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Viral Marketing Strategies
on Facebook
Analysis, experimentations and case studies
on initial seeding populations
Ph.D. dissertation defended by Nasri Messarra, on Dec. 08, 2015 before the following jury:
Anne Mione
Professeur à l'Université de Montpellier
Directeur de thèse
Christine Balagué
Maître de Conférences HDR, Telecom Ecole de
Management, Paris
Rapporteur
Gilles Paché
Professeur à l'Université d'Aix Marseille
Rapporteur
Frédéric Le Roy
Professeur à l'Université de Montpellier
Examinateur
Gilles N'Goala
Professeur à l'Université de Montpellier
Examinateur
Laurence Saglietto
Maître de conférences HDR à l'Université de Nice
Examinateur
2
Context
2
Contexte Littérature Problématique Méthode Résultats Discussion
• 1 400 000 000 users on Facebook (Social Bakers, 2015)
• 936 000 000 daily active users (Social Bakers, 2015)
• Positive mobilisation: the “ice-bucket challenge”, 2 400 000 user generated
videos on Facebook (Phing & Yazdanifard, 2014),
$98 200 000 in donations against $2 700 000 usually (BBC News, 2014)
• Negative mobilisation: Pampers, Nestlé, Caribou, Bershka… (Fournier &
Avery, 2011) – Procter & Gamble’s shares drop by 27% (Bloomberg, 2010)
• Brands have to consider the positive and the negative impact of virality on
online social networks and identify the means to control marketing
strategies in this new promising but dangerous environment.
Literature
3
Contexte Littérature Problématique Méthode Résultats Discussion
Graph theory (Euler, 1786; Harary, 1969) and its
applications in sociology (Granovetter, 1973)
The value of a social network (Reed, 2001)
The diffusion of information (Hinz & al., 2011; Smith
& al., 2014)
Virality (Hinz & al, 2001; Booth & Matic, 2001;
Bampo & al., 2008)
Initial seeding populations (Hinz & al., 2011; Watts
& Dodds, 2007; Liu-Thompkins, 2012)
Research Problem
4
Contexte Littérature Problématique Méthode Résultats Discussion
How to create initial seeding populations to optimize viral
marketing strategies on Facebook?
Viral Marketing
Strategy
The Messenger
(Valente, 2010)
Message /
Content
(Rowley, 2008)
Network
Structure
(Bampo, 2008)
Initial seeding
populations (Liu-
Thompkins, 2012)
Behavior of the
recipients
(Arndt, 1967)
Method,Experiments
andWorkinprogress
5
Contexte Littérature Problématique Méthode Résultats DiscussionViral Marketing Strategies on Facebook
Initial Seeding Populations
Nasri Messarra, Work in Progress, 2016
OptimizingInitialSeeding
Populations
SocialNetworksand
Marketing
UsingInitialSeeding
PopulationsforDiffusion
Synthesis: Facebook channels and
marketing strategies
- to be published in Proche-Orient
Etudes en management, Nov. 2016 -
Spartacus Experiment: is a network
of hubs a good seeding population?
----- EURAS Proceedings, 2012 -----
--- Article to be written ----
Experience 3: Easily Influenced
People to diffuse NWoM
---- INSNA, 2014 ----
---- Dauphine, 2014 ----
---- JAR – Rejected third review ----
--- to be resubmitted to another
journal ----
Experience 4: Finding political bridging nodes on Facebook
-- Marketing Science Conf., 2015 --
- rejected by JEM: “The paper presents a case comprising very interesting insights into
online social networks from a political perspective and a self-developed social media
analytic tool. You have done your research quite well. However, I am very sorry to inform
you that your paper due to its political subject and, in particular, the problem it addresses
(identifying political bridging nodes) does not fit in the scope of the Journal Electronic
Markets” -
Experience 5: SWT and
Personal Branding on
Facebook
---- ICTO, 2016 ----
---- Best paper Award ---
--- Submitted to MKSC (8/
16) -
Experience 1: Can we recreate
Facebook users’ social graph?
---- Article on fake Profiles as a
diffusion vector --
---- Article on ethics in research on
OSN (Chapter 2 of the thesis) –
paper in progress
Friend or Brand? The choice of
Facebook channel for viral marketing
- The article was rejected by JIM: “The
paper contains some interesting ideas,
but does not far enough […]
Some proof of concept is needed.” -
A two years experiment has been
conducted and the article will be
resubmitted in 2 months
Experiment 1: Rebuilding the hidden network
of friends of Facebook users
6
Contexte Littérature Problématique Méthode Résultats Discussion
Problem
Can we
rebuild the
network
structure of
the hidden
friends of a
Facebook
user? Method
4 real and 4
fake
profiles
using the
“mutual
friends”
function
Results
Between
4% and
28% of the
social
graph of
each user is
rebuilt
The “Spartacus” experiment – Is a network
of hubs a good seeding population?
7
Contexte Littérature Problématique Méthode Résultats Discussion
Problem Can we create
a network of
hubs around a
fake profile?
Will this
network be a
good seeding
population
(Hinz & al.)? Method
Creation of a
fake profile
that sends
requests to
“somebodies”
(Booth &
Matic) only.
2 steps
experiments (2
years and 4
years).
Results
264 friends
attracted after
the critical
mass of 200
friends.
A fake profile is
not a good
vector for
information
diffusion.
Experiment 3: The determinant role of the initial seeding
population in the diffusion of NWOM
8
Contexte Littérature Problématique Méthode Résultats Discussion
Problem Can a population
of « easily
influenced
people » (Watts &
Dodds) diffuse
NWOM
efficiently?
Method
Attraction of 300
engaged
consumers to a
network of
friends.
Diffusing negative
posts to this
newly created
population
Results
Virality increase
of 400%
Messages Négatifs Sur la page de
l’entreprise
Sur les faux profils Différen
ce
Fans engagés 11 37 +236%
Engagement (likes,
commentaires)
15 77 +413%
Reciprocation
(communication
d’utilisateur à
utilisateur)
0% 14.8% +14.8%
Experiment 4: Finding political bridging nodes on
Facebook
9
Contexte Littérature Problématique Méthode Résultats Discussion
Problem Can we find political
bridging nodes on
Facebook to use as
an initial seeding
population to
diffuse new ideas
(Burt)?
Method
A triangulation
system between
the networks of 3
politicians of
different
orientations
A network of
more than 15,000
users with
300,000
connections
between them
Results
3,839 bridging
nodes found
between the two
main political
groups in
Lebanon
10
Contexte Littérature Problématique Méthode Résultats Discussion
Synthesis: Rethinking marketing on Facebook
Problem
Research and
pratice are
focused on viral
marketing on
Facebook without
consideration for
the channel used
(pages, groups,
Profiles)
Methods
We create pivot
tables and
consider several
marketing
techniques on
different
Facebook
channels
Results
Marketing
method
Facebook
Profiles
Facebook
Groups
Facebook
Pages
Mass X
Niche X
Viral X
Relational X X
Viral Marketing Criteria Timelines (Personal) Groups Pages
Content1 Yes Yes Yes
Network Structure2 Yes Limited Limited
Behavior of the recipients3 Can be anticipated Can be anticipated Can be anticipated
Seeding Strategy4 Yes Limited to No Limited to Broad
Messenger5 Yes Yes Untrusted
Score 5/5 3/5 2/5
11
Contexte Littérature Problématique Méthode Résultats Discussion
A case of personal branding: Modifying the initial
seeding population over time
Problem
Can we optimize
the seeding
population of a
Facebook brand
over time?
Method
We modify the network
structure and the initial
seeding population with
every new post by
introducing weak ties to
the network (Granovetter,
Burt) and rejecting friend
requests from strong
links.
Results
A significant
increase of
engagements
(likes, comments,
shares) over two
years.
Statuses are
shared and
republished in
news papers.
Statuses
published in a
book
N Maximum Sum Mean Std. Deviation
Statistic Statistic Statistic Statistic Statistic
Likes 103 5225 20.65 18.819
Comments 31 1160 4.58 5.143
Shares 32 323 1.28 3.606
Valid N (listwise) 253
Contributions
• Initial seeding populations on Facebook
• Negative WoM on Facebook
• Viral marketing
• The creation and use of fake profiles on Facebook
Theoretical
• Different methods to extract and use social graphs
on Facebook
Methodological
• Viral marketing strategies on Facebook with optimization of
the channel and initial seeding populations
• A personal branding strategy on Facebook
• Suggestion of new marketing strategies to use on Facebook
on different channels
Managerial
12
Contexte Littérature Problématique Méthode Résultats Discussion
Limits
• Experiments on a Lebanese population: cultural differences?
• Some experiments limited to a few hundred people. The need to
push the experiments further on larger populations, different
situations, etc.
• The need to better understand the reactions of Facebook users
in each experiment.
• The need to convert the experiments to mathematical models.
• Our experiments bring answers to some problems but opens the
door to many questions. The need to push forward…
13
Contexte Littérature Problématique Méthode Résultats Discussion

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Soutenance Stratégie du marketing viral sur Facebook-v4_EN

  • 1. Viral Marketing Strategies on Facebook Analysis, experimentations and case studies on initial seeding populations Ph.D. dissertation defended by Nasri Messarra, on Dec. 08, 2015 before the following jury: Anne Mione Professeur à l'Université de Montpellier Directeur de thèse Christine Balagué Maître de Conférences HDR, Telecom Ecole de Management, Paris Rapporteur Gilles Paché Professeur à l'Université d'Aix Marseille Rapporteur Frédéric Le Roy Professeur à l'Université de Montpellier Examinateur Gilles N'Goala Professeur à l'Université de Montpellier Examinateur Laurence Saglietto Maître de conférences HDR à l'Université de Nice Examinateur
  • 2. 2 Context 2 Contexte Littérature Problématique Méthode Résultats Discussion • 1 400 000 000 users on Facebook (Social Bakers, 2015) • 936 000 000 daily active users (Social Bakers, 2015) • Positive mobilisation: the “ice-bucket challenge”, 2 400 000 user generated videos on Facebook (Phing & Yazdanifard, 2014), $98 200 000 in donations against $2 700 000 usually (BBC News, 2014) • Negative mobilisation: Pampers, Nestlé, Caribou, Bershka… (Fournier & Avery, 2011) – Procter & Gamble’s shares drop by 27% (Bloomberg, 2010) • Brands have to consider the positive and the negative impact of virality on online social networks and identify the means to control marketing strategies in this new promising but dangerous environment.
  • 3. Literature 3 Contexte Littérature Problématique Méthode Résultats Discussion Graph theory (Euler, 1786; Harary, 1969) and its applications in sociology (Granovetter, 1973) The value of a social network (Reed, 2001) The diffusion of information (Hinz & al., 2011; Smith & al., 2014) Virality (Hinz & al, 2001; Booth & Matic, 2001; Bampo & al., 2008) Initial seeding populations (Hinz & al., 2011; Watts & Dodds, 2007; Liu-Thompkins, 2012)
  • 4. Research Problem 4 Contexte Littérature Problématique Méthode Résultats Discussion How to create initial seeding populations to optimize viral marketing strategies on Facebook? Viral Marketing Strategy The Messenger (Valente, 2010) Message / Content (Rowley, 2008) Network Structure (Bampo, 2008) Initial seeding populations (Liu- Thompkins, 2012) Behavior of the recipients (Arndt, 1967)
  • 5. Method,Experiments andWorkinprogress 5 Contexte Littérature Problématique Méthode Résultats DiscussionViral Marketing Strategies on Facebook Initial Seeding Populations Nasri Messarra, Work in Progress, 2016 OptimizingInitialSeeding Populations SocialNetworksand Marketing UsingInitialSeeding PopulationsforDiffusion Synthesis: Facebook channels and marketing strategies - to be published in Proche-Orient Etudes en management, Nov. 2016 - Spartacus Experiment: is a network of hubs a good seeding population? ----- EURAS Proceedings, 2012 ----- --- Article to be written ---- Experience 3: Easily Influenced People to diffuse NWoM ---- INSNA, 2014 ---- ---- Dauphine, 2014 ---- ---- JAR – Rejected third review ---- --- to be resubmitted to another journal ---- Experience 4: Finding political bridging nodes on Facebook -- Marketing Science Conf., 2015 -- - rejected by JEM: “The paper presents a case comprising very interesting insights into online social networks from a political perspective and a self-developed social media analytic tool. You have done your research quite well. However, I am very sorry to inform you that your paper due to its political subject and, in particular, the problem it addresses (identifying political bridging nodes) does not fit in the scope of the Journal Electronic Markets” - Experience 5: SWT and Personal Branding on Facebook ---- ICTO, 2016 ---- ---- Best paper Award --- --- Submitted to MKSC (8/ 16) - Experience 1: Can we recreate Facebook users’ social graph? ---- Article on fake Profiles as a diffusion vector -- ---- Article on ethics in research on OSN (Chapter 2 of the thesis) – paper in progress Friend or Brand? The choice of Facebook channel for viral marketing - The article was rejected by JIM: “The paper contains some interesting ideas, but does not far enough […] Some proof of concept is needed.” - A two years experiment has been conducted and the article will be resubmitted in 2 months
  • 6. Experiment 1: Rebuilding the hidden network of friends of Facebook users 6 Contexte Littérature Problématique Méthode Résultats Discussion Problem Can we rebuild the network structure of the hidden friends of a Facebook user? Method 4 real and 4 fake profiles using the “mutual friends” function Results Between 4% and 28% of the social graph of each user is rebuilt
  • 7. The “Spartacus” experiment – Is a network of hubs a good seeding population? 7 Contexte Littérature Problématique Méthode Résultats Discussion Problem Can we create a network of hubs around a fake profile? Will this network be a good seeding population (Hinz & al.)? Method Creation of a fake profile that sends requests to “somebodies” (Booth & Matic) only. 2 steps experiments (2 years and 4 years). Results 264 friends attracted after the critical mass of 200 friends. A fake profile is not a good vector for information diffusion.
  • 8. Experiment 3: The determinant role of the initial seeding population in the diffusion of NWOM 8 Contexte Littérature Problématique Méthode Résultats Discussion Problem Can a population of « easily influenced people » (Watts & Dodds) diffuse NWOM efficiently? Method Attraction of 300 engaged consumers to a network of friends. Diffusing negative posts to this newly created population Results Virality increase of 400% Messages Négatifs Sur la page de l’entreprise Sur les faux profils Différen ce Fans engagés 11 37 +236% Engagement (likes, commentaires) 15 77 +413% Reciprocation (communication d’utilisateur à utilisateur) 0% 14.8% +14.8%
  • 9. Experiment 4: Finding political bridging nodes on Facebook 9 Contexte Littérature Problématique Méthode Résultats Discussion Problem Can we find political bridging nodes on Facebook to use as an initial seeding population to diffuse new ideas (Burt)? Method A triangulation system between the networks of 3 politicians of different orientations A network of more than 15,000 users with 300,000 connections between them Results 3,839 bridging nodes found between the two main political groups in Lebanon
  • 10. 10 Contexte Littérature Problématique Méthode Résultats Discussion Synthesis: Rethinking marketing on Facebook Problem Research and pratice are focused on viral marketing on Facebook without consideration for the channel used (pages, groups, Profiles) Methods We create pivot tables and consider several marketing techniques on different Facebook channels Results Marketing method Facebook Profiles Facebook Groups Facebook Pages Mass X Niche X Viral X Relational X X Viral Marketing Criteria Timelines (Personal) Groups Pages Content1 Yes Yes Yes Network Structure2 Yes Limited Limited Behavior of the recipients3 Can be anticipated Can be anticipated Can be anticipated Seeding Strategy4 Yes Limited to No Limited to Broad Messenger5 Yes Yes Untrusted Score 5/5 3/5 2/5
  • 11. 11 Contexte Littérature Problématique Méthode Résultats Discussion A case of personal branding: Modifying the initial seeding population over time Problem Can we optimize the seeding population of a Facebook brand over time? Method We modify the network structure and the initial seeding population with every new post by introducing weak ties to the network (Granovetter, Burt) and rejecting friend requests from strong links. Results A significant increase of engagements (likes, comments, shares) over two years. Statuses are shared and republished in news papers. Statuses published in a book N Maximum Sum Mean Std. Deviation Statistic Statistic Statistic Statistic Statistic Likes 103 5225 20.65 18.819 Comments 31 1160 4.58 5.143 Shares 32 323 1.28 3.606 Valid N (listwise) 253
  • 12. Contributions • Initial seeding populations on Facebook • Negative WoM on Facebook • Viral marketing • The creation and use of fake profiles on Facebook Theoretical • Different methods to extract and use social graphs on Facebook Methodological • Viral marketing strategies on Facebook with optimization of the channel and initial seeding populations • A personal branding strategy on Facebook • Suggestion of new marketing strategies to use on Facebook on different channels Managerial 12 Contexte Littérature Problématique Méthode Résultats Discussion
  • 13. Limits • Experiments on a Lebanese population: cultural differences? • Some experiments limited to a few hundred people. The need to push the experiments further on larger populations, different situations, etc. • The need to better understand the reactions of Facebook users in each experiment. • The need to convert the experiments to mathematical models. • Our experiments bring answers to some problems but opens the door to many questions. The need to push forward… 13 Contexte Littérature Problématique Méthode Résultats Discussion

Editor's Notes

  1. Monsieur le Président, mesdames, messieurs les Professeurs membres du jury, je suis honoré de vous présenter ma thèse “Stratégie du marketing viral sur Facebook: Analyses, expérimentations et études de cas sur les populations de diffusion initiales.”
  2. Lorsqu’on parle de réseaux sociaux en ligne, chaque plateforme a ses particularités et les stratégies marketing devraient donc être différentes. Facebook est aujourd’hui le réseau social en ligne le plus important avec plus d’1 milliard ½ d’utilisateurs. Il reste, malgré celà, le moins étudié avec 7% des articles sur Google Scholar contre 28% pour twitter. http://techcrunch.com/2014/09/03/the-ice-bucket-challenge-by-the-numbers/ http://www.bbc.com/news/magazine-29013707 Smith, Andrew N., Fischer, E., & Yongjian, C. (2012). How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter? Journal of Interactive Marketing, 26(2), 102–113. doi:10.1016/j.intmar.2012.01.002 -facebook +twitter +"marketing strategy“ > 1820 résultats +facebook -twitter +"marketing strategy“ > 7570 résultats +facebook +twitter +"marketing strategy“ > 17600
  3. “nouveau paradigme de la communication” (Mangold & Faulds), La littérature qui inspire les stratégies marketing sur les RSO est avant tout sociale. C’est à dire qu’elle stresse sur le rôle de l’individu en tant qu’influenceur (Lazarsfeld, Cialdini) ou influencable (Watts & Dodds). Elle s’inspire aussi de la théorie des graphes (Harary) et de la manipulation de réseau (Valente). Mais, le sujet de prédilection reste la viralité et les populations de diffusion (Hinz, liu-thompkins). La littérature en sciences de gestion propose principalement des meilleures pratiques basées sur un “nouveau paradigme de la communication” (Mangold & Faulds), imposé par la communication inter-consommateurs. Lazarsfeld, P., Berelson, B., & Gaudet, H. (1968). The People’s Choice: How the Voter Makes Up His Mind in a Presidential Campaign (3rd ed.). Columbia University Press. Reed, D. P. (2001). The law of the pack. Harvard Business Review, 79(2), 23–24, 154. Cialdini, R. (2001). Influence: Science and practice. Boston: Allyn & Bacon. Retrieved from http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:INfluence:+science+and+practice#0 Heath, C., & Heath, D. (2010). Switch: How to Change Things When Change Is Hard. New York, 305. Retrieved from http://www.amazon.com/dp/0385528752 Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, (6), 1360–1380. doi:10.1086/225469 Burt, R. S. (2004). Structural Holes and Good Ideas. American Journal of Sociology, 110(2), 349–399. doi:10.1086/421787 Burt, R. (2009). Structural holes: The social structure of competition (Harvard Un.). Chen, J., Geyer, W., Dugan, C., Muller, M., & Guy, I. (2009). Make new friends, but keep the old: recommending people on social networking sites. Proceedings of the 27th International Conference on Human Factors in Computing Systems - CHI ’09, 201–210. doi:10.1145/1518701.1518735 Heiderich, D. (2009). Influence sur internet. Retrieved from http://books.google.com/books?hl=en&lr=&id=vs1BZwKUpE4C&oi=fnd&pg=PP3&dq=Influence+sur+internet&ots=3nCq1cax8z&sig=2jHFwSoZmxlnmx5atj3c4Dn8VCk Valente, T. W. (2012). Network interventions. Science (New York, N.Y.), 337(6090), 49–53. doi:10.1126/science.1217330 Aral, S., Muchnik, L., & Sundararajan, A. (2011). Engineering Social Contagions: Optimal Network Seeding and Incentive Strategies. SSRN Electronic Journal. doi:10.2139/ssrn.1770982 Hinz, O., Skiera, B., Barrot, C., & Becker, J. (2011). Seeding strategies for viral marketing: an empirical comparison. Journal of Marketing, 75(November), 55–71. Retrieved from http://www.journals.marketingpower.com/doi/abs/10.1509/jm.10.0088 Liu-Thompkins, Y. (2012). Seeding viral content: : The Role of Message and Network Factors. Journal of Advertising Research, 52(4), 465. doi:10.2501/JAR-52-4-465-478 Smith, M., Rainie, L., Himelboim, I., & Shneiderman, B. (2014). Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters. The Pew Research Center, (February 20), 1–57. Retrieved from http://www.pewinternet.org/2014/02/20/mapping-twitter-topic-networks-from-polarized-crowds-to-community-clusters Booth, N., & Matic, J. A. (2011). Mapping and leveraging influencers in social media to shape corporate brand perceptions. Corporate Communications: An International Journal. doi:10.1108/13563281111156853 Bampo, M., Ewing, M. T., Mather, D. R., Stewart, D., & Wallace, M. (2008). The Effects of the Social Structure of Digital Networks on Viral Marketing Performance. Information Systems Research, 19(3), 273–290. doi:10.1287/isre.1070.0152 Watts, D., & Dodds, P. (2007). Influentials, networks, and public opinion formation. Journal of Consumer Research, 34(4), 441–458. Retrieved from http://www.jstor.org/stable/10.1086/518527 Rheingold, H. (2002). Smart mobs: The next social revolution. Perseus, Cambridge, Mass. Retrieved from http://muse.jhu.edu/journals/sof/summary/v083/83.4kotamraju.html Ahonen, T., & Moore, A. (2005). Communities dominate brand: business and marketing for the 21st century. futuretext Ltd. Fournier, S., & Avery, J. (2011). The uninvited brand. Business Horizons, 54(3), 193–207. doi:10.1016/j.bushor.2011.01.001 Woodcock, N., Green, A., & Starkey, M. (2011). Social CRM as a business strategy. Journal of Database Marketing & Customer Strategy Management, 18(1), 50–64. doi:10.1057/dbm.2011.7 Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357–365. doi:10.1016/j.bushor.2009.03.002 Vásquez, G. A. N., & Escamilla, E. M. (2014). Best Practice in the Use of Social Networks Marketing Strategy as in SMEs. Procedia - Social and Behavioral Sciences, 148(443), 533–542. doi:10.1016/j.sbspro.2014.07.076 Théorie des graphes (Euler, Harary, 1969) La valeur d’un réseau social (Reed, 2001) L’influence (Cialdini, 2001; Heath & Heath; 2010;) Sur les réseaux sociaux Lazarsfeld, 1968; Les liens faibles et les vides structurels (Granovetter, 1973; Burt, 2004, 2009; Ou la « microfluence » Sur les réseaux sociaux en ligne Heiderich, 2009; Chen & al., 2009) La manipulation de réseau (Valente & al.; 2012; Aral & al., 2011) La diffusion de l’information (Hinz & al., 2011; Smith & al., 2014) La viralité (Hinz & al, 2001; Booth & Matic, 2001; Bampo & al., 2008) Les populations de diffusion initiales (Hinz & al., 2011; Watts & Dodds, 2007; Liu-Thompkins, 2012) Stratégies marketing (Mangold & Faulds, 2009; Vàsquez & Escamilla, 2014)
  4. Message (Rowley, 2008) Messager (Berger & Milkman, 2009; Valos & al., 2007; Valente & Myers, 2010) Structure du réseau (Bampo & al., 2008) Population de diffusion initiale (Liu-Thompkins, 2012; Bampo & al., 2008) Attitude et caractéristiques des récepteurs (Arndt, 1967; Liu-Thompkins, 2012) Journal of Interactive Marketing, Du fait du manque de contrôle (Rheingold, Ahonen, Fournier & Avery) et des obstacles à l’accès à l’information, la recherche reste en très grande majorité fondée sur l’observation passive de phénomènes qui ont lieu sur les RSO. La pratique elle, se base principalement sur le seul élément sous contrôle, le contenu (content marketing: Rowley). Ceci a poussé les auteurs Hoffman et Novak en 2012 à lancer un appel pour combler “le besoin d’une base marketing solide pour les décideurs stratégiques”. Et, c’est justement à une partie de ce problème que nous nous addressons dans cette thèse: “Quelles stratégies du marketing viral sur FB?” “marketers are searching for a firm foundation on which to base their strategic decisions regarding how to employ social media to engage and influence their customers” Hoffman, D. L., & Novak, T. P. (2012). Toward a Deeper Understanding of Social Media. Journal of Interactive Marketing, 26(2), 69–70. doi:10.1016/j.intmar.2012.03.001 Rowley, J. (2008). Understanding digital content marketing. Journal of Marketing Management, 24(5-6), 517–540. doi:10.1362/026725708X325977 Koiso-Kanttila, N. (2004). Digital Content Marketing: A Literature Synthesis. Journal of Marketing Management, 20(1-2), 45–65. doi:10.1362/026725704773041122 Pratique axée sur le contenu et le hazard à cause du manque de contrôle ( Rheingold, H. (2002). Smart mobs: The next social revolution. Perseus, Cambridge, Mass. Retrieved from http://muse.jhu.edu/journals/sof/summary/v083/83.4kotamraju.html Ahonen, T., & Moore, A. (2005). Communities dominate brand: business and marketing for the 21st century. futuretext Ltd. Fournier, S., & Avery, J. (2011). The uninvited brand. Business Horizons, 54(3), 193–207. doi:10.1016/j.bushor.2011.01.001 Manque de contrôle et manque de stratégie virale
  5. Pour concevoir une stratégie marketing efficace, il est nécessaire de pouvoir reprendre le contrôle. C’est pour cela que nous utilisons l’approche critique d’Habermas qui accepte la modification de l’environnement pour réaliser une série d’expériences sur le terrain. Recherche et éthique sur les réseaux sociaux en ligne Cooper (2014) définit quatre règles: Ne pas faire du mal aux sujets au-delà du seuil d’une expérience économique normale sans tromperie est la priorité (Saunders, 2009) Difficulté de réaliser l’expérience sans tromperie (réaction différente lorsque les sujets sont avertis; Hudson, 2004) Les sujets sont informés de l’expérience lorsqu’elle prend fin (Ne pas avouer la vérité n’est pas synonyme de tromperie; Hey, 1998) La valeur de l’étude mérite les risques potentiels associés à l’utilisation de la tromperie. - Une approche nécessairement multidisciplinaire: gestion, sociologie, psychologie, philosophie… - Données publiques perçues comme privées (Bassett & O’Riordan, 2002; J. Hudson & Bruckman, 2005; J. M. Hudson & Bruckman, 2004) - Les foules intelligentes (Rheingold, 2010) - Nos propres limites seront bientôt atteintes (Kurzweil)
  6. Pour comprendre la diffusion des messages et le rôle de chaque personne dans le réseau, il est indispensable d’avoir accès au graphe social de cette personne. Or, les utilisateurs considèrent que leur connections font partie du domaine privé et peuvent dissimuler leur liste d’amis. Nous montrons qu’il est possible , en utilisant la fonction « amis communs » de Facebook, et, avec uniquement 8 profils vrais et faux, de reconstituer entre 4 et 28% du graphe social de dix personnes.
  7. “somebodies” => Booth & Matic. Il existe aujourd’hui sur Facebook des dizaines, voire des centaines de millions de faux profils utilisés, en partie, dans des stratégies marketing. Nous essayons de répondre à deux questions essentielles: peut-on créer des faux profils qui s’auto-alimentent en amis réels? Et les faux profils sont-ils des outils de diffusion efficaces? Pour cela nous créons un faux profil qui n’envoie des demandes d’amitiés qu’à des “somebodies” selon le terme de Booth & Matic. Le résultat est, qu’effectivement, ce profil va attirer plus de 260 amis dans son réseau. Nous essayons alors de diffuser sur ce profil des messages qui ont eu du succès ailleurs et découvrons qu’elle ne créent pratiquement aucun engagement. Booth, N., & Matic, J. A. (2011). Mapping and leveraging influencers in social media to shape corporate brand perceptions. Corporate Communications: An International Journal. doi:10.1108/13563281111156853 Julian, S. (2013). Facebook et Twitter: le business des faux amis fait florès. L’expansion - L'Express. Julian, S. (2013). People ou politiques sur Twitter, à chacun ses followers bidon. L’expansion - L'Express. Valente, T. W., & Myers, R. (2010). The Messenger is the Medium: Communication and Diffusion Principles in the Process of Behavior Change. Estudios Sobre Las Culturas …, XVI, 249–276. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=14052210&AN=52223309&h=NO9FuLriBcKP9EhAo4WKGi1l4ALr2wj3bq%2FdFw0XzcnHH4HB905oqOCu6gcA18VMmd0qS0GfZmMkm2LcDTI3zQ%3D%3D&crl=c
  8. Influencables => watts & dodds Dans cette 3e expérience, nous nous concentrons sur la diffusion du BAO négatif. Que se passe-t-il si nous transportons le terrain de discussion des consommateurs de la page Facebook d’une entreprise à deux profils personnels? Nous attirons les consommateurs engagés (influencables – Watts & Dodds) vers deux faux profiles et redifusons des messages négatifs de la page sur les profils créés. Nous observons alors une augmentation de la viralité de 400%. Fournier, S., & Avery, J. (2011). The uninvited brand. Business Horizons, 54(3), 193–207. doi:10.1016/j.bushor.2011.01.001 Rheingold, H. (2002). Smart mobs: The next social revolution. Perseus, Cambridge, Mass. Retrieved from http://muse.jhu.edu/journals/sof/summary/v083/83.4kotamraju.html Ahonen, T., & Moore, A. (2005). Communities dominate brand: business and marketing for the 21st century. futuretext Ltd.
  9. Burt souligne l’importance des ponts enjambant les trous structurels dans les réseaux comme facteurs d’influence et d’innovation. Nous prenons le profil de trois politiciens libanais de camps politiquement opposés pour reconstituer le graphe politico-social de 15 mille personnes reliées par plus de 300 mille connexions. En utilisant une méthode de codage, nous arrivons à éxtraire 3,800 ponts entre les différents camps politiques.
  10. Les expériences précédentes nous ont poussé à nous poser deux questions d’ordre théorique et managérial: - Tous les efforts se concentrent sur le marketing viral. Qu’en est-il d’autres types de stratégie marketing (masse, relationnel, niche)? Aussi, Facebook est composé de trois supports (pages, profils, groupes). Lesquels sont les mieux adaptés pour chaque type de stratégie? Il ressort de cette analyse que le support le mieux adapté pour le marketing viral est les profils Facebook. Alors que les pages sont plus adaptés pour le marketing de masse et le marketing de niche; et les groupes pour le marketing relationnel. Hinz, O., Skiera, B., Barrot, C., & Becker, J. (2011). Seeding strategies for viral marketing: an empirical comparison. Journal of Marketing, 75(November), 55–71. Retrieved from http://www.journals.marketingpower.com/doi/abs/10.1509/jm.10.0088 Liu-Thompkins, Y. (2012). Seeding viral content: : The Role of Message and Network Factors. Journal of Advertising Research, 52(4), 465. doi:10.2501/JAR-52-4-465-478 Valente, T. W., & Myers, R. (2010). The Messenger is the Medium: Communication and Diffusion Principles in the Process of Behavior Change. Estudios Sobre Las Culturas …, XVI, 249–276. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=14052210&AN=52223309&h=NO9FuLriBcKP9EhAo4WKGi1l4ALr2wj3bq%2FdFw0XzcnHH4HB905oqOCu6gcA18VMmd0qS0GfZmMkm2LcDTI3zQ%3D%3D&crl=c Grönroos, C. (1994). Quo Vadis, marketing? Toward a relationship marketing paradigm. Journal of Marketing Management. doi:10.1080/0267257X.1994.9964283
  11. Twitter > dirigé Facebook > non dirigé Alors qu’on connait beaucoup d’histoires de succès au niveau du personal branding sur Twitter, YouTube et Instagram, des réseaux dirigés, nous n’avons trouvé aucune expérience du même type sur Facebook. Nous développons, réalisons et analysons une stratégie de personal branding sur deux ans sur Facebook. Les résultats montrent un accroissement significatif de l’engagement
  12. Reprise de controle au niveau des stratégies marketing