The Marketing Research Process an Overview

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    Welcome to Powerpoint slides

    for

    Chapter 2

    The Marketing

    Research Process:

    An Overview

    Marketing ResearchText and Cases

    by

    Rajendra Nargundkar

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    Slide 1

    A marketing research project starts with an information

    need. It ends with an actionable report or presentation or

    both. In between are various steps to ensure that the

    marketing research project achieves what it set out to do.

    A diagrammatic representation of the Marketing

    Research Process is shown in the figure below

    1. Information 4. Plan and do

    Need Felt Secondary Research

    2. Define the 5. Plan and do

    Research Primary Research

    Objective

    3. Design the 6. Tabulation

    Research and Analysis

    Methodology

    7. Report Writing

    and Presentation

    8. Marketing Action

    We will now consider each of these steps in detail

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    Slide 2 Information Need

    Consider, for example, an expensive advertising campaign

    which has been running on television for 3 weeks. It may

    not have produced the expected jump in sales in some of

    the major sales territories. The client, let us assume, is a

    shaving blades manufacturer.

    The marketing manager has to decide whether to

    discontinue the campaign, or change it, or reconfirm that the

    ad campaign is good. If the ad campaign is good, it may be

    some other marketing variables such as the price or

    distribution, or strong competitive promotions that are the

    reasons for sales not being upto expectations.

    One way to find out is to do marketing research. Therefore,

    the marketing manager has identified an information need ,and it could be fulfilled by a marketing research study.

    There could be a second marketing manager who is

    considering the launch of a new brand of deodorant in the

    market. He wants to know how to position the brand in the

    market, and get a rough estimate of what the market sizewould be in the chosen segments. He has an information

    need, which could be filled by doing a consumer survey.

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    The risk involved in taking a marketing decision withinadequate information, should be weighed against the

    cost of getting the information, and, taking a better-

    informed decision. Success depends on many factors, and

    information is only one of them.

    Of course, any need for information must be examined

    in terms of the cost of obtaining the required

    information. Also, the cost of not having this

    information should be estimated.

    A third marketing manager heads a popular music

    channel on T.V. He wants to know which of his video

    disc jockeys is the most popular, and which show is the

    most watched. He could commission a study by an

    independent marketing research agency to do just that.

    Slide 2contd...

    The risk involved in taking a marketing decision withinadequate information, should be weighed against the

    cost of getting the information, and, taking a better-

    informed decision. Success depends on many factors,

    and information is only one of them.

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    Slide 3 Defining The Research Objective

    If we do have an information need that can be met by doing

    marketing research, the next step would be to define the

    Research Objective in terms of that information need.

    For example, a study could have as its objective, the

    determination of customer satisfaction with a brand of new

    frost-free refrigerator launched by ourcompany.

    A research objective can be specified broadly, or narrowly.

    One common pitfall in the field of marketing research is to

    specify too many objectives for a single marketing research

    project. It produces a mass of data that is not really needed

    at that point of time.

    In most cases, about four or five objectives are adequate todo a useful marketing research study.

    Every objective translates into a few questions on aquestionnaire, and there is a limit to how many questions a

    respondent can honestly answer before his interest level

    goes down.

    Sometimes, we call the research objective by another name

    the research problem. Broadly, these two terms can beused interchangeably.

    Whatever the terminology used, the research should end up

    with useful information that enables a marketing manager or

    entrepreneur to make a better decision. If a report is meant

    to lie on a shelf, it is not really marketing research, but a

    waste of resources.

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    Research Designs: Exploratory, Descriptive and Causal

    A research design provides the framework to be used as aguide in collecting and analysing data. But it is not necessary

    that a particular research design is always the best. Experiencewith different research designs will generally provide theresearcher with the capability to match a research problem withan appropriate design.

    For example, in a study for a new English daily newspaper

    launched in Bangalore in the eighties, it was found that thesales were much below expectations. A survey was proposedBut as a complement to the survey, the author's team at aresearch agency proposed a Content Analysis of all the majordailies in Bangalore.

    This method analysed the coverage of various categories ofnews such as politics, sports, regional, national, city-basednews etc. by the client's newspaper and the competitors.

    This gave vital insights to the publishers of the paper, and overa period, it became successful. This is just an example to show

    that sometimes unusual research designs do pay off.

    Broadly speaking, we can classify research designs into thefollowing three kinds -

    .Exploratory Research

    .Descriptive Research

    .Causal Research

    Slide 4

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    Exploratory Research

    It is generally used to clarify thoughts and opinions about the

    research problem or the respondent population, or to provide

    insights on how to do more conclusive (causal) research.

    An example could be a chocolate manufacturer wanting to

    identify the ten most important variables his consumers use to

    decide on whether to buy a chocolate brand.

    The results of this exploratory study could provide him withinputs for a second study using Factor Analysis techniques(discussed in Part 2 of this book) to reduce the ten variablesinto a smaller set of FACTORS.

    Another example of exploratory research is a focus group

    discussion among housewives to debate the future ofconvenience foods in India. It may be used to throw up ideasabout new products, or suggest modifications to existingproducts through a free-wheeling discussion.One major application of exploratory research is to generatehypotheses for further studies.

    The methods used in exploratory studies can range from theusual surveys, to focus groups, to consultations with experts inthe field, to analysis of selected cases. An example of the lastmay be to study three of a company's best salespeople, andthree of the worst, to try and figure out what drives the salesof the products, and their motivations. This could help indesigning a study of customers to find out more from them.

    Slide 5

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    Descriptive Research

    Most marketing research is of this type. Typically, descriptive

    tudies are either (1) longitudinal or (2) cross-sectional.

    Longitudinal studies

    These generally take the form of a sample which is studied

    over a period of time - from a few months to a few years. An

    example is a panel. A Panel is a sample of respondents chosen

    from the defined target population for the study. This sample

    could be of consumers, retailers or of any other type.

    A consumer panel could be used to study consumption of

    products/brands over a period of time. It could also be used to

    measure viewership of T.V. shows, or readership of magazines.

    A retail store audit is a variation of the panel, with data beingcollected from retail stores on the products/brands being

    tocked, shelf space allotted, sales and promotions etc.

    Panel data has the advantage of enabling comparisons at

    different points of time For example, the effect of a change in

    price, pack design, or other elements of the marketing mix canbe easily measured by comparing the sales or market share

    before and after the change.

    This is not so easy to do in typical survey data, because it is

    cross-sectional in nature, for only one point in time.

    Slide 6

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    One other advantage of panels is that if a quick check

    on something is needed, sample selection time can besaved by approaching panel members. In these days of

    the internet it may be possible to get a quick response

    to a short survey of panel members in a matter of a

    couple of days.

    There is of course a disadvantage to panel data. Panels

    suffer from a selection bias. Some people are more

    likely to agree to be on a panel than others, because it

    needs a commitment in terms of time and effort to

    regularly record and report data. This selection bias

    may make panels non-representative of the targetpopulation.

    In some data mining applications, the analysis may

    resemble longitudinal studies, because data from the

    same customers or retailers over a period of time may

    be analysed for patterns of behaviour etc.

    Slide 6contd...

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    Cross-sectional design

    t is the most commonly used in marketing research. This is aone-shot research study at a given point of time, and consistsof a sample (cross-section) of the population of interest. The

    ypical market survey is of this type.

    Its advantages are that it gives a good overall picture of theposition at a given time

    t can cover many variables of interest, and is not affected by

    he movement of elements in the sample, because otherelements can be substituted for them (at least in consumeresearch).

    The disadvantages could be that a cross-sectional study tendso rely too much on numbers, can be affected by poor quality

    of interviewers or supervisors, and tends to view thepopulation in terms of too many generalisations - the "average"consumer's views about anything, which may cloud thendividuals or segments among the population.

    To some extent, the last mentioned problem can be overcomewith certain techniques of analysis. For example, we can

    analyse data by town or region or by other segments to preventunnecessary aggregation which is misleading.

    On the whole, though, cross-sectional research appears to bemost preferred by market researchers and their clients onaccount of its simplicity and understandability. It is also quiteflexible in nature, and can take care of simple analysis as well

    as complex statistical methods.

    Slide 7

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    Causal Research Designs

    In research, we can never be completely sure that a

    particular variable (say X) influences another (say

    Y). But a causal design seeks to establish causation

    as far as possible, by employing controls and

    conditions under which we can state with reasonable

    confidence whether or not Y is affected by X.

    In addition to X and Y, of course, there may be other

    variables which could affect the relationship

    between X and Y. How to treat the other variables

    during the analysis of the effect of X on Y alsoforms part of the causal designs.

    Causal designs differ from descriptive designs in

    their greater probability of establishing causality.

    The reason for this is that causal designs are similar

    to experiments done in a lab, where we know whatgoes in, what changes are made, and what results

    from the changes. Causal designs are also known as

    Experimental Designs, for this reason.

    Slide 8

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    Designing The Research Methodology

    Every research study starts with some information

    need. Sometimes, the information required can be

    collected entirely from published sources or internal

    records. This is called secondary research.

    It is more usual, however, that we will need tocollect data from primary sources customers,

    buyers, users, dealers or some other respondents.

    The major parts of the research methodology that

    need designing are

    .Research MethodSecondary and Primary

    .Sampling Plan

    .Questionnaire Design (if applicable)

    .Field Work Plan

    .Analysis Plan

    Usually, the first thing one has to decide is the

    method to be used for data collection.

    Slide 9

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    Data Collection Methods

    It is possible to collect data from respondents by many

    different methods. The major methods commonly used

    are

    .Survey

    .Observation.Experimentation

    .Qualitative Techniques

    .Other specialised techniques

    Quantitative methods are generally more popular than

    qualitative techniques in marketing research studies.Also, the survey technique is more popular than other

    techniques.

    Slide 10

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    Survey

    There are different ways a survey can be carried out. It

    can be done by telephone, by mail, or in person. In

    present times, it can even be done by email using theinternet. Each of these has its own merits and demerits.

    For example, personal interviews have the advantage

    that questions can be explained to respondents, and

    facial reactions or body language can be observed.

    Telephonic surveys have the advantage of low cost. But

    facial reactions cannot be observed.

    Internet surveys are quite new, but may have the same

    disadvantages that telephonic surveys have. It isdifficult to ensure that all target respondents have an

    opportunity for selection in the sample.

    For example, every potential respondent for the survey

    may not be using the e-mail, or even a computer.

    Therefore, the e-mail survey does not represent a truesample of the target population for many products or

    services. To that extent, the results may be wrong,

    compared to the errors in a door-to-door personal

    interview done with scientific probability sampling.

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    But if some amount of error is acceptable and

    speed is of the essence, an e-mail survey or a

    telephone survey would be excellent methods. Atraditional mail survey would be much slower, by

    comparison.

    At present, personal interviews are the preferred

    method for doing surveys in India. Telephone

    and mail surveys are used in a minority of caseswhere they are justified by the target population

    and the objective of the research.

    Slide 11 contd...

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    Observation

    Sometimes, Observation, or Experimentation could be the

    method of choice. Observation is a technique where the

    consumers behaviour is recorded, usually without his

    knowledge.

    For example, a video camera in a retail store can be used to

    record a customers behaviour while she buys a garment.

    If it is a full service store, like many Indian stores, she couldask for a particular brand or brands, look for specific colours,

    or fabric, or prices etc. in a particular sequence. Her facial

    reactions or eagerness or lack of interest when a piece is

    displayed to her can be recorded along with the garment.

    Viewed later, this video tape can be interpreted for thepurchase factors, purchase behaviour, brand preference, price

    and colour preference, and matched with the ladys age and

    complexionif she bought for herself.

    The obvious advantage of this technique is that it is actual

    consumer behaviour that gets recorded, rather than their

    statements of purchase intention. Therefore, we get more

    accurate information.

    If a video recording is too expensive, an audio recording is

    possible, or even a data collector in person can observe andrecord his findings on paper.

    Slide 12

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    Experimentation

    This is the third major technique in quantitative

    research. This involves more control over the cause

    and effect, when compared to a survey.

    In experiments, we try to measure the effect of one or

    more variables by changing the level of some variables,

    and measuring the effects. For example, if an

    advertisement is released, and we measured the Brand

    Awareness of the advertised brand among a sample oftarget respondents, we would be doing an experiment.

    In the same way, a product test could be designed as an

    experiment, with three different variants of the product

    being tested on three randomly chosen sets of

    respondents from a target population. The modern

    method of Simulated Test Marketing (STM) is usually a

    design which can be termed an experiment.

    A detailed discussion of experimental techniques with

    numerical examples appears in the Chapter titledANOVA.

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    Qualitative Techniques

    Sometimes, the research objective calls for more indirectmethods of questioning, either because normalquantitative surveys are inadequate, or inappropriate.

    In such cases, qualitative methods, which probe the mindsof respondents may be used. Here, the emphasis may beon free-wheeling interviews with open-ended,unstructured questions such as What do you expect froma refrigerator?,What needs does it fulfill? orWhat do

    you feel when a friend shoots an envious glance at yourcar?

    Other methods of qualitative research include the WordAssociations where a respondent is asked to think of aword which comes to mind when he thinks of a brand.Other variations include associating each brand with a

    person or celebrity, or an animal, etc.

    The major requirement for using qualitative techniques isthat we require a behavioural specialist such as a

    psychologist or sociologist to analyse the findings. Thesample sizes in qualitative studies are usually small, and

    analysis and interpretation is not as easy as it is inquantitative studies. If done by non-experts, qualitativeresearch can be completely misleading.

    Qualitative techniques can also be used in combinationwith quantitative techniques to gain better insights into

    consumer mindsets.

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    Slide 15

    An example of qualitative research is a study done

    by TVS Suzuki, among scooter and moped users in

    1989. (cited in The Catalyst, Business Line, July 10,1989).

    The research objective was to assess the impact of a

    newly launched scooterette from Bajaj on the market

    for TVS mopeds, and to try and find out what people

    expected TVS to do in response.

    The method used was focus groups, who discussed

    on motivations behind purchase of mopeds and

    scooters.

    Projective techniques were also used with

    respondents being asked to put themselves in place of

    existing moped brands and talk about themselves as

    if they were the brands.

    The concept of a low cost scooterette was thenexposed to the participants, and their interest levels

    appeared high. This research formed one of the bases

    for TVS to design and launch the SCOOTY.

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    Specialised Techniques

    There are three specialised techniques, used commonly b

    marketing researchers

    .A Consumer Panel is a sample of consumers chosen fo

    keeping a record of what they buy in a given period or wha

    T.V. shows they watch in a given periodThe special feature o

    this is that the sample remains the same for a year or si

    months

    .Retail Audit : Many companies routinely do a retail aud

    and publish the results (at least partially). Detailed reports ar

    available for anyone to buy and use. A retail audit measure

    what brands are sold and their quantity sold in a particula

    period. It could be done weekly. In India, ORG is a compan

    which routinely performs retail audits.

    Both regional and national audits can be done. Usually, suc

    audits are best done by a third party (independent agency), t

    reduce chances of bias, rather than the marketing company.

    Sometimes, similar studies are undertaken by the company foits own brands at either consumer level or retail level.

    .T.V. Audience Measurements : These days, millions o

    rupees are spent in ads on T.V. It is important for the markete

    to know who is watching the T.V. shows on which he ha

    advertised. Or, to plan for a particular audience profile.

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    There are now commonly used technologies which

    record who is watching a given channel and show at

    any given time, for upto a week. These are called

    Peoplemeters, and are available in India for about

    Rs. 40,000/- a piece. Indian Market Research

    companies such as IMRB and ORG-MARG/A.C.Nielsen have already started using them, and their

    use is likely to grow. The branded names for the

    peoplemeters in India are TAM and INTAM.

    The new meters have changed the advertising

    patterns of many T.V. channels and individualshows after they were introduced in India.

    Slide 16contd...

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    The next stage in a marketing research study, after the

    primary research method has been decided upon, is the plan

    for

    .Sampling

    .Field Work

    .Analysis

    These are probably the most important in a study involvingprimary research, as the credibility and the accuracy of a

    study is dependent on these stages.

    Sampling Plan

    This is the statement of what will be the sample composition

    and size. This is the most critical of all decisions in the

    marketing research process, because we are usually trying to

    make a statement about the target population based on our

    study of the sample.

    For instance, if we find that 50% of our sample is favourably

    disposed towards Brand A, we are likely to use it as a

    benchmark for the entire target market, give or take a few

    percentage points (due to errors). But in order to make the

    sample representative of the population, a lot of care has to be

    taken by the researcher.

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    In general, two precautions should be taken to ensure a

    good sample (good means representative).

    .Use a probabilistic sampling technique which is not

    biased.

    .Try and divide the population to be sampled into

    segments or strata based on relevant parameters such

    as users/non-users, or classes based on age, income,etc. Then, ensure that each segment gets represented

    adequately in the final sample. This also applies to

    studies that are done in multiple cities. If a study is

    done in twenty cities, and if analysis is required by city

    (i.e. for each city separately), then the sample size for

    each city must be adequate for such analysis.

    Generally, formulas can be used to determine sample

    sizes, but they suffer from some limitations. For a more

    detailed discussion, please refer to the chapter titled

    Sampling MethodsTheory and Practice.

    It is usually a blend of theory, practical limitations and

    experience which generates the best sampling plan in any

    given research situation.

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    Field Work Plan

    This is clearly linked to the sampling plan. Once

    the sampling centres (cities, towns, etc.) are

    decided on, and the sample sizes are determined

    for each, the next step is to plan on the

    following

    .Who

    .When

    The first question is who will do the field work

    for collecting data. Field work assumes that we

    are collecting data from respondents by going to

    the field that is, homes, offices, shops,

    dealerships, etc.

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    Slide 20

    Before doing field work, whoever is going out in the

    field needs to have an idea of what is to be collectedand its format of recording. In the traditional format of

    personal interviews (which is still the most popular

    format in India), a questionnaire is used by the field

    workers in most cases.

    Sometimes, a checklist is used instead, if the situationdemands it. We will assume here that the

    questionnaire has been developed. A detailed

    discussion of how to develop a good questionnaire

    appears in the chapter titled Questionnaire Design a

    Customer-centric Approach.

    The second question is when. In many studies

    carried out nationally, it is not possible always to

    simultaneously cover all centres, on the same days.

    There could be logistical problems for supervisors, or

    there may be difficulties in recruiting adequate fieldworkers etc. But it is desirable to have a well-planned

    schedule so that all field work is completed in an

    orderly fashion, and cross-checks can be established.

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    Briefing

    For all important studies, the research executive in

    charge should personally brief the field supervisor (the

    person who will actually supervise the team of field

    workers during the data collection).

    This briefing session is conducted after recruiting field

    workers, and ends with a practice round of mock

    interviews and questions from field workers on any

    special difficulties they may encounter in locatingrespondents, asking certain questions, etc.

    The mock interviews and the briefing session is

    designed to explain and clarify to the field workers

    how to go about their data collection task. In most

    studies, temporary field workers are recruited on adaily wage basis and paid on the basis of a minimum

    number of complete, usable questionnaires filled up.

    The number of field workers required in each centre is

    usually estimated based on the sample size required,

    the locations where the sample can be found, the

    number of supervisors available, and the time limit for

    completion of field work. These are communicated by

    the research executive in charge to the field

    supervisors in his branch offices, who generally recruit

    the field workers.

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    Debriefing

    It is important that any problems on the field get

    reported to the field supervisor or the research

    executive, and solutions found quickly. These problemsmay include difficulty in locating target sample units, or

    non-cooperation in answering some questions, or

    difficulties in comprehension.

    To minimise any problems the field staff may encounter,

    a debriefing session is usually held at the end of the firstdays field work in each new centre (location). The field

    staff reports on the work progress, and problems faced

    in the field, if any. Solutions are thought of by the

    research executive or field supervisor, and implemented

    for the remaining part of the study.

    Some of these problems are recognised even earlier if a

    pilot study of a small sample is performed, before

    starting regular field work. Alternatively, the first days

    or half days field work could be considered as a pilot

    study, and not included in the survey results.

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    Analysis Plan and Expected Outcome

    Analysis is based on the answers given to questions. It

    is important to have an analysis plan in mind even

    before going to the field with a questionnaire.

    Regrettably, this is not always given the attention it

    deserves by the researcher. It is sometimes assumed that

    it can be done later, or that all possible analyses can be

    done anyway, so why bother to plan the analysis inadvance. But for many reasons, it is vital to do so.

    A very powerful reason is that the sample size gets

    reduced, if the analysis is done on parts of the sample.

    For instance, in a sample of 200 respondents, there

    could be 16 combinations of income (4 groups) and age

    (4 age groups). If analysis is performed for a

    combination of age and income, we get a 16- celled

    output matrix. Even assuming a uniform distribution of

    the sample into these 16 cells, each cell only gets a

    sample size of 100 / 16 or 12.5 persons. This may notbe good enough to draw conclusions about the given

    Age-Income combination.

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    But if it is known in advance that we will analyse the

    data by this combination, we can increase the sample

    sizes in each cell to say, 20 or 30 by incurring marginaladditional cost. This cannot be done easily at the

    analysis stage, after all data has been collected and

    tabulated.

    In certain cases, special statistical procedures or tests

    have to be performed. For example, in a procedurecalled multidimensional scaling (covered in a later

    chapter), the questionnaire has to be constructed in a

    particular way. Otherwise, it is not possible to do the

    required analysis.

    For these reasons, we must know in advance, at least the

    types of analyses we want to perform.

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    There are normally two very basic kinds of analyses in a

    marketing research study. These are

    .Simple Tabulation

    .Cross Tabulation

    Simple Tabulation involves counting the number of

    esponses in each category for a question, and putting it in a

    frequency table form. This can be used to computepercentages, by dividing the number of responses by the

    ample size. This is done for each question in the

    questionnaire.

    Cross Tabulation: This is the result of counting

    imultaneously, answers to two or more different questions ona questionnaire. For example, one question may ask howfrequently respondents buy a soap brand. Answers may varyfrom Once a Month to Thrice a Month.

    Another question on the same questionnaire may ask for their

    eaction to the fragrance of the soap. We may want to crossabulate the responses to these two questions. How many ofhe people who liked the fragrance bought once a month, and

    how many of them bought twice or thrice a month? Similarly,how many who did not like the fragrance bought it once, twiceor thrice a month?

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    While doing cross-tabulation, it is also necessary that

    the two questions (variables) that we are cross-

    tabulating must be related to each other. For example,

    in the above example, it is possible that the frequency

    of soap purchase is a function of family size, rather

    than the liking for its fragrance.

    It is possible to compute cross tabulation data for any

    two questions on a questionnairebut all of these maynot be meaningful.

    Expected Outcome

    One good way to think about expected outcome is to

    prepare a blank table of output, particularly for anycross tabulations we may be interested in.

    This can be done after the questionnaire is designed,

    but before the field work is done. This helps to

    anticipate some of the problems in sampling and

    corrective action can be taken easily to adjust sample

    sizes on the field.

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    Budget and Cost Estimation

    There are two or three basic parameters which provide an

    estimate of how much a study is going to cost.

    Sample sizeHow difficult to find the sampling units (respondents) are, and

    heir geographical dispersion.

    Who will do the field work

    For example, if hired field workers are doing the field work, a

    tudy costs much less per respondent, than if a researchexecutive conducts the interviews. In some industriamarketing research, a qualified research executive may in facdo the field work himself. But in most consumer product oervice studies, it is hired temporary field workers who do it. Inuch cases, sample size is multiplied by the estimated cost per

    espondent to arrive at a total cost estimate.

    This estimate is modified by the number of centregeographical dispersion) for the study, and the difficulty inocating required respondents.

    For example, locating a 2-wheeler owner for a given brand of 2wheeler (say, a Suzuki or Honda), is much easier than locatingan owner of a luxury carsay, a Mercedes. Additional cities fohe survey may entail travel and communication cost for theesearch executive and supervisory staff in addition to norma

    cost of field work.

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    Presentation, Report and Marketing Action

    After the tabulation and analysis is completed, the

    next step is usually a presentation to the sponsor of

    the study. This includes frequency tables and cross

    tabulations in percentage terms, and special analyses

    if any. It also includes a summary of major findings,

    and some recommendations. If any additional cross

    tabulations are required, the client or sponsor usuallyrequests them at this stage.

    A formal report usually follows the presentation.

    This should normally contain the following :

    .Executive Summary

    .Table of Contents

    .Introduction

    .Research Objectives

    .Research Methodology-Sample Design

    Field Work Plan and Dates

    -Analysis / Expected Outcome Plan

    -Questionnaire Copy (as Annexure)

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    .Analysis

    -Simple Tabulation-Cross Tabulation

    -Any Special Analysis

    .Findings

    .Limitations

    .Recommendations for Action.Bibliography / List of References

    Based on the report, the client

    normally will take some marketing

    actions. This is the expected outcomeof any marketing research study.

    Slide 27 contd...