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Gathering marketing information

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    Gathering marketing information



    Gathering marketing information - Transcript


    Gathering Marketing Gathering Marketing Information


    Marketing is becoming a battle Marketing is becoming a battle based more on information than on sales power

    Learning Objectives Learning Objectives

    What are the components of a modern marketing information system What constitutes good marketing research How can marketing decision support systems help marketing managers make better decisions How can demand be more accurately measured and forecasted

    MIS Probes for Information MIS Probes for Information
    What decisions do you regularly make What information do you need to make these
    decisions What information do you regularly get What special studies do you periodically request What information would you want that you are not getting now What are the four most helpful improvements that could be made in the present marketing information system

    MARKETING INFORMATION MARKETING INFORMATION SYSTEM MIS
    Consists of people equipment and procedures to
    gather sort analyze evaluate and distribute needed timely and accurate information to marketing decision makers information needs develop the needed information and distribute that information in a timely fashion

    The role of the MIS is to assess the manager s

    The information is developed through
    internal accounting records marketing intelligence activities marketing decision support analysis marketing research system

    INTERNAL RECORD SYSTEM INTERNAL RECORD SYSTEM

    The internal records system supplies
    results data i e reports on orders sales prices costs inventory levels receivables payables etc
    The Order to Payment Cycle Sales Information Systems Databases Data Warehouses And Data Mining

    Today companies organize information in databases
    customer databases product databases salesperson databases and then combine data from the different databases decision makers

    Databases Data Warehouses and Databases Data Warehouses and Data Mining

    Companies warehouse these data for easy accessibly to By hiring analysts skilled in sophisticated statistical methods
    companies can mine the data and garner fresh insights into Neglected customer segments Recent customer trends Other useful information

    The customer information can be cross tabbed with product
    and salesperson information to yield still deeper insights

    Data Mining

    The process of searching through computer files to detect patterns Focuses on identifying relationships that are not obvious to marketers The data is stored in a huge database called a data warehouse Can be an efficient way to make sense of huge amounts of data Can help create customer profiles pinpoint reasons for customer loyalty or the lack thereof analyze the potential returns on changes in pricing or promotion and sales forecasts

    Business Intelligence

    Competitive Intelligence

    Process of gathering information and analyzing it to improve business strategies tactics and daily operations Form of business intelligence that focuses on finding information about competitors using published sources interviews observations by salespeople and suppliers in the industry government agencies public filings and other secondary sources including the Internet

    MARKETING INTELLIGENCE SYSTEM MARKETING INTELLIGENCE SYSTEM

    The marketing intelligence system is

    a set of procedures and sources used by managers to obtain everyday information about developments in the marketing environment Sales representatives are the company s eyes and ears they are positioned to pick up information missed by other means

    Motorola understands needs of its Motorola understands needs of its Chinese customers

    Steps to Improve Marketing Intelligence Steps to Improve Marketing Intelligence



    Train and motivate sales force Motivate channel members to share intelligence Network externally Utilize customer advisory panel Utilize government data resources Purchase information Collect customer feedback online

    MARKETING DECISION SUPPORT MARKETING DECISION SUPPORT SYSTEM

    A growing number of organizations are

    using a marketing decision support system to help their marketing managers make better decisions A MDSS is a coordinated collection of data systems tools and techniques with supporting software and hardware by which an organization gathers and interprets relevant information from business and environment and turns it into a basis for marketing action

    Marketing and sales software programs



    BRANDAID CALLPLAN DETAILER GEOLINE MEDIAC PROMOTER ADCAD CONVERSTORY

    Quantitative Tools Used in Marketing Decision Quantitative Tools Used in Marketing Decision Support Systems
    Statistical Tools 1 Multiple regression A statistical technique for estimating 1 a best fitting equation showing how the value of a dependent variable varies with changing values in a number of independent variables 2 Discriminant analysis A statistical technique for classifying an object or persons into two or more categories Example A llarge retail chain store can arge Example determine the variables that discriminate between successful and unsuccessful store locations successful 3 Factor Analysis A statistical technique used to statistical determine the few underlying dimensions of a larger set of inter correlated variables 4 Cluster Analysis 4 5 Conjoint Analysis 5 6 Multi dimensional scaling

    MARKETING RESEARCH MARKETING RESEARCH SYSTEM

    Marketing Research is the systemic design
    collection analysis and reporting of data and findings relevant to a specific marketing situation facing the company Philip Kotler

    According to American Marketing Association
    M R is the systemic gathering recording and analyzing of data about problems related to the marketing of goods and services

    Suppliers of Marketing Research Suppliers of Marketing Research
    Engaging students or professors to design and carry out projects Using the Internet Checking out rivals Syndicated service research firms Custom marketing research firms Specialty line marketing research firms

    MARKETING RESEARCH PROCESS MARKETING RESEARCH PROCESS

    Define the problem and research objectives

    Developing the research plan Collect the information Analyze the information Present the findings

    The Marketing Research Process The Marketing Research Process
    Step 1 Define the Problem the Decision Alternatives and the Research Objectives Step 2 Develop the Research Plan Data Sources Research Approaches
    Observational research Ethnographic research Focus group research Survey research Behavioral data Experimental research Questionnaires Mechanical devices Qualitative measures

    Research Instruments

    Types of Questions Types of Questions
    A Closed end questions
    Dichotomous Multiple choice Likert scale Semantic differential Importance scale Rating scale Intention to buy scale B Open end Questions Completely unstructured Word association picture Sentence completion story completion Thematic Apperception Test

    DEVELOPING THE RESEARCH PLAN DEVELOPING THE RESEARCH PLAN

    Sampling Plan

    Sampling Unit Who is to survey Sampling Size How many to survey Sampling Procedure How to select Probability or Non probability Method which specific method Sampling Media How to reach to your respondents Telephone Mail Personally internet

    Probability and Non probability Probability and Non probability Samples
    A Probability Sample
    Simple random sample Every member of the Every population has an equal chance of selection population Stratified random sample The population is divided Stratified into mutually exclusive groups such as age groups and random samples are drawn from each group each Cluster area sample The population is divided The into mutually exclusive groups such as city blocks and the researcher draws a sample of the groups to interview the

    Probability and Non probability Probability and Non probability Samples
    B Non probability Sample
    Convenience sample The researcher selects the Convenience most accessible population members most Judgment sample The researcher selects Judgment population members who are good prospects for accurate information for Quota sample The researcher finds and interviews Quota a prescribed number of people in each of several categories several

    Marketing Research System Marketing Research System

    Step 3 Collect the Information Step 4 Analyze the Information Step 5 Present the Findings Step 6 Make the Decision

    MEASURING MARKET DEMAND MEASURING MARKET DEMAND
    Which market to measure market offer

    Potential Market have sufficient level of interest in a Available Market who have interest income and
    access to a particular offer

    Qualified available market Target Market or Served Market a co can go for
    serving whole available market or can concentrate on certain segments

    Market Demand total volume that would be bought by a

    DEMAND MEASUREMENT DEMAND MEASUREMENT

    defined customer group in a defined geographical area in a defined time period in a defined marketing environment under a defined marketing programme Market Potential It is the limit approached by market demand as industry marketing expenditures approach infinity for a given marketing environment Market Forecast Only one level of industry marketing expenditure will actually occur The market demand corresponding to this level is market forecast

    Company Demand Company Sales Potential Company
    Sales Forecast

    Forecasting and Demand Measurement

    ESTIMATING FUTURE DEMAND ESTIMATING FUTURE DEMAND
    I What People Say
    Survey of Buyers Intentions Composite of Sales Force Opinions Expert Opinion II What People Do Market Test Method III What People Have Done Historical Approach A Time Series Analysis B Statistical Methods

    ESTIMATING FUTURE DEMAND ESTIMATING FUTURE DEMAND
    III What People Have Done
    Historical Approach A Time Series Analysis Consists of breaking down past time series into four components trend cycle seasonal and erratic and projecting these components into the future

    ESTIMATING FUTURE DEMAND ESTIMATING FUTURE DEMAND
    III What People Have Done Historical Approach B Statistical Methods S2 S1 S1 S0 S1 S0 S2 Sales of the next period S1 Sales of the current period S0 Sales of the past period
    i Trend Projection Method

    ESTIMATING FUTURE DEMAND ESTIMATING FUTURE DEMAND

    III What People Have Done Historical Approach B Statistical Methods ii Multiple Regression Analysis Q Sales is expressed as a function of a number of independent demand variables Q F X1 X2 X3 X4 Xn

    Techniques
    Jury of executive Jury opinion opinion

    Benefits
    Opinions come from executives in many different departments quick inexpensive

    Limitations
    Managers may lack sufficient knowledge and experience to make meaningful predictions

    Delphi technique

    Group of experts can accurately predict long term events such as technological breakthroughs

    Time consuming expensive

    Sales force Sales composite composite

    Salespeople have expert customer product and competitor knowledge quick inexpensive

    Inaccurate forecasts may result from low estimates of salespeople concerned about their influence on quotas

    Survey of buyer Survey intentions intentions

    Useful in predicting short term and intermediate sales for firms that serve only a few customers

    Intentions to buy may not result in actual purchases timeconsuming expensive

    Techniques Market test

    Benefits Provides realistic information on actual purchases rather than on intent to buy

    Limitations Alerts competition to new product plans timeconsuming expensive

    Trend analysis

    Quick inexpensive effective with stable customer demand and environment

    Assumes the future will continue the past ignores environmental changes

    Exponential Exponential smoothing smoothing

    Same benefits as trend analysis but emphasizes more recent data

    Same limitations as trend analysis but not as severe due to emphasis on recent data