Uk Consumer Insights 2009: Comet – Electricals -Aarkstore Enterprise

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Uk Consumer Insights 2009: Comet – Electricals -Aarkstore Enterprise

UK Consumer Insights 2008 are based around individual retailers and provide a highly detailed, data-rich overview of a retailer’s customers, drawing on a nationwide survey of 6,000 shoppers each year.

Reasons to Purchase

*New analysis, unique to these reports shows details about non-converting visitors including where they main shop and who they are.
*Analysis by non-standard demographics is also presented to give a comprehensive picture of a retailer’s customers.
*Key demographics include among others, sex, age, social class, television region, marital status, housing tenure, working status and ACORN group.

Table of Contents :
“About the cDNA programme 3

Section 1: At a glance summary 4
- At a glance summary 5

Section 2: Share of shoppers 6
- Comet share of shoppers 7
- Comet share of shoppers by demographics 8
- Comet share of shoppers by television region 9
- Comet share of shoppers by household characteristics 10
- Comet share of shoppers by other characteristics and ACORN classification 11

Section 3: Conversion and non-conversion 12
- Comet conversion of visitors to main users 13
- Comet conversion of visitors to main users by demographics and region 14
- Comet conversion of visitors to main users by household characteristics 15
- Non-converting customers 16
- Profile of Comet non-converting customers by demographics and region 17

Section 4: Shopper profiles 18
- Comet profile of shoppers by demographics 19
- Comet profile of shoppers by television region 20
- Comet profile of shoppers by household characteristics 21
- Comet profile of shoppers by other characteristics and ACORN classification 22

Section 5: Loyalty 23
- Comet loyalty of main users 24
- Comet loyalty of main users by demographics and region 25
- Comet loyalty of main users by household characteristics 26
- Comet basic drivers of loyalty and disloyalty 27
- Comet detailed drivers of loyalty 28

Section 6: Competition 29
- Competition in electricals 30
- Cross sector competitor dynamics 31

Appendix 32
Basic Methodology 33
Detailed Methodology 34″

 For More information please contact :

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Uk Consumer Insights 2009: Homebase – Diy -Aarkstore Enterprise

admin    Web Marketing     2009, Aarkstore, consumer, Enterprise, Homebase, insights

Uk Consumer Insights 2009: Homebase – Diy -Aarkstore Enterprise

UK Consumer Insights 2009 are based around individual retailers and provide a highly detailed, data-rich overview of a retailer’s customers, drawing on a nationwide survey of 6,000 shoppers each year.

Reasons to Purchase

*New analysis, unique to these reports shows details about non-converting visitors including where they main shop and who they are.
*Analysis by non-standard demographics is also presented to give a comprehensive picture of a retailer’s customers.
*Key demographics include among others, sex, age, social class, television region, marital status, housing tenure, working status and ACORN group.

Table of Contents :
“About the cDNA programme 3

Section 1: At a glance summary 4
- At a glance summary 5

Section 2: Share of shoppers 6
- Homebase share of shoppers 7
- Homebase share of shoppers by demographics 8
- Homebase share of shoppers by television region 9
- Homebase share of shoppers by household characteristics 10
- Homebase share of shoppers by other characteristics and ACORN classification 11

Section 3: Conversion and non-conversion 12
- Homebase conversion of visitors to main users 13
- Homebase conversion of visitors to main users by demographics and region 14
- Homebase conversion of visitors to main users by household characteristics 15
- Non-converting customers 16
- Profile of Homebase non-converting customers by demographics and region 17

Section 4: Shopper profiles 18
- Homebase profile of shoppers by demographics 19
- Homebase profile of shoppers by television region 20
- Homebase profile of shoppers by household characteristics 21
- Homebase profile of shoppers by other characteristics and ACORN classification 22

Section 5: Loyalty 23
- Homebase loyalty of main users 24
- Homebase loyalty of main users by demographics and region 25
- Homebase loyalty of main users by household characteristics 26
- Homebase basic drivers of loyalty and disloyalty 27
- Homebase detailed drivers of loyalty 28

Section 6: Competition 29
- Competition in DIY 30
- Cross sector competitor dynamics 31

Appendix 32
Basic Methodology 33
Detailed Methodology 34″

 For More information please contact :

http://www.aarkstore.com/reports/UK-Consumer-Insights-2009-Homebase-DIY-15650.html

Uk Consumer Insights 2009: B&q – Diy -Aarkstore Enterprise

admin    Web Marketing     2009, Aarkstore, consumer, Enterprise, insights

Uk Consumer Insights 2009: B&q – Diy -Aarkstore Enterprise

UK Consumer Insights 2009 are based around individual retailers and provide a highly detailed, data-rich overview of a retailer’s customers, drawing on a nationwide survey of 6,000 shoppers each year.

Reasons to Purchase

*New analysis, unique to these reports shows details about non-converting visitors including where they main shop and who they are.
*Analysis by non-standard demographics is also presented to give a comprehensive picture of a retailer’s customers.
*Key demographics include among others, sex, age, social class, television region, marital status, housing tenure, working status and ACORN group.

Table of Contents :
“About the cDNA programme 3

Section 1: At a glance summary 4
- At a glance summary 5

Section 2: Share of shoppers 6
- B&Q share of shoppers 7
- B&Q share of shoppers by demographics 8
- B&Q share of shoppers by television region 9
- B&Q share of shoppers by household characteristics 10
- B&Q share of shoppers by other characteristics and ACORN classification 11

Section 3: Conversion and non-conversion 12
- B&Q conversion of visitors to main users 13
- B&Q conversion of visitors to main users by demographics and region 14
- B&Q conversion of visitors to main users by household characteristics 15
- Non-converting customers 16
- Profile of B&Q non-converting customers by demographics and region 17

Section 4: Shopper profiles 18
- B&Q profile of shoppers by demographics 19
- B&Q profile of shoppers by television region 20
- B&Q profile of shoppers by household characteristics 21
- B&Q profile of shoppers by other characteristics and ACORN classification 22

Section 5: Loyalty 23
- B&Q loyalty of main users 24
- B&Q loyalty of main users by demographics and region 25
- B&Q loyalty of main users by household characteristics 26
- B&Q basic drivers of loyalty and disloyalty 27
- B&Q detailed drivers of loyalty 28

Section 6: Competition 29
- Competition in DIY 30
- Cross sector competitor dynamics 31

Appendix 32
Basic Methodology 33
Detailed Methodology 34″

 For More information please contact :

http://www.aarkstore.com/reports/UK-Consumer-Insights-2009-B-Q-DIY-15652.html

Uk Consumer Insights 2009: Asda – Food & Grocery -Aarkstore Enterprise

admin    Web Marketing     2009, Aarkstore, Asda, consumer, Enterprise, Food, Grocery, insights

Uk Consumer Insights 2009: Asda – Food & Grocery -Aarkstore Enterprise

UK Consumer Insights 2009 are based around individual retailers and provide a highly detailed, data-rich overview of a retailer’s customers, drawing on a nationwide survey of 6,000 shoppers each year.

Reasons to Purchase

*New analysis, unique to these reports shows details about non-converting visitors including where they main shop and who they are.
*Analysis by non-standard demographics is also presented to give a comprehensive picture of a retailer’s customers.
*Key demographics include among others, sex, age, social class, television region, marital status, housing tenure, working status and ACORN group.

Table of Contents :
“About the cDNA programme 3

Section 1: At a glance summary 4
- At a glance summary 5

Section 2: Share of shoppers 6
- Asda share of shoppers 7
- Asda share of shoppers by demographics 8
- Asda share of shoppers by television region 9
- Asda share of shoppers by household characteristics 10
- Asda share of shoppers by other characteristics and ACORN classification 11

Section 3: Conversion and non-conversion 12
- Asda conversion of visitors to main users 13
- Asda conversion of visitors to main users by demographics and region 14
- Asda conversion of visitors to main users by household characteristics 15
- Non-converting customers 16
- Profile of Asda non-converting customers by demographics and region 17

Section 4: Shopper profiles 18
- Asda profile of shoppers by demographics 19
- Asda profile of shoppers by television region 20
- Asda profile of shoppers by household characteristics 21
- Asda profile of shoppers by other characteristics and ACORN classification 22

Section 5: Loyalty 23
- Asda loyalty of main users 24
- Asda loyalty of main users by demographics and region 25
- Asda loyalty of main users by household characteristics 26
- Asda basic drivers of loyalty and disloyalty 27
- Asda detailed drivers of loyalty 28

Section 6: Competition 29
- Competition in food & grocery 30
- Cross sector competitor dynamics 31

Appendix 32
Basic Methodology 33
Detailed Methodology 34″

 For More information please contact :

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Uk Consumer Insights 2009: Next – Clothing -Aarkstore Enterprise

admin    Web Marketing     2009, Aarkstore, Clothing, consumer, Enterprise, insights, Next

Uk Consumer Insights 2009: Next – Clothing -Aarkstore Enterprise

UK Consumer Insights 2009 are based around individual retailers and provide a highly detailed, data-rich overview of a retailer’s customers, drawing on a nationwide survey of 6,000 shoppers each year.

Reasons to Purchase

*New analysis, unique to these reports shows details about non-converting visitors including where they main shop and who they are.
*Analysis by non-standard demographics is also presented to give a comprehensive picture of a retailer’s customers.
*Key demographics include among others, sex, age, social class, television region, marital status, housing tenure, working status and ACORN group.

Table of Contents :
“About the cDNA programme 3

Section 1: At a glance summary 4
- At a glance summary 5

Section 2: Share of shoppers 6
- Next share of shoppers 7
- Next share of shoppers by demographics 8
- Next share of shoppers by television region 9
- Next share of shoppers by household characteristics 10
- Next share of shoppers by other characteristics and ACORN classification 11

Section 3: Conversion and non-conversion 12
- Next conversion of visitors to main users 13
- Next conversion of visitors to main users by demographics and region 14
- Next conversion of visitors to main users by household characteristics 15
- Non-converting customers 16
- Profile of Next non-converting customers by demographics and region 17

Section 4: Shopper profiles 18
- Next profile of shoppers by demographics 19
- Next profile of shoppers by television region 20
- Next profile of shoppers by household characteristics 21
- Next profile of shoppers by other characteristics and ACORN classification 22

Section 5: Loyalty 23
- Next loyalty of main users 24
- Next loyalty of main users by demographics and region 25
- Next loyalty of main users by household characteristics 26
- Next basic drivers of loyalty and disloyalty 27
- Next detailed drivers of loyalty 28

Section 6: Competition 29
- Competition in clothing 30
- Cross sector competitor dynamics 31

Appendix 32
Basic Methodology 33
Detailed Methodology 34″

For More information please contact :

http://www.aarkstore.com/reports/UK-Consumer-Insights-2009-Next-Clothing-15662.html

Aarkstore Enterprise Analysis of Global Cruise Market Research

admin    Web Marketing     Aarkstore, Analysis, Cruise, Enterprise, Global, Market, Research

Aarkstore Enterprise Analysis of Global Cruise Market Research

Cruise industry represents a small segment of the vacation industry which itself is a very small part of the leisure industry. The cruise market is characterized by exceptional value proposition, wide appeal, positive guest demographics, high guest satisfaction rate and favorable supply vs. demand balance.

The industry has seen a significant growth over time and it is expected to grow further in the coming years. Though, in 2009, the growth in industry has declined, but it is expected to pick up again as the global economy recovers gradually from the downturn. Seeing the growth potential in cruise market, the number of players has increased and the existing players will be increasing their capacities in the coming years.

North America is the primary market for cruise activities. Though the region represents the most mature market of cruise activities, with majority of passengers originating from US, it is still underdeveloped with huge potential. Hence, industry players are working to increase their ship capacities and lower berth capacities to meet the growing demand of the industry. Europe is the second largest market after North America, representing the fastest growing market. The European cruise industry continues to increase its share of the global cruise market, with UK being the largest shareholder in the European market.

The global cruise industry is now looking towards Asia as a major growth engine. The Asian cruise market is growing at a good growth rate. With the growing middle class group and the increasing interest of people in cruising activities, this region provides ample growth opportunities for the players. Being among the top preferred destination for travelers, the Australian and Singapore cruise industry can witness significant growth in near future.

The present report offers an analysis of the global cruise market. It also discusses major market trends, growth drivers and potential markets for cruise activities. The report also presents the competitive structure of the industry and profiles major players in the cruise market with a discussion of their key business strategies.

By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.
 

For more information, please visit:
http://www.aarkstore.com/reports/Analysis-of-Global-Cruise-Market-38243.html

Or email us at press@aarkstore.com or call +919272852585

 
Table of Contents : 
1. Cruise Market: An Overview

1.1 Introduction

Cruise Industry as a Part of Leisure/Entertainment Industry
Cruise Types by Duration, Type of Customers and Passenger Capacity

1.2 General Terms

General Terms to Measure Cruise Operations

1.3 Characteristics of Cruise Vacation Industry

Features of Cruise Industry in Terms of Demographics, Satisfaction Rate, Supply vs. Demand Scenario

2. Global Cruise Market

Global Passenger Capacity Growth and Addition in Future
Global Cruise Market Revenues Growth with Regional Breakup
Duopoly Situation with two Market Leaders
Capacity Addition by Number of Ships

3. Principal Markets

3.1. North America Cruise Market

3.1.1. Demographics Trend

Cruiser Target Market
Demographics of Cruise Customers

3.1.2 Cruise Industry Statistics

North American Cruise Passengers Growth
Global Embarkations for North American Market
Cruise Passengers by Source Country
Capacity Addition in Terms of Lower Berth and Cruise Ships
Average Length of Cruise
Market Share of Principal Destinations
Growth in Available Bed Days and Passenger Bad Days
Gross Revenues Growth

3.2. European Cruise Market

3.2.1. Demographic Trends

Average Age of Cruisers
UK, Germany, France – Cruisers’ Average Age

3.2.2 Cruise Market Statistics

European Cruise Passengers Growth
Growth in Capacity in Terms of Cruise Ships and Lower Berths
Main European Cruise Markets
European Cruise Market by Source Country
European Cruise Market by Destination Country
Share of Passengers by Duration
Regional Share of Passengers by Destination

4. Potential Cruise Markets

4.1. Global Under-Penetration

Penetration Rate in North America and Europe

4.2. Asia Pacific Cruise Market: Long-Term Growth Potential

4.2.1 Market Overview

Asia Pacific Share in Global Cruise Revenues
Growth in Cruise Passengers in Asia Pacific
East Asian and South-East Asia Cruise Passengers Growth

4.2.2 Demographic Trends

Demographic Factors of Asia

4.2.3 Australian Cruise Market

Growth in Australian Resident Passengers
Growth in Total Passenger Days at Port
Number of Visiting Cruise Ships
Growth in Passenger Capacity
Total Passenger Expenditure Growth

4.2.4 Singapore Cruise Market

Growth in Number of Ships
Cruise Passengers Throughput Growth
Number of Ship Calls

5. Market Developments

5.1 Market Trends

5.1.1 Travel Agents
5.1.2 Booking Trend
5.1.3 New Offers in Pricing
5.1.4 Rise in Group Travels
5.1.5 Growth in Eco-Friendly Vessels

5.2 Key Growth Drivers

5.2.1 Attractive Value Propositions
5.2.2 Increasing Consumer Spending and Income
5.2.3 Demography: from Old and Rich to Young and Cost Aware
5.2.4 Expanding Middle Class in Asia
5.2.5 Growing World GDP
5.2.6 Employment Growth

6. Competition Landscape of Cruise Market

6.1 Competitive Analysis

Leading Players in North America
Leading Players in Europe

6.2 Company Profiles

6.2.1 Carnival Corporation (CCL)

Business Overview
Business Strategies
Expanding in Europe: Potential Area
Enhance Presence in Emerging Markets

6.2.2 Royal Caribbean Cruises Ltd. (RCL)

Business Overview
Business Strategies
Developing Brands Custom-Tailored to Specific Markets
New Markets and Itineraries

6.2.3 TUI Ag

Business Overview
Business Strategies
Pro-Active Capacity Management
Increased Focused on Differentiated Products and Emerging Markets
Streamlining Non-Core Assets

7. Market Outlook
7.1 Market Forecast

7.2 Forecast Methodology
7.2.1 Dependent and Independent Variables
7.2.2 Correlation Analysis
7.2.3 Regression Analysis

List of Tables

Type of Cruises
Market Segments by Passenger Capacity
New Passenger Capacity Addition Statistics (2010-2012)
Overview of Cruise Clients, North America (2008)
Regional % of Passengers by Destination, European Cruise Market (2008)
Low Penetration Rate, North America and Europe
Total Passenger and Crew Days by Ports, Australia (2008-2009)
Carnival Corporation Cruise Operations (2009)
Carnival Corporation Capacity Statistics (2005-2009)
Carnival Corporation Total Revenues by Segment (2005-2009)
Royal Caribbean Cruises Operating Statistics (2005-2009)
Dependent & Independent Variables (2003– 2009)
Correlation Table
Model Summary – Coefficient of Determination
Regression Coefficients Output

Aarkstore Enterprise – Britain Shops: Clothing -Aarkstore Enterprise Market Research

admin    Web Marketing     Aarkstore, Britain, Clothing, Enterprise, Market, Research, Shops

Aarkstore Enterprise – Britain Shops: Clothing -Aarkstore Enterprise Market Research

Table of Contents :

Introduction 1
Summary 1
The proportion of consumers regularly shopping for clothing has fallen. 1
Consumers aged 25-44 have cut back the most. 1
Male shoppers have been deterred by the recession more than females. 1
Mid-market players are fighting for main user share. 1
Conversion rates have continued to slide as shopping around increases. 1
Loyalty has risen across all demographics to reach record levels. 1
Quality, convenience and service have become increasingly important loyalty drivers. 1
M&S continues to succeed, despite the recession. 1
TK Maxx is struggling to keep up. 1
The convenience of buying clothing from grocers has reduced the level of shopping around. 1
Executive Summary 2
Key findings 2
The proportion of consumers regularly shopping for clothing has fallen 2
Consumers in the 25-44 age bracket have been feeling the pinch 2
Male shoppers have been deterred by the recession more than females 2
As price becomes more important, mid-market retailers have fought back 2
Conversion rates have continued to slide as shopping around increases 2
Loyalty has risen across all demographics to reach record levels 3
Quality, convenience and service have become increasingly important loyalty drivers 3
Retailer highlights 3
M&S continues to succeed, despite the recession 3
New Look’s main users shop around the most, as price has become increasingly important 3
Grocers’ main users shop around less than their competitors’ 3
TK Maxx is struggling to keep up 3
Debenhams’ ‘Designer’ ranges have helped to boost its visitor and main user shares 4
Primark has made gains in terms of main user share, due to increased concerns over price 4
Table of Contents 5
Table of figures 5
Sector Summary 7
Share of shoppers 7
Consumers have cut back on discretionary items 7
Penetration of clothing shoppers 12
Male shopper numbers have fallen 12
Retailer Usage 14
M&S stays on top 14
Main user share by TV region 19
Conversion Rates 20
Conversion rates have slipped for the third consecutive year 20
Shopping Around 23
New Look’s users shop around most 23
Loyalty 25
Loyalty has improved across all demographics 25
Drivers of loyalty/disloyalty 29
Quality has seen the largest rise in importance 29
Asda 37
The recession has helped to boost the number of Asda’s main users 37
Asda faces a growing threat from other value clothing retailers 37
Asda has benefitted from an increase in recession-hit consumers 37
Asda’s efforts to improve quality have not been recognised by its main users 37
Price continues to be the main driver of loyalty, while range disappoints Asda’s disloyal main users 37
Visitors 38
Asda’s range continues to appeal to young family shoppers 38
Main users 40
Asda’s main user share has grown, as AB and C1 shoppers have been forced to trade down 40
Conversion rates 42
The convenience of one-stop shopping continues to convert male visitors into main users 42
Loyalty 44
Customer loyalty to Asda has increased for the third successive year 44
Competitors 48
Asda remains a favourite in other product sectors 48
Bonmarché 50
Bonmarché must focus on its core target market to avoid spreading itself too thinly 50
Bonmarché’s visitor and main user shares have both declined 50
The 65-plus demographic should be Bonmarché’s primary focus 50
A more youthful range has done little to excite younger customers 50
Initiatives to improve customer loyalty have paid off 50
Visitors 51
Bonmarché’s visitor share across all demographics has declined, bar one 51
Main users 53
Bonmarché’s main user share has declined as competition has intensified 53
Conversion rates 55
Bonmarché continues to improve the conversion rate of DEs 55
Loyalty 57
Range and price have driven an increase in loyalty 57
Competitors 61
Bonmarché’s main users have stuck to what they know 61
Debenhams 63
Debenhams’ broad appeal has helped boost its visitor and main user share 63
Debenhams’ ranges appeal to all socioeconomic groups 63
New designer ranges will help increase the number of Debenhams’ younger main users 63
Male shoppers continue to have a higher conversion rate 63
Customer loyalty has declined, as shoppers look for cheaper alternatives 63
Visitors 64
Debenhams’ visitor share continues to rise, particularly among older shoppers 64
Main users 66
Debenhams’ main user share has risen 1.7 percentage points in two years 66
Conversion rates 68
Conversion rates have improved across most demographics, apart from the 65-plus and DE segments 68
Loyalty 70
Customer loyalty has declined among both male and female main users 70
Competitors 74
Shopping around has risen again after a drop in 2009 74
Marks & Spencer 76
The clothing market leader continues to impress 76
Older visitors boost M&S’ overall visitor share 76
M&S’ main user share remains the highest 76
Customer loyalty has improved across every demographic 76
Visitors 77
Older shoppers boost M&S’ visitor share 77
Main users 79
M&S’ main user share has risen by 0.5 percentage points 79
Conversion rates 81
M&S has the best conversion rate among all profiled retailers 81
Loyalty 83
Customer loyalty has improved across all demographics 83
Competitors 87
Shopping around has remained low 87
Matalan 89
Matalan is struggling to keep up with Primark and Asda/George 89
Matalan’s new sub-brand has done little to attract 16-24 year olds 89
A decline in main user share has knocked Matalan out of the top five 89
An increase in shopping around has pushed Matalan to just below average 89
Visitors 90
Matalan’s visitor share has fallen 0.5 percentage points, as value competitors have expand their presence 90
Main users 92
Matalan’s core C2 and DE target groups have increased in terms of main user share 92
Conversion rates 94
Matalan’ conversion rate has fallen by 0.6 percentage points 94
Loyalty 96
AB and C1 loyalty has improved 96
Competitors 100
Matalan’s main users are searching for value for money across more retailers 100
New Look 102
New Look’s value fashion ranges continue to drive footfall 102
New Look’s visitor share has risen across all socioeconomic segments 102
Despite further developments in its menswear range, New Look’s male main user share remains the same 102
Price has overtaken range to become the main driver of loyalty 102
New Look’s main users continue to shop around 102
Visitors 103
New Look’s visitor share has risen once more after a dip in 2009 103
Main users 105
New Look’s male main user share remains stagnant, while its female share continues to grow 105
Conversion rates 107
New Look has struggled to convert footfall into high-spending customers 107
Loyalty 109
Main user loyalty has risen by 3.1 percentage points 109
Competitors 113
Among all other profiled retailers, New Look’s main users shop around the most 113
Next 115
Next has felt the mid-market squeeze, and has recorded a decline in its main user share 115
Next’s visitor and main user shares have fallen 115
Next’s fashion sub-brand Runway is yet to attract younger shoppers 115
Customer loyalty among all demographics has improved, apart from C1s 115
Store refurbishments have helped to improve drivers of loyalty 115
Visitors 116
Next’s visitor share has dropped across male and female visitors 116
Main users 118
Next’s main user share has dropped after holding steady in 2009 118
Conversion rates 120
Next’s male conversion rate has jumped by 6.5 percentage points, while the female rate has declined 120
Loyalty 122
Customer loyalty has risen across all demographics, bar one 122
Competitors 126
Shopping ar

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Aarkstore Enterprise -UK Consumer :Alliance Boots – Personal Care-Aarkstore Enterprise Market Research

admin    Web Marketing     Aarkstore, alliance, Boots, CareAarkstore, consumer, Enterprise, Market, personal, Research

Aarkstore Enterprise -UK Consumer :Alliance Boots – Personal Care-Aarkstore Enterprise Market Research

UK Consumer Insight 2010:Alliance Boots – Personal Care

Introduction

UK Consumer Insights 2010 are based around individual retailers and provide a highly detailed, data-rich overview of a retailer’s customers, drawing on a nationwide survey of 6,000 shoppers each year.

Reasons to Purchase

*New analysis, unique to these reports shows details about non-converting visitors including where they main shop and who they are.

*Analysis by non-standard demographics is also presented to give a comprehensive picture of a retailer’s customers.

*Key demographics include among others, sex, age, social class, television region, marital status, housing tenure, working status and ACORN group.

Table of Contents :
At a glance summary 6
Alliance Boots Personal Care 6
Share of Shoppers 7
Alliance Boots share of shopper by demographics 9
Alliance Boots share of shoppers by television region 11
Alliance Boots share of shoppers by household characteristics 13
Alliance Boots share of shoppers by other characteristics and ACORN classification 17
Conversion and non-conversion 20
Alliance Boots conversion of visitors to main users by demographics and region 21
Alliance Boots conversion of visitors to main users by household characteristics 23
Non-converting customers 25
Profile of shoppers 29
Alliance Boots profile of shoppers by television region 31
Alliance Boots profile of shoppers by household characteristics 33
Alliance Boots profile of shoppers by other characteristics and ACORN classification 36
Loyalty 38
Alliance Boots loyalty of main users by demographics and region 40
Alliance Boots loyalty of main users by household characteristics 41
Alliance Boots basic drivers of loyalty and disloyalty 43
Alliance Boots detailed drivers of loyalty 44
Competition 46
Cross sector competitor dynamics 47
Methodology 49
Basic methodology 49
The selection of parliamentary constituencies 50
The selection of enumeration districts 51
The selection of respondents 51
Post survey weighting 52

TABLE OF FIGURES
Figure 1: Alliance Boots visitor share 2006 – 2010 7
Figure 2: Profile of personal care shoppers % – by gender 2006-2010 8
Figure 3: Alliance Boots visitor share by demographic group 2010 9
Figure 4: Alliance Boots main user share by demographic group 2010 10
Figure 5: Alliance Boots visitor share by television region 2010 11
Figure 6: Alliance Boots main user share by television region 2010 12
Figure 7: Alliance Boots visitor and main user share by household tenure 2010 13
Figure 8: Alliance Boots visitor and main user share by number of people in household 2010 14
Figure 9: Alliance Boots visitor and main user share by children in household 2010 15
Figure 10: Alliance Boots visitor and main user share by number of cars in household 2010 16
Figure 11: Alliance Boots visitor and main user share by working status 2010 18
Figure 12: Alliance Boots visitor and main user share by marital status 2010 19
Figure 13: Alliance Boots conversion rates 2006 – 2010 20
Figure 14: Alliance Boots conversion rates by demographic group 2006 – 2010 21
Figure 15: Alliance Boots conversion rates by region 2006 – 2010 22
Figure 16: Alliance Boots conversion rates by household tenure 2006 – 2010 23
Figure 17: Alliance Boots conversion rates by number of people in household 2006 – 2010 24
Figure 18: Alliance Boots conversion rates by children in household 2006 – 2010 24
Figure 19: Alliance Boots conversion rates by number of cars in household 2006 – 2010 25
Figure 20: Alliance Boots non-conversion rates 2006 – 2010 25
Figure 21: Alliance Boots non-conversion rates by demographic group 2010 27
Figure 22: Demographic profile of non-converting Alliance Boots visitors 2010 27
Figure 23: Regional profile of non-converting Alliance Boots visitors 2010 28
Figure 24: Alliance Boots visitor profile by demographic group 2010 29
Figure 25: Alliance Boots main user profile by demographic group 2010 30
Figure 26: Alliance Boots visitor profile by region 2010 31
Figure 27: Alliance Boots main user profile by region 2010 32
Figure 28: Alliance Boots visitor and main user profile by household tenure 2010 33
Figure 29: Alliance Boots visitor and main user profile by number of people in household 2010 34
Figure 30: Alliance Boots visitor and main user profile by children in household 2010 34
Figure 31: Alliance Boots visitor and main user profile by number of cars in household 2010 35
Figure 32: Alliance Boots visitor and main user profile by working status 2010 37
Figure 33: Alliance Boots visitor and main user profile by marital status 2010 37
Figure 34: Alliance Boots loyalty 2006 – 2010 38
Figure 35: Alliance Boots disloyalty 2010 39
Figure 36: Alliance Boots loyalty by demographics 2010 40
Figure 37: Alliance Boots loyalty by region 2010 40
Figure 38: Alliance Boots loyalty by household tenure 2010 41
Figure 39: Alliance Boots loyalty by number of people in household 2010 41
Figure 40: Alliance Boots loyalty by children in household 2010 42
Figure 41: Alliance Boots loyalty by number of cars in household 2010 42
Figure 42: Alliance Boots – other personal care stores used 2010 46
Figure 43: Preference stores 2010 47
Figure 44: Sectors shopped 2010 48

TABLE OF TABLES
Table 1: Key performance indicators for Alliance Boots in personal care 6
Table 2: Alliance Boots change in visitor share (%) 2006 – 2010 7
Table 3: Alliance Boots change in main user share (%) 2006 – 2010 8
Table 4: Key performance indicators for Alliance Boots in personal care 17
Table 5: Alliance Boots change in conversion rates (%) 2006 – 2010 20
Table 6: Alliance Boots change in non-conversion rates (%) 2006 – 2010 26
Table 7: Main stores non-converters use instead of Alliance Boots 2010 26
Table 8: Alliance Boots visitor and main user profile by ACORN classification 2010 36
Table 9: Alliance Boots changes in loyalty 2006– 2010 38
Table 10: Alliance Boots changes in disloyalty 2006– 2010 39
Table 11: Alliance Boots drivers of loyalty (%) 2006 – 2010 43
Table 12: Alliance Boots drivers of disloyalty (%) 2006 – 2010 43
Table 13: Alliance Boots detailed drivers of loyalty 2010 44
Table 14: Cross sector matrix shopping 2010 47
Table 15: Other retailers used 2010 48
Table 16: Sample sizes by sector 2010 50

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Target: Corporate Analysis —-Aarkstore Enterprise

admin    Web Marketing     Aarkstore, Analysis, Corporate, Enterprise, Target

Target: Corporate Analysis —-Aarkstore Enterprise

This company profile is a premium company information product offering an unmatched depth and breadth of content. It analyzes the strategic positioning of the company – how the company has evolved and how it has been performing over the years.

Sectional Highlights

— Structure of the organization, partnerships, mergers & acquisitions and recent developments have been examined
— Business segments of the company have been explored alongwith analysis of key products and services
— SWOT Analysis highlights the weaknesses of the company and the threats to which it is exposed; the strengths of the company and the way the company has positioned itself to take advantage of the opportunities
— Business and marketing strategies boosting earnings, brand value and competitive edge have been discussed
— Key financial indicators have been analyzed
— Competitive positioning of the company has been evaluated in terms of sales, profitability and stock performance, as compared to its competitors

Key Benefits

— Provides input for strategic business planning
— Targets business opportunities & risks
— Exploits competitive intelligence

Target Audience

— Investment Managers
— Venture Capitalists
— Management Consultants
— Research Companies
— Other Industry Professionals

Table of Contents :  
1. Company Backgrounder

1.1 Corporate Overview
1.2 Key Facts
1.3 Corporate Timeline

Aarkstore Enterprise specialize in providing online market business information on market research reports, books, magazines, conference booking at competitive prices, and strive to provide excellent and innovative service to our customers. We are built on the premise that reading is valuable, capable of stirring emotions and firing the imagination. Whether you’re looking for new product trends or competitive analysis of a new or existing market, Aarkstore Enterprise has the best resource offerings and the expertise to make sure you get the right product every time.

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From:Aarkstore Enterprise
Contact: Neel
Email: press@aarkstore.com
URL: www.aarkstore.com

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How Britain Shops: Homewares 2010 -Aarkstore Enterprise Market Research

admin    Web Marketing     2010, Aarkstore, Britain, Enterprise, Homewares, Market, Research, Shops

How Britain Shops: Homewares 2010 -Aarkstore Enterprise Market Research

How Britain Shops: Homewares 2010

Table of Contents : 
Overview 1
Introduction 1
Summary 1
Executive Summary 3
Key findings 3
Retailer highlights 4
Profile of Sector Shoppers 19
There has been a reduction in the number of younger homewares shoppers 19
Penetration of homewares shoppers 24
The bias toward AB and female shoppers persist 24
Retailer Usage 26
Asda/George and Tesco have extended their lead over Argos 26
Main user share by region 31
Asda/George is the leading homewares retailer 31
Conversion Rates 32
Conversion rates have declined for a second year 32
Shopping Around 35
IKEA users shop around most 35
Loyalty 38
There has been a steep rise in loyalty for a second year 38
Drivers of loyalty/disloyalty 42
Range and price increase in importance 42
Argos 50
Argos has lost shoppers, but customer loyalty has improved 50
Visitors 51
Main users 53
Conversion rates 55
Loyalty 57
Competitors 61
Asda/George 63
Asda/George has strengthened its market leadership 63
Visitors 64
Main users 66
Conversion rates 68
Loyalty 70
Competitors 74
Debenhams 76
Debenhams is attracting new shoppers, but challenges remain 76
Visitors 77
Main users 79
Conversion rates 81
Loyalty 83
Competitors 87
Dunelm Mill 89
Despite a rising shopper base, Dunelm Mill has failed to keep pace with its rivals 89
Visitors 90
Main users 92
Conversion rates 94
Loyalty 96
Competitors 100
IKEA 102
IKEA has seen an increase in both shopper numbers and loyalty 102
Visitors 103
Main users 105
Conversion rates 107
Loyalty 109
Competitors 113
John Lewis 115
Shopper numbers at John Lewis have dropped again, but loyalty remains unshakeable 115
Visitors 116
Main users 118
Conversion rates 120
Loyalty 122
Competitors 126
Marks & Spencer 128
Marks & Spencer’s steady progress has continued in 2010 128
Visitors 129
Main users 131
Conversion rates 133
Loyalty 135
Competitors 139
Tesco 141
Customer loyalty remains weak, but shopper numbers are rising 141
Visitors 142
Main users 144
Conversion rates 146
Loyalty 148
Competitors 152
Wilkinson 154
Wilkinson has experienced an increase in shopper numbers as its appeal broadens 154
Visitors 155
Main users 157
Conversion rates 159
Loyalty 161
Competitors 165
Methodology 167
Basic methodology 167
The selection of parliamentary constituencies 168
The selection of enumeration districts 169
The selection of respondents 169
Post-survey weighting 170

TABLE OF FIGURES
Figure 1: UK homewares shoppers (%), 2006–2010 19
Figure 2: Profile of homewares shoppers (%), by gender, 2006–2010 21
Figure 3: Profile of homewares shoppers (%), by age bracket, 2006–2010 22
Figure 4: Profile of homewares shoppers (%), by socioeconomic class, 2006–2010 23
Figure 5: Percentage of consumers who shop for homewares, by demographics, 2010 24
Figure 6: Percentage of consumers who shop for homewares, by TV region, 2010 25
Figure 7: Concentration of main user share of top five retailers in 2008 28
Figure 8: Concentration of main user share of top five retailers in 2009 29
Figure 9: Concentration of main user share of top five retailers in 2010 30
Figure 10: Average rate of conversion from visitor to main user (%), 2006–2010 32
Figure 11: Rate of conversion from visitors to main users (%), by retailer, 2010 34
Figure 12: Average number of other stores used, by retailer, 2010 35
Figure 13: Average number of other stores used, 2006–2010 37
Figure 14: Percentage of homewares shoppers that are loyal to their main store, 2006–2010 38
Figure 15: Percentage of homewares shoppers that are loyal to their main store, by demographic group, 2010 38
Figure 16: Percentage of homewares shoppers that are loyal to their main store, by retailer, 2010 40
Figure 17: Percentage point change in loyalty rates since last year, by retailer, 2010 41
Figure 18: Percentage of loyal main users identifying drivers of loyalty, 2006–2010 42
Figure 19: Visitor share, 2006–2010 51
Figure 20: Visitor share, by demographic group, 2010 51
Figure 21: Main user share, 2006–2010 53
Figure 22: Main user share, by demographic group, 2010 54
Figure 23: Conversion rates, 2006–2010 55
Figure 24: Conversion rates, by demographic group, 2010 56
Figure 25: Loyalty, 2006–2010 57
Figure 26: Loyalty, by demographics, 2010 58
Figure 27: Preference stores, 2010 60
Figure 28: Shopping around, 2010 61
Figure 29: Visitor share, 2006–2010 64
Figure 30: Visitor share, by demographic group, 2010 65
Figure 31: Main user share, 2006–2010 66
Figure 32: Main user share, by demographic group, 2010 67
Figure 33: Conversion rates, 2006–2010 68
Figure 34: Conversion rates, by demographic group, 2010 69
Figure 35: Loyalty, 2006–2010 70
Figure 36: Loyalty, by demographics, 2010 71
Figure 37: Preference stores, 2010 73
Figure 38: Shopping around, 2010 74
Figure 39: Visitor share, 2006–2010 77
Figure 40: Visitor share, by demographic group, 2010 78
Figure 41: Main user share, 2006–2010 79
Figure 42: Main user share, by demographic group, 2010 80
Figure 43: Conversion rates, 2006–2010 81
Figure 44: Conversion rates, by demographic group, 2010 82
Figure 45: Loyalty, 2006–2010 83
Figure 46: Loyalty, by demographics, 2010 84
Figure 47: Preference stores, 2010 86
Figure 48: Shopping around, 2010 87
Figure 49: Visitor share, 2006–2010 90
Figure 50: Visitor share, by demographic group, 2010 91
Figure 51: Main user share, 2006–2010 92
Figure 52: Main user share, by demographic group, 2010 93
Figure 53: Conversion rates, 2006–2010 94
Figure 54: Conversion rates, by demographic group, 2010 95
Figure 55: Loyalty, 2006–2010 96
Figure 56: Loyalty, by demographics, 2010 97
Figure 57: Preference stores, 2010 99
Figure 58: Shopping around, 2010 100
Figure 59: Visitor share, 2006–2010 103
Figure 60: Visitor share, by demographic group, 2010 104
Figure 61: Main user share, 2006–2010 105
Figure 62: Main user share, by demographic group, 2010 106
Figure 63: Conversion rates, 2006–2010 107
Figure 64: Conversion rates, by demographic group, 2010 108
Figure 65: Loyalty, 2006–2010 109
Figure 66: Loyalty, by demographics, 2010 110
Figure 67: Preference stores, 2010 112
Figure 68: Shopping around, 2010 113
Figure 69: Visitor share, 2006–2010 116
Figure 70: Visitor share, by demographic group, 2010 117
Figure 71: Main user share, 2006–2010 118
Figure 72: Main user share, by demographic group, 2010 119
Figure 73: Conversion rates, 2006–2010 120
Figure 74: Conversion rates, by demographic group, 2010 121
Figure 75: Loyalty, 2006–2010 122
Figure 76: Loyalty, by demographics, 2010 123
Figure 77: Preference stores, 2010 125
Figure 78: Shopping around, 2010 126
Figure 79: Visitor share, 2006–2010 129
Figure 80: Visitor share, by demographic group, 2010 130
Figure 81: Main user share, 2006–2010 131
Figure 82: Main user share, by demographic group, 2010 132
Figure 83: Conversion rates, 2006–2010 133
Figure 84: Conversion rates, by demographic group, 2010 134
Figure 85: Loyalty, 2006–2010 135
Figure 86: Loyalty, by demographics, 2010 136
Figure 87: Preference stores, 2010 138
Figure 88: Shopping around, 2010 139
Figure 89: Visitor share, 2006–2010 142
Figure 90: Visitor share, by demographic group, 2010 143
Figure 91: Main user share, 2006–2010 144
Figure 92: Main user share, by demographic group, 2010 145
Figure 93: Conversion rates, 2006–2010 146
Figure 94: Conversion rates, by demographic group, 2010 147
Figure 95: Loyalty, 2006–2010 148
Figure 96: Loyalty, by demographics, 2010 149
Figure 97: Preference stores, 2010 151
Figure 98: Shopping around, 2010 152
Figure 99: Visitor sh

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