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Motivation based Marketing
Alex Bordei, director of product and development
• Specialized in distributed computing, HPC and high
performance architectures
• In charge of product development and sometimes big
data bootstrapping consultancy
About me
Alex Bordei
Director of Product and Development @ Bigstep
@axbrd
1. Utilitarian vs Hedonistic models
2. Motivation based product descriptions
3. Shopping cart abandonment
4. Determining who is hedonistic and who is utilitarian
5. Technicalities of big data approaches
6. Legal considerations
7. Ethical considerations
Agenda
O = Openness to experience
Low = conventional, traditional
High = curious, adventurous
Personality facets: Adventurousness, Artistic interests, Emotionality, Imagination,
Intellect, Liberalism
C = Conscientiousness
Low = impulsive, disorganized
High = self-disciplined, methodical
Personality facets: Achievement-striving, Cautiousness, Dutifulness, Orderliness,
Self-discipline, Self-efficacy
E = Extraversion
Low = quiet, reserved,
High = social, gregarious
Personality facets: Activity level, Assertiveness, Cheerfulness, Excitement-seeking,
Friendliness, Gregariousness
A = Agreeableness
Low = skeptical, self-interested
High = trusting, group-oriented
Personality facets: Altruism, Cooperation, Modesty, Morality, Sympathy, Trust
N = Neuroticism (also called “Emotional stability”)
Low = calm, unflappable
High = worries more, easily made anxious
Personality facets: Anger, Anxiety, Depression, Immoderation, Self-consciousness,
Vulnerability
The Big Five Personality Traits
Hedonic shoppers
Openness to Experience,
Agreeableness,
Extroversion
Utilitarian shoppers
Emotional Stability,
Conscientiousness
source: Gianluigi Guido (2006) Shopping Motives, Big Five Factors, and the Hedonic/Utilitarian Shopping Value: An Integration and Factorial Study
Meta-traits (motivations)
Motivation based product descriptions
Actual product:Lark & RO
“Our ultrasoft turtleneck sweater offers the
comfort of luxurious knit cashmere in
a stylish and cozy top you’ll love.”
“This slightly fitted turtleneck is a blend of 95%
cashmere and 5% cotton in jersey-knit
construction”
hedonic utilitarian
Shopping cart abandonment
source: Baymard Institute (2017) E-Commerce Checkout Usability https://baymard.com/lists/cart-abandonment-rate (accessed 22 may 2018)
69.23%
average documented online shopping cart abandonment rate
Shopping cart abandonment
source: https://www.shopify.ca/blog/8484093-why-online-retailers-are-losing-67-45-of-sales-and-what-to-do-about-it
(accessed 22 may 2018)
Shopping cart abandonment
source: https://www.shopify.ca/blog/8484093-why-online-retailers-are-losing-67-45-of-sales-and-what-to-do-about-it
(accessed 22 may 2018)
?
Shopping cart abandonment
source: Baymard Institute (2017) E-Commerce Checkout Usability https://baymard.com/lists/cart-abandonment-rate (accessed 22 may 2018)
58.6%
of US online shoppers have abandoned a cart within the last 3 months because
“I was just browsing / not ready to buy”
Shopping cart abandonment
Hedonic
Shopping cart abandonment
[…] Hedonically motivated shopper doesn’t need to complete the transaction.
The shopping experience itself was the outcome they desired. They don’t
need to buy to get satisfaction; they need only browse.
source: https://unbounce.com/conversion-rate-optimization/hedonic-shoppers/ accessed 2018
Shopping cart abandonment
1.Get an email address or other means of contact if available
2.Remarket to hedonic cart abandoners through triggered emails
3.Promise hedonic shoppers more of the rich, engaging experiences they desire
within your emails
source: https://unbounce.com/conversion-rate-optimization/hedonic-shoppers/ accessed 2018
Shopping cart abandonment - What to do about it
Determining who is “hedonic” and who’s not
A.IPIP Big-Five Factor Markers
B.Proxy via products purchased with machine
learning on the full dataset (a.k.a big data)
source: IPIP Big Five Factor Markers, openpsychometrics.org accessed 22 may 2018
apparel
books, music, and movies
flowers
jewelry
…
luxury items
Hedonic Products
Hedonic Products: Products associated with experimentation, enthusiasm,
satisfaction and pleasure, typically leading to emotional gratification.
Source: Diffusion of Hedonic Goods: A Literature Review
Product-specific parameters Hedonic Goods Utilitarian Goods
Type of good Experience Search
Quality uncertainty Relatively high Relatively low
Attributes Subjective, symbolic/aesthetic, intangible,
scarce
Objective
Seasonality seasonal goods often mass products
Diversity Dependent Independent
Life cycle Unique Multiple versions of one product Bell-shaped
curve; time frame of sales
Demand-specific parameters Rapidly declining; short time frame (few
weeks)
depends on product (years)
Consumption risk Relatively high (economic and social risks)
Multisensory, varying
Relatively low (economic and technical risks)
Not multisensory
Consumption experience Low cognitive involvement, high emotional High cognitive involvement
Involvement Involvement involvement
Product valuation Emotional, subjective Rational
Purchase motives Emotional, variety-seeking, expression of
individuality and subjectivity, symbolic
character
Rational
Purchase decision Holistic choice (depends on subjective product
features)
solution of problems
Type of purchase Impulsive objective product features) Convenience
Consumption frequency Limited Depends on product
Example music, films, books, performing arts washing machines, yogurt
Determining if a product is hedonic or not
Hedonic Utilitarian
Source: M. Clement, S. Fabel, and C. Schmidt-Stölting (2008) Diffusion of Hedonic Goods: A Literature Review, The
International Journal on Media Management, 8(4), 155–163
Hedonic versus utilitarian products lifetime
Source: Diffusion of Hedonic Goods: A Literature Review
Hedonic products “signatures”
Source: Diffusion of Hedonic Goods: A Literature Review
hedonic products “signatures”
“Blockbuster” movies “Sleeper” movies
Big Data Technicalities - Labeling products
Big Data Technicalities - Labeling Customers
Using the data
Legal Considerations
Is this GDPR compliant?
GDPR Considerations
It is GDPR compliant:
1. The input data (purchase history of a customer) is collected legitimately and
should not need consent
2. The use of the above data for improving one’s services is part of the legitimate
use
3. The profiling that gets done does not produce legal effectsHowever:
A. Right to object: The user must be able to object to the profiling
B. Notice and access: The user must be aware that this profiling is happening
and the logic involved
C. Privacy by design: The data must be stored securely, need data impact
assessments
Ethical Considerations
Is this ethical?
Ethical Considerations
It’s not a form of manipulation if the user is aware of it.
Also:
- We’re not determining your full personality profile (the big 5), only an inclination that any
human would be determine in a dialogue with that person.
- Tailoring product’s presentation improves the experience of both hedonistic and
utilitarian shoppers
However:
- The border between optimization and manipulation is not very clear
@axbrd
@bigstepinc
bigstep.com
I’m all ears
Other resources:
1.https://static1.squarespace.com/static/50a5e160e4b0e80bad9bfe3d/t/50ac6e29e4
2.https://www.emeraldinsight.com/doi/abs/10.1108/IJRDM-07-2012-0065
3.https://conversionxl.com/research-study/utility-vs-hedonism/
4.https://www.sciencedirect.com/science/article/pii/S1057740816300328
5.http://www.acrwebsite.org/volumes/v36/naacr_vol36_217.pdf
6.https://businessperspectives.org/images/pdf/applications/publishing/templates/arti
7.https://www.researchgate.net/publication/311562040_A_Preliminary_Examination
8.http://www.richardbenjamintrust.co.uk/uploads/finalreports/2013/DStillwell.pdf
9.https://applymagicsauce.com
Source: Youyou et al. (2014) Computer-based personality judgments are more accurate than those made by humans pnas.1418680112
Computer-based personality judgments are more
accurate than those made by humans
Source: Youyou et al. (2014) Computer-based personality judgments are more accurate than those made by humans pnas.1418680112
Computer-based personality judgments are more
accurate than those made by humans

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Best Marketing 2018 - Alex Bordei, Bigstep

  • 1. Motivation based Marketing Alex Bordei, director of product and development
  • 2. • Specialized in distributed computing, HPC and high performance architectures • In charge of product development and sometimes big data bootstrapping consultancy About me Alex Bordei Director of Product and Development @ Bigstep @axbrd
  • 3. 1. Utilitarian vs Hedonistic models 2. Motivation based product descriptions 3. Shopping cart abandonment 4. Determining who is hedonistic and who is utilitarian 5. Technicalities of big data approaches 6. Legal considerations 7. Ethical considerations Agenda
  • 4. O = Openness to experience Low = conventional, traditional High = curious, adventurous Personality facets: Adventurousness, Artistic interests, Emotionality, Imagination, Intellect, Liberalism C = Conscientiousness Low = impulsive, disorganized High = self-disciplined, methodical Personality facets: Achievement-striving, Cautiousness, Dutifulness, Orderliness, Self-discipline, Self-efficacy E = Extraversion Low = quiet, reserved, High = social, gregarious Personality facets: Activity level, Assertiveness, Cheerfulness, Excitement-seeking, Friendliness, Gregariousness A = Agreeableness Low = skeptical, self-interested High = trusting, group-oriented Personality facets: Altruism, Cooperation, Modesty, Morality, Sympathy, Trust N = Neuroticism (also called “Emotional stability”) Low = calm, unflappable High = worries more, easily made anxious Personality facets: Anger, Anxiety, Depression, Immoderation, Self-consciousness, Vulnerability The Big Five Personality Traits
  • 5. Hedonic shoppers Openness to Experience, Agreeableness, Extroversion Utilitarian shoppers Emotional Stability, Conscientiousness source: Gianluigi Guido (2006) Shopping Motives, Big Five Factors, and the Hedonic/Utilitarian Shopping Value: An Integration and Factorial Study Meta-traits (motivations)
  • 6. Motivation based product descriptions Actual product:Lark & RO “Our ultrasoft turtleneck sweater offers the comfort of luxurious knit cashmere in a stylish and cozy top you’ll love.” “This slightly fitted turtleneck is a blend of 95% cashmere and 5% cotton in jersey-knit construction” hedonic utilitarian
  • 7. Shopping cart abandonment source: Baymard Institute (2017) E-Commerce Checkout Usability https://baymard.com/lists/cart-abandonment-rate (accessed 22 may 2018) 69.23% average documented online shopping cart abandonment rate
  • 8. Shopping cart abandonment source: https://www.shopify.ca/blog/8484093-why-online-retailers-are-losing-67-45-of-sales-and-what-to-do-about-it (accessed 22 may 2018)
  • 9. Shopping cart abandonment source: https://www.shopify.ca/blog/8484093-why-online-retailers-are-losing-67-45-of-sales-and-what-to-do-about-it (accessed 22 may 2018) ?
  • 10. Shopping cart abandonment source: Baymard Institute (2017) E-Commerce Checkout Usability https://baymard.com/lists/cart-abandonment-rate (accessed 22 may 2018) 58.6% of US online shoppers have abandoned a cart within the last 3 months because “I was just browsing / not ready to buy”
  • 13. […] Hedonically motivated shopper doesn’t need to complete the transaction. The shopping experience itself was the outcome they desired. They don’t need to buy to get satisfaction; they need only browse. source: https://unbounce.com/conversion-rate-optimization/hedonic-shoppers/ accessed 2018 Shopping cart abandonment
  • 14. 1.Get an email address or other means of contact if available 2.Remarket to hedonic cart abandoners through triggered emails 3.Promise hedonic shoppers more of the rich, engaging experiences they desire within your emails source: https://unbounce.com/conversion-rate-optimization/hedonic-shoppers/ accessed 2018 Shopping cart abandonment - What to do about it
  • 15. Determining who is “hedonic” and who’s not A.IPIP Big-Five Factor Markers B.Proxy via products purchased with machine learning on the full dataset (a.k.a big data) source: IPIP Big Five Factor Markers, openpsychometrics.org accessed 22 may 2018
  • 16. apparel books, music, and movies flowers jewelry … luxury items Hedonic Products Hedonic Products: Products associated with experimentation, enthusiasm, satisfaction and pleasure, typically leading to emotional gratification.
  • 17. Source: Diffusion of Hedonic Goods: A Literature Review Product-specific parameters Hedonic Goods Utilitarian Goods Type of good Experience Search Quality uncertainty Relatively high Relatively low Attributes Subjective, symbolic/aesthetic, intangible, scarce Objective Seasonality seasonal goods often mass products Diversity Dependent Independent Life cycle Unique Multiple versions of one product Bell-shaped curve; time frame of sales Demand-specific parameters Rapidly declining; short time frame (few weeks) depends on product (years) Consumption risk Relatively high (economic and social risks) Multisensory, varying Relatively low (economic and technical risks) Not multisensory Consumption experience Low cognitive involvement, high emotional High cognitive involvement Involvement Involvement involvement Product valuation Emotional, subjective Rational Purchase motives Emotional, variety-seeking, expression of individuality and subjectivity, symbolic character Rational Purchase decision Holistic choice (depends on subjective product features) solution of problems Type of purchase Impulsive objective product features) Convenience Consumption frequency Limited Depends on product Example music, films, books, performing arts washing machines, yogurt Determining if a product is hedonic or not
  • 18. Hedonic Utilitarian Source: M. Clement, S. Fabel, and C. Schmidt-Stölting (2008) Diffusion of Hedonic Goods: A Literature Review, The International Journal on Media Management, 8(4), 155–163 Hedonic versus utilitarian products lifetime
  • 19. Source: Diffusion of Hedonic Goods: A Literature Review Hedonic products “signatures”
  • 20. Source: Diffusion of Hedonic Goods: A Literature Review hedonic products “signatures” “Blockbuster” movies “Sleeper” movies
  • 21. Big Data Technicalities - Labeling products
  • 22. Big Data Technicalities - Labeling Customers
  • 24. Legal Considerations Is this GDPR compliant?
  • 25. GDPR Considerations It is GDPR compliant: 1. The input data (purchase history of a customer) is collected legitimately and should not need consent 2. The use of the above data for improving one’s services is part of the legitimate use 3. The profiling that gets done does not produce legal effectsHowever: A. Right to object: The user must be able to object to the profiling B. Notice and access: The user must be aware that this profiling is happening and the logic involved C. Privacy by design: The data must be stored securely, need data impact assessments
  • 27. Ethical Considerations It’s not a form of manipulation if the user is aware of it. Also: - We’re not determining your full personality profile (the big 5), only an inclination that any human would be determine in a dialogue with that person. - Tailoring product’s presentation improves the experience of both hedonistic and utilitarian shoppers However: - The border between optimization and manipulation is not very clear
  • 29.
  • 31. Source: Youyou et al. (2014) Computer-based personality judgments are more accurate than those made by humans pnas.1418680112 Computer-based personality judgments are more accurate than those made by humans
  • 32. Source: Youyou et al. (2014) Computer-based personality judgments are more accurate than those made by humans pnas.1418680112 Computer-based personality judgments are more accurate than those made by humans