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Uncover what drives your brand
positioning in the market
Brand Driver Analysis - Extract more juice
from your brand tracking studies
Juan Tello | November 2016
1
Brand Health Key Drivers
Most of the time brand tracker information is not fully
exploited
Trend Analysis
WHAT WHY
2
Apply SKIM Drivers Analysis to
extract more juice from existing
brand tracker data
3
4
Drivers Analysis
identifies which
factors have the
most impact on
brand health
Brand Overall
Rating
Customer
Service
Product
Performance
Value for
money
Reliable
advice
Product
Quality
Easy to
use
Fair Price
$
5
Data required for drivers analysis is generally included in
any brand tracker study
Holistic
Functional
A) Overall Brand Metrics
B) Association
metric between
brands and
attributes
Brand Overall
Rating
Customer
Service
Product
Performance
Value for
money
Reliable
advice
Product
Quality
Easy to
use
Fair Price
$
SKIM employs
various hierarchical
multivariate analysis
to uncover interactions
between factors
BBN SEM PLS
Acyclic network of factors is built
based on levels of interaction
between them
6
7
Communication and innovation strategies can be defined
based on which drivers a brand owns vs. competition
Brand Overall
Rating
Customer
Service
Product
Performance
Value for
money
Reliable
advice
Product
Quality
Easy to
use
Fair Price
$
Brand Ownership
Brand A
Brand B
WhitespaceWhere to play?
Does the brand have the
right to win versus
competition?
8
Whitespace: less resistance in shifting consumer perception
of how a brand is associated with a factor not owned
Brand Overall
Rating
Customer
Service
Product
Performance
Value for
money
Reliable
advice
Product
Quality
Easy to
use
Fair Price
$
Brand Ownership
Brand A
Brand B
Whitespace
Whitespace opportunities
can be uncovered by
identifying factors that are
not owned by any brand
in the market
9
SKIM computes whether a brand owns or not certain
factor vis a vis competition
Brand ownership is defined through normalized residuals highlighting associations
statistically significantly above or below the expected brand association
Ownership Weakness No Ownership
Attributes
Brand A Brand B Brand C
Attribute
Average
Customer Service 70% 50% 5% 42%
Product Performance 70% 30% 5% 35%
Product Quality 60% 20% 10% 30%
Value for Money 40% 20% 20% 27%
Brand Average 60% 30% 10% 33%
Big/Small brand effect Whitespace opportunity
10
Layering brand ownership over the network allow brands to
know where to play and how to win
Brand Overall
Rating
Customer
Service
Product
Performance
Value for
money
Reliable
advice
Product
Quality
Easy to
use
Fair Price
$
Brand A Brand B Whitespace
Each bubble is a factor
Bubble size denotes impact
towards overall rating
Arrow width denotes level of
interaction between factors
Color denotes brand
ownership
11
Differentiated
Strategies
Brand Users
Shopping habits
Age generations
Heavy/Light Users
Specific segments can be analyzed to understand
differences regarding drivers and ownerships
11
12
Malleability index describes how easy/hard is it to change
consumer’s brand perceptions in each segment
BrandOverallRating
Malleability Index
Boomers
Gen X
Millennials
13
SKIM Drivers Analysis
Main Deliverables
Brand
Overall
Rating
Customer
Service
Product
Performance
Value for
money
Reliable
advice
Product
Quality
Easy to
use
Fair Price
$
Brand
Overall
Rating
Customer
Service
Product
Performance
Value for
money
Reliable
advice
Product
Quality
Easy to
use
Fair Price
$
Brand Ladder
Showing strengths and
weaknesses by brand
Market Opportunity Ladder
Showing brand ownership and
whitespace opportunities
Contribution bar charts
Towards dependent metric
20%
18% 17% 17%
10% 10%
8%
CS Product
P.
Value for
money
Fair Price Reliable
Advice
Product
Quality
Easy to
Use
14
SKIM Drivers Analysis
Market Simulations
Brand
Overall
Rating
Customer
Service
Product
Performance
Value for
money
Reliable
advice
Product
Quality
Easy to
use
Fair Price
$
Market Simulations
Explore what the size of the prize is of your brand owning a certain factor or whitespace
Explore the level of risk of a competitor owning a certain factor or whitespace
What if?
Contact us: extract more juice from your data
skimgroup.com
@SKIMgroup
SKIMgroup
SKIMgroup
15
Juan Tello
Senior VP Americas
j.tello@skimgroup.com
+506 4052 7272
Wessel Roose
Research Manager
w.roose@skimgroup.com
+31 10 282 3520

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Webinar "Brand driver analysis - extract more juice from your brand tracking studies"

  • 1. Uncover what drives your brand positioning in the market Brand Driver Analysis - Extract more juice from your brand tracking studies Juan Tello | November 2016 1
  • 2. Brand Health Key Drivers Most of the time brand tracker information is not fully exploited Trend Analysis WHAT WHY 2
  • 3. Apply SKIM Drivers Analysis to extract more juice from existing brand tracker data 3
  • 4. 4 Drivers Analysis identifies which factors have the most impact on brand health Brand Overall Rating Customer Service Product Performance Value for money Reliable advice Product Quality Easy to use Fair Price $
  • 5. 5 Data required for drivers analysis is generally included in any brand tracker study Holistic Functional A) Overall Brand Metrics B) Association metric between brands and attributes Brand Overall Rating Customer Service Product Performance Value for money Reliable advice Product Quality Easy to use Fair Price $
  • 6. SKIM employs various hierarchical multivariate analysis to uncover interactions between factors BBN SEM PLS Acyclic network of factors is built based on levels of interaction between them 6
  • 7. 7 Communication and innovation strategies can be defined based on which drivers a brand owns vs. competition Brand Overall Rating Customer Service Product Performance Value for money Reliable advice Product Quality Easy to use Fair Price $ Brand Ownership Brand A Brand B WhitespaceWhere to play? Does the brand have the right to win versus competition?
  • 8. 8 Whitespace: less resistance in shifting consumer perception of how a brand is associated with a factor not owned Brand Overall Rating Customer Service Product Performance Value for money Reliable advice Product Quality Easy to use Fair Price $ Brand Ownership Brand A Brand B Whitespace Whitespace opportunities can be uncovered by identifying factors that are not owned by any brand in the market
  • 9. 9 SKIM computes whether a brand owns or not certain factor vis a vis competition Brand ownership is defined through normalized residuals highlighting associations statistically significantly above or below the expected brand association Ownership Weakness No Ownership Attributes Brand A Brand B Brand C Attribute Average Customer Service 70% 50% 5% 42% Product Performance 70% 30% 5% 35% Product Quality 60% 20% 10% 30% Value for Money 40% 20% 20% 27% Brand Average 60% 30% 10% 33% Big/Small brand effect Whitespace opportunity
  • 10. 10 Layering brand ownership over the network allow brands to know where to play and how to win Brand Overall Rating Customer Service Product Performance Value for money Reliable advice Product Quality Easy to use Fair Price $ Brand A Brand B Whitespace Each bubble is a factor Bubble size denotes impact towards overall rating Arrow width denotes level of interaction between factors Color denotes brand ownership
  • 11. 11 Differentiated Strategies Brand Users Shopping habits Age generations Heavy/Light Users Specific segments can be analyzed to understand differences regarding drivers and ownerships 11
  • 12. 12 Malleability index describes how easy/hard is it to change consumer’s brand perceptions in each segment BrandOverallRating Malleability Index Boomers Gen X Millennials
  • 13. 13 SKIM Drivers Analysis Main Deliverables Brand Overall Rating Customer Service Product Performance Value for money Reliable advice Product Quality Easy to use Fair Price $ Brand Overall Rating Customer Service Product Performance Value for money Reliable advice Product Quality Easy to use Fair Price $ Brand Ladder Showing strengths and weaknesses by brand Market Opportunity Ladder Showing brand ownership and whitespace opportunities Contribution bar charts Towards dependent metric 20% 18% 17% 17% 10% 10% 8% CS Product P. Value for money Fair Price Reliable Advice Product Quality Easy to Use
  • 14. 14 SKIM Drivers Analysis Market Simulations Brand Overall Rating Customer Service Product Performance Value for money Reliable advice Product Quality Easy to use Fair Price $ Market Simulations Explore what the size of the prize is of your brand owning a certain factor or whitespace Explore the level of risk of a competitor owning a certain factor or whitespace What if?
  • 15. Contact us: extract more juice from your data skimgroup.com @SKIMgroup SKIMgroup SKIMgroup 15 Juan Tello Senior VP Americas j.tello@skimgroup.com +506 4052 7272 Wessel Roose Research Manager w.roose@skimgroup.com +31 10 282 3520