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Behavioral Advertising
The academic perspective
dr. Sophie Boerman Masterclass UT
Oct 2, 2017
3
8
Personalizing advertising
The future of advertising
https://www.youtube.com/watch?v=7bXJ_obaiYQ
OBA
 Personalizing advertising is seen as the future of
advertising.
 Advertisers say click through rates increase with 670%
and doubles conversion.
(Beales, 2010, Chen & Stallaert, 2014)
OBA: privacy debate
 OBA has also received a lot of attention of
regulators, lawmakers, consumer protection
organizations, and scholars.
But what do we
know about OBA?
Aims of our literature review
1) Define OBA;
2) Provide an overview of the empirical findings regarding OBA
by developing a framework that identifies and integrates all
factors that can explain consumer responses towards OBA;
3) Provide an overview of the theoretical positioning of OBA
by placing the theories that are used to explain consumers’
responses to OBA in our framework;
4) Develop a research agenda.
12
Literature review
 Databases: PsycINFO, Web of Science, Communication &
Mass Media Complete, Academic Search Premier, database
of the World Advertising Research Center
 Search terms: “online behavioral / behavioural advertising”,
“online behavioral / behavioural targeting”, “customized /
customised advertising”, “personalized / personalized (online)
advertising”, “online profiling”
Literature review
 32 empirical studies
21 journal articles
6 conference proceedings
1 book chapter
4 online manuscripts
 2008 - 2016
Aim 1. Define online behavioral
advertising
“The practice of monitoring people’s online
behavior and using the collected information to
show people individually targeted advertisements”
Aim 2. Overview of empirical research
 Relationships with empirical support
 Find all variables that are of importance to
understand responses to OBA
 Group variables into main factors
Aim 2: Overview of empirical research
17
Advertiser-controlled factors Consumer-controlled factors Outcomes
Aim 2: Overview of empirical research
18
Advertiser-controlled
factors
19
Advertiser-controlled factors
Ad characteristics
 Level of personalization (type and amount of information used)
and accuracy influence
• consumer-related factors (e.g., feelings of intrusiveness,
perceived usefulness, reactance, and privacy concerns)
• OBA outcomes (e.g., click-through intentions and rates)
Advertiser-controlled factors
Transparancy
 Current transparency approaches (informed consents, logos)
hardly read nor understood, and often ineffective
Consumer-controlled
factors
22
Consumer-controlled factors
Knowledge and abilities
 Consumers have little knowledge about OBA and hold
misconceptions.
 A minority of consumers do want to protect their
personal data but often do not know why and how.
Consumer-controlled factors
Perceptions
 Some see the benefits of OBA
 But majority seem to be skeptical towards OBA, and find it
invasive and “creepy”.
 Privacy concerns and trust play important role in consumer
acceptance and effects of OBA.
Consumer-controlled factors
Consumer characteristics
 Responses to OBA differ between consumers based on
• Levels of privacy concerns
• Desire for privacy
• Decision stage, needs
• Education
• Age
• Online experience
Outcomes
26
OBA Outcomes
Advertising effects
 OBA can increase click through intentions
and rates, purchase intentions and actual
purchases.
 Transparency appreciated and positive
influence on brand recall and ad
relevance
OBA Outcomes
Advertising effects
 OBA can increase click through rates and
purchases.
depending on various moderators and
mediators (e.g., experienced vulnerability,
feelings of intrusiveness, trust in retailer)
 You can go too far, leading to negative
feelings such as privacy concerns,
perceived vulnerability, reactance.
OBA Outcomes
OBA acceptance and resistance
 People’s acceptance and avoidance of OBA depend on
• Privacy concerns
• Skepticism
• Perceived personalization
• Transparency
Aim 3: Theoretical positioning of OBA
30
Aim 4: Research Agenda
1. Theoretical Advancement
2. Understand Acceptance of and Resistance toward OBA
3. Empower the Consumer
4. Novel Methodological Approaches
31
Theoretical Advancement
 Field is fragmented
 Research often lacks solid theoretical basis
32
Understand Acceptance of
and Resistance toward OBA
 Why do people like or dislike OBA?
 Tipping point: What levels of personalization are acceptable?
 Who is more likely to accept?
33
Empower the Consumer
 Knowledge is limited: How can we educate people about OBA?
 How can we learn them to protect their online privacy?
 How can we make transparency approaches more effective?
34
Novel Methodological Approaches
 Now: mostly scenario-based experiments, but also field
experiments, surveys, content analysis, focus groups
 Combine data sources, big data
 Tracking consumers’ online behavior
 Implicit, unobtrusive measures to gain insights into
processing (e.g., eye tracking)
 Longitudinal studies to examine changes over time
35
Take away
 OBA seen as the future of advertising
 Academic research adds nuance
 Yes, OBA can positively influence click through rates
and purchases
 But you can go too far
 People have privacy concerns and find it ‘creepy’
 Transparency appreciated and beneficial for advertisers
Thank you!
dr. Sophie Boerman
s.c.boerman@uva.nl
@sophieboerman
personalised-communication.net

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Presentation: The academic perspective (Boerman)

  • 1. Behavioral Advertising The academic perspective dr. Sophie Boerman Masterclass UT Oct 2, 2017
  • 2.
  • 3. 3
  • 4.
  • 5.
  • 6.
  • 7.
  • 8. 8 Personalizing advertising The future of advertising https://www.youtube.com/watch?v=7bXJ_obaiYQ
  • 9. OBA  Personalizing advertising is seen as the future of advertising.  Advertisers say click through rates increase with 670% and doubles conversion. (Beales, 2010, Chen & Stallaert, 2014)
  • 10. OBA: privacy debate  OBA has also received a lot of attention of regulators, lawmakers, consumer protection organizations, and scholars.
  • 11. But what do we know about OBA?
  • 12. Aims of our literature review 1) Define OBA; 2) Provide an overview of the empirical findings regarding OBA by developing a framework that identifies and integrates all factors that can explain consumer responses towards OBA; 3) Provide an overview of the theoretical positioning of OBA by placing the theories that are used to explain consumers’ responses to OBA in our framework; 4) Develop a research agenda. 12
  • 13. Literature review  Databases: PsycINFO, Web of Science, Communication & Mass Media Complete, Academic Search Premier, database of the World Advertising Research Center  Search terms: “online behavioral / behavioural advertising”, “online behavioral / behavioural targeting”, “customized / customised advertising”, “personalized / personalized (online) advertising”, “online profiling”
  • 14. Literature review  32 empirical studies 21 journal articles 6 conference proceedings 1 book chapter 4 online manuscripts  2008 - 2016
  • 15. Aim 1. Define online behavioral advertising “The practice of monitoring people’s online behavior and using the collected information to show people individually targeted advertisements”
  • 16. Aim 2. Overview of empirical research  Relationships with empirical support  Find all variables that are of importance to understand responses to OBA  Group variables into main factors
  • 17. Aim 2: Overview of empirical research 17 Advertiser-controlled factors Consumer-controlled factors Outcomes
  • 18. Aim 2: Overview of empirical research 18
  • 20. Advertiser-controlled factors Ad characteristics  Level of personalization (type and amount of information used) and accuracy influence • consumer-related factors (e.g., feelings of intrusiveness, perceived usefulness, reactance, and privacy concerns) • OBA outcomes (e.g., click-through intentions and rates)
  • 21. Advertiser-controlled factors Transparancy  Current transparency approaches (informed consents, logos) hardly read nor understood, and often ineffective
  • 23. Consumer-controlled factors Knowledge and abilities  Consumers have little knowledge about OBA and hold misconceptions.  A minority of consumers do want to protect their personal data but often do not know why and how.
  • 24. Consumer-controlled factors Perceptions  Some see the benefits of OBA  But majority seem to be skeptical towards OBA, and find it invasive and “creepy”.  Privacy concerns and trust play important role in consumer acceptance and effects of OBA.
  • 25. Consumer-controlled factors Consumer characteristics  Responses to OBA differ between consumers based on • Levels of privacy concerns • Desire for privacy • Decision stage, needs • Education • Age • Online experience
  • 27. OBA Outcomes Advertising effects  OBA can increase click through intentions and rates, purchase intentions and actual purchases.  Transparency appreciated and positive influence on brand recall and ad relevance
  • 28. OBA Outcomes Advertising effects  OBA can increase click through rates and purchases. depending on various moderators and mediators (e.g., experienced vulnerability, feelings of intrusiveness, trust in retailer)  You can go too far, leading to negative feelings such as privacy concerns, perceived vulnerability, reactance.
  • 29. OBA Outcomes OBA acceptance and resistance  People’s acceptance and avoidance of OBA depend on • Privacy concerns • Skepticism • Perceived personalization • Transparency
  • 30. Aim 3: Theoretical positioning of OBA 30
  • 31. Aim 4: Research Agenda 1. Theoretical Advancement 2. Understand Acceptance of and Resistance toward OBA 3. Empower the Consumer 4. Novel Methodological Approaches 31
  • 32. Theoretical Advancement  Field is fragmented  Research often lacks solid theoretical basis 32
  • 33. Understand Acceptance of and Resistance toward OBA  Why do people like or dislike OBA?  Tipping point: What levels of personalization are acceptable?  Who is more likely to accept? 33
  • 34. Empower the Consumer  Knowledge is limited: How can we educate people about OBA?  How can we learn them to protect their online privacy?  How can we make transparency approaches more effective? 34
  • 35. Novel Methodological Approaches  Now: mostly scenario-based experiments, but also field experiments, surveys, content analysis, focus groups  Combine data sources, big data  Tracking consumers’ online behavior  Implicit, unobtrusive measures to gain insights into processing (e.g., eye tracking)  Longitudinal studies to examine changes over time 35
  • 36. Take away  OBA seen as the future of advertising  Academic research adds nuance  Yes, OBA can positively influence click through rates and purchases  But you can go too far  People have privacy concerns and find it ‘creepy’  Transparency appreciated and beneficial for advertisers
  • 37.
  • 38. Thank you! dr. Sophie Boerman s.c.boerman@uva.nl @sophieboerman personalised-communication.net