38083567 Consumer Perception on Matrimony

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    Matrimony research is the 13th most popular activity on theinternet

    There are more than 12 million visitors of matrimonial sites

    in urban India.

    These matrimonial sites are having business of more than 60crore rupees.

    FACTS AND FIGURES

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    Majore player Market share

    Bharat matrimony.com 50%

    Jeevan sathi.com 40%

    Simply marry.com 10%

    MAJOR PLAYER IN MATRIMONY BUSINESS

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    Research methodology

    Research design-Descriptive

    Sampling area

    Sampling area was chosen as Ghaziabad city as it wasapproachable and convenient.

    Sample size

    Total number of hundred people were surveyed andthe data has been collected from those hundredrespondents.

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    Sampling Techniques

    Sampling techniques used in this research is conveniencesampling as the research was carried inside the periphery of

    Ghaziabad which was in our reach.

    Sample unit

    Housing societies of Ghaziabad .

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    a a co ec on me o

    The data collection method used in this research throughsurvey was divided into two main data collectionmethods:

    Primary data collection method

    A questionnaire was prepared in order to collect the datafrom hundred respondents in Ghaziabad region. Eachrespondent was provided with a questionnaire in order toattain the desired information.

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    Secondary data collection method

    The secondary data was collected mainly throughInternet i.e. by visiting different matrimonial websites. Few of the web sites names are as follows:

    www.jeevansathi.com

    www.shaadi.com

    www.bharatmatrimony.com

    www.ekjodi.com

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    Interpretation

    Kaiser-Meyer-Olkin Measure of SamplingAdequacy.

    .558

    Bartlett's TestofSphericity Approx. Chi-square109.125

    df66

    Sig. .001

    Analysis-Here expected value is 0.50 and observed value is .558

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    Initial Extractionfrequently_visit 1.000 .578needs_requirement 1.000 .636

    Trustworthy 1.000 .608

    time_consuming 1.000 .555

    promise_delivery 1.000 .395consumer_reference 1.000 .609

    Information 1.000 .447Attractive_advertisement 1.000 .525

    consumer_dependence 1.000 .634

    youngster_preferences 1.000 .715Authenticity 1.000 .753Success 1.000 .588

    ExtractionMethod: Principal Component Analysis.

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    Rotated Component

    MatrixaComponent

    df 1 2 3 4 5frequently_visit

    .757Needs requirement .750

    trustworthy .770

    time-consuming .408 -.518

    promise delivery -.463

    consumer reference .696

    information -.442

    attrective_advertisemen

    t

    .635

    consumer dependence .665

    youngster_preferences -.803

    usefullness .799

    successs -.713

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    factor Factor name Variable

    (1) Reliability Frequent visit

    Usefullness

    (2) Promisable Trustworthy

    Need requirement

    Promise delivery

    (3) Communication Consumer reference

    Youngster preference

    (4) Achievement Time consuming

    Attractive advertisement

    Success

    (5) Accesability Information

    Consumer dependence

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    CALCULATION 1:CHI SQUARE TEST

    H0: There is no association between frequent visits by

    consumer and the level of promise delivery they

    are getting.HA: There is a association between frequent visits by

    consumer and the level of promise delivery they

    are getting.

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    Chi-Squaretest

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    Result : .092< .10

    At 90% confidence level significance level is.092 which is less than.10

    Rejectnull hypothesis(H0)

    Conclusion: It signifies thatthereis associationbetweenfrequentvisit byconsumers and levelofpromisedeliverytheyaregetting.

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    H0: There is no association between attractive

    advertisement of websites and the Success.

    HA: There is a association between attractive

    advertisement of websites and success.

    CHI-SQUARE 2

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    Result:.090 < .10

    At 90% confidence level , significant level is.090 which is less than.10 .

    Rejectnull hypothesis (HO).

    Conclusion: It signifies thatthereis associationbetweenattractiveadvertisementofwebsiteand

    success.

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    CHI-SQUARE 3

    H0: There is no association between information

    and the Success.

    HA: There is a association between information

    and success.

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    Result:.070 < .10

    At 90% confidence level , significant level is ..070 which is less than.10 .

    Reject Null hypothesis (HO)

    Conclusion- It signifies thatthereis associationbetweeninformationand success.

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    CHI-SQUARE 4

    H0 Thereis noassociation betweentrustworthyand Frequentvisit.

    HA Thereis association betweentrustworthy

    and Frequentvisit.

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    Result:.086 < .10

    At 90% confidence level , significant level is.086 which is less than.10

    Rejectnull hypothesis (Ho)

    Conclusion: It signifies thatthereis associationbetweentrustworthyandfrequentvisit

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    Multi Dimensional Scaling (MDS)

    UsedforProduct positioningand brandpositioning.

    MDS has been usedtoidentify:

    Thenumberandnatureofdimensionconsumers useto perceivedifferent brandinthemarket place.

    The positionofcurrent brands onthesedimensions.

    The positioningofconsumers ideal brandonthesedimensions.

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    Disimilarity Based Apporach

    Jeevan

    sathi .com

    Nikaahsear

    ch.com

    Indian

    match.com

    Bharatmatrim

    ony.com

    Shaadi.c

    om

    Ekjodi.co

    m

    Jeevans

    aathi.co

    m

    0 3 4 3 1 5

    Nikahse

    arch.com

    6 0 2 4 7 7

    Indianm

    atch.co

    m

    4 2 0 1 3 6

    Bharatmatrimony

    .com

    3 4 1 0 2 4

    Shaadi.c

    om

    1 7 3 2 0 2

    Ekjodi.c 5 7 6 4 2 0

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    3 dimensions arederived

    Stress value for these three dimensions are:

    y Dimension 1:0.36852

    y Dimension 2:0.08609

    y Dimension 3:0.05975

    y Stress value indicates the measure of lack of fit, so it should be asclose to zero as possible.

    y So the objective should be to get the solution with an acceptably

    low value of stress, in the least possible no. of dimensions.

    y Hence, the 3-dimensioal solution looks the best, as the stressvalue is a low 0.05

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    Now by looking at the scores for the 6 MatrimonialSites on 3 dimensions, we decide on the followingnames for the three dimensions.

    Dimension 1: Reliability

    Dimension 2: Performance

    Dimension 3:Current matrimonial site Image

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    Accordingtothe scores

    Reliability:

    Jeevansaathi.com,Ekjodi.com

    Performancein service quality:Nikaahasearch.com,Jeevansaath.com

    CurrentMatrimonial Sites Image:

    Bharatmatrimony.com

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    Motivation Factors

    Togetthe best mate

    Forinformation

    Forfun

    Toget samereligious

    Tofind mate with sameoccupation

    Toget marriedfortheirchildren

    Toget morealternativeformach making

    Tojoin same society

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    Rank of the factorsS.no Factors for

    visiting

    Weighted

    average

    Rank

    1 Toget marriagefortheirchildren

    18.19 1

    2 Togetthe best mate 15.16 2

    3 Toget samebride/groom ofsame

    caste

    13.78 3

    4 Tofind mate withsameoccupation

    12.36 4

    5 Toget morealternativeformatchmaking

    11.78 5

    6 To join same society 10.33 6

    7 For Information 10.00 7

    8For fun

    9 8

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    Itis very well understoodfrom thetablethatvery 1st factortowards visitingthe siteis gettingthechildren married.

    Second most preferred bythecustomers aretogetthe best.

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    Age wise Classification

    Age Classification Frequency Percent

    18-22 12 12%

    22-26 30 30%

    26-30 36 36%

    30-34 12 12%

    34 andabove 10 10%

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    Conclusion

    Customerprefermatrimonial sites becausetheyfeel thedata provided bythem is authenticandalsoeasilyaccessible.

    Customers are highlydependentonthese sitesas theycanaccess theinformationandphotograph along with family backgroundatthesamethus makingit UserFriendly

    The siteis generallyvisited byyoungsters.

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    Recommendation

    The websites should provide useful informationtothevisitors as itincreases trusttowardthatwebsite.(accordingto www.indianmarriages.infothereare 15 millionusers ofbharatmatrimonial.com and 13 million users ofshaadi.com

    Companies shoulddeliverthe promises theymadeinordertoattract more users totheirwebsite.

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    Bibliography

    http://www.jeevansathi.com/

    http://www.nikahsearch.com/http://www.indiamatch.com/http://www.garamchai.com/mohan/

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    Bibliography Cont

    The Economist, October25, 2006. "Madeforeachother

    Peeyush Agnihotri. "Shehnai please, its Webbingtime",The Tribune, 2002-05-06

    Gitanjali Sharma. The mating Game, The Tribune,2004-12-18

    MohanBabu. "The business ofonline matchmaking",GaramChai

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    Annexture

    Questionnaire

    Respondtoeach statement below by puttingtickmarkinthecorrect box-:

    (SA )Strongly Agree-(1) (D) Disagree(2)

    (A) Agree (3) (SD) Stronglydisagree(4) ( N)Neutral.(5)

    GENDER :- Male (1) Female (2)

    AGE :- 18-22 (1) 22-26 (2) 26-30 (3)30-34 (4) 34 andabove (5)

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    S.No Questions

    1

    SA

    2

    D

    3

    A

    4

    SD

    5

    N

    1.

    Matrimonial sites is visited byconsumers onfrequently

    basis

    2.

    Matrimonial sites really serveyourneeds and

    requirement

    3. VisitingMatrimonial sites is trustworthy

    4.

    Timetaken bythe matrimonial websiteto match your

    needs is satisfactory

    5.

    Level ofthe websitetodeliverthe promises is

    satisfactory

    6. Consumers referthese social sites to

    friends/family/colleagues

    7. Theinformation provided by matrimonial sites is

    relevant

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    S.No Questions

    1

    SA

    2

    D

    3

    A

    4

    SD

    5

    N

    8.Matrimonial sites generally useattractiveadvertisement.

    9.

    MajorityofConsumers aredependenton matrimonial

    sites

    10.

    Matrimonial sites area preferableareaofyoungsters.

    11.

    Information provided by matrimonial sites is generally

    authentic

    12.

    Marriages adopted by matrimonial sites are successful.

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    Any Query