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OFF THE
WALL:A content analysis of word-of-mouth on Vans’
Facebook community
Chris Huebner
DEVELOP A COMPREHENSIVE UNDERSTANDING OF
WHY CONSUMERS PERFORM WORD-OF-MOUTH
Word-of-mouth generates
3.3 billion brand
impressions each day.
Stronger long-term
effect than
traditional
media
More
trustworthy
than traditional
advertising
Consumer
Perceptions.
Attitudes. Purchase
Intentions.
Behavior.
The Social Media Effect
Created the need to harness and
capture the power of word-of-mouth
Motivations?
Social media platforms provide a rich opportunity to observe word-
of-mouth in context and as it occurs.
Social media and online environments strengthen our understanding of
WOM in that:
Allows for open, anonymous and
dexcontextualized participation
Participation is digitally archived
Researchers can directly quote and
record references made within
specific content or conversations
Purpose statement: Begin to develop an understanding of why consumers share
their experiences with products and services by systematically observing what
consumers are posting.
RQ1: What are the key
themes found in the
performance of eWOM?
Performed a systematic,
observational content
analysis of Vans’ Facebook
page from
May 1 – July 17. 2014
Screen captured 892 posts
VANS INC
Founded in 1966
1,885 employees
“has stood for authenticity in
youth lifestyle, music and action
sports since day one”.
$1 billion in sales (2012)
Over 13 million fans
151,000 interactions
10%
59%
6%
1%
24%
Post (n=892)
Service Related Posts
Vender Promotions
Sponsored Athletes
Bots/Unreadable
Word-of-mouth
205 screen captures of word-of-mouth
Clarke and Braun’s (2006) six-step thematic approach to content analysis
Familiarization
Coding
system
Identify
themes
Name
themes
Review
themes
Report
Brand (61)
Product (106)
General (38)
Initial coding scheme:
• Brand Affect (27)
• Experience (5)
• Relation to Family (13)
• Brand Art (16)
Brand (61)
• Product Affect (38)
• Customization (13)
• History (9)
• Post-purchase (36)
• Collection (10)
Product (106)
• Document (14)
• Experience (24)
General (38)
Categories and themes:
Brand: Relation to family
Product: Customization
General: Experience
This project supported research that suggests eWOM on social media sites is
primarily driven by social driver
Signal shared or unique identity
DISCUSSION
Supported Cheema and
Kaikati (2010) and Wien and
Olsen’s (2014) findings.
Signaled uniqueness through
customization and historical
references
‘Post-purchase’ often
documented limited edition
Vans
Signal shared or unique identity
This project supported research that suggests eWOM on social media sites is
primarily driven by social driver
(or) to self-enhance
DISCUSSION
(or) to self-enhance
Brand identification positively influences eWOM intention by way of brand
loyalty and community identification (Yeh and Choi, 2014)
Supported Yeh and Choi’s
research that suggest fan self-
enhance by expressing brand
loyalty and identification
Found across all three broad
categories
Majority of posts were user-generated photographs
Suggests eWOM was not spontaneous, but calculated (Smith, Fischer and
Yongjian, 2012).
Alleviate brand/self centrality concerns
DISCUSSION
Supported the findings of East, Hammond and Wright (2007)
Majority of eWOM was positive
According to De Angelis et al. (2012) result of self-enhancement
DISCUSSION
IMPLICATIONS
(1) Powerful effect on
traditional marketing
activities
(2) Endogenous effect on
brand identity
IMPLICATIONS
(1) Powerful effect on
traditional marketing
activities
Online WOM can lead to more
promotion and stimulate other
components of marketing mix
IMPLICATIONS
(1) Powerful effect on
traditional marketing
activities
Fans document personal narratives,
ideal for marketing messages
IMPLICATIONS
(2) Endogenous effect on
brand identity
Brands have both functional value
and emotional value
On Facebook fans are co-creating
brand identity
When managed correctly, user-
generated content can strength
brand identity (Shachar and Kuksov,
2010)
CONCLUSION:
First step: Categorize the
performance of WOM
Provided coding strategy to
categories themes of WOM
Found that product affect,
post-purchase and brand
affect were the dominate
themes
Develop a comprehensive understanding of why people are motivated to share their
experiences with products and services

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Off the Wall: A Content Analysis of Word-of-Mouth

  • 1. OFF THE WALL:A content analysis of word-of-mouth on Vans’ Facebook community Chris Huebner
  • 2. DEVELOP A COMPREHENSIVE UNDERSTANDING OF WHY CONSUMERS PERFORM WORD-OF-MOUTH
  • 3.
  • 4.
  • 5.
  • 6. Word-of-mouth generates 3.3 billion brand impressions each day.
  • 7.
  • 10. Created the need to harness and capture the power of word-of-mouth
  • 12. Social media platforms provide a rich opportunity to observe word- of-mouth in context and as it occurs.
  • 13. Social media and online environments strengthen our understanding of WOM in that: Allows for open, anonymous and dexcontextualized participation Participation is digitally archived Researchers can directly quote and record references made within specific content or conversations
  • 14. Purpose statement: Begin to develop an understanding of why consumers share their experiences with products and services by systematically observing what consumers are posting.
  • 15. RQ1: What are the key themes found in the performance of eWOM? Performed a systematic, observational content analysis of Vans’ Facebook page from May 1 – July 17. 2014 Screen captured 892 posts
  • 16. VANS INC Founded in 1966 1,885 employees “has stood for authenticity in youth lifestyle, music and action sports since day one”. $1 billion in sales (2012) Over 13 million fans 151,000 interactions
  • 17. 10% 59% 6% 1% 24% Post (n=892) Service Related Posts Vender Promotions Sponsored Athletes Bots/Unreadable Word-of-mouth
  • 18.
  • 19. 205 screen captures of word-of-mouth Clarke and Braun’s (2006) six-step thematic approach to content analysis Familiarization Coding system Identify themes Name themes Review themes Report
  • 20. Brand (61) Product (106) General (38) Initial coding scheme:
  • 21. • Brand Affect (27) • Experience (5) • Relation to Family (13) • Brand Art (16) Brand (61) • Product Affect (38) • Customization (13) • History (9) • Post-purchase (36) • Collection (10) Product (106) • Document (14) • Experience (24) General (38) Categories and themes:
  • 25. This project supported research that suggests eWOM on social media sites is primarily driven by social driver Signal shared or unique identity DISCUSSION
  • 26. Supported Cheema and Kaikati (2010) and Wien and Olsen’s (2014) findings. Signaled uniqueness through customization and historical references ‘Post-purchase’ often documented limited edition Vans Signal shared or unique identity
  • 27. This project supported research that suggests eWOM on social media sites is primarily driven by social driver (or) to self-enhance DISCUSSION
  • 28. (or) to self-enhance Brand identification positively influences eWOM intention by way of brand loyalty and community identification (Yeh and Choi, 2014) Supported Yeh and Choi’s research that suggest fan self- enhance by expressing brand loyalty and identification Found across all three broad categories
  • 29. Majority of posts were user-generated photographs Suggests eWOM was not spontaneous, but calculated (Smith, Fischer and Yongjian, 2012). Alleviate brand/self centrality concerns DISCUSSION
  • 30. Supported the findings of East, Hammond and Wright (2007) Majority of eWOM was positive According to De Angelis et al. (2012) result of self-enhancement DISCUSSION
  • 31. IMPLICATIONS (1) Powerful effect on traditional marketing activities (2) Endogenous effect on brand identity
  • 32. IMPLICATIONS (1) Powerful effect on traditional marketing activities Online WOM can lead to more promotion and stimulate other components of marketing mix
  • 33. IMPLICATIONS (1) Powerful effect on traditional marketing activities Fans document personal narratives, ideal for marketing messages
  • 34. IMPLICATIONS (2) Endogenous effect on brand identity Brands have both functional value and emotional value On Facebook fans are co-creating brand identity When managed correctly, user- generated content can strength brand identity (Shachar and Kuksov, 2010)
  • 35. CONCLUSION: First step: Categorize the performance of WOM Provided coding strategy to categories themes of WOM Found that product affect, post-purchase and brand affect were the dominate themes Develop a comprehensive understanding of why people are motivated to share their experiences with products and services

Editor's Notes

  1. Westbrook defin