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    1 Study On The Demand For Amrit Water Purifier| Group - 3

    STUDY ON THE DEMAND EXISTING IN THE RURAL

    MARKET FOR AMRIT WATER PURIFIER

    SUBMITTED TO: Dr. P. Sathyapriya

    BY GROUP - 3

    Vaishnavi P

    Ankur Verma

    Anubhav Gupta

    Ashraf Basarikatti

    Ashis Ranjan

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    EXECUTIVE SUMMARY___________________________

    The increase in the number of people becoming conscious of the risks of

    drinking contaminated water has led to the rapid rising demand for waterpurifiers. The Indian rural market with its vast size and demand potential offers

    great opportunities to the marketers. Even though the rural market is large in

    size and potential, marketers are not able to reap profits out of the opportunities

    in the rural market because of the obstacles they are facing in the rural areas.

    The problems like geographic spread and low population density and low

    purchasing power posed a great challenge to the marketers in taking the productto the rural market. Apart from this the vast display of buying behaviour in rural

    segment challenges the marketers in understanding the factors influencing the

    buying decision of the consumers. This study seeks to understand the influence

    of various factors in the buying decision of the rural consumers which would

    help to study on the demand for the product AMRIT water purifier of Eureka

    Forbes. This study is purely based on the primary data collected using

    questionnaire. The sample size is 50, taken from the village Anekal. The

    findings from the study indicate that monthly family income has greater

    influence on the buying decision of the rural consumers in Anekal. The

    marketing implications to increase the demand for the product is given based on

    the findings.

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    TABLE OF CONTENTS

    Serial

    Number CONTENTS Page Number

    1. Executive Summary 2

    2. Introduction 4

    3. Literature Review 5

    4. Research Problem 7

    5. Research Objective 8

    6. Hypothesis 8

    7. ResearchMethodology 9

    8. Data Analysis 9 - 17

    9. Findings 17

    10. Limitations 18

    11. Conclusion 18

    12. Appendix 19 - 21

    13. References 22

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    INTRODUCTION_____________________________

    Pure and safe drinking water has always been a necessity. In the past few years,

    Indian water purifier industry has witnessed an exponential growth of 22%

    CAGR. The water purifier industry sales grew dramatically during FY09 as

    compared to previous fiscals due to improving demand and expanding

    production capacity. The industry saw high growth of rate 17% during FY08

    due to the increasing awareness for safe drinking water. According to Research,

    Indian Water Purifier industry will continue its growth trajectory and is

    expected to witness a turnover growth of more than 22% CAGR during the period between FY11 and to FY14. The Indian market has tremendous

    potential which is more evident from the fact that global majors such as Philips

    and Hindustan Lever have stepped in and are looking to increase their share of

    the market. The three principal players today are Eureka Forbes, KENT RO and

    Ion Exchange (PRLog, 2010). [1]

    INDIAN RURAL MARKET:

    India lives in villages, close to 72 percent of Indian population lives in rural

    areas. In the country we have 6.36 lakh villages out of which only 13 percent

    have population above 2000. More than 50 percent of the sales FMCG and

    Durable companies come from the rural areas. The McKinsey report (2007) on

    the rise on consumer market in India predicts that in twenty years the rural

    Indian market will be larger than the total consumer markets in countries such

    as South Korea or Canada today, and almost four times the size of todays urban

    Indian market and estimated the size of the rural market at $577 Billion.

    According to NCAER 2002, the number of rural middle class households

    at 27.4 million is very close to their urban counterpart at 29.5 million. And

    between, 1981-2001 there has been tremendous improvement in the literacy

    levels, poverty and rural housing in the villages of the country. Rural literacy

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    levels have improved from 36 percent to 59 percent, the number of below

    poverty houses have declined from close to half to 46 percent and the numbers

    of well built houses have doubled from 22 percent to 41 percent. These figures

    provide us with a clear picture that rural India with the increase in agricultural

    income and improving standards is on the verge of becoming a large untapped

    market which marketers have been aspiring for a very long period of time. Thus

    the current status of rural markets makes it an attractive market for marketers

    (Aithal, Mukhopadhyay). [2]

    LITERATURE REVIEW____________________________

    Rural markets in India constitute a wide and untapped market for many products

    and services which are being marketed for the urban masses. The rural market

    provides vast potential as many new products have already made their entry into

    the rural consumer basket. In spite of its large size and high potential, many

    marketing firms are not able to avail the opportunities in rural market because of

    problems in selling the goods in rural areas (Rao, 2002). This posed manychallenges to the marketers; the first is posed by the geographic spread and low

    population density in the villages in the country. The second challenge is from

    the low purchasing power and limited disposable incomes in these parts of the

    country. But this has been changing in the last few decades. [3]

    The current scenario is that about 70% of Indias population lives in rural

    areas. Consumers in this segment have displayed vast differences in their

    purchase decisions and the product use. Understanding the consumer behaviour

    is vital while marketing the product in the rural segment. (Loya,). [4] In recent

    years, the rural consumers are discerning and the rural market is more vibrant.

    Considering the rate of growth in these markets, it will soon become more

    successful than the urban market. (Adi, Godrej)

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    The factors influencing the rural consumer behaviour are:

    1. socio-economic environment of the consumer2.

    education/literacy level

    3. occupation4. exposure to urban lifestyles and media5. involvement of others in the purchase decision6. marketers effort to reach out the rural markets (Rao, 2008)

    Socio-economic environment of the consumer influences the buying decision to

    a greater extent. The income level and the standard of living have a major role

    to play. Rural segments are ignored by few companies because of the low

    income level and the conservative attitude of the people in rural areas.

    Literacy level of the consumers in the rural market in turn explains the

    awareness of the consumers on health issues. Educated people tend to be more

    health conscious. Consumers with low-literacy level might want the product if

    proper awareness is given about water borne diseases and the importance of

    purified water.

    Consumers in rural market might be self-employed or employed in other firms.

    Consumers depending on monthly income will be more conservative. Their

    perceptions and the buying decisions might be influenced by the occupation

    factor.

    Rural consumers prefer to stay in the village rather visiting nearby towns except

    for markets. They may not have exposure to the urbanized life. This might

    influence their acceptance for a product. Also, the exposure to media influence

    on the perceptions and the buying decision of the rural consumers.

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    Involvement of others in the purchase decision is yet another factor in this

    regard. There has been a change in the recent years. In the past, the head of the

    family used to make the purchase decision all by himself. In contrast, the

    involvement of the other members of the family has been growing in recent

    years. An increase in literacy coupled with greater access to information has

    resulted in this development.

    The consumers in the rural segments are ignored by most of the companies

    because of the infrastructure and the cost of reaching out. It is marketers

    responsibility to find the selling practice which would make the consumers

    comfortable and get awareness about the product. The method of selling might

    influence the buying decision of the consumer. [5]

    RESEARCH PROBLEM____________________________

    In view of the above discussion, this study cites the problem whether Amrit

    water purifier of Eureka Forbes will be accepted by the rural consumers in

    Anekal. The rural consumers have been displaying vast buying behaviour. The

    factors influencing the buying decision in rural segments differ from place to

    place. This study attempts to study on the consumer behaviour in Anekal market

    where Eureka Forbes intends to penetrate.

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    RESEARCH OBJECTIVE__________________________

    The objective is to make a study on the demand for the product Amrit water

    purifier of Eureka Forbes in the rural market Anekal. In order to make a study

    on the demand for the product, the marketer should understand the factors

    influencing the buying behaviour of the rural consumers in Anekal. We consider

    the factors mentioned in the previous study on the consumer behaviour in the

    rural market and determine the factor which has most significant influence on

    the demand for the product in Anekal market.

    HYPOTHESIS_____________________________________

    The null hypothesis for the influencing factors considered:

    H1: there is no significant influence of the socio-economic factor on the demand

    for the product

    H2: there is no significant influence of the educational factor on the demand for

    the product

    H3: there is no significant influence of the occupation factor on the demand for

    the product

    H4: there is no significant influence of the exposure to urban lifestyles and

    media on the demand for the product

    H5: there is no significant influence of the involvement of others in the purchase

    decision on the demand for the product

    H6: there is no significant influence of the marketers effort to reach out the

    rural markets on the demand for the product

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    RESEARCH METHODOLOGY_____________________

    In order to understand the perceptions and the buying behaviour of the

    consumers in Anekal, a descriptive research has been carried out to describe the

    data and the characteristics about the observations, seeking better understanding

    about the buying behaviour of the rural consumers. This study is based upon the

    primary data collected from the sample population in Anekal.

    The population of this study is taken from Anekal, a rural area quite far from

    the city zone. The sample size is 50 using simple random sampling out of the

    whole population available in Anekal. The data was collected using

    questionnaire comprising of the consumers demographic profile and questions

    probing the factors influencing the buying behaviour will be developed as

    follows;

    What is your occupation? What is your income level? Do you think purifying water will avoid health issues to some extent? What method would you prefer to purify the water? How often you visit cities? Who makes the buying decision in your family? Have you heard about the product amrit water purifier? Would you like to prefer Amrit water purifier?

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    DATA ANALYSIS_________________________________

    In this study the dependent variable is the demand for the product in Anekal and

    the influencing factors are the independent variables. The influencing factors

    considered in this study might not have a significant relationship with the

    dependent variable because it varies from place to place.

    Correlation test will be conducted to verify if there exist a significantrelationship between the dependent and the independent variables.

    ANOVA will be conducted to validate and get the values for regressionmodel

    Regression analysis will be done to determine the coefficients ofcorrelation in order to understand to what extent each factor influences

    the dependent variable demand for the product.

    STATISTICAL REPRESENTATION OF MARKET SURVEY :

    CORRELATION:

    Educa

    tion

    level

    Occ

    upati

    on

    Mont

    hly

    Inco

    me

    Buyin

    g

    Decisi

    on

    Visit

    to

    city

    Exposu

    re to

    media

    Type

    of

    selling

    Dem

    and

    Educationlevel

    PearsonCorrela

    tion

    1 -.175

    .372

    **

    .237 .296

    *

    .224 -.146 -.156

    Sig. (2-

    tailed)

    .224 .008 .098 .037 .118 .313 .279

    N 50 50 50 50 50 50 50 50

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    Occupation Pearson

    Correla

    tion

    -.175 1 -.159 -.160 .073 -.131 .328* .088

    Sig. (2-

    tailed)

    .224 .269 .268 .615 .366 .020 .545

    N 50 50 50 50 50 50 50 50

    Monthly

    Income

    Pearson

    Correla

    tion

    .372** -

    .159

    1 .297* .382** .259 -.114 -

    .598*

    *

    Sig. (2-

    tailed)

    .008 .269 .036 .006 .069 .431 .000

    N 50 50 50 50 50 50 50 50

    Buying

    Decision

    Pearson

    Correla

    tion

    .237 -

    .160

    .297* 1 .276 .288* .041 -

    .298*

    Sig. (2-

    tailed)

    .098 .268 .036 .052 .043 .776 .036

    N 50 50 50 50 50 50 50 50

    Visit to city Pearson

    Correla

    tion

    .296* .073 .382** .276 1 .209 .072 -.252

    Sig. (2-

    tailed)

    .037 .615 .006 .052 .146 .618 .077

    N 50 50 50 50 50 50 50 50

    Exposure to

    media

    Pearson

    Correla

    tion

    .224 -

    .131

    .259 .288* .209 1 .182 -.181

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    Sig. (2-

    tailed)

    .118 .366 .069 .043 .146 .205 .210

    N 50 50 50 50 50 50 50 50

    Type of selling Pearson

    Correla

    tion

    -.146 .328* -.114 .041 .072 .182 1 .020

    Sig. (2-

    tailed)

    .313 .020 .431 .776 .618 .205 .892

    N 50 50 50 50 50 50 50 50

    Demand Pearson

    Correla

    tion

    -.156 .088 -

    .598**

    -.298* -.252 -.181 .020 1

    Sig. (2-

    tailed)

    .279 .545 .000 .036 .077 .210 .892

    N 50 50 50 50 50 50 50 50

    **. Correlation is significant at the 0.01 level (2-tailed).

    *. Correlation is significant at the 0.05 level (2-tailed).

    FINDINGS:

    There is a significant relationship between the following variables.

    Educational level and Monthly Income.

    Educational level and Visit to city. Occupation and Type of selling. Monthly Income and Buying Decision. Monthly Income and Visit to city. Monthly Income and Demand. Buying Decision and Exposure to media.

    Buying Decision and Demand.

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    REGRESSION:

    Variables Entered/Removed

    Model

    Variables

    Entered

    Variable

    s

    Remove

    d

    Metho

    d

    1 Type of

    selling,

    Buying

    Decision,

    Visit to city,

    Exposure to

    media,

    Education

    level,

    Occupation,

    Monthly

    Income

    . Enter

    a. All requested variables entered.

    b. Dependent Variable: Demand

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    FINDINGS:

    R2 value shows that the independent variables are related to an extent of 38.3%.

    Model Summary

    Mod

    el R

    R

    Square

    Adjusted R

    Square

    Std. Error

    of the

    Estimate

    1 .619a .383 .280 .519

    a. Predictors: (Constant), Type of selling, Buying

    Decision, Visit to city, Exposure to media,

    Education level, Occupation, Monthly Income

    ANOVAb

    Model

    Sum of

    Squares Df

    Mean

    Square F Sig.

    1 Regressio

    n

    7.010 7 1.001 3.719 .003a

    Residual 11.310 42 .269

    Total 18.320 49

    a. Predictors: (Constant), Type of selling, Buying Decision, Visit to

    city, Exposure to media, Education level, Occupation, Monthly

    Income

    b. Dependent Variable: Demand

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    Coefficientsa

    Model

    Unstandardized

    Coefficients

    Standardize

    d

    Coefficient

    s

    t Sig.B Std. Error Beta

    1 (Constant) 2.418 .406 5.952 .000

    Education

    level

    .083 .116 .097 .710 .481

    Occupation -.002 .117 -.003 -.019 .985

    Monthly

    Income

    -.453 .109 -.590 -4.140 .000

    Buying

    Decision

    -.090 .086 -.140 -1.047 .301

    Visit to city -.012 .108 -.015 -.106 .916

    Exposure to

    media

    -.001 .119 -.002 -.012 .991

    Type of selling -.033 .173 -.025 -.189 .851

    a. Dependent Variable: Demand

    **. Coefficient is significant at the 0.01 level .

    *. Coefficient is significant at the 0.05 level .

    FINDINGS:

    There is a significant impact of Monthly Income on Demand of the product with

    less than 1% significant level.

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    INDEPENDENT VARAIBLE :1. Educational Level2. Occupation.3. Monthly Income.4. Buying Decision5. Visit to City.6. Exposure to Media.7. Type of Selling.

    DEPENDENT VARIABLEDemand for the product. HYPOTHESIS :

    H0: There is no significant influence of Educational level,

    Occupation, Monthly Income, Buying Decision, Visit to City,

    Exposure to Media and Type of Selling on Demand of the product.

    REGRESSION LINE:

    Y = ^

    + ^x1+ ^x2+ ^x3+ ^x4+ ^x5+ ^x6+ ^x7

    Where,

    Y= 2.418 - 0.453 x (Monthly Income)

    ^

    = constant value of the dependent variable.

    ^= Beta value of the variables.

    X1-X7 = independent variables.

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    ANOVA TEST :

    Since the Significance value is less than 1%(0.01) we reject the Null

    hypothesis (H0) , which states that there is a significance influence of

    Educational level, Occupation, Monthly Income, Buying Decision, Visit

    to City, Exposure to Media and Type of Selling on Demand of the

    product.

    RESULT :

    Monthly Income has a significance level of impact on Demand for the

    product with less than 1% (0.01) level of significant, but the Beta value of

    Monthly Income is negative which means that if Monthly Income

    increases the Demand of the product will decrease.

    FINDINGS________________________________________

    The study on the demand for Amrit water purifier gives a brief idea about

    the market scenario of the rural market Anekal. The study shows how different

    factors influence the buying behaviour of the consumers in the rural market.

    These factors change with demographics and geographies which show huge

    diversity of buying behaviour in rural and urban market. The finding which wegot from the study is that the Monthly Income has a great influence on the

    demand of the product, as the income level rises the demand of the product goes

    down and vice versa.

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    LIMITATIONS____________________________________

    Although all the efforts have been made to make the results as accurate as

    possible, yet the survey suffers from some limitations. Following are some ofthe limitations of the study. The purpose of mentioning these limitations is not

    to dilute or decrease the quality of results rather to enable the reader to judge the

    validity of the result regarding the study. Following are some limitation of the

    study.

    Sample size is limited due to cost constraint.Geographical area is limited to Anekal area Bangalore.Most of the users don't know about water purifier so they might

    assume the answers.

    Many respondents were not interested to give the required time to fillthe questionnaire.

    CONCLUSION____________________________________

    This study revealed the insights about the factors influencing the buying

    behaviour of the rural consumers. The findings are made by using the responses

    provided by 50 rural consumers. This study suggests the marketers to focus on

    the promotional activities since the result of the test indicates that the monthly

    family income factor influences the buying decision to a greater extent

    compared to the other factors.

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    APPENDIX_______________________________________

    The questionnaire used for collecting the primary data.

    CUSTOMER QUESTIONNAIRE

    Dear respondent,

    We, students of Alliance University would like you to fill up this

    questionnaire which would help us to make study on the demand for the

    product- AMRIT water purifier of EUREKA FORBES.

    We request you to fill in the questionnaire with at most accuracy. The

    information provided by you will be used only for the academic purpose.

    1. Name :_________________________________2. Gender : a) Male b) Female3. Education :

    a) Nil b) High school c) Graduated) Post graduate

    4. occupation : a) Business b) Employee c) Others__________5. Monthly family Income :

    a) Upto Rs 10,000 b) Rs 10,000- Rs 25,000

    c) Above Rs 25,0006. How many members are there in your family?

    a) 2 b) 2-4 c) >47. Who makes the buying decision in your family?

    a) Man b) woman c) consult with everyone

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    8. How often you visit city in a month?a) 1-2 b) 2-5 c) more than 5 times

    9. What level of importance do you give for purified water in your daily life?Very high High Medium Low Very low

    10.Do you agree that purifying water will help in avoiding health issues tosome extent?

    a) Yes b) No11.How do you purify your water?

    a) Cloth b) Boil c)Water purifiers d) Others_______12.Do you think water purifier is important?

    a) Yes b) No13.What do you expect in a water purifier?

    a) Ease of use b) Durability c) Qualityd) Others ____________

    14.What kind of water purifier would you prefer?a) Electrical b) Non-electrical

    15.How much would you spend on Water purifier?a) Rs 1000 b) Rs 1000Rs 1500 c) Rs 1500- Rs 2000

    16.Have you heard of the product AMRIT EUREKA FORBES?a) Yes b) No

    17. If yes, how did you come to know about the product?

    a) TV b) Newspaper Ad c) Local magazine

    d) Friends

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    18. If from friends, what feedback you have received about the product?

    a) Bad b) Good c) Very good d) Excellent

    19. Do you think AMRIT is affordable for you?

    a) Yes b) No

    20. What type of selling makes it comfortable for you to buy?

    a) Personal selling b) Retailers c) self-groups

    21. Would you prefer to buy AMRIT water purifier?

    a) Yes b) No

    22. Your expectations from a water purifier?

    .

    .

    .

    THANK YOU FOR YOUR COOPERATION. . .

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    REFERENCES____________________________________

    [1] PRLog(press release) - Oct 2010 India water purifier market outlook 2014

    http://www.prlog.org/10978400-india-water-purifier-market-has-tremendous-growth-potential.html

    [2] Rajesh k Aithal and Arunabha Mukhopadhyay

    http://www.csi-sigegov.org/3/32_319_3.pdf

    [3] Consumer behaviour in rural market http://books.google.co.in/books

    [4] Prof. Arpit Loya consumerbehaviour and rural marketing

    http://www.sapientindore.org/sm/mba/semiv/405m/rural%20consumer%20beha

    vior.pdf

    [5] V S Rama Rao, Feb 2008http://www.citeman.com/2777-buying-behavior-

    of-rural-consumers/

    http://www.prlog.org/10978400-india-water-purifier-market-has-tremendous-growth-potential.htmlhttp://www.prlog.org/10978400-india-water-purifier-market-has-tremendous-growth-potential.htmlhttp://www.csi-sigegov.org/3/32_319_3.pdfhttp://www.sapientindore.org/sm/mba/semiv/405M/Rural%20Consumer%20Behavior.pdfhttp://www.sapientindore.org/sm/mba/semiv/405M/Rural%20Consumer%20Behavior.pdfhttp://www.citeman.com/2777-buying-behavior-of-rural-consumers/http://www.citeman.com/2777-buying-behavior-of-rural-consumers/http://www.citeman.com/2777-buying-behavior-of-rural-consumers/http://www.citeman.com/2777-buying-behavior-of-rural-consumers/http://www.citeman.com/2777-buying-behavior-of-rural-consumers/http://www.citeman.com/2777-buying-behavior-of-rural-consumers/http://www.sapientindore.org/sm/mba/semiv/405M/Rural%20Consumer%20Behavior.pdfhttp://www.sapientindore.org/sm/mba/semiv/405M/Rural%20Consumer%20Behavior.pdfhttp://www.csi-sigegov.org/3/32_319_3.pdfhttp://www.prlog.org/10978400-india-water-purifier-market-has-tremendous-growth-potential.htmlhttp://www.prlog.org/10978400-india-water-purifier-market-has-tremendous-growth-potential.html