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Measuring success!
David Lansanah,
Global Head of Innovation & Product Development
CONTEXT EFFECT
Types of Environment Factors….
1
Product Pairing
What is
consumed with
the target
stimulus
2 3 4 5
Economic
Cost and
perceived value
of the stimulus
in a given
situation
Social
The presence of
other people at
the time of
consumption
Cultural
Traditions,
patterns and
beliefs of
individuals and
the community
Physical
Location or
setting where
consumers
are exposed
to a stimulus
Physical context influences our judgement of appropriateness!
Context can affect how judgement is made, what dimensions are judged
and what criteria of standards are used..(N. Anderson, 1974, 1981-
information integration theory)
Economic context influences price acceptance!
Price tolerance and product appeal is greatly influenced by the context in
which purchases are made
@ Local restaurant @ Fancy wine bar @ Restaurant
$1.50 $5.20 $4.00
Food context also influences perception of performance and appeal
Beverage and food preference ratings in a controlled environment are poor
predictors of liking for foods and amount of those foods consumed
(Cardello et al, 2011)
Social context influences our judgement of appropriateness and perception of
appeal…
Context based measurement is more predictive of in-market performance
90% create online contact monthly
3.6 times more likely to purchase a
product they say they would buy..
2/3 will tell friends about brands they
love
2 times more likely to be early
adopters
1.8 times more likely to be
influencers..
What influence do they have?
How are they segmented
Heavily digital
skewed, highly
socially
influenced
Socially
influenced
but low
digital skew
Low digital
consumption
and social
influence
Heavy
digital skew
but not
socially
influenced
 Heavy reliance on social media
 A consumer of social (rather
than an influencer)
 Not a heavy user of digital
outside of social
 Still consuming traditional
media
 Digital touchpoints not that
prevalent in the decision path
 Heavy reliance on digital &
social media
 An Influencer in social media
 Constantly connected through
the day, across multiple
devices in many markets
 Hard to reach via traditional
means
 Greatest influence of digital &
social in the decision path
 Low digital usage
 A virtual non-consumer of
social content
 Still consuming large amounts
of traditional media
 Digital not prevalent in the
decision path
 Heavy reliance on digital
media but not that involved in
social media
 Use digital through the day,
across multiple devices in
many markets
 Use digital heavily in the
decision path, but official not
user content
High
Social engagement
Low
Social engagement
Low
Digitalinfluence
High
Digitalinfluence
Observers
Functionals Connectors
Leaders
Generation C: Segments
Functional
 Low digital usage
 A virtual non-
consumer of social
content
 Still consuming large
amounts of traditional
media
 Digital not prevalent
in the decision path
Observer
 Heavy reliance on digital
media but not that
involved in social media
 Use digital through the
day, across multiple
devices in many markets
 Use digital heavily in the
decision path, but official
not user content
Connectors
 Heavy reliance on social
media
 A consumer of social
(rather than an
influencer)
 Not a heavy user of
digital outside of social
 Still consuming
traditional media
 Digital touchpoints not
that prevalent in the
decision path
Leaders
 Heavy reliance on digital &
social media
 An Influencer in social
media
 Constantly connected
through the day, across
multiple devices in many
markets
 Hard to reach via traditional
means
 Greatest influence of digital
& social in the decision path
How accurate are
traditional
approaches in
measuring
success?
Traditional approach & context effect!
How accurate are
CLT, Online or
IHUT results in the
absence of
environment cues
influencing
consumer
behavior?
Survey
response
error
reduction
Situation/occasion
Location
Product pairing
= ≠
Purchase scenario
Recent internal R&D showed that surveys that captured consumer
context was more predictive of market…..
Traditional approach & Connected consumer
How accurate
results in the
absence of Gen C
and social media
influence?
Survey
response
error
reduction
Social media
influence
The connected consumer plays a greater role in defining the success or
failure of brands using social media…..
e-Commerce
= ≠
Generation C
Embracing context within TNS!
The availability of mobile and digital technology has made it much easier for
TNS to account for context influencing consumer behavior
1
ValueManager
2
i-witness
3
Situational
Benchmarking
TNS developed* a general framework for extended
choice models by including an explicit representation of
the individual context of decision making
Behavioural
framework of
consumer choice
Discrete
Choice
Model
Prediction of
consumer
choices
The expanded model puts choice into context:
 Rather than choosing from random sets of
alternatives, buyers actively “build” their choice sets
 Buying habits, price knowledge and brand images
inform sets and choices
* based on the latest scientific choice modelling literature and on co-operations with academics in the United
States and Germany
Embracing context within IPD: ValueManager
Embracing context within IPD: i-Witness!
We have developed an in-the-moment model that
embraces the diversity of consumption/usage
scenario
Consumption
framework
In-the-
moment
data
capture
I-witness puts product/service evaluation in context:
 In-the-moment video capture of product/service
experience across multiple usage/consumption
scenario reflecting market reality..
 Performance is measured in “real time”
Embracing context within IPD: Situational Benchmarking!
We have developed a situational framework that
embraces environmental factors influencing
perceptions of performance.
Situational
framework
In-the-
moment
data
capture
Situational Benchmarking puts performance
comparison in context:
 Mobile data capture of performance in specific
usage scenario vs the competition
 Retrospective evaluation using social media
targeting specific past 3 hour usage
situation/scenario
Final thought!
1) Think context
2) Generation C- the connected consumer could be your
secret to success
3) Think mobile
THANK YOU!

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Портфель решений TNS в области Innovation & Product Development

  • 1. Measuring success! David Lansanah, Global Head of Innovation & Product Development
  • 2.
  • 4. Types of Environment Factors…. 1 Product Pairing What is consumed with the target stimulus 2 3 4 5 Economic Cost and perceived value of the stimulus in a given situation Social The presence of other people at the time of consumption Cultural Traditions, patterns and beliefs of individuals and the community Physical Location or setting where consumers are exposed to a stimulus
  • 5. Physical context influences our judgement of appropriateness! Context can affect how judgement is made, what dimensions are judged and what criteria of standards are used..(N. Anderson, 1974, 1981- information integration theory)
  • 6. Economic context influences price acceptance! Price tolerance and product appeal is greatly influenced by the context in which purchases are made @ Local restaurant @ Fancy wine bar @ Restaurant $1.50 $5.20 $4.00
  • 7. Food context also influences perception of performance and appeal Beverage and food preference ratings in a controlled environment are poor predictors of liking for foods and amount of those foods consumed (Cardello et al, 2011)
  • 8. Social context influences our judgement of appropriateness and perception of appeal… Context based measurement is more predictive of in-market performance
  • 9.
  • 10. 90% create online contact monthly 3.6 times more likely to purchase a product they say they would buy.. 2/3 will tell friends about brands they love 2 times more likely to be early adopters 1.8 times more likely to be influencers.. What influence do they have?
  • 11. How are they segmented Heavily digital skewed, highly socially influenced Socially influenced but low digital skew Low digital consumption and social influence Heavy digital skew but not socially influenced  Heavy reliance on social media  A consumer of social (rather than an influencer)  Not a heavy user of digital outside of social  Still consuming traditional media  Digital touchpoints not that prevalent in the decision path  Heavy reliance on digital & social media  An Influencer in social media  Constantly connected through the day, across multiple devices in many markets  Hard to reach via traditional means  Greatest influence of digital & social in the decision path  Low digital usage  A virtual non-consumer of social content  Still consuming large amounts of traditional media  Digital not prevalent in the decision path  Heavy reliance on digital media but not that involved in social media  Use digital through the day, across multiple devices in many markets  Use digital heavily in the decision path, but official not user content High Social engagement Low Social engagement Low Digitalinfluence High Digitalinfluence Observers Functionals Connectors Leaders
  • 12. Generation C: Segments Functional  Low digital usage  A virtual non- consumer of social content  Still consuming large amounts of traditional media  Digital not prevalent in the decision path Observer  Heavy reliance on digital media but not that involved in social media  Use digital through the day, across multiple devices in many markets  Use digital heavily in the decision path, but official not user content Connectors  Heavy reliance on social media  A consumer of social (rather than an influencer)  Not a heavy user of digital outside of social  Still consuming traditional media  Digital touchpoints not that prevalent in the decision path Leaders  Heavy reliance on digital & social media  An Influencer in social media  Constantly connected through the day, across multiple devices in many markets  Hard to reach via traditional means  Greatest influence of digital & social in the decision path
  • 14. Traditional approach & context effect! How accurate are CLT, Online or IHUT results in the absence of environment cues influencing consumer behavior? Survey response error reduction Situation/occasion Location Product pairing = ≠ Purchase scenario Recent internal R&D showed that surveys that captured consumer context was more predictive of market…..
  • 15. Traditional approach & Connected consumer How accurate results in the absence of Gen C and social media influence? Survey response error reduction Social media influence The connected consumer plays a greater role in defining the success or failure of brands using social media….. e-Commerce = ≠ Generation C
  • 16. Embracing context within TNS! The availability of mobile and digital technology has made it much easier for TNS to account for context influencing consumer behavior 1 ValueManager 2 i-witness 3 Situational Benchmarking
  • 17. TNS developed* a general framework for extended choice models by including an explicit representation of the individual context of decision making Behavioural framework of consumer choice Discrete Choice Model Prediction of consumer choices The expanded model puts choice into context:  Rather than choosing from random sets of alternatives, buyers actively “build” their choice sets  Buying habits, price knowledge and brand images inform sets and choices * based on the latest scientific choice modelling literature and on co-operations with academics in the United States and Germany Embracing context within IPD: ValueManager
  • 18. Embracing context within IPD: i-Witness! We have developed an in-the-moment model that embraces the diversity of consumption/usage scenario Consumption framework In-the- moment data capture I-witness puts product/service evaluation in context:  In-the-moment video capture of product/service experience across multiple usage/consumption scenario reflecting market reality..  Performance is measured in “real time”
  • 19. Embracing context within IPD: Situational Benchmarking! We have developed a situational framework that embraces environmental factors influencing perceptions of performance. Situational framework In-the- moment data capture Situational Benchmarking puts performance comparison in context:  Mobile data capture of performance in specific usage scenario vs the competition  Retrospective evaluation using social media targeting specific past 3 hour usage situation/scenario
  • 20. Final thought! 1) Think context 2) Generation C- the connected consumer could be your secret to success 3) Think mobile