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6 Customer Analysis
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Page 1: Customer Analysis

6

Customer Analysis

Page 2: Customer Analysis

What Needs to Known about Current and Potential Customers

• Who buys and uses the product• What customers buy and how they use it• Where customers buy• When customers buy• How customers choose• Why they prefer a product• How they respond to marketing programs• Will they buy it (again)?

Page 3: Customer Analysis

Who Buys and Uses the Products

• Initiator -who identifies the need for product

• Influencer -who has informational or preference input to the decision

• Decider –who makes the final decision through budget authorization

• Purchaser –who makes the actual purchase

• User

Page 4: Customer Analysis

Buying Roles and Needs/Benefits Sought

Page 5: Customer Analysis

Categories for Describing Consumers

1. Demographic

2. Socioeconomic

3. Personality

4. Psychographics and values

Page 6: Customer Analysis

Major Segmentation Variables for Consumer Markets

Page 7: Customer Analysis

Major Segmentation Variables for Consumer Markets (cont.)

Page 8: Customer Analysis

Major Segmentation Variables for Consumer Markets (cont.)

Page 9: Customer Analysis

Lifestyle Typologies

Page 10: Customer Analysis

List of Values

1. Self-respect2. Security3. Warm relationship with others4. Sense of Accomplishment5. Self-fulfillment6. Sense of belonging7. Respect from others8. Fun and enjoyment9. Excitement

Page 11: Customer Analysis

Major Segmentation Variables for Business Markets

• Demographic• Operating variables• Purchasing approaches• Situational factors • Personal characteristics

Page 12: Customer Analysis

Major Segmentation Variables for Business Markets: Demographic

• Industry: • Which industries should we focus on?

• Company size: • What size companies should we focus on?

• Location: • What geographic areas should we focus

on?

Page 13: Customer Analysis

Major Segmentation Variables for Business Markets: Operating

Variables• Technology:

• What customer technologies should we focus on?

• User/Nonuser status: • Should we focus on heavy, medium, light

users or nonusers?• Customer capabilities:

• Should we focus on customers needing many or few services?

Page 14: Customer Analysis

Major Segmentation Variables for Business Markets: Purchasing

Approaches• Purchasing-function organizations:

• Should we focus on companies with highly centralized or decentralized purchasing organizations?

• Power structure: • Should we focus on companies that are engineering

dominated, financially dominated, etc.?• Nature of existing relationships:

• Should we focus on companies with which we have strong relationships or simply go after the most desirable companies?

• General purchase policies: • Should we focus on companies that prefer leasing? Service

contracts? Systems purchases? Sealed bidding?• Purchasing criteria:

• Should we focus on companies that are seeking quality? Service? Price?

Page 15: Customer Analysis

Major Segmentation Variables for Business Markets: Situational

Factors• Urgency:

• Should we focus on companies that need quick and sudden delivery or service?

• Specific application: • Should we focus on certain applications of

our product rather than all applications?

• Size of order: • Should we focus on large or small orders?

Page 16: Customer Analysis

Major Segmentation Variables for Business Markets: Personal

Characteristics

• Buyer-Seller similarity: • Should we focus on companies whose

people and values are similar to ours?

• Attitudes toward risk: • Should we focus on risk-taking or risk

avoiding customers?

• Loyalty: • Should we focus on companies that show

high loyalty to their suppliers?

Page 17: Customer Analysis

Key Segmentation Variables Used in Direct Marketing Campaigns in

Europe

Page 18: Customer Analysis

Multiattribute Model Questions

1. Which attributes do customers use to define a product?

2. How do customers determine how much of each attribute a brand possesses?

3. How are the importance weights determined?

4. What decision rule is used to combine the information?

Page 19: Customer Analysis

Bank Perceptual Map

Courteous personnel

Convenient ATM locations

A•

D•

B•

C•

E•

Page 20: Customer Analysis

Sources of Customer Value

• Economic:• The economic benefit a customer derives from

using a product• Functional:

• Those aspects of a product that provide functional or utilitarian benefits to customers

• Psychological: • The image of the product, including how the product

“feels” and whether that feeling matches the image the customer wants to project

Page 21: Customer Analysis

Measuring Brand Equity1. Awareness:

Being aware of a brand is usually a requirement for its purchase and tends to lead to more favorable opinions by reducing the risk associated with a familiar option.

1. Associations: Images related to overall quality as well as specific product attributes and user characteristics affect the reaction to a brand.

1. Attitude: Overall favorability toward a brand is a critical part of brand equity.

1. Attachment: Loyalty to a brand is the strongest type of equity, and most beneficial for sellers.

1. Activity: The strongest fans of a brand become advocates.

Page 22: Customer Analysis

Manifestations of Customer Value• Price.

• Price is the company’s assessment of the product’s value.

• Price sensitivity. • A product with constant sales when prices increase generally is of greater

value than one for which demand slumps.

• Satisfaction. • Survey-based satisfaction measures are standard practice in my business.

• Complaints and compliments. • The number of complaints or compliments the company receives indicates

the product’s value.

• Word-of-mouth. • Although often difficult to track, spoken and written comments provide a

useful subjective assessment of a product’s value.

Page 23: Customer Analysis

Manifestations of Customer Value cont.• Margin/profit contribution.

• Generally, higher margins indicates partially monopolistic positions due to greater communicated value.

• Rupee sales. • Total rupee sales provide an aggregate measure of the value of a

product as assessed by the market.

• Competitive activity. • Competitive activity such as new-product introductions indicates that

the total gap between customer value and company costs is sufficiently large to allow for profits even when more companies divide the market.

• Repeat purchase rate. • High loyalty indicates high brand value.

Page 24: Customer Analysis

Assessing the Value of the Product Category

1. Determine the uses of the product

2. Estimate the importance of the uses

3. List competing products for the uses

4. Determine the relative effectiveness of the product category in each usage situation

Page 25: Customer Analysis

Personal Computer Product Category Value

Page 26: Customer Analysis

Dollar Metric Example: Soft Drink Preference

Page 27: Customer Analysis

Desirable Criteria for Segments

• Sizeable• Identifiable• Reachable• Respond differently• Coherent• Stable

Page 28: Customer Analysis

Cluster Analysis Illustration

Page 29: Customer Analysis

Cluster Analysis: Phone Company Market Segmentation Scheme

Page 30: Customer Analysis

Raw Data: Cranberry Sauce Usage

HeavyHeavyUsersUsers

Medium Medium UsersUsers

Light Light UsersUsers

Total Total

(row marginal)(row marginal)

Convenience oriented 81 144 74 299

Enthusiastic cook 97 115 45 257

Disinterested 35 108 127 270

Decorator 45 96 37 178

Column total(marginal)

258 463 283 1004

Cooking Attitude

Page 31: Customer Analysis

Cranberry Sauce Usage Percentages

Cooking Cooking AttitudeAttitude

Heavy Heavy UsersUsers

Medium Medium UsersUsers

Light UsersLight Users

Convenience oriented:Row %Column %

27%31

48%31

25%26

Enthusiastic cook:Row %Column %

3838

4525

1816

Disinterested:Row %Column %

1314

4023

4745

Decorator:Row %Column

2517

5421

2113

Page 32: Customer Analysis

Cranberry Usage Data by Person

Page 33: Customer Analysis

Customer Analysis Illustration: Energy Bars

• Who the Customers are:• 63.7 percent of volume is from households with

greater than Rs.40,000 income• 32.4 percent of volume is from households with

greater than Rs. 60,000 income• 72.8 percent of volume is from households with no

kids• 65.8 percent of volume is from households where

the Head has some college education• 39.4 percent of volume is from households with

the Head under 35 years old

Page 34: Customer Analysis

Percent Who Have Eaten Energy Bars in the Last Six Months

Female 20%

Male 18%

65 and over 12%

55-65 10%

45-54 20%

36-44 21%

25-34 21%

18-24 27%

Page 35: Customer Analysis

Customer Analysis Illustration: Energy Bars

• Customer Segments:• “Hard-core Athletes”• “Musclemen”• “Dieters”• “Health Purists”• “Health Conscious and On-the-Go”• “Sports Enthusiasts”• “Specialty Segments”• “Nutrition-seeking Families”

Page 36: Customer Analysis

Customer Analysis Illustration: Energy Bars (cont)

• What They Buy:• Convenience• Taste• Texture• Health Benefits• Performance/Energy• Hunger Satisfaction• Price (expect to pay $1.00 to $1.50 per bar)• Packaging/Buy In Bulk• Availability

Page 37: Customer Analysis

Customer Analysis Illustration: Energy Bars (cont)

• What Use For:• Meal Replacements• Snacks• Athletic Energy Booster

Page 38: Customer Analysis

Customer Analysis Illustration: Energy Bars (cont)

• Where They Buy:• Health Food Stores• Outdoor Retailers (e.g., REI)• Grocery Stores• Drug Stores• Convenience Stores• Mass Merchandisers• Club Stores

Page 39: Customer Analysis

Customer Analysis Illustration: Personal Digital Assistants

• Who the Customers Are:• Primarily upscale mobile professionals• Predominately male• Analytical and quantitative in nature• Well educated• Over 21 years of age

Page 40: Customer Analysis

PDA Market SegmentsSegment Size Characteristics Distinctive Attribute

Wide Area Wide Area TravelersTravelers::

Globetrotters 10% Age 45-54; mostly male; employed in senior positions

Innovators, have modems installed in their portable PCs

Road Warriors 20% Mostly in corporate management and sales, property management and real estate

High cellular phone usage

Overall computer usage lower than for other mobile pros

Corporate Wanderers

12% Travel less than Globetrotters or Road Warriors; spend most time visiting employees within their own companies

Employ portable PCs least

Heaviest fax users (on PCs)

High e-mail users

Longest owners of cellular phones

Page 41: Customer Analysis

PDA Market SegmentsSegment Size Characteristics Distinctive Attribute

Local Area TravelersLocal Area Travelers

Collaborators 8% Age 25-44

Well educated young professionals, tend to hold advanced degrees

Team leaders, project managers

Innovators

High use of pagers (20% of segment)

Not very mobile but need mobile products

Corridor Cruisers 15% Similar profile to Collaborators Not as likely to adopt new products as Collaborators

Hermits 8% Least mobile;

Youngest segment (many under 35)

Seldom work with others

Mostly finance and telemarketing

Heavy e-mail users

Virtually all are PC users but not portable users

Solo Practitioners 16% Like Hermits but older

Diverse collection of technical professionals in small to medium-size companies

Typically connect to corporate network when traveling

Highest connect times of any group

Small-Site Bosses 11% Run small business Highest portable PC purchase intention in next 12 months; shifting to portable PC as primary computer

Page 42: Customer Analysis

Customer Analysis Illustration: PDAs (cont)

• What They Buy:• Small size/light weight• PC connectivity• E-mail communications capability• Phone/address book• Appointment book/calendar/alarm• One-way paging

Page 43: Customer Analysis

Important PDA Functions

Page 44: Customer Analysis

Customer Analysis Illustration: PDAs (cont)

• Where They Buy:• Buy lower-priced, low feature devices from

consumer electronics stores and office supply superstores

• Higher-end PDAs are purchased from computer stores, through mail order, or via the Internet

Page 45: Customer Analysis

Summarizing Customer AnalysisSegmentA B C D

DescriptorsWho they areWhat they buyWhen they buyHow they buyWhy they buyHow they respond to marketingWill they buy in the future?

DescriptorsUnawareAwareAccepting (considering)Attracted (like it)Active (current customers)Advocating (recommend it)Lifetime Value