 0.36
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DEMOGRAPHICS
Results for: SKII-Demographics.MTW Chi-Square Test: Married, Single
Expected counts are printed below observed countsChi-Square contributions are printed below expected counts
Married Single Total 1 2 18 20 7.40 12.60 3.941 2.314
2 35 45 80 29.60 50.40 0.985 0.579
Total 37 63 100
Chi-Sq = 7.819, DF = 1, P-Value = 0.005
Mann-Whitney Test and CI: Age-U, Age-N
N MedianAge-U 20 3.000Age-N 82 3.000
Point estimate for ETA1-ETA2 is 0.00095.1 Percent CI for ETA1-ETA2 is (-1.000,-0.000)W = 963.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.5780The test is significant at 0.5658 (adjusted for ties)
Mann-Whitney Test and CI: Education-U, Education-N
N MedianEducation-U 20 2.0000Education-N 80 2.0000
Point estimate for ETA1-ETA2 is -0.000095.0 Percent CI for ETA1-ETA2 is (-0.0000,-0.0000)W = 938.0Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.5378The test is significant at 0.3836 (adjusted for ties)
Mann-Whitney Test and CI: Frequency-U, Frequency-N
N MedianFrequency-U 20 3.000Frequency-N 79 3.000
Point estimate for ETA1-ETA2 is -1.000
95.1 Percent CI for ETA1-ETA2 is (-1.000,-0.000)W = 766.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.0423The test is significant at 0.0351 (adjusted for ties)
Mann-Whitney Test and CI: Price-U, Price-N
N MedianPrice-U 20 3.0000Price-N 78 2.0000
Point estimate for ETA1-ETA2 is -0.000095.0 Percent CI for ETA1-ETA2 is (-0.0001,1.0002)W = 1212.5Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.0504The test is significant at 0.0348 (adjusted for ties)
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