Buxton's Pocket Guide to the Apparel Industry
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Transcript of Buxton's Pocket Guide to the Apparel Industry
The Pocket Guide to
THE APPAREL INDUSTRY
Times have changed. The power that was once held by manufacturers first shifted to retailers, and
now lies within the hands of the consumer, who is only one click away from any purchase, anywhere
in the world. This simple shift in power has caused significant problems for today’s apparel retailers,
because when considering brick and mortar locations, they have to face the industry’s highest levels
of complexity, capital investment and risk.
Consider these factors:
Complexity: The U.S. is the most over retailed country in the world in terms of
available square feet per person. Currently, total U.S. GLA is 14 billion square feet,
which translates to about 46 square feet of retail space per person – almost four
times the square feet of retail space per person in Canada. This makes retail today
incredibly complicated as there’s a lot of space available, but with all those choices,
there’s even more opportunities to fail.
Expense: Building a new store already requires a significant amount of capital
investment, but as pre-recession leases come up for renewal, rent for A and A+
properties will increase by as much as 80% while B locations will be converted for
alternative uses such as restaurants or entertainment and C and D properties will be
abandoned.
Risk: As rent climbs, many locations in retailers’ portfolios will begin to perform
poorly because sales don’t automatically go up when rent goes up and landlords
have no hesitations about replacing retailers occupying prime real estate with others
that are averaging higher sales.
Now, the big question becomes: How do I offset these lost sales and extra expenses while
navigating an increasingly complex retail landscape? The answer lies in customer analytics.
In this pocket guide, we will explore some of the key challenges and opportunities facing the apparel
industry, and outline how customer analytics is providing answers to crucial questions.
We hope you enjoy Buxton’s Pocket Guide to the Apparel Industry and that it’s a useful tool for
jumpstarting strategic conversations at your organization.
Best wishes,
The Buxton team
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The Pocket Guide to the Apparel Industry: An Introduction
The apparel industry, while not unfamiliar with
change, has reached its proverbial tipping
point. The convergence of an economy still in
transition, rapidly developing new technologies
and increasingly high consumer expectations
has created the perfect storm that is dramatically
transforming the apparel landscape and
reshaping the shopping environment, leaving
some brands struggling to keep up as they try to
navigate the murky waters.
However, the apparel retailers that manage their
way through can look to the future with a sense
of cautious optimism as the apparel market
begins its long-awaited return to growth.
While the category’s growth is modest, with
an annual forecasted growth rate of 3% between 2014 and 2018, the
segments driving this growth are experiencing
gains that are outpacing the overall market.
Undoubtedly, the industry’s expansion is partially
due to the rise of e-commerce. The adoption
and integration of continually advancing
technology is not only causing a shift in the
behavior and attitudes of consumers, but it’s
also profoundly influencing and molding the
shopping environment as the lines between
digital and physical blur together.
Despite the fact that this new multi-channel
reality has given way to a rise in online shopping
and put the role of the physical store under
question, brick and mortar storefronts will
continue to be a staple of apparel retailers.
Consumers still need the experience associated
with in-store shopping. After all, the single
biggest reason that people DO NOT buy
apparel online is that they want to touch and
feel the merchandise.
In fact, if brands properly reinvent their physical
stores, transforming them into competitive
weapons by adjusting formats to fit a multi-
channel strategy, stores can be substantial
growth vehicles. However, in order to modify
the in-store environment and build an omni-
channel strategy successfully, it’s absolutely
critical to know who your customers are as well
as understand their lifestyles and purchasing
preferences both online AND offline. Only then
will brands be able to effectively meet their
customers’ needs and expectations.
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Seismic Shift for Apparel Retailers
The Next BIG THING!
Menswear
Plus-size Apparel
Luxury Apparel
Activewear
Up 5% in 2013 to reach $60.8 billion
Up 7.2% in 2013 to reach $16.2 billion
Up 5% in 2013 to reach $286 billion
Up 9% in 2013 to reach $36 billion
Winning Your Millennial Shopper
The stakes involved in reaching your Millennial customer are high. There are roughly 80 million
Millennials in the U.S. alone, and every year they spend $600 billion. While Millennials are already a
powerful force, they will truly come into their own by 2020, when their annual spending will grow to
$1.4 trillion and represent 30% of total retail sales.
Millennial females buy
a third more apparel per
year than non-millennial
females, regardless
of income or race.
Percent who shop for clothing more than 2x a month:
of millennials reported using a mobile device to read user reviews and research products while shopping, compared to 21% of non-millennials.
Millenial females shop almostTWICE AS OFTEN
with their spouses – and twice as often with groups of
friends or relatives – than non-millennial females.
Percent who shop for clothing at least 2x a month:
Millennial males spend twice as much on apparel per year as males of previous generations.
MILLENNIALS MILLENNIALSNON-MILLENNIALS NON-MILLENNIALS
MALEFEMALE
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47% 38%36% 10%
Among American millennials, BOTH SEXES say they like clothing, like buying it, and have formed preferences when it comes to brands.
Millennials tend to shop in groups and seek others’ opinions, more than non-millenials.
50%+1
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Today’s apparel landscape is essentially
unrecognizable from the one just five years ago.
The dynamic industry landscape represents a
reshaping of retail where the future has come
down to one word: experience. In this new
reality, traditional business models, store formats
and customer segmentations are no longer
sufficient to survive.
New products, new formats and new
technologies have always been elements that
progressive retailers have had to embrace
and successfully integrate into their core
strategies – not just to stay current, but also
to let customers rediscover their brands and
enjoy an even greater shopping experience.
However, the process of remodeling stores
and redefining business models to be better in
line with customers’ desires and needs can be
an uncomfortable one as consumer behavior,
spending habits, attitudes, and demographic
profiles change so rapidly – leading to vastly
different expectations of merchandise, service,
value and entertainment.
The key to a smooth transition for apparel
retailers is to understand how your customers’
behaviors are evolving on a national, regional and
local level, what the impact will be on both in-
store and digital expectations, and how changing
consumer requirements can best be addressed.
Because only then can retailers successfully
redefine and adapt their store proposition to
enhance the overall customer experience, reach
more customers and increase personalization,
in turn making their stores more exciting,
entertaining, emotionally engaging and relevant.
While the solution may not be the same for every retailer, it will have one thing in common: KNOWING WHO YOUR BEST CUSTOMERS ARE.
So as the apparel industry finds itself in the wild
west of development and change, savvy retailers
are turning to customer data and analytics as it
provides a competitive edge and serves as the
foundation for greater efficiency, expansion and
business development by answering questions
such as:
However, most retailers have barely scratched
the surface of customer insights. Deciphering,
dissecting and analyzing the most relevant
components – the information responsible for
streamlining operations, enhancing productivity,
refining merchandising strategies and customizing
marketing initiatives – is a substantial undertaking.
This frustration only becomes more intense as
retailers realize that there are an endless number
of answers that could be revealed by examining
the right data in granular-level detail which would
allow them to really thrive.
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Decoding the Message
Which store do I remodel first?
Which leases do I negotiate or let go?
How do I reprioritize resources to improve underperforming locations?
And the reason for this is simple: Successful solutions come from asking the right questions.
Like a domino effect, as you gain more insights by uncovering the hidden stories that aren’t always
clear in revenue reports and other performance metrics, you are able to ask questions about your
performance that were previously unapparent to ask. For example, customer intelligence can reveal
patterns of behavior among specific groups of customers in particular market regions, which can then
impact corporate messaging, promotions, pricing and merchandising strategies. Or, it can explain
that the drop in sales at the end of the month was because of a shrinking market and a decline in
discretionary funds among consumers.
Yet, with more shopper data accumulating every day and the extensive ramp-up time involved in
building an in-house analytics team, most retailers will be better served by turning to a partner for help
in managing and deriving these insights from customer data.
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So What Does This Mean to You?The challenge for apparel retailers in the new digital shopping world is how well they can adapt, how wisely they can make spending decisions on new technology and how best they can use technology to continuously connect with their greatest asset – the customer. Predictive models are helping retailers transform their businesses now so they can enter the next growth cycle poised to succeed by identifying who their best customers are, where more of them can be found, and the value potential that those customers have – either in terms of dollars or visits.
The insights extracted from customer data provide meaningful answers that retailers need to guide the execution of their real estate and marketing strategies. And by truly knowing their customers, retailers can achieve greater success by serving them more effectively, efficiently and profitably.
Customer analytics is not only about gaining a deeper understanding about your customers – it’s also about applying your customer knowledge to every facet of your organization including real estate, marketing and operations. Effective customer analytics allows you to gain insights in each of the
following areas:
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Customers Real Estate Marketing Operations
Create in-depth core customer profiles – understand who they are, what they want and what drives their buying decisions at the product level
Know where more of your best customers can be found
Understand value and penetration by customer segment
Understand the differences between your online, offline, and omni-channel customers
Determine your core customers’ media preferences
Forecast sales performance – down to sales per square foot
Pinpoint under-performing locations and identify which sites should be relocated and which sites remodeled based on untapped demand
Analyze the potential for a new or streamlined format, and identify markets that represent the best fit for it
Prioritize new markets for expansion and determine your brand’s potential by city, region, or the U.S. and Canadian market as a whole
Optimize and infill your existing markets
Develop hyper-local marketing initiatives and merchandising strategies
Create marketing campaigns that hit the right customers with the right messages, in terms of price points and regional preferences
Target qualified prospective customers at the household level within each stores’ drive-time trade area with tailored marketing messages
Optimize your media mix based on the media preferences of your customers, including different media channels, dayparts and content
Target your online shopping services at the household-level to maximize your online shopping channel
Understand exactly how you should manage categories and vary your product mix from one store to the next
Optimize assortments corresponding to the specific sizes, colors, styles or brands that local customers demand
Match promotions with assortments by locations to drive strong category sales
View your sales more easily by day, by hour, by location – and set a strategy for improvement
Identify the relationship between online and offline sales
This is where Buxton comes in. Using customer
data, our analytics and solutions simplify the
decision-making process, maximize ROI on new
store openings and reduce the risk of failure and
poor performance.
Through portfolio optimization, retail modeling
and forecasting, we can identify which of your
brick and mortar locations have little upside
potential given the current format of your
business and where there may likely be sales
transference from weaker stores to stronger
nearby locations.
In extreme cases, we can provide white space
analysis, where we present a completely new
blueprint for the retailer. Based off of a retail
model, we create a clean map and redeploy the
entire portfolio of locations to determine where
the best locations would be located and what the
optimal number of locations would be throughout
the U.S.
Furthermore, with good customer data, we are
able to understand the interplay and migration
of customers between channels – meaning that
if you closed two out of three stores, we can
forecast which customers would migrate to the
remaining location and which customers are
likely or unlikely to change channels and begin
shopping online for your products.
Not only are customer analytic solutions
necessary to survive the overall shift in the retail
environment, but hard market data associated
with understanding market share is also crucial
in obtaining the insight required to gain a
competitive advantage. By knowing your true
market share, you can see where your best
opportunities lie, know how you are doing
compared to your competition and quantify the
impact your strategies and tactical execution
have had on business results. While this hard
market data has traditionally been difficult, if not
impossible, to obtain, through a relationship with
Visa, Buxton is able to access both you and your
aggregated peers’ customers’ de-identified credit
and debit card transactions. This enables us to
accurately and objectively quantify your market
share at all levels of your organization – from the
very top down to individual locations.
By understanding your true market share, with
Buxton’s Market Share Solution, you have an
unbiased metric that filters out market noise,
allowing you to more deeply answer questions
such as:
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The Customer Insights You Need to Grow.
Boiled down, by harnessing the power of effective customer analytic strategies and
market share knowledge, you’ll have the customer insights needed to guide future
growth in this new reality.
Is the market growing or shrinking?
Did my strategies and execution have a positive impact? Negative impact? No impact?
How effective were my advertising and promotions strategies?
Did I capture customer dollars from my competitors’ locations?
Why did my revenue grow? Decline?
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Answers at the Push of a Button Today’s analytic solutions are delivered through platforms such as SCOUT, Buxton’s proprietary web-
based data visualization tool. By connecting decision-makers in real estate, operations, marketing
and merchandising to custom analytic models 24 hours a day – whether on a tablet, smartphone or
computer – SCOUT allows you to perform a variety of useful analytic and mapping functions that
clearly and simply illustrate who your customers are, where they are located, and the value of those
customers to your organization. Ultimately, SCOUT is a platform that centralizes all your planning
and strategic development resources, providing you with access to the information that will improve
organization-wide decision making, maximize your returns and make everything you do easier, more
efficient and more effective – all with one touch of a button.
To learn more about the world of customer analytics and the technology behind today’s leading retailers, contact us.