Content platforms (e.g., newspapers, magazines) post several stories daily on their dedicated social media pages and promote some of them using targeted content advertising (TCA). Posting stories enables content platforms to grow their social media audiences and generate digital advertising revenue from the impressions channeled through social media posts’ link clicks. However, optimal scheduling of social media posts and TCA is formidable, requiring content platforms to determine what to post; when to post; and whether, when, and how much to spend on TCA to maximize profits. Social media managers lament this complexity, and academic literature offers little guidance. Consequently, the authors draw from literature on circadian rhythms in information processing capabilities to build a novel theoretical framework on social media content scheduling and explain how scheduling attributes (i.e., time of day, content type, and TCA) affect the link clicks metric. They test their hypotheses using a model estimated on 366 days of Facebook post data from a top 50 U.S. newspaper. Subsequently, they build an algorithm that allows social media managers to optimally plan social media content schedules and maximize gross profits. Applying the algorithm to a holdout sample, the authors demonstrate a potential increase in gross profits by at least 8%.
AbercrombieHeather C.SpeckNicole S.MonticelliRoxanne M. (2006), “Endogenous Cortisol Elevations Are Related to Memory Facilitation Only in Individuals Who Are Emotionally Aroused,” Psychoneuroendocrinology, 31 (2), 187–96.
CreswellJ. DavidLamSumanStantonAnnette L.TaylorShelley E.BowerJulienne E.ShermanDavid K. (2007), “Does Self-affirmation, Cognitive Processing, or Discovery of Meaning Explain Cancer-related Health Benefits of Expressive Writing,” Personality and Social Psychology Bulletin, 33 (2), 238–50.
14.
DesimoneRobertDuncanJohn (1995), “Neural Mechanisms of Selective Visual Attention,” Annual Review of Neuroscience, 18 (1), 193–222.
15.
Díaz-MoralesJuan Francisco (2007), “Morning and Evening-types: Exploring Their Personality Styles,” Personality and Individual Differences, 43 (4), 769–78.
EbbesPeterWedelMichelBöckenholtUlfSteernemanTon (2005), “Solving and Testing for Regressor-Error (In)Dependence When No Instrumental Variables Are Available: With New Evidence for the Effect of Education on Income,” Quantitative Marketing and Economics, 3 (4), 365–92.
18.
GaertnerSamuel L.DovidioJohn F. (1977), “The Subtlety of White Racism, Arousal, and Helping Behavior,” Journal of Personality and Social Psychology, 35 (10), 691–707.
19.
GhoseAnindyaIpeirotisPanagiotis G. (2011), “Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics,” IEEE Transactions on Knowledge and Data Engineering, 23 (10), 1498–1512.
20.
GiampietroMarinaCavalleraGuido M. (2007), “Morning and Evening Types and Creative Thinking,” Personality and Individual Differences, 42 (3), 453–63.
GongShiyangZhangJuanjuanZhaoPingJiangXuping (2017), “Tweeting as a Marketing Tool: A Field Experiment in the TV Industry,” Journal of Marketing Research, 54 (6), 833–50.
24.
GulloKelleyBergerJonahEtkinJordanBollingerBryan (2017), “Variety-Seeking and Time of Day,” working paper, 1–42.
25.
HasherLynnLustigCindyZacksR. T. (2007), “Inhibitory Mechanisms and the Control of Attention,” in Variation in Working Memory, ConwayAndrew R. A.JarroldChristopherKaneMichael J.MiyakeAkiraTowseJohn N., eds. New York: Oxford University Press, 227–49.
26.
HillyardSteven A.Teder-SälejärviWolfgang A.MünteThomas F. (1998), “Temporal Dynamics of Early Perceptual Processing,” Current Opinion in Neurobiology, 8 (2), 202–10.
27.
HillyardSteven A.VogelEdward K.LuckSteven J. (1998), “Sensory Gain Control (Amplification) as A Mechanism of Selective Attention: Electrophysiological and Neuroimaging Evidence,” Philosophical Transactions of the Royal Society B: Biological Sciences, 353 (1373), 1257–70.
28.
HobanPaul R.BucklinRandolph E. (2015), “Effects of Internet Display Advertising in the Purchase Funnel: Model-Based Insights from a Randomized Field Experiment,” Journal of Marketing Research, 52 (3), 375–93.
29.
HomansGeorge C. (1958), “Social Behavior as Exchange,” American Journal of Sociology, 63 (6), 597–606.
30.
HornikJacobMinieroGiulia (2009), “Synchrony Effects on Customers’ Responses and Behaviors,” International Journal of Research in Marketing, 26 (1), 34–40.
31.
JacobsonRobert (1990), “Unobservable Effects and Business Performance,” Marketing Science, 9 (1), 74–85.
32.
KanuriVamsi K.MantralaMurali KThorsonEsther (2017), “Optimizing a Menu of Multiformat Subscription Plans for Ad-Supported Media Platforms,” Journal of Marketing, 81 (2), 45–63.
33.
KensingerElizabeth A.CorkinSuzanne (2003), “Effect of Negative Emotional Content on Working Memory and Long-Term Memory,” Emotion, 3 (4), 378–93.
34.
KirschnerPaul A. (2002), “Cognitive Load Theory: Implications of Cognitive Load Theory on the Design of Learning,” Learning and Instruction, 12 (1), 1–10.
35.
KuhlmannSabrinaPielMarcelWolfOliver T. (2005), “Impaired Memory Retrieval After Psychosocial Stress in Healthy Young Men,” Journal of Neuroscience, 25 (11), 2977–82.
36.
KumarAshishBezawadaRamRishikaRishikaJanakiramanRamkumarKannanP. K. (2016), “From Social to Sale: The Effects of Firm-Generated Content in Social Media on Customer Behavior,” Journal of Marketing, 80 (1), 7–25.
37.
KumarV. (2016), “My Reflections on Publishing in Journal of Marketing,” Journal of Marketing, 80 (1), 1–6.
38.
LambrechtAnjaMisraKanishka (2017), “Fee or Free: When Should Firms Charge for Online Content?” Management Science, 63 (4), 1150–65.
39.
LambrechtAnjaTuckerCatherine (2013), “When Does Retargeting Work? Information Specificity in Online Advertising,” Journal of Marketing Research, 50 (5), 561–76.
40.
LeeDokyunHosanagarKartikNairHarikesh S. (2018), “Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook,” Management Science, (published online January 18), DOI: 10.1287/mnsc.2017.2902.
41.
LeeJu-YeonSridharShrihariHendersonConor M.PalmatierRobert W. (2015), “Effect of Customer-Centric Structure on Long-Term Financial Performance,” Marketing Science, 34 (2), 250–68.
42.
LeoneMaria JulianaSlezakDiego FernandezGolombekDiegoSigmanMariano (2017), “Time to Decide: Diurnal Variations on the Speed and Quality of Human Decisions,” Cognition, 158, 44–55.
43.
LevyDavid A. (1985), “Optimism and Pessimism: Relationships to Circadian Rhythms,” Psychological Reports, 57 (3 Supplement), 1123–26.
44.
LovettMitchell J.StaelinRichard (2016), “The Role of Paid, Earned, and Owned Media in Building Entertainment Brands: Reminding, Informing, and Enhancing Enjoyment,” Marketing Science, 35 (1), 142–57.
45.
LuethiMathiasMeierBeatSandiCarmen (2009), “Stress Effects on Working Memory, Explicit Memory, and Implicit Memory for Neutral and Emotional Stimuli in Healthy Men,” Frontiers in Behavioral Neuroscience, 2 (5), 1–9.
46.
LupienSonia J.FioccoAlexandraWanNathalieMaheuFrancoiseLordCatherineSchramekTania, et al. (2005), “Stress Hormones and Human Memory Function Across the Lifespan,” Psychoneuroendocrinology, 30 (3), 225–42.
MantralaMurali K.SinhaPrabhakantZoltnersAndris A. (1992), “Impact of Resource Allocation Rules on Marketing Investment-level Decision and Profitability,” Journal of Marketing Research, 29 (2), 162–75.
49.
MarchioniniGary (1997), Information Seeking in Electronic Environments. Cambridge, UK: Cambridge University Press.
50.
MochonDanielJohnsonKarenSchwartzJanetArielyDan (2017), “What Are Likes Worth? A Facebook Page Field Experiment,” Journal of Marketing Research, 54 (2), 306–17.
51.
MyersNicholas E.StokesMark G.NobreAnna C. (2017), “Prioritizing Information During Working Memory: Beyond Sustained Internal Attention,” Trends in Cognitive Sciences, 21 (6), 449–61.
52.
MyersNicholas E.StokesMark G.WaltherLenaNobreAnna C. (2014), “Oscillatory Brain State Predicts Variability in Working Memory,” Journal of Neuroscience, 34 (23), 7735–43.
53.
NaylorRebecca WalkerLambertonCait PoynorWestPatricia M. (2012), “Beyond The ‘Like’ Button: The Impact of Mere Virtual Presence on Brand Evaluations and Purchase Intentions in Social Media Settings,” Journal of Marketing, 76 (6), 105–20.
54.
PennebakerJames W.BoydRyan L.JordanKaylaBlackburnKate (2015), LIWC2015: Linguistic Inquiry and Word Count, (accessed July 10, 2018), http://liwc.wpengine.com/.
55.
PennebakerJames W.MayneTracy J.FrancisMartha E. (1997), “Linguistic Predictors of Adaptive Bereavement,” Journal of Personality and Social Psychology, 72 (4), 863–71.
56.
PetrinAmilTrainKenneth (2010), “A Control Function Approach to Endogeneity in Consumer Choice Models,” Journal of Marketing Research, 47 (1), 3–13.
57.
RutzOliver J.BucklinRandolph E.SonnierGarrett P. (2012), “A Latent Instrumental Variables Approach to Modeling Keyword Conversion in Paid Search Advertising,” Journal of Marketing Research, 49 (3), 306–19.
58.
SamatSonamAcquistiAlessandroBabcockLinda (2017), “Raise the Curtains: The Effect of Awareness About Targeting on Consumer Attitudes and Purchase Intentions,” in Proceedings of the Thirteenth Symposium on Usable Privacy and Security (SOUPS), USENIX Association, 299–318.
59.
ShackmanAlexander J.SarinopoulosIssidorosMaxwellJeffrey S.PizzagalliDiego A.LavricAureliuDavidsonRichard J. (2006), “Anxiety Selectively Disrupts Visuospatial Working Memory,” Emotion, 6 (1), 40–61.
60.
ShiffrinRichard M.AtkinsonRichard C. (1969), “Storage and Retrieval Processes in Long-Term Memory,” Psychological Review, 76 (2), 179–93.
61.
SridharShrihariSrinivasanRaji (2012), “Social Influence Effects in Online Product Ratings,” Journal of Marketing, 76 (5), 70–88.
StieglitzStefanDang-XuanLinh (2013), “Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior,” Journal of Management Information Systems, 29 (4), 217–48.
64.
StopfordCheryl L.ThompsonJennifer C.NearyDavidRichardsonAnna M. T.SnowdenJulie S. (2012), “Working Memory, Attention, and Executive Function in Alzheimer’s Disease and Frontotemporal Dementia,” Cortex, 48 (4), 429–46.
65.
TausczikYla R.PennebakerJames W. (2010), “The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods,” Journal of Language and Social Psychology, 29 (1), 24–54.
66.
TopsMattieKooleSander L.IJzermanHansBuisman-PijlmancFemke T. A. (2014), “Why Social Attachment and Oxytocin Protect Against Addiction and Stress: Insights from the Dynamics Between Ventral and Dorsal Corticostriatal Systems,” Pharmacology Biochemistry and Behavior, 119, 39–48.
67.
ToubiaOlivierStephenAndrew T. (2013), “Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?” Marketing Science, 32 (3), 368–92.
68.
TsaousisIoannis (2010), “Circadian Preferences and Personality Traits: A Meta-Analysis,” European Journal of Personality, 24 (4), 356–73.
69.
VenkatesanRajkumarKrishnanTrichy V.KumarV. (2004), “Evolutionary Estimation of Macro-Level Diffusion Models Using Genetic Algorithms: An Alternative to Nonlinear Least Squares,” Marketing Science, 23 (3), 451–64.
70.
WangLiliChartrandTanya L. (2015), “Morningness–Eveningness and Risk Taking,” Journal of Psychology, 149 (4), 394–411.
71.
WangRuiGuptaAdityaGrewalRajdeep (2017), “Mobility of Top Marketing and Sales Executives in Business-to-Business Markets: A Social Network Perspective,” Journal of Marketing Research, 54 (4), 650–70.
72.
WarnerRebecca (1988), “Rhythm in Social Interaction,” in The Social Psychology of Time: New Perspectives, McGrathJ. E., ed. Beverly Hills, CA: Sage Publications, 63–68.
73.
WojnickiAndrea C.GodesDavid (2017), “Signaling Success: Word of Mouth as Self-Enhancement,” Customer Needs and Solutions, 4 (4), 68–82.
YoonCarolynLeeMichelle P. (2004), “Persuasion Implications of Age-Related Differences in Consumer Processing: The Effects of Motivation and Ability,” working paper, Singapore Management University.
76.
YoonCarolynMayCynthia P.HasherLynn (1999), “Aging, Circadian Arousal Patterns, and Cognition,” in Cognition, Aging, and Self-Reports, ParkD. C.SchwartzN., eds. Philadelphia: Psychology Press, 151–171.
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