Keyword Analysis Research – Best Keyword Research Tools

Keyword Analysis Research – Best Keyword Research Tools

The Internet has become a money-making tool for many people nowadays. On the Internet, you can launch websites that offer certain products and services, or simply maintain web logs (more popularly known today as blogs) and earn income by generating traffic.

It sounds easy – this whole traffic business – but in reality, it requires more work, time and effort than you think.

There are many tips circulating the Internet on how you can attract more visitors to your site. One of the most effective methods of getting targeted visitors to your website is through keyword analysis research.

Keyword analysis research simply means determining the keywords internet users can use to get to your website via the search engines. For example, if your website is on dog training, then naturally you want your visitors to find your website through keywords such as dog training, obedience training, potty training etc.

Keyword research also allows you to determine the level of competition you face. More popular keywords such as dog training can require considerably more effort to be in the top 3 of the search engines. However, keywords such as how to house train a dog may only require a couple of one way back links in order well in the search engines.

There are many free and paid keyword research tools available. The free tools include the google keyword external tool which is pretty good since it shows the average search volume in numbers now. If you are using google adwords, it is also a good keyword tool to get more keywords as well know the level of adwords competition for a given keyword.

There are other paid keyword research tools such as nichebot 2, SEO elite, keyword discovery, wordtracker and more. Most offer a trial period and I recommend you try them out to see which is the best keyword research tool for you.

Aarkstore Enterprise Analysis of Global Cruise 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

Keyword Popularity Analysis and Its Significance

Keyword Popularity Analysis and Its Significance

Why do we require a key word popularity analysis?

A search Engine Optimizer should always start of with his key word research before building his content and creating web page as this is a comprehensive internet strategy. It helps you to find out the most competitive key word and a popular key phrase in the market. Targeting the right key word is essential, as your content should make use of these key words to appear in the search page. If your web page consists of the key word that a user is looking for, it appears in the search engines and gets you quality traffic. The number of times the keyword phrase has been searched for on the meta-search engines, will be tracked easily by the word tracker. However, this count result need not truly represent all search engines equally, as it differs with Google, Yahoo and MSN.

It further helps you find out the number of searches in the recent past for a particular key word or a key phrase. Secondly, it helps find variations of the primary key word known as the secondary key words which can also be used. Thus it suggests you the alternatives of your popular key word. Finally, it helps in building relevant content with the help of relevant key words.

How is content written?

The actual page content should have a keyword density of about 3.5% and should weigh in at about minimum of 200 words –Out of this Primary KW should be repeated roughly around 4 times and the secondary kw around 3 times per page of 200 words. Similarly the no of KW would increase with the increase in the total no of words for a particular page. Plural, past tense, etc. are used by the major search engines as similar but not identical keywords. Thus, you will get much of the benefit of using them in your keyword densities without running the same risk of hitting densities that are too high. As an added bonus, you may just rank for these other keywords as well.

Any page content will have two sorts of Key words:

Primary Key Phrase: Eg. Los Angeles

Secondary Key Phrase: Eg. Visit Los Angeles, Los Angeles Holidays

Search Engine Optimizers do a key word analysis with the help of Overture Key word Research Tool or a word tracker to find out the top Key word. This tool gives the no of clicks found per word. They then take the top 7-8 Key word in the list and use it as targets for their site. They further categorise it into Primary and Secondary Key word.

CUSTOMER PROFILE & BEHAVIORAL ANALYSIS

CUSTOMER PROFILE & BEHAVIORAL ANALYSIS

CUSTOMER PROFILE & BEHAVIORAL ANALYSIS

A STUDY AT SPENCER’S DAILY

 

* K.Logeshwari

** V.Ramadevi

ABSTRACT

India is being seen as a potential goldmine for retail investors from over the world and latest research has rated India as the top destination for retailers for an attractive emerging retail market. India’s vast middle class and its almost untapped retail industry are key attractions for global retail giants wanting to enter newer markets. Even though India has well over 5 million retail outlets, the country sorely lacks anything that can resemble a retailing industry in the modern sense of the term. This scenario has led to a transition from unorganized retailing to organized retailing. There exists a severe competition among the organized retailers to attract the customers. The study reveals that the top five factors that are expected by the consumers are price, quality, shelf arrangements, brand choice and availability of the products. The variables brand choice, availability, discounts, packing facilities and customer care meet the satisfaction level of the consumers of Spencer’s Daily. The findings would enable the marketing strategists to frame suitable strategies enhance the share of Spencer’s Daily in the retailing industry.

 

 

 

 

 

 

——————————————–

* Lecturer, Department of management studies and Research, Karpagam University  , Coimbatore – 641021 ,Tamilnadu

* * Lecturer, Department of management studies and Research, Karpagam University  , Coimbatore – 641021, Tamilnadu

 

 

 

 

INTRODUCTION

 

The India Retail Industry is the largest among all the industries, accounting for over 10 percent of the country’s GDP and around 8 percent of the employment. The Retail Industry in India has come forth as one of the most dynamic and fast paced industries with several players entering the market. But all of them have yet tasted success because of the heavy initial investments that are required to break even with its way towards becoming the next boom industry. Against this background the study was conducted to understand the profile and buying behavior of the consumers of Spencer’s daily.

 

 

Further the study attempts to identify the influence of demographic variables on the level of expectation and satisfaction and also highlights the gap between the expectation and satisfaction level. It also analyses the key factors that influence the shopping and aims to understand the level of expectation and satisfaction The study assumes the characteristic of descriptive research. A sample of hundred and twenty five customers in Coimbatore city is selected on convenience basis and data are collected through specially questionnaire.

 

            The total concept and idea of shopping has undergone an attention drawing change in terms of format and consumer buying behavior, ushering in a revolution in shopping in India. Modern retailing has entered into the Retail market in India as is observed in the form of bustling shopping centers, multi-storied malls and the huge complexes that offer shopping, entertainment and food all under one roof.

 

            A large young working population with median age of 24 years, nuclear families in urban areas, along with increasing working women population and emerging opportunities in the services sector are going to be the key factors in the growth of the organized sector in India.

 

            In India the vast middle class and its almost untapped retail industry are the key attractive forces for global retail giants wanting to enter into newer markets, which in turn will help the India Retail Industry to grow faster. Indian retail is expected to grow 25 per cent annually. Modern retail in India could be worth US$ 175-200 billion by 2016. The Food Retail Industry in India dominates the shopping basket. The Mobile phone Retail Industry in India is already a US$ 16.7 billion business, growing at over 20 per cent per year. The future of the India Retail Industry looks promising with the growing of the market, with the government policies becoming more favorable and the emerging technologies facilitating operations.

 

The study mainly deals with the customer’s perception towards Spencer’s daily which is a retail store. Retailing is one of the important factors in buying and selling of the products. There are different types of retail outlet through which the store can have very intimate relationship with transactions made on a face-to-face, first name basis. At the other end of the scale, goods may be retailed across the globe, with no physical contact being made at all. The different types of retail stores are as follows,

Department store Door-to-door retailing Distance retailing Chain retailing Party retailing Single independent non-franchised store Super market Van retailing Ware house club

 

Until the introduction of the self service stores, the customers were buying goods by simply asking the shopkeeper for their goods. There was a personal one-to-one relationship between the customer and the shop keeper.The first self service store was started in the year 1915 by Albert Gerard in Los Angeles. In these stores the groceries were stacked on shelves allowing the customers to walk around and browse, collecting their requirements by themselves and the shop keeper would only need to calculate the final bill at the end of the process and receive payment.

 

            This new type of shopping was more efficient and many customers preferred it. There has been a steady rise in the global amount of self service stores ever since it started. Even though India has well over 5 million retail outlets of all sizes and styles, the country sorely lacks anything that can resemble a retailing industry in the modern sense of the term. This presents international retailing specialists with the great opportunity. Retailing in India is thoroughly unorganized. There is no supply chain management perspective.

 

            According to a survey by AT Kearney, an overwhelming proportion of the Rs.400000 crore retail markets are unorganized. In fact, only a Rs.20000 crore segment of the market is organized. Just over 8 per cent of India’s population is engaged in retailing. The first challenge facing the organized retail industry in India is competition from the unorganized sector. Traditional retailing has established in India for some centuries. It is a low cost structure mostly own operated and it runs for generations.

 

            In contrast, players in the organized sector have big expenses to meet and yet have to keep prices to low enough to be able to compete with the traditional sector. High cost for the organized sector arises from higher labour cost, social security to employees, high quality and other comfort facilities.

 

            These drawbacks present opportunity to International and/or professionally managed Indian Corporations to pioneer a modern retailing industry in India and benefit from it.

Statement of the problem:

Indian retail sector is undergoing a buoyant transition from unorganized to organized retailing. This has given raise to severe competition among the organized retail sector. Understanding the customers in terms of their profile, buying behavior, expectation and satisfaction is important. This is identified as the problem area and the study has attempted to address the above said issues with respect to Spencer’s Daily.

 

Objectives:

n      To understand the Profile & Buying behavior of Spencer’s Daily consumers.

n      To analyze the key factors influencing shopping at Spencer’s Daily.

n      To understand the level of expectation and satisfaction of Spencer’s Daily consumers.

n      To study the influence of Demographic variables on expectation and satisfaction level.

n      To analyze the gap between the level of expectation and satisfaction

Scope of the study:

          This research gives a broad frame work of the Spencer’s daily customers and an analysis of their profile and buying behavior. This can be used as a guideline in the future business plans and making changes in the current activities. It gives an idea of the areas, which need emphasis and development.

            This study has been conducted in Coimbatore city covering all the areas falling within the Coimbatore zone with a sample size of 125 respondents. All classes of customers were met and their views were analyzed.

 

 Methodology:

a)      Type of Study:

                The type of the study is descriptive in nature since it describes the perception of the customer’s on Spencer’s daily.

 

b)      Sampling Design:

                  The sampling design consists of sampling method and sample size. The sampling method used is convenient method of sampling since the population is infinite. The sample size is 125 respondents from the customers of Spencer’s daily in the Coimbatore city.

       

 

 c) Method of Data Collection:

                  The method used to collect primary data is through questionnaires. Secondary data is collected through company manuals, records, magazines and web sites.

d) Tools for Analysis:

      The statistical tools used for analysis are     

Percentage analysis Chi – square analysis Mean score analysis Paired sample ‘t’ test

Percentage analysis:

                 Percentage analysis is used to describe the profile of respondents and buying behavior of the customers of Spencer’s Daily.

Chi –square analysis:

                  Chi – square analysis is used when two variables are to be compared. In this study, chi-square analysis is used to make a comparison between the level of expectation and satisfaction of customers of Spencer’s daily.

Mean score analysis:

In this study mean value is used to identify and rank the factors which influence the level of expectation and satisfaction of the consumers.

Paired sample‘t’ test:

This test is used to find out the significant difference between the two variables. In this study t-test is performed to find the gap between the level of expectation and satisfaction.

 

 

 

 

 

Mean score analysis on the level of expectation and satisfaction of the respondents on various factors

 Level of expectation `

Table 1 – The ranking of the Expectation factors

Factors

Percentage

MEANSCORE

 

 

SCORE

RANKS

VI

I

N

LI

NI

Price

44

81

0

0

0

1.26

1

Quality

54

71

0

0

0

1.52

2

Location

29

74

22

0

0

1.944

13

Brand image

41

72

12

0

0

1.768

9

Brand choice

54

70

0

1

0

1.584

4

Availability

49

76

0

0

0

1.608

5

Shelf arrangements

55

70

0

0

0

1.56

3

Crowd management

51

68

5

1

0

1.648

6

Assistance provided

26

71

28

0

0

2.016

14

Customer care

54

41

28

2

0

1.824

11

Ambience

41

71

8

0

0

1.696

7

Discounts

60

40

25

0

0

1.72

8

Billing

49

39

36

1

0

1.912

12

Packing facilities

50

48

27

0

0

1.816

10

Parking facilities

36

59

22

44

0

2.048

15

VI – Very much important,  I – Important,        N – Neutral, LI – Less Important,          

NI – Not Important

 

From the above table, it can be inferred that the price factor is felt very important by the respondents, the next factors as the order is quality, shelf arrangements, brand choice, availability, crowd management, ambience, discounts, brand image, packing facilities, customer care, billing ,location assistance provided and parking facilities.

 Level of satisfaction

Table 2 – The ranking of the Satisfaction factors

Factors

Percentage

MEANSCORE

 

 

SCORE

RANKS

VMS

S

N

D

VDS

Price

11

78

35

1

0

1.26

1

Quality

24

64

36

1

0

1.52

2

Location

25

59

32

9

0

1.944

13

Brand image

29

62

29

5

0

1.768

9

Brand choice

51

70

4

0

0

1.584

4

Availability

54

55

16

0

0

1.608

5

Shelf arrangements

32

71

22

0

0

1.56

3

Crowd management

28

77

19

1

0

1.648

6

Assistance provided

43

46

36

0

0

2.016

14

Customer care

45

54

26

0

0

1.824

11

Ambience

28

58

38

1

0

1.696

7

Discounts

57

48

20

0

0

1.72

8

Billing

28

63

33

1

0

1.912

12

Packing facilities

51

52

22

0

0

1.816

10

Parking facilities

7

16

30

39

33

2.048

15

VMS-Very much satisfied, S- Satisfied, N- Neutral, D- Dissatisfied, VDS- Very much satisfied.

From the above table, it can be inferred that Brand choice is the factor which is felt very much satisfied by the respondents, the next factors as the order is availability, discounts, packing facilities, customer care,  arrangements, assistance provided, crowd management, brand image, billing, ambience, quality, location, price and parking facilities.

 

Gap analysis between the Level of Expectation and Satisfaction

            To study the gap between expectation and satisfaction Paired Sample t- test is used. For this purpose the following hypothesis is formulated.

Ho: There is no significant gap between the expectation and satisfaction regarding the various factors.

The above hypothesis is subjected using paired sample t-test and the findings are summarized below.

Table3- Gap analysis: Expectation Vs Satisfaction

Factors

T value

P value

Significance

Price

15.561

.000

S

Quality

           7.761

.000

S

Location

2.988

.003

S

Brand image

3.345

.001

S

Brand choice

.649

.517

NS

Availability

           1.210

.229

NS

Shelf arrangements

5.182

.000

S

Crowd management

3.927

.000

S

Assistance provided

             .797

.427

S

Customer care

.248

.804

NS

Ambience

5.136

.000

S

Discounts

.171

.865

NS

Billing

1.518

.131

S

Packing facilities

.492

.624

NS

Parking facilities

11.654

.000

S

 

S-Significant; NS- Not significant;

From the above table it can be seen that there is significant gap between the level of expectation and satisfaction with respect to price, quality, location, brand image,

Shelf arrangements, crowd management, assistance provided, ambience, billing and parking facilities.

Further it can be seen that there is no significant gap between brand choices, availability,

Customer care, discounts and packing facilities.

Chart 1 – Expectation Vs Satisfaction

 

 

 Influence of demographic variables on Expectation.

            In order to understand the influence of demographic variables on the level of expectation, the chi-square test is performed at 5% significant level. The demographic variables selected are age, gender, education, occupation and income level the findings are presented below.

H0:  Age does not have a significant influence on the level of expectation. The above hypothesis is tested and the findings are presented below.

Table 4- Influence of the Age on the expectation factors

Factors

sss

Age  

 

X 2

P value

Price

.354

.950

Quality

            2.594

         .458

 

Location

3.313

.769

Brand image

           3.851

.697

Brand choice

4.088

.665

Availability

           5.243

.155

Shelf arrangements

1.167

.761

Crowd management

            7.774

.557

Assistance provided

           10.236

.115

   Customer care

 9.933

.356

Ambience

15.370

.018

Discounts

2.764

.838

Billing

8.352

.499

Packing facilities

13.306

.038

Parking facilities

8.352

.582

From above table it can be seen that the demographic variable age does not have a significant influence on the expectation factors.

H0:  Gender does not have a significant influence on the level of expectation. The above hypothesis is tested and the findings are presented below.

Table 5- Influence of the Gender on the expectation factors

Factors

Gender   

 

X 2

P value

Price

226.402

.000

Quality

225.332

.000

Location

225.971

.000

Brand image

226.107

.000

Brand choice

224.047

.000

Availability

223.241

.000

Shelf arrangements

225.614

.000

Crowd management

225.237

.000

Assistance provided

223.940

.000

Customer care

232.762

.000

Ambience

224.208

.000

Discounts

226.288

.000

Billing

226.606

.000

Packing facilities

229.536

.000

Parking facilities

224.512

.000

From above table it can be seen that the demographic variable gender has a significant influence on all the expectation factors.

 

 

 

 

H0:  Educational Qualification does not have a significant influence on the level of expectation. The above hypothesis is tested and the findings are presented below.

Table 6- Influence of the Educational qualification on the expectation factors

Factors

Educational Qualification    

 

X 2

P value

Price

40.328

.000

Quality

0.200

.655

Location

38.224

.000

Brand image

43.216

.000

Brand choice

62.608

.000

Availability

5.832

.016

Shelf arrangements

1.800

.180

Crowd management

107.032

.000

Assistance provided

31.024

.000

Customer care

47.320

.000

Ambience

48.304

.000

Discounts

14.800

.000

Billing

42.008

.020

Packing facilities

7.792

.000

Parking facilities

86.720

.000

 

From above table it can be seen that the demographic variable educational qualification has a significant influence on the expectation factors price, location, brand image, brand choice, crowd management, assistance provided, and customer care, and ambience, discounts, packing facilities and parking facilities.

 

 

H0: Occupation does not have a significant influence on the level of expectation. The above hypothesis is tested and the findings are presented below.

Table 7- Influence of the Occupation on the expectation factors

Factors

Occupation     

 

X 2

P value

Price

223.911

.000

Quality

237.582

.000

Location

232.485

.000

Brand image

237.168

.000

Brand choice

229.844

.000

Availability

232.374

.000

Shelf arrangements

233.561

.000

Crowd management

242.965

.000

Assistance provided

254.669

.000

Customer care

237.965

.000

Ambience

250.236

.000

Discounts

242.312

.000

Billing

233.348

.000

Packing facilities

242.245

.000

Parking facilities

242.148

.000

From above table it can be seen that the demographic variable occupation has a significant influence on all the expectation factors.

 

 

 

H0:  Income does not have a significant influence on the level of expectation. The above hypothesis is tested and the findings are presented below.

Table 8 – Influence of the Monthly income on the expectation factors

Factors

Monthly income

 

X 2

P value

Price

2.619

.454

Quality

4.042

.257

Location

8.797

.185

Brand image

2.651

.851

Brand choice

1.745

.942

Availability

1.290

.732

Shelf arrangements

1.651

.648

Crowd management

22.573

.007

Assistance provided

5.786

.448

Customer care

6.488

.690

Ambience

2.428

.876

Discounts

5.806

.445

Billing

8.839

.452

Packing facilities

6.228

.398

Parking facilities

17.873

.120

From above table it can be seen that the demographic variable monthly income does not significant influence on all the expectation factors.

 

 

 

 

 

 Influence of demographic variables on Satisfaction Factors.

            In order to understand the influence of demographic variables on the level of  satisfaction, the chi-square test is performed at 5% significant level the demographic variables selected are age, gender, education, occupation and income level the findings are presented below.

H0: Age does not have a significant influence on the level of satisfaction. The above hypothesis is tested and the findings are presented below.

Table 9- Influence of the Age on the satisfaction factors

Factors

sss

Age  

 

X 2

P value

Price

4.745

0.856

Quality

3.778

0.925

Location

7.208

0.615

Brand image

8.985

0.439

Brand choice

8.096

0.231

Availability

13.220

0.040

Shelf arrangements

5.474

0.485

Crowd management

7.428

0.593

Assistance provided

9.654

0.140

Customer care

2.935

0.817

Ambience

6.799

0.658

Discounts

4.960

0.549

Billing

7.004

0.637

Packing facilities

4.546

0.603

Parking facilities

11.314

0.502

From above table it can be seen that the demographic variable age does not have a significant influence on the level of satisfaction.

H0:  Gender does not have a significant influence on the satisfaction factors. The above hypothesis is tested and the findings are presented below.

Table 10- Influence of the Gender on the satisfaction factors

Factors

sss

Gender   

 

X 2

P value

Price

227.153

.000

Quality

224.524

.000

Location

226.014

.000

Brand image

233.537

.000

Brand choice

227.390

.000

Availability

228.355

.000

Shelf arrangements

223.513

.000

Crowd management

229.262

.000

Assistance provided

227.303

.000

Customer care

225.804

.000

Ambience

225.329

.000

Discounts

223.741

.000

Billing

222.393

.000

Packing facilities

224.870

.000

Parking facilities

240.827

.000

From above table it can be seen that the demographic variable gender has a significant influence on all the satisfaction factors.

 

 

 

 

H0:  Educational qualification does not have a significant influence on the satisfaction factors. The above hypothesis is tested and the findings are presented below.

Table 11 – Influence of the Educational qualification on the satisfaction factors

Factors

sss

Educational qualification    

 

X 2

P value

Price

238.949

.000

Quality

233.323

.000

Location

232.164

.000

Brand image

248.992

.000

Brand choice

224.988

.000

Availability

236.773

.000

Shelf arrangements

234.54

.000

Crowd management

232.934

.000

Assistance provided

233.699

.000

Customer care

240.444

.000

Ambience

239.449

.000

Discounts

231.286

.000

Billing

233.251

.000

Packing facilities

229.861

.000

Parking facilities

236.500

.000

From above table it can be seen that the demographic variable educational qualification has a significant influence on all the satisfaction factors.

 

 

 

 

H0:  Occupation does not have a significant influence on the satisfaction factors. The above hypothesis is tested and the findings are presented below.

Table 12- Influence of the Occupation on the satisfaction factors

Factors

sss

Occupation    

 

X 2

P value

Price

243.527

.000

Quality

247.872

.000

Location

237.861

.000

Brand image

254.694

.000

Brand choice

227.260

.000

Availability

248.990

.000

Shelf arrangements

234.207

.000

Crowd management

243.625

.000

Assistance provided

232.494

.000

Customer care

238.576

.000

Ambience

244.765

.000

Discounts

230.430

.000

Billing

241.540

.000

Packing facilities

234.957

.000

Parking facilities

248.510

.000

From above table it can be seen that the demographic variable occupation has a significant influence on all the satisfaction factors.

 

 

 

H0:  Monthly income does not have a significant influence on the satisfaction factors. The above hypothesis is tested and the findings are presented below.

Table 13 – Influence of the Monthly income on the satisfaction factors

Factors

sss

Monthly income    

 

X 2

P value

Price

27.867

.001

Quality

7.798

.555

Location

4.999

.834

Brand image

8.387

.496

Brand choice

10.054

.122

Availability

2.505

.868

Shelf arrangements

1.845

.933

Crowd management

9.253

.414

Assistance provided

6.443

.375

Customer care

7.987

.239

Ambience

6.093

.731

Discounts

5.209

.517

Billing

7.673

.567

Packing facilities

1.768

.940

Parking facilities

4.835

.963

From above table it can be seen that the demographic variable monthly income has a significant influence on the level of satisfaction regarding price. In all others the hypothesis is rejected.

 

 

 

 

 

 

 

CONCLUSION

 

            Profile of the respondents

Most of the respondents belong to the age group of 31 – 40, (i.e. 44%), 27.2% of the respondents are between the age group of 20-30,23.2% of the respondents belong to the age group of  above 40,and 5.6% of the respondents belong to the age category of less than 20. Majority (63.2%) of the respondents is female and 36.8 % are male. Majority (30.4%) of the respondents are home makers.27.2% of the respondents are employed,22.4% of the respondents belong to the professional category, the percentage of business people is 13.6% and students 6.4% Majorities (56.8%) of the respondents are graduates, 32.8% are post graduates, and 8.8% of the respondents are people of school level education. Majority (45.6%) of the respondents have income level between Rs.10001-20000,42.4% of the respondents have income level between Rs.20001-30000,4% of the respondents have an income level above Rs.30000 and 1.6% of the respondents have an income level below 10000.

Buying Behavior of the Consumers

Majority (69.6%) of the respondents have come to know Spencer’s through friends & relatives, 16% through advertisements, and 13.6% through magazines & newspapers. Majority (47.2%) of the respondents visit the store between 15 – 30 days, 35.2% of the respondents between 31 – 45 days, 9.6 % above 45 days and 8%, once in 15 days. Majority of the respondents (47.2%) spend between Rs.1001 – 3000, 35.2% of the respondents spend between Rs.3001 – 4000, 9.6% of the respondents spend above Rs.4000 and 8% of the respondents spend less than 1000. Majority (45.6%) of the respondents feel that Kannan departmental store is a close competitor of Spencer’s, 32% of them feel Nilgiris as the close competitor, and 20 % of them feel big bazaar as the close competitor. Majority (45.6%) of the respondents feel that Kannan departmental store is a close competitor of Spencer’s, 32% of them feel Nilgiris as the close competitor, and 20 % of them feel big bazaar as the close competitor.

 Level of expectation and satisfaction

The price factor is felt very important by the respondents, the next factors as the order is quality, shelf arrangements, brand choice, availability, crowd management, ambience, discounts, brand image, packing facilities, customer care, billing ,location assistance provided and parking facilities.  Brand choice is the factor which is felt very much satisfied by the respondents, followed by availability, discounts, packing facilities, customer care,  arrangements, assistance provided, crowd management, brand image, billing, ambience, quality, location, price and parking facilities.

 Level of Expectation Vs Satisfaction: Gap analysis

There is significant gap between the level of expectation and satisfaction with respect to price, quality, location, brand image, Shelf arrangements, crowd management, assistance provided, and ambience, billing and parking facilities.

            Further it can be seen that there is no significant gap between brand choices,

             availability, Customer care, discounts and packing facilities.

 

 Influence of demographic variables on the level of expectation

The variables gender, educational qualification, and occupation have a significant influence over the level of expectation and the variables age and monthly income does not have an influence on the level of expectation.

 

 

 Influence of demographic variables on the level of satisfaction

The variables gender, educational qualification, occupation have a significant influence over the level of satisfaction and the variables age and monthly income does not have an influence on the level of satisfaction.

 

 Recommendations

            The recommendations given to the organization are as follows

From the profile of the consumers, it can be seen that most of the respondents belong to 31-40 and earn an income of 10001-20000; Spencer’s daily can develop new marketing strategies to concentrate on the other age group and income group of people. Findings show that most of the respondents purchase groceries, and other products need to be properly positioned to attract more consumers. The important factors highlighted by the customers are the price, quality, shelf arrangements, brand choice, availability, crowd management, ambience, discounts, brand image, packing facilities, customer care, billing ,location, assistance provided and parking facilities, these aspects should be given priority to formulate the strategy. The factors of satisfaction such as parking facilities, price, location etc are felt less satisfied or neutral by the consumers, due care should be taken in upgrading those factors in order to retain the consumers. Efforts should be taken to reduce the gap between expectation and satisfaction level in case of factors like price, quality, location, brand image etc. This will lead

to arrest the customer attrition.

 

 

 

 

 

 

Conclusion

 

          The Retail market in India is highly competitive due to increase in the number of consumers belonging to middle and higher income class, change in consumption pattern and opening up of economy due to liberalization, privatization and globalization. Against this background the study is attempted to analyze the profile and buying behavior of the consumers and the factors influencing the level of expectation and satisfaction level of the consumers. The findings would enable the organization to frame suitable strategies and enhance the market share.

 

Books referred:

 

 

Kothari, C. R. (1990). ‘Research Methodology Methods and Techniques’, Wishawa Publishers; Second edition.

 

Philip Kotler and Kevin Lane Keller (2006). ‘Marketing Management’ , Prentice Hall of India Pvt Ltd, Twelfth edition

 

 Stephen Robbins, (1996). ‘ Organizational Behaviors’ Prentice Hall of India Pvt Ltd., Third edition

 

Dr. D. D. Sharma (2005). ‘Marketing Research’ , Sultan Chand & Sons, Third edition

Websites referred:

 

            www.google.com

            web.ebscohost.com

            www.spencersretail.com

            www.fibre2fashion.com

            www.rpgretail.com

            www.retailing.com

            www.market.com

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Target: Corporate Analysis —-Aarkstore Enterprise

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.

For more information please contact :

http://www.aarkstore.com/reports/Target-Corporate-Analysis-3029.html

http://blogs.aarkstore.com/

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

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Get the Master Key on Keyword Analysis!

Get the Master Key on Keyword Analysis!

Keywords are at the core of all search engine optimization tools. There are a number of expensive ways to do keyword analysis and get high-ranking keywords for your website. Open Phrases offers you an effective and comprehensive keyword tool with one very special difference- it’s completely free!

Got The Key?

The most effective way of optimizing a website is to make sure that it is keyword-enriched. Without the right kind of keywords, your site will not show up in the search engines and people wouldn’t know that it’s out there. This would mean that you’re not going to get any traffic at all. The search engines are the biggest way to drive traffic to your site- with the right kind of keywords; you can easily find yourself in the first few search engine pages.

By knowing what people will look for in the search engines, you can easily design your website to become one of the most popular ones on the internet. The trick is finding the right keywords. It’s even better if you can find free keywords that actually generate traffic. There are a number of keyword tools and keyword suggestion software out there but most of them cost a lot of money. Open Phrases offers you all the keyword analysis tools that you’ll ever need for absolutely no charge. The website gives you an extensive listing of the keywords which are most likely to be used in search engines like Google and Yahoo.

Stems And Synonyms

Open Phrases offers you a number of extra keyword analysis tools that you can’t ordinarily find unless you pay for them. The website uses a tactic known as Stemming- this means that it searches for variations of a keyword. For example, if you look up ‘run’, you’ll also get results for words like ‘runner’ and ‘running’. You also have the added advantage of being able to find synonyms. This means that if you look up the word ‘chocolate’, you’ll also get results for the words ‘candy’ and sweet’.

Open Phrases isn’t simply relegated to one language- right now, you can access feeds from search engines in English, Russian, German and Slovak. In terms of statistics, the Open Phrase database currently supports over 55.000.000 unique keywords and 800.000.000 queries. You can also take advantage of our MatchMode tool, which gives you the power to match your search queries using the ‘and’ as well as ‘or’ feature.

Using the keyword search service is very simple- just type in the keyword that you want to analyze. You can also request for synonyms, stemming, language, word count and length. Open Phrases allows you to conduct 1000 searches every day- if you’d like to do more, simply contact the website administration.

With so many services available, many of you might be wondering what the catch is. The truth is that there is no catch- the idea of this keyword suggestion service was started simply because there wasn’t one on the market that was a web service API and open to the public. If you’re still skeptical, why not try it out for yourself? The service is free and easy to use, so what do you have to lose? Try out one of the most exciting keyword analysis tools available today!

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Quality Keyword Analysis

Quality Keyword Analysis

Extracting good keywords can mean the difference between mediocre to poor results or Real Success to your online business. Keywords are what drive the search engines and are the Key to having people find your online business.

How are we supposed to find Great keywords?

Extracting good keywords can mean the difference between mediocre to poor results or Real Success to your online business. Keywords are what drive the search engines and are the Key to having people find your online business.

How are we supposed to find Great keywords?

What is a great keyword? (550 Words In Just The Article)

Well, Depends on your use of keywords but I am assuming that you want your site optimized for the search engines. Search engines such as Google, Yahoo and Microsoft Network (MSN); provide 90 to 95 % of the traffic to websites.

Commercial website owners want traffic to their sites for different reasons. Some want to sell a product or service right there on the spot. Others want to Pre-sell a product and then send the visitors to a sales page. Some website owners want traffic so the people will click on advertisements on their site and this will generate income for the site owner.

So, keywords are critical to success for the site owners. Keywords can be one word or a string of words, e.g. “books” and “book binding methods” are two keywords. One is a single word long the other has multiple words to it and represents the way most people type in search terms to find information.

Few people would type “books” into a search engine; the result would be overwhelming and very broad.

But someone might type in “book binding methods” because that could represent a real interest of theirs.

So, specific keywords are usually more valuable than broad keywords since the subject is more targeted to a particular niche audience.

Now, here is where we start to get to the basics of quality keyword analysis.

If you were to optimize your site using high traffic keywords you would probably be buried back in the search results. The high traffic keywords are very hard to get decent ranking with.

To get your site in the first 10 to 20 search results in the search engines you need to use less competitive keywords for your site topic.

Take “health insurance” as an example. That keyword probably costs advertisers big bucks to use and to have a website that ranks in the 1 to 20 range at the search engines is costly. Lots of people search using that keyword and the competition to get that traffic is extremely fierce.

So smaller websites, without deep pockets want to find keywords that are not as competitive but still draw a decent amount of traffic.

With “health insurance” you might want to try “health insurance for 40 year olds”. That is very specific and is probably not worth the big boys going after it so you could stand a good chance of ranking highly for that keyword!

I like to have a list of quality, high dollar, high traffic keywords to use on my websites and in my articles. My website has Google Adsense ads that return a good income when people click on the ads. Google will pay me, as a website publisher, a portion of the revenue of the ad if someone clicks an ad on my site.

I don’t worry about competition for the high traffic keywords because I drive traffic to my sites by submitting articles to article directories and not from search engine optimization.

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Target Market Analysis: How To Define Your Target Market And Sell More Products Easily

Target Market Analysis: How To Define Your Target Market And Sell More Products Easily

Target market analysis is one area of Internet marketing that is often overlooked or only briefly mentioned, but it is a vital part of setting up a marketing strategy. If it is done correctly, you will find the exact customer you need to market to and your sales will explode.

Here are some target market analysis questions to guide you in finding your ideal customer base. By narrowing down your market you will know what target market advertising to use and who you are really talking to.

1. Is your ideal customer female or male?

2. What type of job profile does your perfect customer fit into? Are they an executive dealing with a number of employees or a stay-at-home mother raising children?

3. Where does the ideal customer shop for this product? Do they look for it on the Internet, off-line or both?

4. Is this product or service going to be used as a gift or for the customers themselves?

5. What is the income level of the customer that would like this product?

6. Is this product or service needed for a one-time use or is it needed repeatedly?

7. What would be the income level of the perfect customer?

8. Is this something that is needed, or something that is wanted?

9. What age range are you targeting?

When you go through this list of questions, you can see for yourself where this is heading. You can make a mental image of the customer you are addressing and be better able to start a marketing campaign based on what you see.

Target Market Analysis: Case # 1

Let’s take for example men’s electric shavers. You’re going to start a new website about men’s electric shavers and point your customers to Amazon or eBay to do some shopping. At this point you can narrow down your target audience very easily.

Quite obviously, in this case, you are going to be talking to men. They will be of any age range (except children), they can be from any income level and they can have any job profile. It is something that is needed to keep a man groomed, and it is only something that he will need to purchase once in a while.

Since it is something that can be used as a gift, you may want to look at targeting women during the Christmas season, since many of them will be purchasing these shavers for their husbands at this time of the year. When Father’s Day comes around, you can market to wives and older children.

It doesn’t matter what the product or service is that you are offering. You can define your market very easily by using this list, and you can also use it to help brainstorm marketing ideas. This list is pure gold when you use it to narrow down your customer base and look for ideas.

You can see that you have a wide audience for this shaver product, and as long as you remember that you are targeting men, most of the year, you should be able to find buyers.

Target Market Analysis: Case # 2

Now let’s take a not so obvious product and break it down further.

If you take the example of weight loss, and want to sell a new diet pill, then you may have to do some investigation to narrow down your target audience.

The first thing you should do is find out whether more women than men take diet pills, or vice versa, or whether they both seem to take them equally. If you find out that one gender takes them much more than the other then you have narrowed your market down to 50% of the population. This is good.

To find out most of this information, all you need to do is look at forums. For the weight loss pill, you need to find forums where this actual pill is discussed. It is then just a matter of looking at the details of the posters. Is it men or women engaging in this topic?

You will find out a lot at forums. You may think that a diet pill is something that people would just want to help them lose weight, yet find out from the forum that there are people that feel that they desperately need this diet pill. You may find posters there that believe that if they don’t get their hands on this pill, they will never lose weight.

You can find out who your target market is and what they are thinking by reading posts at a forum and really listening to what is being said. Sometimes you can even find out their age, education levels and job positions by looking at their profiles.

You can really make a marketing explosion if you know who you are talking to and what they really want. Take some time to do some digging and find out more about the types of people that are buying your products.

In your pursuit of doing target market analysis, you can even start investigating some market survey sites to see if there have been studies on your product that show what kinds of people are buying it. You’ll be surprised at what has been surveyed and at times very surprised by the results as well.

Keyword Analysis- an Important Aspect in Search Engine Optimization

Keyword Analysis- an Important Aspect in Search Engine Optimization

With entrepreneurs switching over to online business because of global accessibility as well as time flexibility it is mandatory to optimize or update your website which is a platform to display the products & services of your business. Various search engine tools have come to the rescue of search engine optimizers by making their job of search engine optimization less tedious which otherwise used to be time consuming. Among the various search engine tools available keyword analysis is one of the most vital tools available keeping in view the importance of keywords in improving search engine ranking thus reaching the target market.

It could be availed free of cost & its use is inevitable for search engine optimization. Keyword analysis as the name refers is the analysis of the quantity as well as quality keywords within your content with the help of keyword analysis tool. Keyword analysis makes sure that a right blend of quality & quantity keywords are provided to your website. With the availability of many keyword analysis tool the job of webmaster have become simplified. Precious time & effort could be saved in other marketing techniques.

1. Importance of keyword analysis:

• Targeted keywords are significant keeping in mind the efficiency of search engine marketing campaign.
• To help avoid keyword stuffing & maintain proper keyword density in the content.
• Detailed keyword analysis is mandatory keeping in view the sites optimization thereby generating targeted traffic to your site.

2. Tips to keep in mind while doing keyword research and analysis:

• Do not start your keyword research & analysis with any predetermined idea or thought. It is advisable to start afresh.
• You can make use of the name of the state or city from which you are operating your business.
• By inputting keywords in the keyword research tool you could come to know about the number of users as well as certain new words which you might have left out.
• It would be beneficial to make a competitive analysis of the competitor’s keyword list which in turn would clarify the number of sites which link to them.
• An exploration of customer’s feedback might provide you with exciting words & phrases which could further be helpful.
• Prepare a final list of keywords from the list of keywords you have prepared.

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The Importance Of Proper Keyword Research And Analysis In Achieving Great Google Seo Results

The Importance Of Proper Keyword Research And Analysis In Achieving Great Google Seo Results

Most people take keyword research for granted before beginning search engine optimization. Keyword research speaks to the task of finding out what people are searching for and how it relates to your product, service or web site. This is the most important part of any search engine optimization strategy. Without keyword research you may end up with the best search engine optimized web site, and rank number 1 for a term that only gets 10 searches a month. Picking the right, gradual keyword strategy can provide you with short term results while building your website ranking for larger volume keywords.

Google provides a free keyword research tool that allows you to search what and how many people are searching for on their website, and with Google’s increasing dominance in the search business, knowing those numbers is increasingly more important. Simply search on Google for keyword tool and you will find it. They also offer suggested keywords that may help you in sorting what will work best to describe you product, idea or service. The right keyword is the basis on which the rest of your Google SEO strategy will be based. Without proper keyword research you might as well be optimizing blind folded.

If your site is new, start small and focused. The best results will come from selecting the right keyword to best describe your product while balancing the volume of that keyword to get you quick results. The basic rule of Google SEO is that in order to achieve top ranking quickly there are some factors to take into account, like the age of your website, and its current ranking. If you have any of the previous 2 items, you can try to pick keyword that has a volume similar to the best ranked keyword result you currently have for your site. So if you are ranked in the top 10 for a keyword that gets a monthly volume of 5,000 searches, then you can begin optimizing for similar volume keywords.

Otherwise, start small, pick a great keyword that best describes your site, but don’t reach too high. Start with volume keywords below 500 monthly searches. This may not seem like a lot but in a couple of months, once you’ve achieved your goal of top 10 Google results, you can change your strategy.

This guide should give you a good starting point to help with your Google SEO efforts. Keep an eye of the next guide, which will help expand on the topic of Search Engine Optimization.