Product Management 2009 Dr. Jagrook Dawra
1
• Base Line: “Worn out Jeans”
•
Agency: Enterprise Nexus
2
• Base Line: “Shreds from Killer”
•
Agency: Enterprise Nexus
3
•
Subhead: Live Life in Xs. XDart Jeans
•
Bodycopy: “With hep X-darts across the front. A distinctive finish. Deeper dye. Tight construction. Zero shrinkage. And an incredible signature colour.”
•
Baseline: “Founded Kansas, USA, 1989.”
4
• Headline: “Atleast the Jeans are a perfect fit”
•
Agency: Grey Worldwide
5
• Headline: “In 7.8 seconds, I dropped weight! And added Curves” • Bodycopy: “I just zip up once a day. No gyms. No diets” •
Agency: JWT 6
• Headline: “Red Loop” • Subhead: “U in the loop as Yet?”
• Agency: JWT
7
• Subhead: “Sandblasted denim jacket with engineered pocket detailing and anthra tint. # JKM-622 Basic white cotton linen shirt. Basic five-pocket jeans with flared hem. # JSM-269 antique blue sandblast.” 8
• Headline: “Renewed 300% Extra Style” • Bodycopy: “Classic Designs. Renewed with 300% extra Style”
•
Agency: ANC
9
Session 1: Introduction • Can you identify the basis of differentiation of the jeans brands on previous slides?
10
• Basis of differentiation: – Emotional – Rational
11
Focus of different managers in the marketing team • Brand Manager– – – – –
Awareness Brand Associations Quality Perceptions Brand Loyalty Brand Personality
• Product Manager: Attributes and their levels – New product development
• Sales Manager – Selling – Sales team management
• Advertising manager – Creating a communication message in order to communicate the position of the brand vis-à-vis its 12
Some questions that product management seeks to answer • Why does a consumer buy a product A rather than a product B? • What features/aspects of the product are valuable to customers? • What are the trade-offs that a customer make while buying a product? • How much is a consumer willing to pay for a new feature of my product? • What is the set of attributes that will maximize consumer choice? …
13
… • What are the benefit segments in the market place? • What should the product line be to satisfy the desires of the benefit segment? • If my firm offers a product A and prices it Rs. 20.00 and the competitor offers a product B and prices it Rs. 15.00, what is the likely market reaction? • What is the demand for a new product going to be? How can I maximize it? • How can I estimate the demand for a new-to-theworld product? 14
Brand equity: Preference Emotion al Ration al
Bundle of Attributes
Preference due to Attributes
Brand
Preference due to Brand
15
• Is the basis of differentiation (rational vs. emotional) dependent on the type of product category? • What products are more likely to be sold on – Rational basis (Attributes)? – Emotional basis (Brand)?
16
Customer Focused Product Planning Our marketing actions Product, price
Customers
Competitor’s actions Product, price
Customer preferences
Customer Choices
Multi-attributed view of products (Attribute
Market shares Sales Profits 17
Multi-attributed view of products
18
Multi-attributed view of products
19
• Overall preference for a product= preference for attribute 1 + preference for attribute 2 + preference for attribute 3…n • Overall worth = sum of part-worths • Conjoint: considered jointly • Part-worths correspond to a single respondent. 20
Part-worth function model
21
Part-worth function model
22
Which of these products would be more preferred?
More preferred
23
• Typically many factors or attributes are included. • Factors/ Attributes often include price and brand name.
24
Deciding attributes • Related to consumer choice (based on qualitative market research like FGDs or Interviews) • Distinguish different product offerings. • Managerially relevant.
25
Deciding Levels of Attributes • Distinct, mutually exclusive, and collectively exhaustive. • Cover a range of interest (no extrapolation) • Try to keep the range of levels small (say 3 per factor) and equal across factors
26
Mo-bike Pump
27
28
Designing conjoint cards • 4 attributes, 3 levels each. 3 x 3x 3 x 3 = 81 possible cards (too many) • Choose a representative subset of say 18 cards. • Fractional Factorial design (conjoint designer software given to you)
29
• Arrange the 16 cards given to you in order of your decreasing preference. Keeping the most preferred card on the top. • Also arrange the 4 shaded cards in the order of decreasing preference. • How did you do it?
30
Next Class • Case: Sunbeam
31
32
33
Consumer choice • Choice Share • Market Share
34
Airstick makes a change
35
What would happen if a new company Relistick were to
36
Case 1: Sunbeam
37
Brand Line
HLL
Breadth D e pt
Product Line
Brand Family
Brand 38 Portfolio
Redesigning of product lines • Mature • Redesign the product lines to make them more responsive to needs and dictates of its markets. • To optimize market share of each product category. • Goals: – What models should be in the line? – What should their physical appearance be? – What should their performance characteristics be? 39
Process • Consumer usage and attitude survey. • Consumer attribute and benefit survey. • A conjoint analysis survey. • Product line simulations.
40
• What were the different attributes of a food processor that were considered? • What were the levels of these attributes? • How many distinct processor combinations are possible with these attributes and levels? • How many were chosen for the 41
• Mathematics behind Conjoint – Linear Programming. • Was there a qualitative study that preceded the conjoint study? What was the major objective for this study? • How were the huge number of configurations reduced to 27? 42
• What data was collected? • What was the relevance of each data item to the study? • How was the data collected? • Notice how the job of sorting was made easy for the respondents.
43
• What were the important attributes? • What is the benefit of having importance data? • What were the segmentation results? • How do you think they were found out? • Simulations?
44
• What makes you say that the results of the exercise were valid (or not valid)? • What is base case simulation? • Assumptions during simulations. • Simulating “what if” scenarios. • What is the benefit of simulations? • How reliable are these simulations? 45
How does the software estimate this? • Uses linear programming • E.g. Card 11 > Card 7 • S(bookbag) + T(10 min) + E(Medium) + P(500) > S(bookbag) + T(0.5 min) + E(Difficult) + P(2000) • 18C2 = 153 such pairs • S(bookbag) + T(10 min) + E(Medium) + P(500) = S(bookbag) + T(0.5 min) + E(Difficult) + P(2000) + Z1
46
Deciding attributes • Related to consumer choice (based on qualitative market research like FGDs or Interviews) • Distinguish different product offerings. • Managerially relevant.
47
Deciding Levels of Attributes • Distinct, mutually exclusive, and collectively exhaustive. • Cover a range of interest (no extrapolation) • Try to keep the range of levels small (say 3 per factor) and equal across factors
48
Designing conjoint cards • 4 attributes, 3 levels each. 3 x 3x 3 x 3 = 81 possible cards (too many) • Choose a representative subset of say 18 cards. • Fractional Factorial design (conjoint designer software given to you)
49
• Assignment
50
Designing Cards
51
Estimating part-worth utilities • Using Linmap • Estimated for each respondent • Enter data in a notepad in the following format – RES1 6 4 15 9 5 8 16 10 13 2 3 11 7 14 12 1 20 19 18 17
• Change the extension from .txt to .dat 52
Assignment 2 • Rearrange the cards and rank order them. • Input them into a text file and change its extension from .txt to .dat • Check for mistakes using the program checkdat.exe • What is the factor that you laid most importance on? Is it consistent with your findings from the analysis? • Use Linmap.exe to get utility curves and misorders • Input the data of your friends. • Use linmap.exe to get group utility curves. 53
Caution… • Adding (or subtracting) the same constant to all partworths of an attribute does not alter the relative values of overall preference. • The fact that part-worth for 0.5 min is positive and 10 min is negative does not mean that the respondent ‘likes’ 0.5 min and ‘dislikes’ 10 min. zero point on the partworth scale is arbitrary. • It is not meaningful to compare the part-worth of the level of one factor with some partworth of some other factor. • Units of measurements are arbitrary. Transformations can be done. But they should be done to all partworths of all attributes.
54
Other simulations and analyses • Sensitivity of market share to other product attributes. • “Optimizing” product bundle • Competitive price reactions • Price equilibrium calculations • Product line simulations • Competitive product improvements • Entry of new competitive products • Cross tabulation of results against different segments
55
Word of caution • Market Share vs. Profits • Run simulation for different concepts. • Estimate costs of tooling/ manufacturing each concept. • Compare profitability of alternative concept.
56
Limitation of Conjoint Attribute list is not complete. Aesthetics, smell, taste, etc difficult to capture. Measurement, sampling errors are present. Does not include the effect of an innovative attribute or level. • How much does a consumer really value an attribute? • • • •
– May vary from time to time and situation to situation.
• Cannot be used when the product category is so radically new that customers don’t even know how they may use the product. • Cannot be used in image driven, holistic products (e.g. perfumes, paintings) • Full profile conjoint does not take into effect the interaction effect between attributes. • Gilligan Island Syndrome 57
Primary uses of conjoint • Product line planning • New product evaluation (concept testing) • Competitive analysis • Pricing • Benefit segmentation
58
New developments in conjoint • • • • • • • • •
Full profile conjoint Regression based conjoint Trade – off tables Paired comparison Self explicated conjoint Hybrid methods Choice based conjoint Adaptive conjoint HB Conjoint 59
Brand equity • Preference for the attribute “Brand”
60
Some suggested products for your projects • Hostel mess food. • Hostels • Students activity clubs • Mobile phones • Mobile services • 2 wheelers • Cars • MP3 players
• • • •
Electric irons Computers i-phone Students canteen
61
Case 2: Clark material handling
62
Segmentation
63
Segmentation • What is the relevant basis for segmentation in product management? • Benefit Segments
64
Benefit SegmentsComputers* • The Germans – “We want the best” • The Indians – “We want the best today and tomorrow” • The Taiwanese – “We want it cheap with a name” • The Americans – “We want service too” *Customer-focused product planning: Personal Computers in India Jagrook Dawra, Kanupriya Katyal, Vishal Mishra,
65
Cluster Analysis • Segment.exe • SPSS/ SAS • Basis: – Euclidian distance
66
How many segments?
• Dendogram – How many cluster? • 27? 4? 2? 1?
67
How many clusters?
• B= between segment variation • W= within segment variation • K= no. of segments • N= sample size • tr= trace of the matrix • Tr[B]= variation summed
68
• What are the benefit segments that you have got for bicycle pump? • What are the advantages of benefit segmentation? • How is it relevant to product management?
69
Product planning in different Shorter inter-purchase cycle Lower prices, “softer” attributes
70
Product planning in different product Shorter inter-purchase cycle categories Lower prices, “softer” attributes
71
Multidimensional Scaling: Perceptual mapping
72
MDS Map (Mental map) Going to church
Outside Oriented Doing voluntary service
Going to a beauty parlor
Famil y
Baking a cake
Sunbathing
Powdering the baby
Person al
Relaxing in a bath Using a room freshener Using fabric softener
Wearing soft clothes Smelling flowers
Windows to air out the room Cooking dinner
Home Oriented
Smoothening on a hand lotion
Moisturizing face with a cream
73
Typical MDS questionnaire
74
• Brands may also form a part of the attributes. • SPSS or SAS may be used.
75
Exercise • Eg. Toothpastes – Germ killing – Fresh breath – Calcium – Strong teeth – White teeth – Colgate – Close up – Pepsodent 76
77
How does rotation of axis help in MDS
78
PRODUCT DEVELOPMENT
79
• Product Design • Product Innovation
80
Idea generation
Is the idea worth considering?
Idea screening
Concept development and testing Which of the alternative products would customers be willing to try?
Marketing strategy development
D R O P
Is the idea compatible with the company’s objectives strategies, and resources?
STP, 4 Ps
Business Analysis
Will this product meet our profit goal?
81
Product development
Market testing
Send the idea back for product Development?
Commercialization
Modify the product or marketing Program?
Have sales met the expectations?
Are sales meeting the expectations?
D R O P
Is the product technically and commercially sound?
82
Generating new ideas • The largest single hurdle to new product development is the paucity of Ideas!!!
83
Idea Generation Techniques
Attribute listing •Forced relationships •Morphological analysis •Reverse assumption analysis •New contexts •Mind mapping •
84
Attribute listing • List features of a product and improve each and every feature oneby-one. – Improving patient experience.
85
0min
2-
1min
6-
86
Some solutions
87
Forced Relationships • While on the move a person needs to: – Stay connected – Listen to music – Stay organized – Know where (s)he is – Capture interesting instances – Etc…
88
Morphological analysis • Identify need • Designing a storage cabinet for Children – Ikea
89
90
91
92
93
Reverse assumption analysis • Consumers have very strong assumptions – High price means high quality – High power means low safety – High power also means low fuel efficiency – Something user friendly is for amateurs only. – Anything that tastes good must be oily/ cheesy (not healthy)
• Subway 94
New contexts • Washing machines
95
• Toilet papers – Mexico
Mind Mapping
96
Creativity imperatives • Small is the new big – God is in the details.
• Empathy – Person out vis-à-vis Organization in
• Finding yourself in the margins – Seeing things afresh – Having a beginners mind.
• Pick battles big enough to matter, small enough to win.
97
Categories of New Products • • • • • •
Cost reductions Repositionings Improvements to products Additions to product lines New product lines New-to-the-world
98
A framework and terminology for thinking about and discussing projects. •
Scope Team size Budget Duration, etc
BREAKTHROUGHS Completely new products Building products and process capabilities for
PLATFORMS Integrating new and existing components and processes into a Systems solution. DERIVATIVE Incremental change to existing platform or process
MAINTAINENCE Minor modifications: Product
99
Less
Process change
More
More
Product change
BREAKTHROUGH Completely new Product and Processes required Creativity
Less
Ri sk
PLATFORM Systems solution to a product challenge. Crossfunctional DERIVATIVE Develop- Incremental change ment to existing product Re required One or two tu functional rn MAINTAI s NENCE Sustaining Routine processes 100
101
Readings for the next class Case: Kirkham instruments 01 Conjoint note 02 Perceptual maps 03 christensen 03 enlightened experimentation 03 new product commercialization mistakes • 03 new product development imperitive • • • • • •
102
Forecasting Penetration “The art of prophecy is very difficult – especially with respect to the future” - Mark Twain
103
Forecasting for existing products – Trend analysis – Moving averages – Exponential smoothing techniques – Time series analysis – Advanced econometric models • ARMA, ARIMA, Box-Jenkins, etc.
• All the above techniques need past data to predict!!!
104
How do you forecast for a newto-the-world product? • “The world has a potential market of five computers” – Thomas Watson, Chairman IBM
• There is no past data available!!
105
Why do we need to predict penetration of new-to-the• Total market potential – Capacity of the plant
• Rate of adoption – Investment decisions
• Arvind mills • Kellogs, India
106
107
Forecasting new-to-theworld products
108
How do you forecast for a newto-the-world product? • Diffusion Models • Bass Diffusion Model – Predict penetration based on the sales of a similar product.
109
m = market potential = maximum number of consumers who will eventually adopt •p = parameter denoting innovative tendency to adopt. •q = parameter denoting imitative tendency to adopt •Y t-1 = cumulative sales at t-1 •
Ft-1 = fraction who have adopted at the end of
•
110
111
112
113
Estimation
114
• Calculate values of m, p, q for different products meant for different customer segments. 115
116
Example: Satellite radio • Calculate market size (m) – Through an elaborate market research involving 80 questions, 6000 respondents. – 30 million
117
Calculating p and q by analogy Decide criteria to similarity of to the new product Step Establish Step2: 1: Identify obtain scores some p establish and onpbasis products/ q for of thesimilarity products markets/ from segments the new previous product similar to after the Calculate final weighted and to existing research products and give weights. New-to-the-world thorough studies product q
Calculate a weighted score using the method given below
118
m = market potential = maximum number of consumers who will eventually adopt •p = parameter denoting innovative tendency to adopt. •q = parameter denoting imitative tendency to adopt •Y t-1 = cumulative sales at t-1 •
Ft-1 = fraction who have adopted at the end of
•
119
120
•
To be able to do the exercise, you need to read: •
•
•
“Forecasting the adoption of a new product” example on page 6 to 8 The exercise on e-books can be done on the same lines as the above example.
Market potential (m)
= 111.3 M households X 67.8%internet penetration X 28% consumers who read recreational material on e-book device •
•
=21M 121
122
123
124
125
Nestle Contadina BASES Model
126
Johnson wax
127
Test marketing using ASSESSOR • Objectives: – To test the potential of the new product (acceptability, market share) – To test the effectiveness of proposed marketing strategy (advertising, positioning, trial rate, repeat purchase rate, etc.)
• Key decision to take: – Should the product be launched? – Should the attribute(s) of the product be changed? – Does the marketing program require any change?
128
ASSESSOR: 5 Tests 1. 2. • 6. 7. 8.
Initial Questionnaire – evoked set Preference questionnaire – Conjoint Ad was shown Ad recall Laboratory purchasing Brand ratings
129
1. Results: Market structure – What were the factors that emerged? – How were these factors arrived at? – How was enhance positioned? – How was agree positioned? – Was cannibalization likely?
130
131
2. Results: Advertising Recall • What is recall? • How is it measured? • What attributes was Enhance associated with?
132
3. Results: Trial •
What was Enhance’s trial rate?
•
What was Agree’s trial rate?
•
Was it sufficient?
•
What was Agree’s trial rate at ASSESSOR stage?
•
How do you increase trial? – Advertising – Increasing brand association with an successful existing product. 133
4. Results: Repeat purchase estimation • Did Enhance live up to expectation? • How did it compare with Agree? • How do you increase repeat purchase?
134
5. Results: Product acceptance • What was wrong with Enhance ads
135
6. Results: Market share prediction • Trial and Repeat model • Preference Model • Why were two models used for market share estimation? – Convergent Validity
136
Trial and Repeat Model
M=Market share T=ultimate cumulative trial rate (penetration) S= Ultimate repeat purchase rate among buyers who ever made a trial purchase of the brand (retention)
TRIAL AND REPEAT MODEL
137
Calculating T FKD
CU
T=FKD+CU-(FKD x CU) F= trial rate in ACCESSOR testultimate trial rate that would happen if all consumers were aware of the Ad. K=long run probability that a consumer will become aware of the Enhance D=Proportion of stores that will carry Enhance C=proportion of the target market that receives the samples. U=proportion of those receiving 138
Calculating S
1st
100
81
100-81= 19
0
0
2nd
81
81% 65.6 of 81=
81-65.6= 15.4
19
56.2
13.2
20% of 3.8 19 =
15.4+15.2= 30.6 6.1
24.5
50.5
11.8
37.7
30.2
3rd 4th Etc…
65.6+3.8 69.4 =
62.3
7.5
0 19-3.8= 15.2
100 people tried a product. 81% repeat rate 20% switchback rate 139
Calculating S
140
Calculating S
S=retention rate SB= switchback rate R=repeat purchase rate
141
142
Calculating market share using Preference model • Conjoint to calculate preference • Probability of choosing a brand given the preference for the brand and preference for competing brands • Market share= proportion of consumers for whom brand j is in the evoked set * average probability of purchase of brand j 143
144
7. Results: Cannibalization • Using Conjoint. – No significant cannibalization effect.
145
Key question!!! • Should Enhance be launched in the present for in the present way? • Given the fact: – Enhance MDS’ results were not exciting. – Brand association results. – Market share predictions were also not very exciting.
• What should be done? – Change: • • • •
Attributes Ads Positioning strategy Something else (Brand, etc)
– Drop the product 146
• Was ASSESSOR helpful in taking an appropriate: – Product decision? – Strategic decision?
147
Integrating competence, customer needs and competition with Product
148
Quality Function Deployment • Method to transform user demands into design quality, • To deploy the functions forming quality, • To deploy methods for achieving the design quality into subsystems and component parts, and ultimately to specific elements of the manufacturing process 149
Roof: This is the Correlation matrix. It shows how the HOWs Customer conflict with one requirements: "voice another This section of customer." It focuses on represents thedesign improvement. "what's" of the It focuses on negative system. relationships in the This section lists how design Targets: It the company summarizes thewill meet the customer conclusions of the requirements planning matrix. •Top-level solution•Technical priorities independent metrics (relative importance of • Product/service each technical requirements requirement) •Product/service •Competitive features or(relative benchmarks capabilities position of the existing product) •Targets (engineering target values to be met by the new product design)
Customer Competitive Assessment. It Provides customers’ views on existing products. This matrix uses questionnaires to elicit information Relationship Matrix: It occupies the middle portion of the HOQ diagram which is the largest portion. It uses the prioritization matrix. It shows how well customer requirements are addressed by product features
150
151
Car Door
152
All features are not equally important
153
Customers evaluate competition
154
Delivering/ Matching Features
155
How engineering decisions/ Features impact
156
Measurement is important
157
158
Features could be correlated
159
Establish costs and Targets
Competition
160
Levels of competition • What is our market? • What is the market of Coke? – Cola? – Soft-drinks? – Thirst-quenching drinks?
• What is the market of Harley Davidson? – Bikes? – Swimming pools?
• What was the market of: – – – –
Floppy diskettes? CD? DVDs? Flash drives?
161
1st Level of competition • Product form competition – Companies offering a similar product or service to the target market, utilizing a similar technology, and exhibiting similar degrees of vertical integration. – Same features/ values, appealing to one segment of the market. – Diet Coke, and Diet Pepsi
162
2nd Level of competition • Product category competition – All the companies in the same product or service category – Similar features/ values, some differentiated features appealing to different segments of the market. – Diet Coke, Diet Pepsi; regular Coke, Pepsi, Thums-up.
163
3rd Level of competition • Generic Competition – All the products satisfying a particular need – Diet Coke, Diet Pepsi; regular Coke, Pepsi, Thums-up; Nimbu pani, juices, concentrates, other beverages.
164
4th Level of competition • Budget Competition – Competing for the customer’s purse. – Diet Coke, Diet Pepsi; regular Coke, Pepsi, Thums-up; Nimbu pani, juices, concentrates, other beverages; Icecream, Fast food, etc.
165
Newcomers to a market 1. They already sell to your customers, but expand their participation to include new customer functions – Intel starts making hard disks – Toothpaste manufacturer enters mouthwash segment.
2. They already satisfy customer functions that you satisfy, but expand into your market.
– Intel makes chips for CNC machines
3. They already operate in upstream/ downstream businesses. – Intel starts manufacturing PCs or HP starts manufacturing its own chip
4. Enter an unrelated business
166
Enacting barriers for entry • ‘Unique’ attribute or feature. • Excellent quality perceptions for your product. • Patents and trademarks. • Innovation driven product management.
167
Differentiate the product on emotional level: Branding
168
• Basis of differentiation: – Rational – Emotional
Building Preference Em otio Ra
tion
nal
al
Bundle of Attributes
Preference due to Attributes
Brand
Preference due to Brand
Washing machines • Voltas • LG • Samsung
• “Two cars come off the same assembly line, in the same American pant. A Japanese nameplate goes on one [Mitsubishi Eclipse], an American nameplate goes on the other [Plymouth Laser or Eagle Talon], and people prefer the Japanese version.”
• Voltas Ltd. manufactures not just its own refrigerators in its factory, but has also signed OEM contracts with LG and Samsung to make refrigerators in their Hyderabad plant. Therefore the same plant is manufacturing 3 different brands of refrigerators, but consumers have different preferences for the 3 brands Source: Business Standard, “Voltas Inks two – year OEM fridge deal with Samsung”, October 14, 2003
Is there a difference between the tastes of: • • • •
Coke Pepsi Thums – Up? Results of the blind taste test.
How does branding help? • • • • •
Awareness Associations Loyalty Perceived quality Brand Personality – self concept congruence
When to brand? • • • • • • • • • • •
To create awareness Impulse/ low involvement products When scope for rational differentiation is limited. Entry barriers for competitors. Inelastic consumer response to price increases. Larger margins Greater trade cooperation and support Possible licensing opportunities Additional brand extension opportunities Greater customer loyalty Less vulnerability to competitor actions
Portfolio analysis
BCG Matrix
Market Growth Rate
Question Marks
?
STARS
Dogs
Cash Cow
0 0.1x
1x Relative Market Share
10x
GE Matrix
High Attractiveness Strong Competitive Position • Provide maximum investment • Diversify • Consolidate your position to focus your resources • Accept moderate nearterm profits to build share
High Attractiveness Average Competitive Position • Build selectively on strength • Define the implications of challenging for market leadership • Fill weaknesses to avoid vulnerability
Medium Attractiveness Strong Competitive Position • Invest heavily in selected segments, • Establish a ceiling for the market share you wish to achieve • Seek attractive new segments to apply strengths
High Attractiveness Weak Competitive Position • Ride with the market growth • Seek niches or specialization • Seek an opportunity to increase strength through acquisition
Medium Attractiveness Average Competitive Position • Segment the market to find a more attractive position • Make contingency plans to protect your vulnerable position
Low Attractiveness Strong Competitive Position • Defend strengths • Shift resources to attractive segments • Examine ways to revitalize the industry • Time your exit by monitoring for harvest or divestment timing
Medium Attractiveness Weak Competitive Position • Act to preserve or boost cash flow as you exit the business • Seek an opportunistic sale • Seek a way to increase your strengths
Low Attractiveness Average Competitive Position • Make only essential commitments • Prepare to divest • Shift resources to a more attractive segment
Low Attractiveness Weak Competitive Position • Harvest or divest
Size of the market
Market Share
Brand Line
HLL
Breadth D ep th
Product Line
Brand Family
Brand Portfolio
Breadth of Product Mix • 3 sets of factors that determine the inherent attractiveness of a product category: – Aggregate market factors • Large, fast-growing, in the growth stage of PLC, relatively high and steady profit margins.
– Category factors • Low entry barriers, low bargaining power of buyers, low levels of competition, few close substitutes
– Environmental factors • Technological, political, legal, social factors
Depth of product mix • Different market segments based on considerations: – Different price segments – Different geographical regions – Different channels of distributions – To attract customers seeking variety – To yield economies of scale – To increase internal competition
Some other roles of new brands in a product portfolio • To enter a particular market not being covered currently by other brands of the firm • To serve as a flanker and protect the flagship brand • To serve as a cash cow and be milked for profits • To serve as a high end prestige product to add prestige and credibility to the entire brand portfolio
PLC and Product management
Product Life Cycle
New variants, divestment. “prefer my brand”
“try my product”
Price and differentiated features become more important
• Tomorrow's case: INTEL • Deadline for finishing the project: 22nd aug
200