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Neuromarketing




                                           ©wimeuverman.nl

IS12 Psych! Conference: Marketing to the Mind
  Dharol Tankersley, PhD Cognitive Neuroscience
           Data Analyst, Schipul Technologies
I.  What is Marketing?

II.  What is Neuroscience?

III.  What Neuroscience CAN do for
    Marketing

IV.  What Neuroscience can NOT do
   for Marketing
I. What is Marketing?
A system to discover and satisfy needs of
people (HMT)
Goal of Marketing

                        Ø  Identify consumer needs
I. What is Marketing?




                        Ø  Solution - product/ service
Goal of Marketing

                        A system to discover, satisfy and influecne
                        desires of people (HMT)
I. What is Marketing?




                              Measure


                               Desire


                              Purchase
Traditional Measures of Desire

                                What do I desire?
I. What is Marketing?
Traditional Measures of Desire

                                What do you like?
I. What is Marketing?




                        Focus Groups
Traditional Measures of Desire

                                 What do you like?
I. What is Marketing?




                         Questionnaires
                        Focus Groups
Traditional Measures of Desire

                             Which would you choose?
I. What is Marketing?




                           Simulated Choice
                         Questionnaires
                        Focus Groups
I. What is Marketing?
                        Traditional Measures of Desire




                              Not Consequential!



                           Simulated Choice
                         Questionnaires
                        Focus Groups
Traditional Measures of Desire

                           What do you want for dinner
                                   tomorrow?
I. What is Marketing?
Traditional Measures of Desire

                              What DID you choose?
I. What is Marketing?




                              Fully Consequential!


                                 Market Tests



                           Simulated Choice
                         Questionnaires
                        Focus Groups
I. What is Marketing?
                               Traditional Measures of Desire




                                        Market Tests
                        Cost




                                  Simulated Choice
                                Questionnaires
                               Focus Groups
                                     Accuracy          Adapted from Ariely & Berns (2010)
I. What is Marketing?
                               Traditional Measures of Desire




                                        Market Tests
                        Cost




                                  Simulated Choice
                                Questionnaires
                               Focus Groups
                                     Accuracy
II. What is Neuroscience?
II. What is Neuroscience?
A system to measure the biology of desire
     Ø  Predict consumer behavior

                Measure


                 Desire


               Purchase
II. What is Neuroscience?
A system to measure the biology of desire
     Ø  Predict consumer behavior
          “Hidden Information”
II. What is Neuroscience?
                                       “Hidden” Information




                            Ø  Emotional Ø  Subconscious Ø  Non-rational
Neuroscience Measures of Desire

                                             Biometrics
II. What is Neuroscience?




                                      GSR                 Heart Rate




                            Pupil Dilation                Temperature
Neuroscience Measures of Desire

                                   Behavioral Physiology
II. What is Neuroscience?




                              Eye Tracking          Facial Coding
Charity Selection
                            Neuroscience Measures of Desire

                                     Brain Imaging
II. What is Neuroscience?




                            EEG           MEG                          fMRI
                                                                  You
                                                             will play for
                                                             Easter Seals
                                                                                     +
                                                Dharol Tankersley             Cognitive Af
NeuroAnatomy of Marketing
III. What Neuroscience CAN do for Marketing



                                              Liking
                                              mPFC
                                              (Medial PreFrontal Cortex)

                                              Disliking
                                              Insula

                                              Amygdala


                                              Attention/ Arousal
                                              Striatum
III.  What Neuroscience CAN
            do for Marketing


Ø  Success: Case Studies

Ø  Summary: Promising Areas
Case Studies
III. What Neuroscience CAN do for Marketing


                                              What kind of product is being sold?
Case Studies
III. What Neuroscience CAN do for Marketing


                                              What kind of product is being sold?
Case Studies
III. What Neuroscience CAN do for Marketing


                                              What kind of product is being sold?
Case Studies
III. What Neuroscience CAN do for Marketing


                                              What kind of product is being sold?
Case Studies
III. What Neuroscience CAN do for Marketing


                                              What kind of product is being sold?
III. What Neuroscience CAN do for Marketing
                                                 Case Studies

                                  Eye Tracking
III. What Neuroscience CAN do for Marketing
                                                 Case Studies

                                  Eye Tracking
Case Studies
III. What Neuroscience CAN do for Marketing


                                                              Eye Tracking




                                              Website Optimization             Packaging




                                                                Ad Placement
III. What Neuroscience CAN do for Marketing
                                                                Case Studies

                                  Which design do you prefer?
Case Studies
III. What Neuroscience CAN do for Marketing


                                                   Biometrics

                                              1    2                 1000"
                                                                      800"




                                                       Sales"Rank"
                                                                      600"
                                                                      400"
                                                                      200"
                                                                        0"
                                                                             0"          5"          10"
                                                                              Emo4onal"Engagement"Rank"
Case Studies
III. What Neuroscience CAN do for Marketing


                                                              Biometrics




                                              Ø Heavy detail that expresses attitude
                                              Ø Prominent facial features often with large eyes
                                              Ø Bold color palette with high contrast
Case Studies
III. What Neuroscience CAN do for Marketing


                                                               Biometrics




                                              Emotionally Engaging -> Twice the Click Thru Rate
Case Studies
III. What Neuroscience CAN do for Marketing


                                              Which cover design do you prefer?




                                              1                2                  3
Case Studies
III. What Neuroscience CAN do for Marketing


                                                 Brain Imaging: EEG




                                              Overall effectiveness
                                              Attention
                                              Emotion                 Emotion
                                              Retention
                                              Purchase Intent
                                              Novelty
                                              Awareness
Case Studies
III. What Neuroscience CAN do for Marketing


                                                  Brain Imaging: EEG




                                                                 12% Increase
                                                                   in Sales




                                              2
Case Studies
III. What Neuroscience CAN do for Marketing


                                              Which advertisement is the most effective?




                                               http://www.youtube.com/watch?v=lf01Ti6bH8U



                                                      Campaign A: Coffee Ad
Case Studies
III. What Neuroscience CAN do for Marketing


                                              Which advertisement is the most effective?




                                               http://www.youtube.com/watch?v=dR6odVmNTlw

                                              Campaign B: Jumping Out of Window Ad
Case Studies
III. What Neuroscience CAN do for Marketing


                                              Which advertisement is the most effective?




                                              http://www.youtube.com/watch?v=weVp5FXVyqM
                                                       Campaign C: Puppet
Case Studies
III. What Neuroscience CAN do for Marketing


                                               Which advertisement is the most effective?


                                              Campaign A: Coffee Ad


                                              Campaign B: Jumping Out of Window Ad


                                              Campaign C: Puppet
Case Studies
III. What Neuroscience CAN do for Marketing


                                                               Brain Imaging: fMRI

                                                       Expert
                                                    self%report%
                                                     Predictions
                                              10"
                                               8"
                                               6"
                                               4"
                                               2"
                                               0"
                                                     A"   B"      C"
Case Studies
III. What Neuroscience CAN do for Marketing


                                                               Brain Imaging: fMRI

                                                       Expert                      Calls to 1-800-
                                                    self%report%
                                                     Predictions
                                                                                     actual&
                                                                                    QUIT-NOW
                                              10"                            32"
                                               8"                            24"
                                                                                                30x
                                               6"
                                                                             16"
                                                                                          10x
                                               4"                                  2x
                                               2"                             8"

                                               0"                             0"
                                                     A"   B"      C"                 A"    B"    C"


                                                     Experts & smokers fail to predict.
Case Studies
III. What Neuroscience CAN do for Marketing


                                                              Brain Imaging: fMRI

                                                       Brain: mPFC
                                                         Expert                    Calls to 1-800-
                                                         mpfc%
                                                        Activation
                                                       Predictions
                                                                                     actual&
                                                                                    QUIT-NOW
                                                0.1%                         32"

                                                                             24"
                                                                                               30x
                                              0.05%
                                                                             16"
                                                                                         10x
                                                  0%                               2x
                                                         A%   B%    C%        8"
                                              !0.05%
                                                                              0"
                                               !0.1%                                A"    B"    C"


                                                           Frontal Cortex Predicts
                                                         Advertisement Effectiveness
Promising Areas
III. What Neuroscience CAN do for Marketing

                                              Ø  Visual – Attention
                                                 Ø  Advertising
                                                 Ø  Packaging
Promising Areas
III. What Neuroscience CAN do for Marketing

                                              Ø  Emotion - Engagement
                                                Ø  Branding
                                                Ø  Politics
Promising Areas
III. What Neuroscience CAN do for Marketing

                                              Ø  Consumption - Experience
                                                Ø  Beverages
                                                Ø  Films
Promising Areas
III. What Neuroscience CAN do for Marketing

                                              Ø  Virtual Reality
                                                 Ø  Shopping Display
                                                 Ø  Architecture
Summary
III. What Neuroscience CAN do for Marketing

                                              Ø  Visual Attention
                                                 Ø  Advertising
                                                 Ø  Packaging

                                              Ø  Emotion
                                                 Ø  Politics
                                                 Ø  Branding

                                              Ø  Consumption
                                                 Ø  Beverage
                                                 Ø  Film

                                              Ø  Virtual Reality
                                                 Ø  Architecture
                                                 Ø  In-store marketing
IV. What Neuroscience CanNOT
       do for Marketing
Ø  Cautionary Tales

Ø  Methodology

Ø  Costs

Ø  Context
IV. What Neuroscience Can NOT do for Marketing



                                    Facebook Study
                                                     Cautionary Tales
Cautionary Tales
IV. What Neuroscience Can NOT do for Marketing



                                                     Facebook Study

                                                   Emotional Engagement




                                                 Facebook   Yahoo   NYTimes
Cautionary Tales
IV. What Neuroscience Can NOT do for Marketing



                                                    Coke vs Pepsi Taste Test


                                                 Blind Taste Test     Labeled Taste Test
IV. What Neuroscience Can NOT do for Marketing
                                                               Cautionary Tales

                                    Coke vs Pepsi Taste Test
IV. What Neuroscience Can NOT do for Marketing
                                                          Cautionary Tales

                                    NewScience Magazine
IV. What Neuroscience Can NOT do for Marketing



                                    Confounds
                                                Cautionary Tales
Cautionary Tales
IV. What Neuroscience Can NOT do for Marketing



                                                                       Confounds
                                                 “These methods do not reveal inner truth.
                                                 Neuroscience techniques need interpretation in
                                                 light of other information. Real understanding
                                                 comes from integrating information rather than
                                                 focusing on only one perspective.”
                                                 Barbara O’Connell
                                                 Vice President, Milward Brown
Methods: Reverse Inference
IV. What Neuroscience Can NOT do for Marketing
                                                                                                                                         tions. Interestingly, an a
                                                                                                                                         for pain placebo effects
                                                                                                                                            Our results have impl
                                                                                                                                         EP signal plays a centr
                                                                                                                                         serves as a teaching sig
                                                                                                                                         tunately, very little is k
                                                                                                                                         neural computation of t
                                                                                                                                         is the economic view, w
                                                                                                                                         sensory properties of th
                                                                                                                                         ular properties) and th
                                                                                                                                         suggest that the brain
                                                                                      “Liking”                                           sophisticated manner th
                                                                                                                                         properties of the substa
                                                                                                                                         tions about how good it
                                                                                                                                         that it might be adaptive
                                                                                                                                  Preference
                                                                                                                                         decisions in the future
                                                                                                                                         measurements of the qu
                                                                                                                                         of noisy measurements,
                                                                                                                                         quality of an experience
                                                                                                                                         tion. A related study (1
                                                                                                                                         dence for this point by
                                                                                                                                                tions. Interestingly
                                                                                                                                         an ambiguous odor (‘‘c
                                                   Fig. 4.   Neural correlates of liking ratings. (A) Activity in the mOFC and the       affectfor pain placebo e
                                                                                                                                                  both subjective p
                                                   midbrain correlated with the reported pleasantness of the six liquids at degus-
                                                                                                                                   mPFC
                                                   tation time. For illustration purposes, the contrast is shown both at P Ͻ 0.001 and
                                                   P Ͻ 0.005 uncorrected and with an extend threshold of five voxels. (B) Correlation
                                                                                                                                         related Our results have
                                                                                                                                                   to EP. Unlike th
                                                                                                                                         al. (13) do not provideae
                                                                                                                                                EP signal plays
                                                                                                                                         pricing, can affect neura
                                                                                                                                  ActivationSecond, our a teachin
                                                                                                                                                serves as findings
                                                   of pleasantness ratings and BOLD responses (r ϭ 0.593, P Ͻ 0.000). Each point

                                                                                                                                         Whereas there very little
                                                                                                                                                tunately, is ample
                                                   denotes a subject-price pair. The horizontal axis measures the reported pleasant-
                                                   ness. The vertical axis computes the betas from the general linear model in a
                                                   5-mm spherical volume surrounding the area depicted in A.                                    neural computatio
                                                                                                                                         keting actions are succes
                                                                                                                                                is the economic vie
                                                                                                                                         that they can modulate n
                                                                                                                                         not been reported befor
                                                                                                                                                sensory properties
                                                   Discussion                                                                            provide some clues abou
                                                                                                                                                ular properties) a
                                                   The main hypothesis of this study was that an increase in the                         lar, it seems that price c
                                                   perceived price of a wine should, through an increase in taste                        experienced utility the n
                                                                                                                                                suggest that but b
                                                   expectations, increase activity in the mOFC. The results de-                          ties of taste in the mann
                                                                                                                                                sophisticated prim
                                                   scribed above provide evidence consistent with the hypothesis.                               properties of the s
                                                                                                                                            Third, our results hav
                                                   The hypothesis was motivated by several previous studies, which                       important componentgo
                                                                                                                                                tions about how o
                                                   have shown that activity in the mOFC is correlated with behav-                        omist’s termmight be ad
                                                                                                                                                that it for subjecti
                                                   ioral pleasantness ratings for odors (10 –13), tastes (6, 14, and                     the standard economic f
                                                                                                                                                decisions in the
                                                   15), and even music (16). This, together with our behavioral                          erties of products, such a
                                                                                                                                              measurements of t
Methods: Reverse Inference
IV. What Neuroscience Can NOT do for Marketing



                                                                           My
                                                                        product
                                                                       is “liked”

                                                                           Preference

                                                                                    tions. Interestingly
                                                                                    for pain placebo e
                                                                            mPFC       Our results have
                                                                                    EP signal plays a
                                                                                    serves as a teachin
                                                                           Activation
                                                                                    tunately, very little
                                                                                    neural computatio
                                                                                    is the economic vie
                                                                                    sensory properties
                                                                                    ular properties) a
                                                                                    suggest that the b
                                                                                    sophisticated mann
                                                                                    properties of the s
                                                                                    tions about how go
                                                                                    that it might be ad
                                                                                    decisions in the f
                                                                                    measurements of t
Methods: Multi-voxel Pattern Analysis
IV. What Neuroscience Can NOT do for Marketing



                                                           Beyond Reverse Inference
                                                 Like

                                                 Dislike




                                                 New Product
Costs
IV. What Neuroscience Can NOT do for Marketing



                                                 Intern   Scan       Subject    Postdoc                   IT




                                                                                You are the postdoc. You should
                                                                                know how to make ends meet.

                                                 $40       $500        $40      $10,000            $20,000

                                                                  Data:     $17,400
                                                                  Overhead: $30,0 00
                                                                            $47,400
Costs
IV. What Neuroscience Can NOT do for Marketing



                                                               Return On Investment?
                                                 “If I can spend $1000 to do a traditional market study that
                                                 gets me 85% of what a $50,000 fMRI study does then the
                                                 return on my neuromarketing investment is not great.

                                                 Thinking about it another way, how much less or more
                                                 could I get across 50 traditional studies relative to the
                                                 value of one neuromarketing study.”
                                                 -Craig Bennett

                                                                     Data:     $17,400
                                                                     Overhead: $30,0 00
                                                                               $47,400
Context
IV. What Neuroscience Can NOT do for Marketing



                                                 Ø  Loud

                                                 Ø  Claustrophobic

                                                 Ø  Stationary

                                                 Ø  Repetitive
Summary: Limitations
IV. What Neuroscience Can Not do for Marketing




                                                 Ø  Cautionary Tales

                                                 Ø  Costs

                                                 Ø  Methodological   Data:     $17,400
                                                                      Overhead: $30,000
                                                                                $47,400
                                                                                              My
                                                                                           product
                                                 Ø  Context                              is “liked”
Neuromarketing: Conclusions

Promise                  Caution




                      Data:     $17,400
                      Overhead: $30,0 00
                                $47,400
Thanks!
DHAROL TANKERSLEY, PhD
Analyst

dharol@gmail.com
www.linkedin.com/pub/dir/Dharol/Tankersley

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Is tankersley neuro-marketing_slideshare

  • 1. Neuromarketing ©wimeuverman.nl IS12 Psych! Conference: Marketing to the Mind Dharol Tankersley, PhD Cognitive Neuroscience Data Analyst, Schipul Technologies
  • 2. I.  What is Marketing? II.  What is Neuroscience? III.  What Neuroscience CAN do for Marketing IV.  What Neuroscience can NOT do for Marketing
  • 3. I. What is Marketing? A system to discover and satisfy needs of people (HMT)
  • 4. Goal of Marketing Ø  Identify consumer needs I. What is Marketing? Ø  Solution - product/ service
  • 5. Goal of Marketing A system to discover, satisfy and influecne desires of people (HMT) I. What is Marketing? Measure Desire Purchase
  • 6. Traditional Measures of Desire What do I desire? I. What is Marketing?
  • 7. Traditional Measures of Desire What do you like? I. What is Marketing? Focus Groups
  • 8. Traditional Measures of Desire What do you like? I. What is Marketing? Questionnaires Focus Groups
  • 9. Traditional Measures of Desire Which would you choose? I. What is Marketing? Simulated Choice Questionnaires Focus Groups
  • 10. I. What is Marketing? Traditional Measures of Desire Not Consequential! Simulated Choice Questionnaires Focus Groups
  • 11. Traditional Measures of Desire What do you want for dinner tomorrow? I. What is Marketing?
  • 12. Traditional Measures of Desire What DID you choose? I. What is Marketing? Fully Consequential! Market Tests Simulated Choice Questionnaires Focus Groups
  • 13. I. What is Marketing? Traditional Measures of Desire Market Tests Cost Simulated Choice Questionnaires Focus Groups Accuracy Adapted from Ariely & Berns (2010)
  • 14. I. What is Marketing? Traditional Measures of Desire Market Tests Cost Simulated Choice Questionnaires Focus Groups Accuracy
  • 15. II. What is Neuroscience?
  • 16. II. What is Neuroscience? A system to measure the biology of desire Ø  Predict consumer behavior Measure Desire Purchase
  • 17. II. What is Neuroscience? A system to measure the biology of desire Ø  Predict consumer behavior “Hidden Information”
  • 18. II. What is Neuroscience? “Hidden” Information Ø  Emotional Ø  Subconscious Ø  Non-rational
  • 19. Neuroscience Measures of Desire Biometrics II. What is Neuroscience? GSR Heart Rate Pupil Dilation Temperature
  • 20. Neuroscience Measures of Desire Behavioral Physiology II. What is Neuroscience? Eye Tracking Facial Coding
  • 21. Charity Selection Neuroscience Measures of Desire Brain Imaging II. What is Neuroscience? EEG MEG fMRI You will play for Easter Seals + Dharol Tankersley Cognitive Af
  • 22. NeuroAnatomy of Marketing III. What Neuroscience CAN do for Marketing Liking mPFC (Medial PreFrontal Cortex) Disliking Insula Amygdala Attention/ Arousal Striatum
  • 23. III.  What Neuroscience CAN do for Marketing Ø  Success: Case Studies Ø  Summary: Promising Areas
  • 24. Case Studies III. What Neuroscience CAN do for Marketing What kind of product is being sold?
  • 25. Case Studies III. What Neuroscience CAN do for Marketing What kind of product is being sold?
  • 26. Case Studies III. What Neuroscience CAN do for Marketing What kind of product is being sold?
  • 27. Case Studies III. What Neuroscience CAN do for Marketing What kind of product is being sold?
  • 28. Case Studies III. What Neuroscience CAN do for Marketing What kind of product is being sold?
  • 29. III. What Neuroscience CAN do for Marketing Case Studies Eye Tracking
  • 30. III. What Neuroscience CAN do for Marketing Case Studies Eye Tracking
  • 31. Case Studies III. What Neuroscience CAN do for Marketing Eye Tracking Website Optimization Packaging Ad Placement
  • 32. III. What Neuroscience CAN do for Marketing Case Studies Which design do you prefer?
  • 33. Case Studies III. What Neuroscience CAN do for Marketing Biometrics 1 2 1000" 800" Sales"Rank" 600" 400" 200" 0" 0" 5" 10" Emo4onal"Engagement"Rank"
  • 34. Case Studies III. What Neuroscience CAN do for Marketing Biometrics Ø Heavy detail that expresses attitude Ø Prominent facial features often with large eyes Ø Bold color palette with high contrast
  • 35. Case Studies III. What Neuroscience CAN do for Marketing Biometrics Emotionally Engaging -> Twice the Click Thru Rate
  • 36. Case Studies III. What Neuroscience CAN do for Marketing Which cover design do you prefer? 1 2 3
  • 37. Case Studies III. What Neuroscience CAN do for Marketing Brain Imaging: EEG Overall effectiveness Attention Emotion Emotion Retention Purchase Intent Novelty Awareness
  • 38. Case Studies III. What Neuroscience CAN do for Marketing Brain Imaging: EEG 12% Increase in Sales 2
  • 39. Case Studies III. What Neuroscience CAN do for Marketing Which advertisement is the most effective? http://www.youtube.com/watch?v=lf01Ti6bH8U Campaign A: Coffee Ad
  • 40. Case Studies III. What Neuroscience CAN do for Marketing Which advertisement is the most effective? http://www.youtube.com/watch?v=dR6odVmNTlw Campaign B: Jumping Out of Window Ad
  • 41. Case Studies III. What Neuroscience CAN do for Marketing Which advertisement is the most effective? http://www.youtube.com/watch?v=weVp5FXVyqM Campaign C: Puppet
  • 42. Case Studies III. What Neuroscience CAN do for Marketing Which advertisement is the most effective? Campaign A: Coffee Ad Campaign B: Jumping Out of Window Ad Campaign C: Puppet
  • 43. Case Studies III. What Neuroscience CAN do for Marketing Brain Imaging: fMRI Expert self%report% Predictions 10" 8" 6" 4" 2" 0" A" B" C"
  • 44. Case Studies III. What Neuroscience CAN do for Marketing Brain Imaging: fMRI Expert Calls to 1-800- self%report% Predictions actual& QUIT-NOW 10" 32" 8" 24" 30x 6" 16" 10x 4" 2x 2" 8" 0" 0" A" B" C" A" B" C" Experts & smokers fail to predict.
  • 45. Case Studies III. What Neuroscience CAN do for Marketing Brain Imaging: fMRI Brain: mPFC Expert Calls to 1-800- mpfc% Activation Predictions actual& QUIT-NOW 0.1% 32" 24" 30x 0.05% 16" 10x 0% 2x A% B% C% 8" !0.05% 0" !0.1% A" B" C" Frontal Cortex Predicts Advertisement Effectiveness
  • 46. Promising Areas III. What Neuroscience CAN do for Marketing Ø  Visual – Attention Ø  Advertising Ø  Packaging
  • 47. Promising Areas III. What Neuroscience CAN do for Marketing Ø  Emotion - Engagement Ø  Branding Ø  Politics
  • 48. Promising Areas III. What Neuroscience CAN do for Marketing Ø  Consumption - Experience Ø  Beverages Ø  Films
  • 49. Promising Areas III. What Neuroscience CAN do for Marketing Ø  Virtual Reality Ø  Shopping Display Ø  Architecture
  • 50. Summary III. What Neuroscience CAN do for Marketing Ø  Visual Attention Ø  Advertising Ø  Packaging Ø  Emotion Ø  Politics Ø  Branding Ø  Consumption Ø  Beverage Ø  Film Ø  Virtual Reality Ø  Architecture Ø  In-store marketing
  • 51. IV. What Neuroscience CanNOT do for Marketing Ø  Cautionary Tales Ø  Methodology Ø  Costs Ø  Context
  • 52. IV. What Neuroscience Can NOT do for Marketing Facebook Study Cautionary Tales
  • 53. Cautionary Tales IV. What Neuroscience Can NOT do for Marketing Facebook Study Emotional Engagement Facebook Yahoo NYTimes
  • 54. Cautionary Tales IV. What Neuroscience Can NOT do for Marketing Coke vs Pepsi Taste Test Blind Taste Test Labeled Taste Test
  • 55. IV. What Neuroscience Can NOT do for Marketing Cautionary Tales Coke vs Pepsi Taste Test
  • 56. IV. What Neuroscience Can NOT do for Marketing Cautionary Tales NewScience Magazine
  • 57. IV. What Neuroscience Can NOT do for Marketing Confounds Cautionary Tales
  • 58. Cautionary Tales IV. What Neuroscience Can NOT do for Marketing Confounds “These methods do not reveal inner truth. Neuroscience techniques need interpretation in light of other information. Real understanding comes from integrating information rather than focusing on only one perspective.” Barbara O’Connell Vice President, Milward Brown
  • 59. Methods: Reverse Inference IV. What Neuroscience Can NOT do for Marketing tions. Interestingly, an a for pain placebo effects Our results have impl EP signal plays a centr serves as a teaching sig tunately, very little is k neural computation of t is the economic view, w sensory properties of th ular properties) and th suggest that the brain “Liking” sophisticated manner th properties of the substa tions about how good it that it might be adaptive Preference decisions in the future measurements of the qu of noisy measurements, quality of an experience tion. A related study (1 dence for this point by tions. Interestingly an ambiguous odor (‘‘c Fig. 4. Neural correlates of liking ratings. (A) Activity in the mOFC and the affectfor pain placebo e both subjective p midbrain correlated with the reported pleasantness of the six liquids at degus- mPFC tation time. For illustration purposes, the contrast is shown both at P Ͻ 0.001 and P Ͻ 0.005 uncorrected and with an extend threshold of five voxels. (B) Correlation related Our results have to EP. Unlike th al. (13) do not provideae EP signal plays pricing, can affect neura ActivationSecond, our a teachin serves as findings of pleasantness ratings and BOLD responses (r ϭ 0.593, P Ͻ 0.000). Each point Whereas there very little tunately, is ample denotes a subject-price pair. The horizontal axis measures the reported pleasant- ness. The vertical axis computes the betas from the general linear model in a 5-mm spherical volume surrounding the area depicted in A. neural computatio keting actions are succes is the economic vie that they can modulate n not been reported befor sensory properties Discussion provide some clues abou ular properties) a The main hypothesis of this study was that an increase in the lar, it seems that price c perceived price of a wine should, through an increase in taste experienced utility the n suggest that but b expectations, increase activity in the mOFC. The results de- ties of taste in the mann sophisticated prim scribed above provide evidence consistent with the hypothesis. properties of the s Third, our results hav The hypothesis was motivated by several previous studies, which important componentgo tions about how o have shown that activity in the mOFC is correlated with behav- omist’s termmight be ad that it for subjecti ioral pleasantness ratings for odors (10 –13), tastes (6, 14, and the standard economic f decisions in the 15), and even music (16). This, together with our behavioral erties of products, such a measurements of t
  • 60. Methods: Reverse Inference IV. What Neuroscience Can NOT do for Marketing My product is “liked” Preference tions. Interestingly for pain placebo e mPFC Our results have EP signal plays a serves as a teachin Activation tunately, very little neural computatio is the economic vie sensory properties ular properties) a suggest that the b sophisticated mann properties of the s tions about how go that it might be ad decisions in the f measurements of t
  • 61. Methods: Multi-voxel Pattern Analysis IV. What Neuroscience Can NOT do for Marketing Beyond Reverse Inference Like Dislike New Product
  • 62. Costs IV. What Neuroscience Can NOT do for Marketing Intern Scan Subject Postdoc IT You are the postdoc. You should know how to make ends meet. $40 $500 $40 $10,000 $20,000 Data: $17,400 Overhead: $30,0 00 $47,400
  • 63. Costs IV. What Neuroscience Can NOT do for Marketing Return On Investment? “If I can spend $1000 to do a traditional market study that gets me 85% of what a $50,000 fMRI study does then the return on my neuromarketing investment is not great. Thinking about it another way, how much less or more could I get across 50 traditional studies relative to the value of one neuromarketing study.” -Craig Bennett Data: $17,400 Overhead: $30,0 00 $47,400
  • 64. Context IV. What Neuroscience Can NOT do for Marketing Ø  Loud Ø  Claustrophobic Ø  Stationary Ø  Repetitive
  • 65. Summary: Limitations IV. What Neuroscience Can Not do for Marketing Ø  Cautionary Tales Ø  Costs Ø  Methodological Data: $17,400 Overhead: $30,000 $47,400 My product Ø  Context is “liked”
  • 66. Neuromarketing: Conclusions Promise Caution Data: $17,400 Overhead: $30,0 00 $47,400