Seeded marketing campaigns (SMCs) have become part of the marketing mix for many fast-moving consumer goods (FMCG) companies. In addition to making large investments in advertising and sales promotions, these firms now encourage seed agents or microinfluencers to discuss brands with friends and acquaintances to create further value. It is thus critical to understand how an FMCG seeding program interacts with traditional marketing tools when estimating the effectiveness of such efforts. However, the issue is still underexplored. The authors present the first empirical analysis of this question using a rich data set collected on four brands from various European FMCG markets. They combine advertising and sales promotion data from FMCG brand managers with sales and retail variables from market research companies as well as firm-created word-of-mouth variables from SMC agencies. The authors analyze the data using several approaches, confronting challenges of endogeneity and multicollinearity. They consistently find that firm-created word of mouth through SMC programs interacts negatively with all tested forms of advertising but positively with promotional activities. This phenomenon has significant implications for understanding the utility of SMCs and how they should be managed. The analysis implies that SMCs may increase total sales by approximately 3%–18% throughout the campaigns.
AmemiyaTakeshi (1985), Advanced Econometrics. Cambridge, MA: Harvard University Press.
2.
AngristJoshuaPischkeJoern-Steffen (2009), Mostly Harmless Econometrics: An Empiricist’s Companion, Princeton, NJ: Princeton University Press.
3.
AralSinanMuchnikLevSundararajanArun (2013), “Engineering Social Contagions: Optimal Network Seeding in the Presence of Homophily,” Network Science, 1 (2), 125–53.
4.
ArmeliniGuillermoVillanuevaJulian (2010), “Marketing Expenditures and Word-of-Mouth Communication: Complements or Substitutes?” Foundations and Trends in Marketing, 5 (1), 1–53.
5.
BabićRosarioFrancesca SotgiuAnaDe ValckKristineBijmoltTammo H.A. (2016), “The Effect of Electronic Word of Mouth on Sales: A Meta-Analytic Review of Platform, Product, and Metric Factors,” Journal of Marketing Research, 53 (3), 297–318.
6.
BailChristopher Andrew (2016), “Combining Natural Language Processing and Network Analysis to Examine How Advocacy Organizations Stimulate Conversation on Social Media,” Proceedings of the National Academy of Sciences, 113 (42), 11823–28.
7.
BakerAndrew M.DonthuNaveenKumarV. (2016), “Investigating How Word-of-Mouth Conversations About Brands Influence Purchase and Retransmission Intentions,” Journal of Marketing Research, 53 (2), 225–39.
8.
BatraRajeevKellerKevin Lane (2016), “Integrating Marketing Communications: New Findings, New Lessons, and New Ideas,” Journal of Marketing, 80 (6), 122–45.
9.
BergerJonah (2014), “Word of Mouth and Interpersonal Communication: A Review and Directions for Future Research,” Journal of Consumer Psychology, 24 (4), 586–607.
10.
BergerJonahIyengarRaghuram (2013), “Communication Channels and Word of Mouth: How the Medium Shapes the Message,” Journal of Consumer Research, 40 (3), 567–79.
11.
BergerJonahSchwartzEric M. (2011), “What Drives Immediate and Ongoing Word-of-Mouth?” Journal of Marketing Research, 48 (5), 869–80.
12.
BoundJohnJaegerDavid A.BakerRegina M. (1995), “Problems with Instrumental Variables Estimation When the Correlation Between the Instruments and the Endogeneous Explanatory Variable is Weak,” Journal of the American Statistical Association, 90 (430), 443–50.
13.
BruceNorris I.FoutzNatasha ZhangKolsariciCeren (2012), “Dynamic Effectiveness of Advertising and Word of Mouth in Sequential Distribution of New Products,” Journal of Marketing Research, 49 (4), 469–86.
14.
BruceNorris I.PetersKayNaikPrasad A. (2012), “Discovering How Advertising Grows Sales and Builds Brands,” Journal of Marketing Research, 49 (6), 793–806.
15.
BurmesterAlexa B.BeckerJan U.van HeerdeHarald J.ClementMichel (2015), “The Impact of Pre- and Post-Launch Publicity and Advertising on New Product Sales,” International Journal of Research in Marketing, 32 (4), 408–17.
16.
CampbellMargaret C.KellerKevin Lane (2003), “Brand Familiarity and Advertising Repetition Effects,” Journal of Consumer Research, 30 (2), 292–304.
17.
CarlWalter J. (2006), “What’s All the Buzz About? Everyday Communication and the Relational Basis of Word-of-Mouth and Buzz Marketing Practices,” Management Communication Quarterly, 19 (4), 601–34.
18.
CarlWalter J. (2008), “The Role of Disclosure in Organized Word-of-Mouth Marketing Programs,” Journal of Marketing Communications, 14 (3), 225–41.
ChenXivan der LansRalfPhanTuan Q. (2017), “Uncovering the Importance of Relationship Characteristics in Social Networks: Implications for Seeding Strategies,” Journal of Marketing Research, 54 (2), 187–201.
21.
ChenYuboXieJinhong (2008), “Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix,” Management Science, 54 (3), 477–91.
22.
CohenJ. (1988), “The Effect Size Index: D,” Statistical Power Analysis for the Behavioral Sciences, 2, 284–88.
23.
CuleErikade IorioMaria (2012), “A Semi-Automatic Method to Guide the Choice of Ridge Parameter in Ridge Regression,” arXiv preprint arXiv:1205.0686.
24.
CummingGeoff (2014), “The New Statistics Why and How,” Psychological Science, 25 (1), 7–29.
25.
DicksonJohn P. (1972), “Coordinating Images Between Media,” Journal of Advertising Research, 12 (1), 25–28.
26.
DostFlorianSievertJensKassimDavid (2016), “Revisiting Firm-Created Word of Mouth: High-Value Versus Low-Value Seed Selection,” International Journal of Research in Marketing, 33 (1), 236–39.
27.
DostFlorianWilkenRobertEisenbeissMaikSkieraBernd (2014), “On the Edge of Buying: A Targeting Approach for Indecisive Buyers Based on Willingness-to-Pay Ranges,” Journal of Retailing, 90 (3), 393–407.
28.
EelenJiskaÖzturanPerenVerleghPeeter W.J. (2017), “The Differential Impact of Brand Loyalty on Traditional and Online Word of Mouth: The Moderating Roles of Self-Brand Connection and the Desire to Help the Brand,” International Journal of Research in Marketing, 34 (4), 872–91.
FloydKristopherFrelingRyanAlhoqailSaadChoHyun YoungFrelingTraci (2014), “How Online Product Reviews Affect Retail Sales: A Meta-analysis,” Journal of Retailing, 90 (2), 217–32.
31.
FoxJohnMonetteGeorges (1992), “Generalized Collinearity Diagnostics,” Journal of the American Statistical Association, 87 (417), 178–83.
32.
GatignonHubertHanssensDominique M. (1987), “Modeling Marketing Interactions with Application to Salesforce Effectiveness,” Journal of Marketing Research, 24 (3), 247–57.
33.
GermannFrankEbbesPeterGrewalRajdeep (2015), “The Chief Marketing Officer Matters,” Journal of Marketing, 79 (3), 1–22.
34.
GodesDavidMayzlinDina (2009), “Firm-Created Word-of-Mouth Communication: Evidence from a Field Test,” Marketing science, 28 (4), 721–39.
35.
GodesDavidMayzlinDinaChenYuboDasSanjivDellarocasChrysanthosPfeifferBruce. (2005), “The Firm’s Management of Social Interactions,” Marketing letters, 16 (3/4), 415–28.
36.
GopalakrishnaSrinathChatterjeeRabikar (1992), “A Communications Response Model for a Mature Industrial Product: Application and Implications,” Journal of Marketing Research, 29 (2), 189.
37.
GroegerLarsButtleFrancis (2014), “Word-of-Mouth Marketing: Towards an Improved Understanding of Multi-Generational Campaign Reach,” European Journal of Marketing, 48 (7/8), 1186–208.
38.
GroegerLarsButtleFrancis (2016), “Deciphering Word-of-Mouth Marketing Campaign Reach: Everyday Conversation Versus Institutionalized Word of Mouth,” Journal of Advertising Research, 56 (4), 368–84.
39.
HaenleinMichael (2017), “How to Date Your Clients in the 21st Century: Challenges in Managing Customer Relationships in Today’s World,” Business Horizons, 60 (5), 577–86.
40.
HaenleinMichaelLibaiBarak (2013), “Targeting Revenue Leaders for a New Product,” Journal of Marketing, 77 (3), 65–80.
41.
HaenleinMichaelLibaiBarak (2017), “Seeding, Referral and Recommendation: Creating Profitable Word-of-Mouth Programs,” California Management Review, 59 (2), 68–91.
42.
HanssensDominique M.VillanuevaJulianYooShijin (2015), “Word-of-Mouth and Marketing Effects on Customer Equity,” in Handbook of Research on Customer Equity in Marketing, KumarV.ShahDenish, eds. Cheltenham, UK: Elgar.
43.
HausmanJerry A. (1978), “Specification Tests in Econometrics,” Econometrica, 46 (6), 1251–71.
44.
HausmanJerry A.TaylorWilliam E. (1981), “Panel Data and Unobservable Individual Effects,” Econometrica, 49 (6), 1377–98.
45.
HewettKellyRandWilliamRustRoland T.HeerdeHarald J. van (2016), “Brand Buzz in the Echoverse,” Journal of Marketing, 80 (3), 1–24.
46.
HinzOliverSkieraBerndBarrotChristianBeckerJan U. (2011), “Seeding Strategies for Viral Marketing: An Empirical Comparison,” Journal of Marketing, 75 (6), 55–71.
47.
HoganJohn E.LemonKatherine N.LibaiBarak (2004), “Quantifying the Ripple: Word-of-Mouth and Advertising Effectiveness,” Journal of Advertising Research, 44 (3), 271–80.
48.
KellerEdFayBrad (2012), The Face-to-Face Book: Why Real Relationships Rule in a Digital Marketplace. New York: The Free Press.
49.
KempeDavidKleinbergJonTardosEva (2003), “Maximizing the Spread of Influence Through a Social Network,” in Proceedings for SIGKDD ‘03 Washington, DC. New York: Association for Computing Machinery.
50.
KotlerPhilipKellerKevin Lane (2012), Marketing Management, 14th ed. Boston: Pearson.
51.
KozinetsRobert V.de ValckKristineWojnickiAndrea C.WilnerSarah J.S. (2010), “Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities,” Journal of Marketing, 74 (2), 71–89.
52.
KumarV.AksoyLerzanDonkersBasVenkatesanRajkumarWieselThorstenTillmannsSebastian (2010), “Undervalued or Overvalued Customers: Capturing Total Customer Engagement Value,” Journal of Service Research, 13 (3), 297–310.
53.
KumarV.BhaskaranVikramMirchandaniRohanShahMilap (2013), “Creating a Measurable Social Media Marketing Strategy: Increasing the Value and ROI of Intangibles and Tangibles for Hokey Pokey,” Marketing Science, 32 (2), 194–212.
54.
KumarV.Brianna ChoiJeeWonGreeneMallik (2017), “Synergistic Effects of Social Media and Traditional Marketing on Brand Sales: Capturing the Time-Varying Effects,” Journal of the Academy of Marketing Science, 45 (2), 268–88.
55.
LambertonCaitStephenAndrew T. (2016), “A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry,” Journal of Marketing, 80 (6), 146–72.
56.
LibaiBarakMullerEitanPeresRenana (2013), “Decomposing the Value of Word-of-Mouth Seeding Programs: Acceleration Versus Expansion,” Journal of Marketing Research, 50 (2), 161–76.
57.
LovettMitchell J.PeresRenanaShacharRon (2013), “On Brands and Word of Mouth,” Journal of Marketing Research, 50 (4), 427–44.
MelaCarl F.GuptaSunilLehmannDonald R. (1997), “The Long-Term Impact of Promotion and Advertising on Consumer Brand Choice,” Journal of Marketing Research, 34 (2), 248–61.
60.
MoonSangkilBergeyPaul K.IacobucciDawn (2010), “Dynamic Effects Among Movie Ratings, Movie Revenues, and Viewer Satisfaction,” Journal of Marketing, 74 (1), 108–21.
61.
MoroneFlavianoMakseHernán A. (2015), “Influence Maximization in Complex Networks Through Optimal Percolation,” Nature, 524 (7563), 65–68.
62.
NaikPrasad A.PetersKay (2009), “A Hierarchical Marketing Communications Model of Online and Offline Media Synergies,” Journal of Interactive Marketing, 23 (4), 288–99.
63.
NaikPrasad A.RamanKalyan (2003), “Understanding the Impact of Synergy in Multimedia Communications,” Journal of Marketing Research, 40 (4), 375–88.
64.
NaikPrasad A.RamanKalyanWinerRussell S. (2005), “Planning Marketing-Mix Strategies in the Presence of Interaction Effects,” Marketing Science, 24 (1), 25–34.
NejadMohammad G.AminiMehdiBabakusEmin (2015), “Success Factors in Product Seeding: The Role of Homophily,” Journal of Retailing, 91 (1), 68–88.
67.
PapiesDominikEbbesPetervan HeerdeHarald J. (2017), “Addressing endogeneity in marketing models,” in Advanced Methods for Modeling Markets. Cham, Switzerland: Springer.
68.
ParkC. WhanParker LessigV. (1977), “Judgmental Rules and Stages of the Familiarity Curve: Promotional Implications,” Journal of Advertising, 6 (1), 10–16.
69.
PauwelsKoenDemirciCerenYildirimGokhanSrinivasanShuba (2016), “The Impact of Brand Familiarity on Online and Offline Media Synergy,” International Journal of Research in Marketing, 33 (4), 739–53.
70.
PetrinAmilTrainKenneth (2010), “A Control Function Approach to Endogeneity in Consumer Choice Models,” Journal of Marketing Research, 47 (1), 3–13.
71.
RosenEmanuel (2009), The Anatomy of Buzz Revisited: Real-Life Lessons in Word-of-Mouth Marketing. New York: Crown Business.
72.
RossiPeter E. (2014), “Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications,” Marketing Science, 33 (5), 655–72.
73.
SchultzDon E.BlockMartin P.RamanKaylan (2012), “Understanding Consumer-Created Media Synergy,” Journal of Marketing Communications, 18 (3), 173–87.
74.
SethuramanRajTellisGerard J.BrieschRichard A. (2011), “How Well Does Advertising Work? Generalizations from Meta-Analysis of Brand Advertising Elasticities,” Journal of Marketing Research, 48 (3), 457–71.
75.
SheehanKim BartelDohertyCaitlin (2001), “Re-Weaving the Web: Integrating Print and Online Communications,” Journal of Interactive Marketing, 15 (2), 47–59.
SmithTimothy M.GopalakrishnaSrinathChatterjeeRabikar (2006), “A Three-Stage Model of Integrated Marketing Communications at the Marketing–Sales Interface,” Journal of Marketing Research, 43 (4), 564–79.
78.
SriramS.KalwaniManohar U. (2007), “Optimal Advertising and Promotion Budgets in Dynamic Markets with Brand Equity as a Mediating Variable,” Management Science, 53 (1), 46–60.
79.
StammerjohanClaireWoodCharles M.ChangYuhmiinThorsonEsther (2005), “An Empirical Investigation of the Interaction Between Publicity, Advertising, and Previous Brand Attitudes and Knowledge,” Journal of Advertising, 34 (4), 55–67.
80.
StiglerGeorge J. (1961), “The Economics of Information,” Journal of Political Economy, 69 (3), 213–25.
81.
TirunillaiSeshadriTellisGerard J. (2017), “Does Offline TV Advertising Affect Online Chatter? Quasi-Experimental Analysis Using Synthetic Control,” Marketing Science, 36 (6), 862–78.
82.
ToubiaOlivierStephenAndrew T.FreudAliza (2011), “Viral Marketing: A Large-Scale Field Experiment,” Economics, Management, and Financial Markets, 6 (3), 43–65.
83.
TrusovMichaelBucklinRandolph E.PauwelsKoen (2009), “Effects of Word-of-Mouth Versus Traditional Marketing: Findings from an Internet Social Networking Site,” Journal of Marketing, 73 (5), 90–102.
84.
VakratsasDemetriosAmblerTim (1999), “How Advertising Works: What Do We Really Know?” Journal of Marketing, 63 (1), 26–43.
85.
Villas-BoasJ. MiguelWinerRussell S. (1999), “Endogeneity in Brand Choice Models,” Management Science, 45 (10), 1324–38.
WooldridgeJeffrey M. (2010), Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.
89.
WuDe-Min (1973), “Alternative Tests of Independence Between Stochastic Regressors and Disturbances,” Econometrica, 41 (4), 733–50.
90.
YouYaVadakkepattGautham G.JoshiAmit M. (2015), “A Meta-Analysis of Electronic Word-of-Mouth Elasticity,” Journal of Marketing, 79 (2), 19–39.
91.
ZubcsekPeter PalSarvaryMiklos (2011), “Advertising to a Social Network,” Quantitative Marketing and Economics, 9 (1), 71–107.
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