Beauty Retail: The Buying Preferences of In-Store vs...
Transcript of Beauty Retail: The Buying Preferences of In-Store vs...
Beauty Retail:
The Buying Preferences of
In-Store vs. Online Consumers
September 2014 Insight Report
About this Insight Report
• CivicScience developed this report using our InsightStore™ solution – an online research
platform that mines real-time consumer opinions and custom research responses from over
27 million+ anonymous respondent profiles (and growing daily).
• This report highlights what people care most about when shopping for beauty products in
stores and online. CivicScience’s capabilities allow us to go deeper than just basic
demographics, providing a rich profile of these buyer segments.
• The data for this report was collected August 5 - September 11, 2014.
• An overview of the methodology is available at the end of this report.
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Topline Results: In-Store Buyers
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• A total of 5,151 responses were collected and weighted according to the U.S. Census for gender and age, 13 and older.
• When buying beauty products in a store, people value being able to see or touch the product the most, followed by the act of browsing and taking home the purchase that day.
37%
3%
7%
13%
14%
25%
I don't buy these products in stores
Ease of returns
Help from sales associate/service
Taking home purchase that day
Act of browsing
Seeing/touching the product
When buying beauty products in a store, what matters most (make-up, fragrances, hair and skin care, etc.)?
> All respondents> Weighted according to U.S. Census figures for gender and age, 13 and older
Margin+/- 2 5,151 responses from 8/05/2014 to 9/10/2014Note, the reported percentages do not sum to 100 due to rounding.
Generated by CivicScience®
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Topline Results: Online Buyers
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• A total of 6,068 responses were collected and weighted according to the U.S. Census for gender and age, 13 and older.
• When buying beauty products online, people value the convenience, followed by access to consumer reviews.
• The majority – 68% – of consumers do not buy beauty products online.
68%
1%
3%
3%
3%
4%
5%
6%
7%
I don't buy these products online
Ease of returns
No crowds
No pressure sales
Favorable shipping terms
Ease of price comparisons
Variety/selection
Access to consumer reviews
Convenience
When buying beauty products online, what matters most (make-up, fragrances, hair and skin care, etc.)?
> All respondents> Weighted according to U.S. Census figures for gender and age, 13 and older
Margin+/- 2 6,068 responses from 8/05/2014 to 9/11/2014
Generated by CivicScience®
In-Store Consumers Online Consumers
High-Level Comparison of In-Store and Online Beauty Product Buyers
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• 69% women vs. 31% men.
• 61% are 35+ years old.
• 56% are parents or grandparents.
• 28% have a household income of under $35K, 57%
earn $35K-$125K and 15% earn $125K+.
• 18% say they are more spendthrift (difficulty controlling
spending) vs. tightwad.
• 30% say about half their shopping is done online.
• 22% seek out online reviews before purchases.
• 19% try to adjust their lifestyle every chance they get
to help the environment.
• 36% watch local TV news daily.
• 28% say they are taller than others their gender and
age.
• 65% women vs. 35% men.
• 56% are 35+ years old.
• 52% are parents or grandparents.
• 26% have a household income of under $35K, 55%
earn $35K-$125K and 19% earn $125K+.
• 12% say they are more spendthrift (difficulty controlling
spending) vs. tightwad.
• 49% say about half their shopping is done online.
• 33% seek out online reviews before purchases.
• 39% try to adjust their lifestyle every chance they get
to help the environment.
• 27% watch local TV news daily.
• 34% say they are taller than others their gender and
age.
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Demographics of In-Store Beauty Product Buyers
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What matters most when buying beauty products in a store?
Insight
“Seeing/touching the
product”“Act of browsing”
“Taking home
purchase that day”
Gender 73% women vs. 27% men 70% women vs. 30% men 64% women vs. 36% men
Age: 34 and under 41%* 41% 35%
Age: 35+ years old 60%* 59% 65%
Residential Location 43% suburban, 35% urban 42% suburban, 35% urban 46% suburban, 28% urban
Education Level: graduate/PhD 17% 17% 16%
Income: under $35K 28% 28% 27%
Income: $35K-$125K 56% 58% 58%
Income: over $125K 16% 14% 15%
Parental Status: parent or
grandparent52% 53% 62%
*Note: The reported percentages do not sum to 100 due to rounding.
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Attributes of In-Store Beauty Product Buyers
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What matters most when buying beauty products in a store?
Insight
“Seeing/touching the
product”“Act of browsing”
“Taking home
purchase that day”Has had or would like to have
elective surgery for cosmetic or
weight-loss purposes
42% 28% 27%
Very loyal to favorite brands 39% 32% 35%
Regularly watches TV programs
online23% 34% 17%
More of a morning person than a
night owl33% 34% 44%
Price is more important than brand
when shopping34% 43% 37%
Influenced by fashion trends 54% 41% 41%
Tries new products before others 32% 21% 34%
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Summary of Different In-Store Beauty Product Buyers
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• Those who value seeing/touching the product the most (the most popular answer option at 25%) are more likely to be women than the other two groups and are over 35 years old. They live in the suburbs or an urban area and have a middle household income. 52% are parents or grandparents, which is slightly less than the other two groups. They are at least 50% more likely to have had or would like to have elective surgery for cosmetic or weight-loss purposes. People who value seeing/touching the product the most are 32% more likely to be influenced by fashion trends than those who value the act of browsing or taking home their purchase right away.
• People who value the act of browsing are likely to be women and well over half of the group is 35 years old and older. They are also likely to live in the suburbs or an urban area and have a middle household income, and 53% are parents or grandparents. People who value the act of browsing are at least 48% more likely than the other groups to regularly watch TV shows online and are more likely to say price is more important than brand when shopping.
• People who value taking home their purchase right away are likely to be women, and when compared to the other groups, they are the most likely to be over 35 years old and have children or grandchildren. The majority (58%) have a household income of $35K-$125K. They are more likely than the other groups to be morning people (a proxy we typically see among older demographic groups) and try new products before others (a proxy we typically don’t see among older demographic groups!).
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Demographics of Online Beauty Product Buyers
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What matters most when buying beauty products online?
Insight “Convenience” “Access to consumer reviews”Gender 62% women vs. 38% men 72% women vs. 28% men
Age: 34 and under 36% 63%
Age: 35+ years old 64% 37%
Residential Location 42% suburban, 32% urban 52% suburban, 32% urban
Education Level: graduate/PhD 19% 19%
Income: under $35K 23% 27%
Income: $35K-$125K 57% 52%
Income: over $125K 20% 21%
Parental Status: parent or grandparent 59% 38%
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Attributes of Online Beauty Product Buyers
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What matters most when buying beauty products online?
Insight “Convenience” “Access to consumer reviews”More of a night owl than a morning person 42% 71%
Owns a smartphone 70% 68%
Owns an e-Reader 38% 32%
Owns a tablet 54% 47%
Shops and makes purchase online every month 46% 66%
Has trouble falling asleep every night or most
nights32% 20%
Uses coupons on non-grocery items every chance
they get or if it is convenient23% 60%
Very loyal to favorite brands 34% 22%
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Profile of Non-Online Beauty Product Buyers
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Insight
What matters most when buying beauty products online?
“I don’t buy these products online”
Gender 56% men vs. 44% women
Age: 35+ years old 67%
Residential Location 45% suburban, 27% urban
Education Level: Graduate/PhD 16%
Income: under $35K 28%
Income: $35K - $125K 57%
Parental Status: parent or grandparent 60%
Owns a tablet computer 37%
Owns a smartphone 53%
Price is more important than brand when shopping 38%
Very loyal to favorite brands 32%
Almost never makes purchases online 39%
Does not usually try new products before others 79%
68% of people do not buy beauty products online. Due to the large percent, we profiled this segment of individuals:
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Summary of Online Beauty Product Buyers
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• People who value convenience are likely to be women. When compared to those who value consumer reviews, people who value convenience are 73% more likely to be 35+ years old, are more likely to be parents or grandparents and overall have a higher income. They are slightly more likely to own personal technology devices (smartphone, tablet, e-Reader) and are 55% more likely to be very loyal to their favorite brands.
• Those who value access to consumer reviews are 16% more likely to be women, 75% more likely to be 34 and under and 24% more likely to live in the suburbs than those who value convenience. Well over the majority would consider themselves night owls rather than morning people and use coupons when shopping for non-grocery items. They are 43% more likely than the other group to make purchases online every month.
• Those who don’t buy beauty products online are more likely than the other segments to be men 35 and over. 57% have a household income of $35K-$125K. They are more brand loyal than those who value consumer reviews, and they have a lower personal device ownership (smartphone and tablet). 79% say they are not likely to try new products before others.
About the CivicScience Methodology:
CivicScience collects real-time consumer research data via polling applications that run
on hundreds of U.S. publisher websites, cycling through thousands of active questions on
any given day. Respondents answer just for fun and are kept anonymous, allowing for
greatly reduced bias and higher levels of engagement. Using technology, CivicScience
builds deep psychographic profiles of these anonymous respondents over time, providing
valuable consumer sentiment data to the decision makers who care. Automated data
science technology allows clients to rapidly gain robust consumer insight and trending
reports. The CivicScience methodology has been validated by a team of academic
leaders and by independent consulting firms. Responses may be weighted for U.S.
census representativeness for gender and age. CivicScience currently has more than 27
million anonymous consumer profiles and 600 million responses stored, growing daily.
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