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  • 7/30/2019 Session 8,9,10,11

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    Tracking Competitors

    Strategies

    Industrial Products

    Product sales literature

    The companys own sales forceTrade advertising

    Consumer Products

    Tracking Ads

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    Comparing Value Chains

    Firms Infrastructure

    Inbound

    Logistics

    Human Resources Management

    Technology Development

    Procurement

    Operations Outbound

    Logistics

    Marketing

    And Sales

    Service

    Support

    Activities

    Primary

    Activities

    M

    AR

    G

    I

    N

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    Product Entry Decisions

    Decision R&D Marketing Timing

    First State-of-the- Stimulating Early-entry

    To Market art Primary Demand in the PLC

    Second Advanced, Differentiating Entry Early inTo Market Responsive the Product PLC Growth

    Next Ability in Market Entry During

    to Market Applications Segmentation PLC Growth

    Late Skill in Process Minimizing Selling Entry Late in

    To Market Development and Distribution PLCGrowth Cost

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    Competitive Product Analysis

    Matrix

    Marketing Competitor A Competitor B

    Mix Brand A Brand B

    Product 1 Product 2

    1. Product

    Targeted Segment

    2. Price

    3. Promotion

    Advertising4. Place

    5. Technology Strategy

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    Differential Advantage Analysis

    Capabilities Matrix

    Ability To Firm/Product Own

    A B C Product

    Conceive/Design

    Produce

    Market

    Finance

    Manage

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    Differential Advantage Analysis

    Success Matrix

    Critical Success Firm/Product Own

    Factors A B C Product

    12

    3

    4

    5

    Overall Rating

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    Assessing A Competitors

    Will

    A strong competitor can be overcome

    A weak competitor can cause damage

    Assess:

    How crucial is this product to the firm?

    How visible is the commitment to themarket?

    How aggressive are the managers?

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    Predicting Future Strategies

    Competitor signals with an announcement

    Use historical information to forecast:

    Competitors Strategy dependent

    variableCapabilities and Resource independent

    variable

    Extrapolate that the trend may continueLink Capabilities/Resources with Strategy

    Simulate by Role-Play

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    3. Customer Analysis

    What we need to know about current and potentialcustomers:

    1. Who buys and uses the product?

    2. What customers buy and how they use it?

    3. Where customers buy?4. When customers buy?

    5. How customers choose?

    6. Why customers prefer a product?

    7. How customers respond to marketingprograms?

    8. Will customers buy it (again)?

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    Segmentation Variables for

    Consumer Markets

    1. Who buys and uses the product?

    Demographics

    Age, gender, geographic location

    Socio-graphicsIncome, education, occupation, social

    class

    Personality

    traits ambitious, extrovert Psychographics and Value

    lifestyle activities, interests, opinions

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    Lifestyle Topology

    Who buys and uses it?

    Strivers

    Achievers Pressured

    Adapters

    Traditionalists

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    Value Topology

    Who buys and uses it? Self-respect Security

    Warm relationship with others Sense of accomplishment Self-fulfillment Sense of belonging

    Respect for others Fun and enjoyment Excitement

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    Segmentation Variables for

    Business Markets

    Who buys and uses it? Demographics

    Industry, company size, location Operating Variables

    Customer technology, use status, service Purchasing Approaches

    Structure, power, purchasing criteria Situational Factors

    Size of order, just-in-time delivery Personal Characteristics

    Attitude to risk, loyalty to supplier

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    Benefits

    2. What customers buy and use?

    The Firm Produces Features

    The Customer Purchases Benefits Technology Firms User friendly

    Drill Manufacturer Sells holes, not drills

    Product Manager Understand thebenefits customers are seeking in the

    market segment

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    Purchase Pattern

    What customers buy and use ? Database Marketers use three criteria for

    evaluating and segmenting customers in theirdatabases

    Recency how recently has the customerbought brand?Frequency How many different productsdoes the customer buy, and what are thetime intervals?Monetary Value What is the value of thecustomers purchases in terms of profits?

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    Potential Customers

    What customers buy and use ?

    Continuum Relating to the Product

    UnawareAware

    Accepting Willing to use the product

    Attracted Positive towards theproduct

    Active Buy and/or plan to buy

    Advocates - Encourage others to buy

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    Product Assortment

    What customers buy and use ?

    Different Brands Purchased by the

    Customers for the category in the

    Segments

    Create Switching Tables

    Different Vendors used by BusinessesIndustrial products

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    Use

    What customers buy and use?

    Sweets Festivals

    Rainwear Rainy season Sunscreen Summer

    Customer Suggestions Baking soda to

    deodorize drains Lime juice to clean

    cooking range

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    Channels of Distribution

    3. Where customers buy?

    Customers Migrate to Other Channels

    Specialty retailer to DiscountDiscount to Department Store

    Neighborhood to Superstore

    Small Retailer to Large-Volume retailerBrick-and-Mortar to Internet

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    Timing Issue

    4. When customers buy?

    Sales or Price Breaks and Rebates

    Fast-Food Breakfast, lunch, snack,dinner

    Woolens Winter

    Capital Equipment Near fiscal year end Cold Remedies Before and during winter

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    Customers Compare

    Alternatives

    5. How customers choose? Information

    Media AdvertisementsIn-store personnelWord-of-MouthInternet

    Decision ProcessEmotionalImpulseRational

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    Multi-attribute Model

    How customers choose?

    The process of how customers make

    decisions

    Attributes used by customer to define

    the product

    Perceptions amount of attributes

    possessed by each brand or productin the category

    Importance Weights weights given by

    customer for each attribute

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    Attributes

    How customers choose?

    Identifying the relevant set is not easy

    Managerial judgment alone can cause

    misestimates

    Collect information:

    Focus-Groups

    Survey/Questionnaire Open-ended or

    close-ended

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    Perceptual or Positioning

    Map Bank

    Courteous Personnel

    F A

    DInconvenient

    Convenient

    C B ATMLocations

    Un-courteous

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    Importance Weights

    Direct Questioning

    On a scale of 1-to-7 with 7 being very

    important and 1 not important, how

    important is the attribute .. in your

    purchase decision

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    Decision Making by Manager

    for Each Brand

    Segment 1 Segment2

    Attribute A Weight x Rating =Score

    Attribute B

    Attribute C

    Attribute D

    Segment Score

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    Rules Available to the Product

    Manager

    Compensatory Rule Multivariate Model

    All attributes are considered and

    weakness in one can be compensated for

    by strength in another

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    Lexicographic Rule

    Compares the products on the most

    important attributes alone and eliminates

    those which are not at the top

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    Conjunctive Rule

    Assumes the customer sets minimum

    cutoffs on each dimension and rejects a

    product if it has any attributes below the

    cutoff

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    Conjoint Analysis

    An alternative to weights, conjoint analysis

    permits the product manager to infer the

    importance of different product attributes

    in terms of importance

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    Conjoint Analysis

    Laptops Computers

    Three Attributes

    Weight 1 kg or 2 kg

    Battery Life 2 hr or 4 hrBrand HP or LG

    Task:

    Rank in order the followingcombinations from 1 = most preferred to 8

    = least preferred

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    Customer Response

    Laptop ComputersCombination Rank

    1 kg, 2 hr, HP 4

    1 kg, 2 hr, LG 2

    1 kg, 4 hr, HP 3

    1 kg, 4 hr, LG 1

    2 kg, 2 hr, HP 8

    2 kg, 2 hr, LG 6

    2 kg, 4 hr, HP 7

    2 kg, 4 hr, LG 5

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    Analysis

    Laptop Computers Preference

    1 kg, 4 hr, LG with rank 1 most

    2 kg, 2 hr, HP with rank 8 least

    Average Ranking:

    1 kg option = 2.5 = (1 + 2 + 3 + 4)/4

    2 kg option = 6.5 = (5 + 6 + 7 + 8)/4

    2 hr option = 5.0

    4 hr option = 4.0

    HP = 5.5

    LG = 3.5

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    Difference in the Average Ranks:

    Weight = 4.0 (6.5 2.5)

    Battery Life = 1.0 (5 4)Brand = 2.0 = (5.5 3.5)

    The most important attributes to this

    customer is weight, followed by brand, andthen battery life

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    Customer as Problem

    Solver

    Extensive Problem Solving First-time

    buyers or high-technology products

    Limited Problem Solving Customer

    understands functioning and competitors,

    evaluates on small number of attributes

    Routine Response Behavior routine

    purchases with low or high price tag

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    Customer Value

    6. Why customers prefer a product?

    Critical Component of Customer Analysis

    BenefitCustomers perspectiveCost price, maintenance

    Sources of Customer Value

    EconomicFunctional

    Psychological

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    Manifestation of Customer

    Value

    Pricefirms assessment of the products

    value

    Price Sensitivity sales change with price

    Satisfaction Indicated in surveys used as

    standard practice

    Complaints and Compliments Number

    Word-of-Mouth Difficult to track

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    Margin/Profit Contribution Higher

    margins

    Sales Value assessed by the market

    Competitive Activity New-product

    introductions

    Repeat Purchase Rate High loyalty

    indicates high brand value

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    Assessing Value of the

    Product Category

    Determine the uses of the product

    Estimate the importance of the uses

    List competing products for the uses Determine the relative effectiveness of the

    product category in each usage situation

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    Assessing the Value of he

    Brand/Product/Service

    Assessing the total value of a brand can

    be done indirectly

    A high-value brand has:

    High Market Share

    High Repeat Purchase Rate

    Low Elasticity with respect to PriceLimited Competitive Brand Shopping

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    Using customer responses to estimate the

    value of a brand directly:

    Ratings for competing products

    Constant sum ratings across brands

    Graded paired comparisons

    Conjoint analysis

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    Customer Response

    7. How customers respond to marketing programs

    Sensitivity and Preference Varies by Customer:

    To Price and to means of payment

    Distribution and Availability including the

    effect of

    direct marketing

    AdvertisingPromotion

    Service

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    Assessing Sensitivity

    Expert Judgment using knowledge ofmanagers, sales-force

    Customer Survey including both direct

    questioning and more subtle approachesas conjoint analysis

    Experiments both controlled settings and

    actual market segments Analyses of Past Data across marketsegments or individual customer records

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    Decision to Purchase

    8. Why customers buy it again?

    Critical Issue whether new or current

    customer will purchase the product in the

    future

    Quality Program satisfy and retain

    customers

    Relationship Marketing long-term,

    lifetime, value of a customer

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    Quality - Satisfaction

    Quality is ultimately measure in terms ofcustomer satisfaction

    Satisfaction has a strong relative component

    to qualityAre customers of the product category

    more or less satisfied than those of adifferent but potentially substitutable one?

    Are customers of the companys productmore or less satisfied than customers of acompetitors?

    M t f

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    Measurement of

    Satisfaction

    Three Key Aspects

    Expectations of Performance/Quality

    Perceived Performance/Quality

    The Gap between Expectations and

    Performance

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    Indirect Measures

    Word-of-Mouth Comments

    Complaints

    Compliments

    Repeat purchase or lack thereof

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    Why Satisfaction?

    Leads to Loyalty

    Customer Retention

    Intention to Purchase

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    Satisfied but No Repurchase

    Due to Poor Product Supply

    Variety Seeking or Multiple Sourcing

    Large Promotional Deals

    Unsatisfied but Continue to Purchase

    MonopolyConvenience

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    Segmentation

    Each Customer is Unique

    Mass Marketing is Generic

    Each Customer Strategy

    Time-Consuming

    Not Very Profitable

    Group Customers into Segments A Compromise

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    Insights into Different Kinds of Customer

    Behavior

    Makes Marketing Programs more Efficient

    With IT one-to-one Marketing is Viable

    But Segmentation is the Norm

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    Criteria for Segmentation

    Sizeable

    Identifiable

    Reachable

    Respond Differently

    Coherent

    Stable

    M th d f M k t

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    Methods for Market

    Segmentation

    Simple to Apply, Easy-to-Use software,

    and require Descriptive and Behavioral

    Data

    Cluster Analysis

    Tabular Analysis

    Regression Analysis

    Latent Class Analysis

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    Cluster Analysis

    Examines the values of the variables for

    each respondent , from a sample of

    customers, and then groups the

    respondents with similar valuesPurchase

    Quantity

    Age

    A

    B

    C

    Cluster

    Cluster

    Cluster

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    Phone company employed Cluster Analysisto understand its regional customers

    Six segments based on clustering

    householdsLow Income/Blue Collar Fledglings

    Frugal/Retired Thrifties

    Contended Middle Class Contenteds

    Aspiring M-C Status Seekers Climbers

    TechnologyDriven Strivers Techies

    Contended Upper Middle-Class -

    Executives

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    Industrial-products company segmented itsnational accounts based on trade-offs betweenprice and service to form four segments

    Programmed Buyers small customer, routine

    purchasesRelationship Buyers small buyers, loyal, pay lowprices and obtain high service levels

    Transaction Buyers large buyers, obtain pricediscounts, expect high service levels, switchsuppliersBargain Hunters large buyers, lowest prices,highest service levels

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    Tabular Analysis

    This analysis uses categorical variablesbased on customer responses

    Descriptor Variables related to attitude,

    independent variablesConvenience Oriented

    Enthusiastic

    Disinterested

    Behavioral Variables dependent variables

    Small/Light, Medium, Large/Heavy

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    Regression Analysis

    Is used when the product manager can

    specify an explicit relationship between

    behavioral, dependent variable, and one

    or more descriptor, independent variable However, unlike tabular analysis it

    assumes a continuously measured

    dependent variable, quantity rather thancategory of usage

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    Usage = f (price, convenience oriented,

    enthusiastic, disinterested, low, medium,

    high income)

    Regression performed using regressioncoefficients to represent the regression

    model in an equation form

    U = aP + bC + cE + eD + fL + gM + hH

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    Results may suggest:

    Price sensitivity depends on various

    service characteristics quality, support

    Price responsiveness exists across

    counties and continents segmentation

    based n responsiveness rather than

    country boundaries are useful for globalmarketing

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    Latent Class Segmentation

    Begins with the market as a whole and

    then determines what segmentation

    pattern best trades off few segments and

    the ability to explain behavior The previous methods begin with

    individuals and then aggregate them

    Is recent, intriguing, requires sophistication not widely used

    Judgment Based

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    Judgment-Based

    Segmentation

    Useful because segments are readily

    identifiable and reachable

    Heavy, Light, Non-Users

    Can be used as a basis for comparison

    with results of computer-based analysis

    Segments based on intuition may exist

    only in the mind of a manager and not in

    the market