The vast amount of content on social media platforms makes it challenging for firms to create posts that get noticed. An increasingly popular approach to increase customer engagement relies on text overlays, where text is placed directly on images. Such practices raise questions of how to balance the visual and text elements for the best impact. Three key factors, commonly used by practitioners, can trigger engagement because of their visual salience: (1) the degree of dynamism or implied motion in the image as well as the (2) size and (3) centrality of the text overlay. Using multiple methods, including field studies, online experiments, and managerial interviews, the authors establish that a text overlay that is too large and centrally placed, combined with a dynamic image, has negative effects on consumer engagement, because these design combinations make the post visually unappealing. The authors leverage these findings to develop an interactive app that can help managers compose more engaging multimodal social media posts.
AffonsoFelipe M.JaniszewskiChris (2023), “Marketing by Design: The Influence of Perceptual Structure on Brand Performance,” Journal of Marketing, 87 (53), 736–54.
2.
AgnihotriRajDingusRebeccaHuMichael Y.KrushMichael T. (2016), “Social Media: Influencing Customer Satisfaction in B2B Sales,” Industrial Marketing Management, 53, 172–80.
3.
AppelGilGrewalLaurenHadiRhondaStephenAndrew T. (2020), “The Future of Social Media in Marketing,” Journal of the Academy of Marketing Science, 48 (1), 79–95.
4.
ArnheimRudolf (1954), Art and Visual Perception: A Psychology of the Creative Eye. University of California Press.
5.
AtalayA. SelinBodurH. OnurRasolofoarisonDina (2012), “Shining in the Center: Central Gaze Cascade Effect on Product Choice,” Journal of Consumer Research, 39 (4), 848–66.
BatemanJohn A. (2014), Text and Image. A Critical Introduction to the Visual/Verbal Divide. Routledge.
10.
BergerJonahHumphreysAshleeLudwigStephanMoeWendy W.NetzerOdedSchweidelDavid A. (2020), “Uniting the Tribes: Using Text for Marketing Insight,” Journal of Marketing, 84 (1), 1–25.
11.
BergerJonahMilkmanKatherine L. (2012), “What Makes Online Content Viral?” Journal of Marketing Research, 49 (2), 192–205.
12.
BerlyneDaniel E. (1974), Studies in the New Experimental Aesthetics: Steps Toward an Objective Psychology of Aesthetic Appreciation. Hemisphere Publishing Corporation.
13.
BlanchardSimon J.GoldenbergJacobPauwelsKoenSchweidelDavid A. (2022), “Promoting Data Richness in Consumer Research: How to Develop and Evaluate Articles with Multiple Data Sources,” Journal of Consumer Research, 49 (2), 359–72.
14.
BoegershausenJohannesDattaHannesBorahAbhishekStephenAndrew T. (2022), “Fields of Gold: Scraping Web Data for Marketing Insights,” Journal of Marketing, 86 (5), 1–20.
15.
BorahAbhishekBanerjeeSourindraLinYu-TingJainApurvEisingerichAndreas B. (2020), “Improvised Marketing Interventions in Social Media,” Journal of Marketing, 84 (2), 69–91.
16.
BraselS. AdamGipsJames (2008), “Breaking Through Fast-Forwarding: Brand Information and Visual Attention,” Journal of Marketing, 72 (6), 31–48.
17.
BraunMichaelDe LangheBartPuntoniStefanoSchwartzEric M. (2024), “Leveraging Digital Advertising Platforms for Consumer Research,” Journal of Consumer Research, 51 (1), 119–28.
18.
BreitmeyerBruno G. (2007), “Visual Masking: Past Accomplishments, Present Status, Future Developments,” Advances in Cognitive Psychology, 3 (1–2), 9–20.
19.
Cascio RizzoGiovanni L.OrdenesFrancisco VillarroelPozharlievRumenDe AngelisMatteoCostabileMichele (2024), “How High-Arousal Language Shapes Micro-Versus Macro-Influencers’ Impact,” Journal of Marketing, 88 (4), 107–28.
20.
ChaikenShelleyTropeYaacov (1999), Dual-Process Theories in Social Psychology. Guilford Press.
21.
ChanIrene Chen ChuChenZhaoyuLeungDaniel (2023), “The More the Better? Strategizing Visual Elements in Social Media Marketing,” Journal of Hospitality and Tourism Management, 54 (March), 268–89.
22.
ChenSiyunPonomarenkoVeronikaLvLinxiangAhlstromDavid (2024), “Visual Complexity, Brand Gender, and Ad Effectiveness,” International Journal of Research in Marketing (published online September 21), https://doi.org/10.1016/j.ijresmar.2024.09.004.
23.
ChunMarvin M.WolfeJeremy M. (2005), “Visual Attention,” in Blackwell Handbook of Sensation and Perception, E. Bruce Goldstein, ed. John Wiley & Sons, 272–310.
24.
CianLucaKrishnaAradhnaElderRyan S. (2014), “This Logo Moves Me: Dynamic Imagery from Static Images,” Journal of Marketing Research, 51 (2), 184–97.
25.
CianLucaKrishnaAradhnaElderRyan S. (2015), “A Sign of Things to Come: Behavioral Change Through Dynamic Iconography,” Journal of Consumer Research, 41 (6), 1426–46.
DosovitskiyAlexeyBeyerLucasKolesnikovAlexanderWeissenbornDirkZhaiXiaohuaUnterthinerThomasDehghaniMostafaMindererMatthiasHeigoldGeorgGellySylvainUszkoreitJakobHoulsbyNeil (2020), “An Image is Worth 16 (16 Words: Transformers for Image Recognition at Scale),” arXiv, https://doi.org/10.48550/arXiv.2010.11929.
28.
FangYingZhuLiyuCaoXueniZhangLiqunLiXiaodong (2020), “Visual Saliency: How Text Influences,” in Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, MeiselwitzG., ed. Springer.
29.
FirozeAdnanOsmanTousifPsycheShahreen S.RahmanRashedur M. (2018), “Scoring Photographic Rule of Thirds in a Large MIRFLICKR Dataset: A Showdown Between Machine Perception and Human Perception of Image Aesthetics,” in Asian Conference on Intelligent Information and Database Systems. Springer, 466–75.
30.
GardnerJonathan S.FowlkesCharlessNothelferChristinePalmerStephen E. (2008), “Exploring Aesthetic Principles of Spatial Composition Through Stock Photography,” Journal of Vision, 8 (6), 337–337.
31.
GavilanesJosé ManuelFlattenTessa ChristinaBrettelMalte (2018), “Content Strategies for Digital Consumer Engagement in Social Networks: Why Advertising Is an Antecedent of Engagement,” Journal of Advertising, 47 (1), 4–23.
32.
GershoniSharonHochsteinShaul (2011), “Measuring Pictorial Balance Perception at First Glance Using Japanese Calligraphy,” I-perception, 2 (6), 508–27.
33.
GongShiyangZhangJuanjuanZhaoPingJiangXuping (2017), “Tweeting as a Marketing Tool: Field Experiment in the TV Industry,” Journal of Marketing Research, 54 (6), 833–50.
34.
GrewalDhruvHerhausenDennisLudwigStephanOrdenesFrancisco Villarroel (2022), “The Future of Digital Communication Research: Considering Dynamics and Multimodality,” Journal of Retailing, 98 (2), 224–40.
35.
GrewalRajdeepGuptaSachinHamiltonRebecca (2021), “Marketing Insights from Multimedia Data: Text, Image, Audio, and Video,” Journal of Marketing Research, 58 (6), 1025–33.
36.
GrinsteinAmirHagtvedtHenrikKronrodAnn (2019), “Aesthetically (Dis)Pleasing Visuals: A Dual Pathway to Empathy and Prosocial Behavior,” International Journal of Research in Marketing, 36 (1), 83–99.
37.
HagtvedtHenrik (2011), “The Impact of Incomplete Typeface Logos on Perceptions of the Firm,” Journal of Marketing, 75 (4), 86–93.
38.
HagtvedtHenrik (2022), “A Brand (New) Experience: Art, Aesthetics, and Sensory Effects,” Journal of the Academy of Marketing Science, 50 (3), 425–8.
39.
HagtvedtHenrikBraselS. Adam (2017), “Color Saturation Increases Perceived Product Size,” Journal of Consumer Research, 44 (2), 396–413.
40.
HagtvedtHenrikPatrickVanessa M. (2008), “Art Infusion: The Influence of Visual Art on the Perception and Evaluation of Consumer Products,” Journal of Marketing Research, 45 (3), 379–89.
41.
HagtvedtHenrikPatrickVanessa M.HagtvedtReidar (2008), “The Perception and Evaluation of Visual Art,” Empirical Studies of the Arts, 26 (2), 197–218.
42.
HartmannJochenHeitmannMarkSchampChristinaNetzerOded (2021), “The Power of Brand Selfies in Consumer-Generated Brand Images,” Journal of Marketing Research, 58 (6), 1159–77.
43.
HeKaimingZhangXiangyuRenShaoqingSunJian (2016), “Deep Residual Learning for Image Recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770–78.
44.
HekkertPaul (2006), “Design Aesthetics: Principles of Pleasure in Design,” Psychology Science, 48 (2), 157–72.
45.
HendersonJohn M.WeeksPhillip A.Jr.HollingworthAndrew (1999), “The Effects of Semantic Consistency on Eye Movements During Complex Scene Viewing,” Journal of Experimental Psychology: Human Perception and Performance, 25 (1), 210–28.
46.
HerhausenDennisLudwigStephanGrewalDhruvWulfJochenSchoegelMarcus (2019), “Detecting, Preventing, and Mitigating Online Firestorms in Brand Communities,” Journal of Marketing, 83 (3), 1–21.
HubbardTimothy L. (1995), “Cognitive Representation of Motion: Evidence for Friction and Gravity Analogues,” Journal of Experimental Psychology: Learning, Memory, and Cognition, 21 (1), 241–54.
49.
JalaliNima Y.PapatlaPurushottam (2019), “Composing Tweets to Increase Retweets,” International Journal of Research in Marketing, 36 (4), 647–68.
50.
JuddCharles M.WestfallJacobKennyDavid A. (2012), “Treating Stimuli as a Random Factor in Social Psychology: A New and Comprehensive Solution to a Pervasive but Largely Ignored Problem,” Journal of Personality and Social Psychology, 103 (1), 54–69.
KanuriVamsi KChenYixingSridharShrihari (Hari) (2018), “Scheduling Content on Social Media: Theory, Evidence, and Application,” Journal of Marketing, 82 (6), 89–108.
53.
KimJang HyunKimYunhwan (2019), “Instagram User Characteristics and the Color of Their Photos: Colorfulness, Color Diversity, and Color Harmony,” Information Processing & Management, 56 (4), 1494–1505.
54.
KosslynStephen M. (2006), Graph Design for the Eye and Mind. Oxford University Press.
55.
KressGunthervan LeeuwenTheo (2006), Reading Images. The Grammar of Visual Design. Routledge.
56.
KwanCanice M.C.DaiXianchiWyerRobert S.Jr. (2017), “Contextual Influences on Message Persuasion: The Effect of Empty Space,” Journal of Consumer Research, 44 (2), 448–64.
57.
LiYiyiXieYing (2020), “Is a Picture Worth a Thousand Words? An Empirical Study of Image Content and Social Media Engagement,” Journal of Marketing Research, 57 (1), 1–19.
58.
LocherPaul J. (2003), “An Empirical Investigation of the Visual Rightness Theory of Picture Perception,” Acta Psychologica, 114 (2), 147–64.
59.
LocherPaul J.SmithJeffrey K.SmithLisa F. (2001), “The Influence of Presentation Format and Viewer Training in The Visual Arts on the Perception of Pictorial and Aesthetic Qualities of Paintings,” Perception, 30 (4), 449–65.
60.
LocherPaul J.StappersPieter JanOverbeekeKees (1999), “An Empirical Evaluation of the Visual Rightness Theory of Pictorial Composition,” Acta Psychologica, 103 (3), 261–80.
61.
LuangrathAndrea WebbPeckJoannBargerVictor A. (2017), “Textual Paralanguage and its Implications for Marketing Communications,” Journal of Consumer Psychology, 27 (1), 98–107.
62.
MarinovaDetelinaSinghSunil K.SinghJagdip (2018), “Frontline Problem-Solving Effectiveness: A Dynamic Analysis of Verbal and Nonverbal Cues,” Journal of Marketing Research, 55 (2), 178–92.
63.
McShaneLindsayPancerEthanPooleMaxwellDengQi (2021), “Emoji, Playfulness, and Brand Engagement on Twitter,” Journal of Interactive Marketing, 53, 96–110.
64.
MilosavljevicMilicaNavalpakkamVidhyaKochChristofRangelAntonio (2012), “Relative Visual Saliency Differences Induce Sizable Bias in Consumer Choice,” Journal of Consumer Psychology, 22 (1), 67–74.
65.
MoeWendy W.SchweidelDavid A. (2017), “Opportunities for Innovation in Social Media Analytics,” Journal of Product Innovation Management, 34 (5), 697–702.
66.
MoffettJordan WGarretson FolseJudith AnnePalmatierRobert W. (2021), “A Theory of Multiformat Communication: Mechanisms, Dynamics, and Strategies,” Journal of the Academy of Marketing Science, 49, 441–61.
67.
OvergoorGijsRandWilliamMazloomMasoud (2022), “Simplicity Is Not Key: Understanding Firm-Generated Social Media Images and Consumer Liking,” International Journal of Research in Marketing, 39 (3), 639–55.
68.
PackardGrantBergerJonah (2023), “The Emergence and Evolution of Consumer Language Research,” Journal of Consumer Research, 51 (1), 42–51.
69.
PancerEthanChandlerVincentPooleMaxwellNoseworthyTheodore J. (2019), “How Readability Shapes Social Media Engagement,” Journal of Consumer Psychology, 29 (2), 262–70.
PeracchioLaura A.Meyers-LevyJoan (2005), “Using Stylistic Properties of Ad Pictures to Communicate with Consumers,” Journal of Consumer Research, 32 (1), 29–40.
72.
PietersRikWedelMichel (2004), “Attention Capture and Transfer in Advertising: Brand, Pictorial, and Text-Size Effects,” Journal of Marketing, 68 (2), 36–50.
73.
PietersRikWedelMichel (2007), “Goal Control of Attention to Advertising: The Yarbus Implication,” Journal of Consumer Research, 34 (2), 224–33.
74.
PietersRikWedelMichelBatraRajeev (2010), “The Stopping Power of Advertising: Measures and Effects of Visual Complexity,” Journal of Marketing, 74 (5), 48–60.
PoorMorganDuhachekAdamKrishnanH. Shanker (2013), “How Images of Other Consumers Influence Subsequent Taste Perceptions,” Journal of Marketing, 77 (6), 124–39.
77.
PracejusJohn W.OlsenG. DouglasO’GuinnThomas C. (2006), “How Nothing Became Something: White Space, Rhetoric, History, and Meaning,” Journal of Consumer Research, 33 (1), 82–90.
78.
PreacherKristopher J.ZyphurMichael J.ZhangZhen (2010), “A General Multilevel SEM Framework for Assessing Multilevel Mediation,” Psychological Methods, 15 (3), 209–33.
79.
RosenholtzRuthJinZhenlan (2005), “A Computational Form of the Statistical Saliency Model for Visual Search,” Journal of Vision, 5 (8), 777.
80.
SahniNavdeep S.WheelerS. ChristianChintaguntaPradeep (2018), “Personalization in Email Marketing: The Role of Noninformative Advertising Content,” Marketing Science, 37 (2), 236–58.
SampleKevin L.HagtvedtHenrikBraselS. Adam (2020), “Components of Visual Perception in Marketing Contexts: A Conceptual Framework and Review,” Journal of the Academy of Marketing Science, 48 (3), 405–21.
83.
SchweidelDavid A.MoeWendy W. (2014), “Listening in on Social Media: A Joint Model of Sentiment and Venue Format Choice,” Journal of Marketing Research, 51 (4), 387–402.
84.
SevillaJulioMeyerRobert J. (2020), “Leaving Something for the Imagination: The Effect of Visual Concealment on Preferences,” Journal of Marketing, 84 (4), 109–26.
SisodiaAnkitBurnapAlexKumarVineet (2024), “Generative Interpretable Visual Design: Using Disentanglement for Visual Conjoint Analysis,” Journal of Marketing Research, 62 (3), 405–28.
87.
SmithAndrew N.FischerEileen (2021), “Pay Attention, Please! Person Brand Building in Organized Online Attention Economies,” Journal of the Academy of Marketing Science, 49, 258–79.
TatlerBenjamin W. (2007), “The Central Fixation Bias in Scene Viewing: Selecting an Optimal Viewing Position Independently of Motor Biases and Image Feature Distributions,” Journal of Vision, 7 (14), 1–17.
90.
TreismanAnne M.GeladeGarry (1980), “A Feature-Integration Theory of Attention,” Cognitive Psychology, 12 (1), 97–136.
Van der LansRalfPietersRikWedelMichel (2021), “Online Advertising Suppresses Visual Competition During Planned Purchases,” Journal of Consumer Research, 48 (3), 374–93.
93.
Van DoornJennyLemonKatherine N.MittalVikasNassStephanPickDoreénPirnerPeterVerhoefPeter C. (2010), “Customer Engagement Behavior: Theoretical Foundations and Research Directions,” Journal of Service Research, 13 (3), 253–66.
94.
Van RompayThomas J.L.De VriesPeter W.Van VenrooijXaviera G. (2010), “More Than Words: On the Importance of Picture–Text Congruence in the Online Environment,” Journal of Interactive Marketing, 24 (1), 22–30.
Villarroel OrdenesFranciscoGrewalDhruvLudwigStephanDe RuyterKoMahrDominikWetzelsMartin (2019), “Cutting Through Content Clutter: How Speech and Image Acts Drive Consumer Sharing of Social Media Brand Messages,” Journal of Consumer Research, 45 (5), 988–1012.
97.
WalkerLornaBainesPaul R.DimitriuRaduMacdonaldEmma K. (2017), “Antecedents of Retweeting in a (Political) Marketing Context,” Psychology & Marketing, 34 (3), 275–93.
98.
WiesSimoneBleierAlexanderEdelingAlexander (2023), “Finding Goldilocks Influencers: How Follower Count Drives Social Media Engagement,” Journal of Marketing, 87 (3), 383–405.
99.
WilsonAshleyChatterjeeAnjan (2005), “The Assessment of Preference for Balance: Introducing a New Test,” Empirical Studies of the Arts, 23 (2), 165–80.
100.
WolfeJeremy M (1998), “What Can 1 Million Trials Tell Us About Visual Search?” Psychological Science, 9 (1), 33–9.
ZhangJieWedelMichelPietersRik (2009), “Sales Effects of Attention to Feature Advertisements: A Bayesian Mediation Analysis,” Journal of Marketing Research, 46 (5), 669–81.
103.
ZhangShunyuanLeeDokyunSinghParam VirSrinivasanKannan (2022), “What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features,” Management Science, 68 (8), 5644–66.
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