Wk4 Customer Analysis
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Transcript of Wk4 Customer Analysis
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` Know the goals of and steps in customer research.
` Know the relevance and process of segmentation.
`Apply basic models in measuring customerperceptions.
` Know the advantages and limitations of qualitativeand quantitative research.
` Be able to trace secondary sources of customerdata.
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` Customer research can be used for different
purposes
` Distinctions are often based upon the type ofresearch being conducted Exploratory: Qualitative research
Descriptive: Quantitative research
Causal: Experiments
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` There are four usage situations or goals of the
customer analysis
Use forsegmentation and choice ofthe targetmarket
Use as a basis forstrengths and weaknesses
research and positioning decisions
Use to check achieved results and to measure theeffects of marketing mix elements
Use to identify competitors
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Goal of customer analysis is information
for
Required data from
primary research
Type of research
Segmentation and choice of target market Who, what, where,
when, why
Quantitative
Positioning and strengths and weaknesses Value hierarchy and
customer
satisfaction: why,
why not?
Qualitative and quantitative
Analysis of results (control) and research on
effects
Why, why not, e.g.,
brand awareness,
brand associations,customer
satisfaction
Quantitative
Competitor analysis and competitors Who, what, why, why
not: chosen brand
Quantitative
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` A segmentis a group of potential customers` Researching segments relates to the first dimension of
the marketing strategy Choosing a target market ortargeting
` If the following four conditions are met the segment
maybe considered Homogeneity/heterogeneity Sufficient size Measurable/identifiable Accessible
` Only quantitative research can provide insight into theseconditions This type of research involves collecting a large quantity of data
from a large number of people
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` Segmentation analysis is divided into three
phases
Collection of the data tools such as in-depth interviews and group discussions
with customers followed by structured questionnaires are
used to obtain as much insight as possible into the
motivations, attitudes, and behavior of the customers
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` Phase two is theAnalysis of the Data Forward Segmentation customers are classified on
the basis of personal characteristics; subsequently,differences between groups in terms of product and
brand characteristics are examined
Backward segmentation This process starts with
groups of customers that demonstrate different
behavior in relation to the product or brand;subsequently a search is made for general
characteristics that can be used to describe the groups
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Category Sub category Variables
Personal (general) 1. Geographic data y Region
y Province, municipality
y Degree of urbanisation
2. Demographic data/ socio-economic
datay Age
y Gender
y Family size
y Family phase
y Religion
y Race
y
Income
y Profession
y Education
y Social status
3. Psychographic data y Lifestyle (Activities, Interests, Opinions)
y Personality
y General values
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Category Sub category VariablesProduct (category) 1. Benefits y Benefits sought = product-specific
values
y Importance of product
characteristics
(price, quality, taste etc.)
2. Purchasing behaviour y Role in decision-making process
(Initiator, Influencer, Decision Maker)
y Buying process
y Buying/Shopping behaviour
3. Usage behaviour y User status
y Usage situations
y Values in usage situations
y Usage amount (light, medium, heavy
users)
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Category Sub category Variables
Brand 1.Brand awareness and attitude y Towards own brand:
- stage in purchasing process
(awareness, attitude, intention,
purchase)
y Towards competitive brands
- consideration set
2. Brand associations
(perceptions)y Own brand
- strength
- relevance
- uniqueness
y Competitors brands
3. Brand loyalty y Behaviour
- customer share (share of wallet)
- switching behaviour
y Emotional
- recommendation: ambassador, fan
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Category Variables
Demographic Industry sector
Company size
Location
Usage variables Technology (required technology at the customer level)
Usage status (heavy user, light user, none)
Customer capacities (need for service)
Purchasing approach Purchasing organization (centralized, decentralized)
Po er structure (technically oriented, financial, etc.)
Types of relationships (strong, eak)
Purchasing policy (leasing, service, systems, etc.)
Purchasing criteria (quality, service, price, etc.)
Situation-related factors Urgency of delivery
Applications of delivered product
Size of order
Personal characteristics Degree of similarity to supplier
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` Behavior analysis is often based on differences
in the importance customers attach to certain
product attributes or benefits
This form of segmentation is also called benefitsegmentation
Typically two analysis techniques are used for benefit
segmentation
x Factor analysis is used to reduce the data set to a smaller
number of factors
x Cluster analysis is then used to create segments that are as
differentiated from one another as possible
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` The third phase of the segmentation research
process is the description of segments a profile is created for each discovered segment,
based on the scores for the examined variables
The focus is on identifying the most distinguishing
characteristics of the segments, and for identification
purposes, each segment is given a name
Since markets change, the segmentation phases
should be repeated regularly
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` Before research on customer wishes can beestablished it is important to have an idea of whatcustomer wishes are
` Three models can be utilized here Multi-attribute attitude model
Chain of meanings
SERVQUAL model
` These should be viewed as conceptual models
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` This model shows that the value a customer extractsfrom a product is determined by the importance that
customer attaches to certain product characteristics andthe scores of brands on these characteristics
` As the model name suggests, the scores on manycharacteristics lead to the total judgment or attitude
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` This model states thatit is important to knowthe motivation ofpeople to buy
products` The model is a
combination of twoother models:
Goal-means chain ofmeanings
Customer value model
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` Thi l i t r r i lit
` The entr l i e in ing thi el i that thealit f er i e i efinedas thedifference
et een theexpectedser iceand the reali edser ice
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` The SERVQUAL model has identified a numberof dimensions of service quality: Reliability: the extent to which the provider keeps his
or her promises
Security: how sure a customer can be that his or herexpectations are being met (trust in the provider)
Tangibility: all tangible items of a service, such asleaflets and the atmosphere in a bank
Empathy: the degree to which the provider puts itselfin the position of the customer
Responsiveness: willingness of the provider to listento the customer and do what the customer wants
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` Measurement of service quality can be done bymeasuring the expectation of the customer aswell as the realization
Expectation is measured as what the customer wouldideally want apart from the specific provider
The wishes of the customers are never stable and thatcustomers constantly have to be taught what they canand cannot expect
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` Determination of target audiences
` Determination of possible values per target
audienceUsage situations: Where and when is the productcategory used?
General values per usage situation: What is
important in that situation, and why are you in that
situation?
Product-specific values per usage situation: What is
important in those cases in the product category?
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` Determination of the importance of values Importance of general values (general needs):
Importance of product-specific values (product-specific
needs): How important is?
` The importance a customer attaches to a
certain value makes a statement about that
customers needs
` A competitive advantage can be obtainedfrom a characteristic that customers
consider important
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` One method for researching the importance ofcustomer values is to ask directly about theimportance utilizing a rating scale
There are two disadvantages to this methodx Customers often indicate that the consider everything
important
x Customers have a tendency to think concretely: tangiblecharacteristics are often mentioned as being important but in
reality the abstract images are just as important
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`A second method for researching the
importance of customer values is the conjoint
analysis
This method is used to define the importance ofproduct characteristics through a deductive reasoning
process
` The advantages of conjoint analysis is that: The choice process of customers is imitated and
The respondents have to consider implicitly which
characteristics they consider the most important
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` Performance of brands regarding values anddistinctiveness Satisfaction: perceptions of brand performances,
reasons why or why not
Scores and distinctiveness regarding general values:To what extent is brand X a brand that possesses theabstract characteristic . . . ? To what extent is that adistinguishing feature?
Scores and distinctiveness regarding product-specific
values: To what extent is brand X a brand thatpossesses the tangible characteristic . . . ? To whatextent is that a distinguishing feature?
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` The measurement of brand associations can bedone through both qualitative and quantitativemethods Qualitative methods include
x The direct association method: With what do you associatebrand A?
x Projective techniques: indirect methods such as indicatingmatching photographs or describing the brand as a person witha character
A goal of qualitative analysis is to gain insight into thesatisfaction of consumers and especially into theunderlying causes of the extent of that satisfaction
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` A valid method for obtaining such perceptual maps
is the technique of multidimensional scaling (MDS) In MDS, brands, characteristics, and ideal points (wishes)
of users are conveniently arranged in one figure through
the use of a statistical method that employs simple
questions for respondents to answer
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LabadiLa Palm
AlisaTulip
Maple Leaf
Novotel
Expensive
Less Expensive
High ServiceModerate ServiceCoco nut Groove
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` MDS has several important advantages as a researchmethod The results ofMDS (graphic representations of the positions of
brands) are easily understood, making it an excellent
communication tool for positioning decisions MDS makes it possible to use more than two dimensions. The
dimensions on which people judge a brand are placed in thefigure as vectors
The positions of the brands in the coordinate system space arehard; that is, they have been calculated according to aquantitative method
The method of data collection in MDS is true to life: Respondentsare asked to compare brands as a whole with each other just asthey do in a shop, and only afterward are the characteristicsplaced in the figure
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` This is a simple tool that graphically representsboth tangible and abstract brand characteristicsconveniently
` Conducting measurement research creates insight
into the strengths and weaknesses of a brand
It is important to distinguish between customers andpotential customers
x Potential customers often perceive a brand differently thancustomers
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` Having a direct insight into what customers willconsider important in the future is more important thanknowing what customers consider important currently
` The following steps should be taken to arrive at a
prognoses for future customer values Aside from customer research, consult sources about trends in
customer wishes such as sellers, researchers, consultants,and other experts
Analyze the tracking data and attempt to link any changes incustomer values to factors such as economic fluctuations and
social-cultural developments Discuss the data from the customer analysis, the other
sources, and the companys self-analysis in brainstormingsessions to arrive at prognoses collectively
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` Primary data are data that the organizationcollects by itself through fieldwork
` In doing primary research the following choiceshave to be made:
Choice of the target audience (who?)
Desired information and choice of quantitative orqualitative research (what?)
Structure (how?):x Data collection
x Sampling
x Method of questioning
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` Quantitative Research isperformed on a large numberof people
` This creates harderconclusions
` Differences betweensubgroups can be madevisible
` This type of research is morefactual in nature
` Qualitative Research consistsof personal interviews withindividuals
` This type of research seeks toprovide answers to:
Strategic market description Consumer decision-making
behavior
Customer satisfaction
Communication research
Idea generation
Development of products andconcepts
Development of a quantitativequestionnaire.
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` Customer research alwaysstarts with qualitative research An inventory of potential
problems is obtained and
information is collected` Quantitative research may
follow to gain insight intowhether or not goals wereachieved
` This maybe followed by a
deeper qualitative analysis todetermine the cause or causesof the problems
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` In many countries market research agencies
collect quantitative data that are very important
in the context of consumer marketing
` Two types of data sets (and agencies) can bedistinguished: Agencies that collect quantitative data, including
consumer purchasing behavior.
Agencies that are involved in collecting data onhouseholds (such as prosperity and lifestyle) for
direct-marketing objectives.
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` The databases of Nielsen, IRI and GfK may beused for markets offast-moving consumer
goods` These databases contain weekly data regarding
sales, price, distribution, and promotions
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Customer Analysis Mainly conducted via marketresearch ( primary and secondary research)
Main objectives of customer analysis:
Identifies segments;
Marketing position ( via values hierarchy research);
information for measuring performance (customer
satisfaction, brand performance etc;
Insights into customer perception of competition.
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` Chapter Five Industry Analysis Know the differences between and the goals of an
industry analysis and a competitor analysis
Know the components of an industry analysis
Realize that a Porter analysis is only part of an
industry analysis, which in turn is part of an external
analysis
Be able to perform a macro environmental analysis for
a company Know how to assess the attractiveness of a market