WHAT CHINESE SHOPPERS REALLY DO BUT WILL NEVER … BRIEF China...What Chinese Shoppers Really Do But...

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WHAT CHINESE SHOPPERS REALLY DO BUT WILL NEVER TELL YOU China Shopper Report 2012, Vol. 4

Transcript of WHAT CHINESE SHOPPERS REALLY DO BUT WILL NEVER … BRIEF China...What Chinese Shoppers Really Do But...

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WHAT CHINESE SHOPPERS REALLY DOBUT WILL NEVER TELL YOU

China Shopper Report 2012, Vol. 4

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Copyright © 2012 Bain & Company, Inc. and Kantar Worldpanel

All rights reserved.

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Contents

1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . pg. 3

2. Full report . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . pg. 4

Inside China’s diversifi ed and evolving retail market . . . . . . . . . . . . . . . . . pg. 4

How retail channel dynamics infl uence shopper behavior . . . . . . . . . . . . . . pg. 6

What makes hypermarkets succeed? . . . . . . . . . . . . . . . . . . . . . . . . . . . . pg. 9

3. Implications for retailers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . pg. 14

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As China’s market for fast-moving consumer goods grows,modern retailers are looking for ways to grow too—and outpace competitors. Our study of real-time shopper behavior provides important insights into how China’s retail landscape is quickly evolving, and what separates leading retailers from followers. These insights allow both domestic and foreign retailers tohone their strategies.

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In our groundbreaking report “What Chinese

Shoppers Really Do But Will Never Tell You”,

published in June, we helped fi ll that void by sharing

real-time shopper data, including the insights gained

from a rare look at what shoppers actually do at the

point of sale as opposed to what they say they do. This

joint study by Bain & Company and Kantar

Worldpanel examined the shopping behavior of

40,000 Chinese households from 373 cities in 20

provinces and four major municipalities, creating a

comprehensive look at how much shoppers spend by

region and by city in 26 important product categories,

ranging from milk to shampoo. We followed up with

a second report that explored shopper behavior in

more depth across three dimensions: city tier,

category nature and development stage, and shoppers’

life stages (see Figure 1). A third report examined

the dynamics between foreign and domestic

consumer goods makers to help both types of

competitors capture their share of China’s growth.

Introduction

China’s retail market for fast-moving consumer goods

(FMCG) is evolving as quickly and dramatically as it is

growing. Modern trade, which includes supermarkets

and hypermarkets, is making vast inroads in China’s

biggest cities. It now accounts for more than half of all

urban sales of FMCGs and is growing at 14%—faster

than China’s GDP. At the same time, another channel

is gaining signifi cant ground: e-commerce. While it’s

still a small percentage of overall sales—less than

2%—e-commerce is exploding: It grew 53% last year.

We decided to dig deeper to see what lessons we could

develop for consumer goods makers and retailers

pursuing growth from the rising number of middle-

class shoppers. Their expansion has been challenged

by a lack of detailed, real-time data that would enable

retailers to better understand shoppers’ behavior and

fully capture the opportunities before them.

Figure 1: This research is based on a database of 40,000 households in different city tiers in China

Sources: Kantar Worldpanel; Bain analysis

Coverage

Approach and Methodology

• Mainland China; urban (not rural) areas• 1,877 cities covered (373 sample cities) in 20 provinces and four municipality cities• 40,000 urban permanent households• 100-plus consumer product categories

• Approach - Household-based shoppers - Representative sample distribution - Record purchasing behavior on real-time basis• Methodology - Provided scanner to each sample household with standard scanning process to collect data - Focused on understanding shopper’s purchasing behavior

Definitions

City tier (based on administrative definition)

Life stage

• Tier-1 cities: Beijing, Shanghai, Guangzhou• Tier-2 cities: 19 provincial capital cities plus Chongqing, Shenzhen, Qingdao, Dalian, Tianjin• Tier-3 cities: 228 prefecture cities• Tier-4 cities: 322 county cities• Tier-5 cities: 1,300 counties

• Young families: Singles & couples ages 18 to 34, with or without children younger than 14• Older families: Families with children ages 14 to 17• Adult families: Families with all members older than 18, with at least one member between the ages of 18 to 44• Older singles & couples: All members older than 45

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In our fourth report, we explore the implications of our

fi ndings for retailers in modern trade. Our analysis

provides several key insights:

• Modern trade shoppers make fewer trips to the

store but spend more per trip, with the average

price per item increasing.

• E-commerce is experiencing rapid development

and explosive growth, although shoppers are

increasingly using online sites to track down

cheaper prices in a few higher-priced categories.

• As we detailed in our previous reports, China’s

shoppers tend to be repertoire shoppers in most

categories. They prefer to choose from a range of

brands in a particular category for the same need

or occasion instead of being loyal to a brand. The

swift expansion of modern trade is helping to fuel

the trend toward repertoire behavior by offering a

wide variety of brands and promotional activities.

It’s a trend that will favor retailers because

consumer goods companies will be increasing

investments in point-of-sale activation to

encourage new shoppers to choose their brands

over competing brands on the shelf.

• Despite the extensive choices offered by modern

trade, it’s only the top brands and SKUs that

contribute the majority of retail sales, according to

our analysis. That means retailers that strive to

increase listing fees by adding SKUs may actually

be tying up shelf space and working capital with

low-selling SKUs.

• Our research also confi rmed that grocery retailing

in China still is largely a local, city-based business,

given the vast differences in consumer tastes and

behavior. Leading retailers combine an extensive

local footprint designed to achieve broad

penetration with an effective retail model that

motivates shoppers to make repeat visits and

increase their basket size.

Full report

Inside China’s diversifi ed and evolving retail market

More than half of all urban FMCG sales in China now

take place within the high-ceilinged walls of modern

trade. Both hypermarket and supermarket formats have

gained ground in China’s major cities, growing 14% last

year. Hypermarkets represent 27.4% of total retail, while

supermarkets represent 24.8%. By comparison, groceries

account for 23.4% of total retail in China’s largest cities.

Last year, hypermarkets experienced 16% growth and

supermarkets grew by 12%. Meanwhile, e-commerce,

also a modern trade format, is exploding, with 53%

growth. However, it represents a fraction of urban FMCG

sales—just 1.5%. Our survey found that young families

make up more than half of all online shoppers.

Household channel penetration—the number of

households purchasing in a particular channel—grew

slightly for hypermarkets and supermarkets this year.

Hypermarket penetration rose by 2.3% and

supermarket penetration by 0.6%. And shoppers are

spending more: Annual household spending increased

in hypermarkets by 13.9% and in supermarkets by

11.1% (see Figure 2).

While shoppers are spending more, they’re making

fewer trips to the store. Purchasing frequency per

household dropped in both of the major modern trade

formats (see Figure 3). Compared with last year,

shoppers visited hypermarkets and supermarkets less

frequently in 2012, down by 4% for hypermarkets and

8.4% for supermarkets. But shoppers purchased

more items per trip in each of the formats. They

bought 5.7% more items per trip in hypermarkets and

6.2% more in supermarkets. And our research has

found that in addition to buying more items, they’re

also paying more per item. The average price per item

in a hypermarket rose 12.3% compared with a 14.2%

rise in supermarkets. This price-per-item increase

appears to be spurred by a number of factors,

including larger package sizes, rising prices and some

trading up to premium products.

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Figure 2: Modern trade’s growth comes mainly from an increase in household spending, while e-commerce is still developing quickly

*Total number of urban households in China is estimated at ~160m households in 2012, excluding non-permanent resident households, such as migrant workers, students, military and so onNote: Data includes 106 FMCG categories covering ambient and chilled food and drink, personal care and household products, excluding fresh food, white goods and electronicitems; supermarket includes CVS and mini-martsSources: Kantar Worldpanel; Bain analysis

0

50

100

150M

Number of urban households* purchasing in the channel at least oncea year (2011 vs. 2012)

0

1,000

2,000

3,000

Annual spending per household (RMB, 2011 vs. 2012)

Household penetration by channel Household annual spending by channel

E-commerce

357 396

+11%

Supermarket

1,4751,639

+11.1%

Hypermarket

1,8712,131

+13.9%

E-commerce

2535

+37.9%

Supermarket

140 141

+0.6%

Hypermarket

117 120

+2.3%

July 2010–June 2011 July 2011–June 2012

Figure 3: Modern trade’s shopping frequency is decreasing, while online shopping prices are much higher but declining

Note: Data includes 106 FMCG categories covering ambient and chilled food and drink, personal care and household products, excluding fresh food, white goods and electronic items;supermarket includes CVS and mini-martsSources: Kantar Worldpanel; Bain analysis

Shopping frequency Trip size Average price per item

0

10

20

30

Frequency per year per household(Number of times, 2011 vs. 2012)

0

2

4

6

8

10

Number of items per trip (2011 vs. 2012)

0

10

20

30

40

Price per item (RMB, 2011 vs. 2012)

37.935.7

-5.9%

E-commerce

23.725.9

Supermarket

-8.4%

2.6 3.0

E-commerce

+13%

7.68.0

+5.7%

Hypermarket

6.87.2

+6.2%

Supermarket

3.6 3.8

+4.4%

E-commerce

9.1 10.2

+12.3%

Hypermarket

8.4 9.5

+14.2%

Supermarket

July 2010–June 2011 July 2011–June 2012

Hypermarket

27.126.0

-4%

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For its part, e-commerce penetration gained signifi cant

ground, growing by 37.9% in 2012, as Chinese

consumers discovered online options for purchases.

The increasing penetration of e-commerce was

accompanied by an 11% rise in the amount shoppers

spent online. While shoppers are paying fewer visits to

hypermarkets and supermarkets, they’re visiting

e-commerce retail sites more frequently than they did

last year—by 13%. And while the number of items they

purchased during online visits increased 4.4%, they’re

spending less per item, even though the price per item

for e-commerce is considerably higher than in modern

trade. The likely reason: Shoppers tend to go online in

search of deals, with their spending heavily skewed

toward more expensive categories like baby diapers or

cosmetics, where there is potential for major savings.

Another reason is that e-commerce sites also offer a

broader selection of imported products.

China’s shoppers clearly have a preferred channel for

each category they purchase (see Figure 4). For

example, while 40% of all facial tissue is purchased in

hypermarkets, shoppers buy only 15.8% of their

cosmetics there. Shoppers prefer buying cosmetics,

skin care and baby categories, such as diapers and

infant milk powder, in specialty stores or online. When

combined, these categories represent about 60% of all

online purchases. Shoppers favor the grocery channel

for beer, ready-to-drink (RTD) tea, carbonated soft

drinks (CSDs) and bottled water.

How retail channel dynamics infl uenceshopper behavior

Our analysis shows that all forms of modern trade

are more common in China’s cities. In fact, more

than half of all modern trade spending takes place in

Tier-1 and Tier-2 cities. Hypermarkets are three times

more prevalent in Tier-1 cities than in Tier-5 cities (see Figure 5). Because modern trade offers a

wider availability of brands for shoppers, we found a

corresponding increase in repertoire behavior in

Tier-1 and Tier-2 cities. For example, the average Tier-1

household purchased biscuits 21 times last year and

chose 8.4 brands. With fewer brands available to

them, shoppers in Tier-5 cities bought biscuits 10.7

times and chose 4.7 brands.

Figure 4: Channel mix differs across categories; cosmetics and baby categories skew to specialty stores, while some beverage categories are strong in grocery

Note: “Others” includes beauty salons, direct sales, drugstores, milk stores, overseas purchases, wholesale, family shopping, work unit and giftsSources: Kantar Worldpanel; Bain analysis

0

20

40

60

80

100%

Channelpreference

Tota

l FM

CG

Modern trade

Faci

al ti

ssue

Fabr

ic s

ofte

ner

Che

win

g gu

m

Toot

hbru

shes

Toot

hpas

te

Toile

t tis

sue

Insta

nt n

oodl

es

Sham

poo

Fabr

ic d

eter

gent

Bisc

uits

Yogu

rt

Pers

onal

was

h

Hai

r con

ditio

ner

Can

dy

Cho

cola

te

Kitc

hen

clea

ners

Milk

Juic

e

Grocery

CSD

s

RTD

tea

Bottl

ed w

ater

Beer

Specialty storeand e-commerce

Baby

dia

per

Infa

nt fo

rmul

a

Skin

car

e

Col

or c

osm

etic

s

Value share by channel (July 2011 to June 2012)

Grocery E-commerce Other channelsDepartment storesSpecialty storesSupermarket/CVS/miniHypermarket

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Given the prevalence of repertoire shoppers in top-tier

cities, it seems logical that brands and retailers invest

in promotions for repertoire categories at a rate

corresponding with city size. In repertoire categories,

the bigger the city tier, the bigger the investment in

promotions (see Figure 6). Last year, promotions

generated 31% of repertoire category revenues for Tier-

1 stores, compared with 13% of the repertoire category

revenue in Tier-5 stores. Across all city tiers, retailers

use promotions in loyalist categories almost as much

as in repertoire categories. About 25% of Tier-1 and

10% of Tier-5 modern trade revenues in loyalist

categories come from promotions. But as we

mentioned in our previous reports, Bain research

shows that it is not necessary to constantly rely on in-

store activation in loyalist categories. So, brands and

retailers may need to reassess the effectiveness of

promotions in loyalist categories.

Another important fi nding from our survey: Despite

the extensive choices offered by modern trade, just a

few brands deliver the majority of all revenue. A

breakdown shows that among all modern trade players

in China, the top fi ve brands of fabric detergent

accounted for 65% of the category’s revenues.

Such fi ndings suggest that retailers should

aggressively prune their shelves, devoting space only

to top sellers. But across China, modern trade retailers

often depend on the listing fees they receive for selling

multiple SKUs. As a result, many are tying up shelf

space and working capital by selling low-revenue

SKUs (see Figure 7). How signifi cant is the impact?

When we looked at two categories, personal care and

beverages, at two hypermarket retailers in China, we

found that the bottom 25% of SKUs contribute 3% or

less of sales revenues.

When retailers eliminate low-revenue SKUs, they

make it easier for shoppers to choose and often

improve performance. For example, when a retailer

cuts 40% of its low-performing SKUs, fi lling the space

Figure 5: Modern trade is more prevalent in higher-tier cities

Notes: 1) Aggregation of 24 categories; excludes infant formula and baby diapers, as these two categories came from Kantar Worldpanel Baby, which only covers Tier-1 and Tier-2 cities;2) Traditional trade includes grocery, specialist stores, free mart and department stores; 3) “Others” includes beauty salons, direct sales, drug stores, milk stores, overseas purchases,wholesale, family shopping, work unit and gifts.Sources: Kantar Worldpanel; Bain analysis

Moderntrade

0

20

40

60

80

100%

Tier-1 city Tier-2 city Tier-3 city Tier-4 city Tier-5 city

Super/CVS

Hyper

Traditionaltrade

Others

Market value split by channel in different tier cities (%, July 2010 to June 2011)

Onlineshopping

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Figure 6: Promotions are more active in higher-tier cities for repertoire categories, but loyalist categories are not far behind

Repertoire categories Loyalist categories

More active promotions in higher-tier cities and repertoire categories… …but loyalist categories

are not far behind

Is promotion money invested in loyalist categories well spent?

0

10

20

30

40%

Tier-1

31%

Tier-2

27%

Tier-3

22%

Tier-4

20%

Tier-5

13%

Tier-1

25%

Tier-2

22%

Tier-3

17%

Tier-4

14%

Tier-5

10%

% of revenue from promotions within modern trade by city tier (July 2011 to June 2012)

0

10

20

30

40%

% of revenue from promotions withinmodern trade (July 2011 to June 2012)

Repertoire

23%

Loyalist

18%

Note: Data is based on 26 FMCG categoriesSources: Kantar Worldpanel; Bain analysis

Figure 7: Many retailers have a tendency to sell many SKUs that don’t contribute much to revenues but that tie up shelf space and working capital

China store-level example(selected personal care category)

China city-level example(selected beverage category)

0

20

40

60

80

100%

Accumulated sales revenue for category X at hypermarket A

% of SKUs

0 25% 50% 75% 100%0

20

40

60

80

100%

Accumulated sales revenue for category Y at hypermarket B

% of SKUs

25% 50% 75% 100%

Bottom 25% of SKUs contribute only ~3% or less of revenues

Source: Bain China experience

Top-quartile SKUscontributed to~70% revenue

Bottom 50% SKUscontributed to only

~10% revenue

Bottom 25% SKUscontributed to only

~3% revenue

Top-quartile SKUscontributed to~75% revenue

Bottom 50% SKUscontributed to only

~7% revenue

Bottom 25% SKUscontributed to only

~2% revenue

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with fast-moving items, it found that 80% of its

customers saw no difference in the variety and 15%

actually thought there were more items than before.

The move not only improved customers’ perception of

variety but also improved sales by 25%. But eliminating

SKUs requires caution. It’s important to separate the

SKUs that can easily be replaced from those with a

loyal customer following.

What makes hypermarkets succeed?

Based on our retail experience, we’ve learned that

retailers’ performance stems from their local market

share at the city or regional level. To understand what

separates leaders from followers among modern trade

retailers in China, we compared the experiences of

hypermarkets in two important cities: Shanghai and

Wuhan. We’ve found that local market share growth

depends on two factors: 1) a retailer’s expanded store

footprint and sales area, leading to increased

penetration, and 2) the effectiveness of the retail model,

which translates that store’s footprint into revenues. So

it’s no coincidence that in Wuhan, the hypermarket

retailer with the highest revenue share is Zhongbai, the

company with the deepest penetration (see Figure 8).

Part of that successful penetration results from Zhongbai’s

footprint. It has 71 hypermarkets in Wuhan—23 more

than its closest competitor.

But having a big footprint isn’t enough. Retailers need

to take advantage of their footprint by gaining an

increasing “share of wallet,” that is, encouraging more

frequent shopper purchases and in a broader range of

categories. Here, too, Zhongbai comes out on top. The

average household takes 18.6 trips to a Zhongbai store

in Wuhan each year, compared with 11.2 trips for its

closest competitor. Zhongbai leads in the number of

categories purchased. The average household buys 26

categories in one of its stores each year, compared with

16.3 for the runner-up. This success in purchasing

frequency and number of categories has allowed

Zhongbai to capture a high share of wallet that is

nearly twice as much as Carrefour, its nearest

competitor (see Figures 9 to 10).

Figure 8: In each city, penetration is a key driver of retailers’ performance

0

10

20

30

40

50%

0 20 40 60 80 100

Penetration in Wuhan(Percentage of households that purchased atleast once a year, July 2011 to June 2012)

Market value share of hypermarket in Wuhan (July 2011 to June 2012)

A Best

Beijing HualianLotus

RT-Mart Zhongshang Pingjia

Wal-Mart

CarrefourWushang Liangfan

ZhongbaiR²=0.84

0

5

10

15

0 20 40 60

Auchan

Penetration in Shanghai(Percentage of households that purchased atleast once a year, July 2011 to June 2012)

Market value share of hypermarket in Shanghai (July 2011 to June 2012)

E-MartNGS

Wal-Mart

Century Mart

Hualian GMSLotus

CarrefourRT-Mart

TescoR²=0.62

Note: Data includes 106 FMCG categories covering ambient and chilled food and drink, personal care and household products, excluding fresh food, white goods and electronicitems; Chinese hypermarkets include those headquartered in Taiwan, Hong Kong and MacaoSources: Kantar Worldpanel; Bain analysis

Hypermarkets in Wuhan Hypermarkets in Shanghai

Chinese hypermarkets MNC hypermarkets

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Figure 9: Retailers’ performance is also driven by each player’s ability to translate its footprint advantage into revenues, or “share of wallet”

Zhongbai

46.0%

Carrefour

25.8%

WushangLiangfan

22.3%

Wal-Mart

20.6%

ZhongshangPingjia

18.4%

RT-Mart

14.5%

A Best

10.9%

Lotus

10.2%

BeijingHualian

8.3%

Wuhan retailers in hypermarkets

Average 20%

0

10

20

30

40

50%

Share of wallet comparison across key hypermarkets (July 2011 to June 2012)

Note: “Share of wallet” refers to the percentage of each hypermarket shoppers’ spending in that hypermarket chain vs. his or her total spending in all hypermarket chains; dataincludes 106 FMCG categories covering ambient and chilled food and drink, personal care and household products, excluding fresh food, white goods and electronic itemsSources: Kantar Worldpanel; Bain analysis

Figure 10: “Share of wallet” in Wuhan is mainly driven by the frequency and the number of categories purchased

0

10

20

30

40

50%

0 5 10 15 20

Annual frequency per household at eachhypermarket (July 2011 to June 2012)

Share of wallet (July 2011 to June 2012)

A Best

Beijing HualianLotus

RT-MartZhongshang Pingjia

Wal-Mart

CarrefourWushang Liangfan

ZhongbaiR²=0.90

0 10 20 30

Number of categories purchased at each hypermarketper household per year (July 2011 to June 2012)

Share of wallet (July 2011 to June 2012)

Wal-Mart

Lotus

Carrefour

RT-Mart

R²=0.93

Note: “Share of wallet” refers to the percentage of each hypermarket shoppers’ spending in that hypermarket chain vs. his or her total spending in all hypermarket chains; dataincludes 106 FMCG categories covering ambient and chilled food and drink, personal care and household products, excluding fresh food, white goods and electronic itemsSources: Kantar Worldpanel; Bain analysis

Share of wallet driven by frequency… …and number of categories purchased

Chinese hypermarkets MNC hypermarkets

0

10

20

30

40

50%Zhongbai

Wushang LiangfanZhongshang Pingjia

Beijing Hualian

A Best

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Zhonghai’s success in Wuhan offers lessons for

retailers like Carrefour and Lotus in Shanghai. Both

have a big footprint in Shanghai—Carrefour has 23

stores and Lotus has 25 stores—but these retailers

haven’t successfully used that advantage to earn a

higher share of wallet. Among the 10 largest

hypermarket retailers in Shanghai, Lotus and Carrefour

rank sixth and seventh, respectively (see Figure 11 ).

In Shanghai, Auchan is the leading hypermarket

retailer when it comes to share of wallet, which

increases with shopper frequency and the number of

categories purchased. For example, Auchan’s average

shopper household visited the retailer 16.8 times last

year—more than Lotus’s 11 and Carrefour’s 9.7. Also,

Auchan’s shoppers bought an average of 20.5

categories, surpassing Lotus’s 17.2 and Carrefour’s

16.7 (see Figure 12).

At a national level, top Chinese retailers, including

those that originated in Hong Kong, Taiwan and Macau,

enjoy a higher share of wallet than multinational players (see Figure 13). Consider that Zhongbai, RT-Mart,

Vanguard and Yonghui all achieved share of wallet rates

that are higher than multinationals like Wal-Mart,

Auchan, Lotte Mart and Carrefour. The average Chinese

hypermarket share of wallet is 38%, compared with

26% for multinationals. A major contributing factor to

the success of Chinese hypermarkets is their local

focus, which translates into higher loyalty in terms of

more frequent visits and more categories purchased.

One important note: The 106 FMCG categories we

studied don’t include other key elements that may

contribute to retailers’ success, such as the

competitiveness of fresh produce or shoppers’ overall

price perception of the retailer.

Figure 11 : Although Carrefour and Lotus have a footprint advantage in Shanghai, they cannot success-fully translate that into a higher share of wallet...

Auchan

35.2%

Tesco

29.9%

HualianGMS

27.9%

RT-Mart

26.0%

CenturyMart

22.7%

Lotus

20.7%

Carrefour

20.6%

NGS

18.7%

Wal-Mart

16.5%

E-Mart

16.0%

Shanghai retailers in hypermarkets

Share of wallet comparison across key hypermarkets (%, July 2011 to June 2012)

Note: “Share of wallet” refers to the percentage of each hypermarket shoppers’ spending in that hypermarket chain vs. his or her total spending in all hypermarket chains; dataincludes 106 FMCG categories covering ambient and chilled food and drink, personal care and household products, excluding fresh food, white goods and electronic itemsSources: Kantar Worldpanel; Bain analysis

0

10

20

30

40%

Average 23.2%

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Page 13

Figure 12: …driven in Shanghai by an average frequency and the number of categories purchased compared with leading retailers, such as Auchan, Tesco, RT-Mart and Hualian GMS

0

10

20

30

40%

0 5 10 15 20

Annual frequency per household at eachhypermarket (July 2011 to June 2012)

Share of wallet (July 2011 to June 2012)

Lotus

RT-Mart

Wal-Mart

Carrefour

R²=0.93

0 10 20 30

Number of categories purchased at each hypermarketper household per year (July 2011 to June 2012)

Share of wallet (July 2011 to June 2012)

Wal-MartLotus

CarrefourRT-Mart

R²=0.83

Note: “Share of wallet” refers to the percentage of each hypermarket shoppers’ spending in that hypermarket chain vs. his or her total spending in all hypermarket chains; dataincludes 106 FMCG categories covering ambient and chilled food and drink, personal care and household products, excluding fresh food, white goods and electronic itemsSources: Kantar Worldpanel; Bain analysis

Share of wallet driven by frequencywhere Chinese retailers tend to outperform...

…as well as the number of categories purchased

Chinese hypermarkets MNC hypermarkets

0

10

20

30

40%

E-Mart

NGS

Auchan

Century Mart

Hualian GMSTesco

E-Mart

NGS

Auchan

Century Mart

Hualian GMS

Tesco

Figure 13: Overall, by being more locally focused, Chinese retailers seem to outperform MNCs on the frequency and the average number of categories purchased

0

20

40

60%

0 5 10 15 20

Annual frequency per household at eachhypermarket in China (July 2011 to June 2012)

Share of wallet (July 2011 to June 2012)

R²=0.78

0 10 20 30

Number of categories purchased at each hypermarketper household per year in China (July 2011 to June 2012)

Share of wallet (July 2011 to June 2012)

Wal-Mart

Lotus

R²=0.86

Note: “Share of wallet” refers to the percentage of each hypermarket shoppers’ spending in that hypermarket chain vs. his or her total spending in all hypermarket chains; dataincludes 106 FMCG categories covering ambient and chilled food and drink, personal care and household products, excluding fresh food, white goods and electronic itemsSources: Kantar Worldpanel; Bain analysis

Share of wallet driven by frequencywhere Chinese retailers tend to outperform...

…as well as the number of categories purchased

Chinese hypermarkets MNC hypermarkets

0

20

40

60%

Auchan

Century Mart

Lotte Mart

Tesco

Carrefour

RT-Mart

Zhongbai

VanguardYonghui

Lotus Auchan

Century Mart

Tesco

Carrefour

RT-Mart

Zhongbai

Wu-Mart

Yonghui

Wu-MartLotte Mart

Wal-MartVanguard

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Page 14

• Local market share is a major contributor to

retailers’ performance. To expand their share,

retailers should adopt a regional approach and

focus fi rst on building local scale in targeted

markets. Winners combine an extensive footprint

designed to achieve broad penetration with an

effective retail model that motivates shoppers to

make repeat visits and increase their basket size.

• By being more locally focused, local retailers

appear to outperform multinationals in the key

dimensions of shopping frequency and the

number of categories purchased.

Implications for retailers

What do these insights mean for retailers striving to

grow in China?

• Repertoire behavior will increase as modern trade

expands into lower-tier cities. This will benefi t

retailers as brands spend more on in-store

activation in repertoire categories.

• Retailers should work with the leading brands in

each category to deliver better category manage-

ment and increase the rate of sales. When retailers

increase listing fees by adding SKUs—often low-

selling items—the proliferation of brands on the

shelf can confuse shoppers and ultimately have a

detrimental impact on retailers’ performance.

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Page 16

About the authors

Bruno Lannes is a partner in Bain’s Shanghai offi ce and leads the fi rm’s Consumer Products and Retail practices

for Greater China. You may contact him by email at [email protected]

Kevin Chong is a partner in Bain’s Shanghai offi ce. You may contact him by email at [email protected]

Weiwen Han is a partner in Bain’s Shanghai offi ce. You may contact him by email at [email protected]

Philip Leung is a partner in Bain’s Shanghai offi ce. You may contact him by email at [email protected]

Fiona Liu is a manager in Bain’s Shanghai offi ce. You may contact her by email at fi [email protected]

Marcy Kou is managing director at Kantar Worldpanel Asia. You may contact her by email at

[email protected]

Jason Yu is general manager at Kantar Worldpanel China. You may contact him by email at [email protected]

Please direct questions and comments about this report via email to the authors.

Acknowledgments

This report is a joint effort between Bain & Company and Kantar Worldpanel. The authors extend gratitude to

all who contributed to this report, in particular Kelly Pu, Agnes Lin, Daniel Pan and Junliang Zhu from Bain &

Company and Justin Cook from Kantar Worldpanel.

This concludes our 2012 series of reports on Chinese shoppers. All four reports are available in English and Chinese on www.bain.com and www.bain.cn

The previous three reports in this series covered:

• What Chinese shoppers really do and what this research means for retailers

• How Chinese shoppers’ behavior varies by city tier, by category type or by life stage

• The implications for multinational companies and local fi rms across categories

We look forward to continuing our research on Chinese shoppers in 2013.

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Shared Ambit ion, True Re sults

Bain & Company is the management consulting fi rm that the world’s business leaders come to when they want results.Bain advises clients on strategy, operations, technology, organization, private equity and mergers and acquisitions. We develop practical,

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our deep expertise and client roster cross every industry and economic sector. Our clients have outperformed the stock market 4 to 1.

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Results Delivery® process builds our clients’ capabilities, and our True North values mean we do the right thing for our clients, people and

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local clients across more than 30 industries. We have served our clients in more than 40 cities in China. There are now three offi ces in the

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and advanced analytics to bring you unrivaled sharpness and clarity of insight to both the big picture and the fi ne detail. We help our

clients understand what people buy, what they use and the attitudes behind shopper and consumer behavior.

We use the latest data collection technologies best matched to the people and the environment we are measuring. Our expertise is rooted

in hard, quantitative evidence—evidence that has become the market currency for local and multinational FMCG brand and private label

manufacturers, fresh food suppliers, retailers, market analysts and government organizations. We are not limited to the grocery sector; we

have a wide range of panels in fi elds as diverse as entertainment, communications, petrol, fashion, personal care, beauty, baby and food-

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It’s what we do with our data that sets us apart. We apply hindsight, insight, foresight and advice to make a real difference to the way you

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We have more than 40 years' experience in helping companies shape their strategies and manage their tactical decisions; we understand

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