The Creation of Dynamic Visual Objects as a Factor for Optimizing Advertisements in E-Commerce

Volodymyr Sysoiev, Svitlana Kuchina, Olena Kitchenko, Tatiana Romanchik, Alexandr Kuchin

Abstract


Introduction: The Covid-19 pandemic has boosted the development of online retail and has created an urgent need to transform digital marketing tools. The purpose of the study is to find ways to optimize advertising in Google and Facebook, which are the superior digital advertising platforms as their top digital advertising platforms in terms of both usage and performance.

Methods: An experiment conducted as part of the study showed that the use of the dynamic optimization tool allows you to enrich existing feed data with additional 1st and 3rd party data and automatically compile visuals with additional information obtained from the feed and additional graphical overlays. The proposed method was tested on Facebook and Google with an analysis of click through rate, conversion rate and conversion cost indicators.

Findings: The research results showed that the use of the dynamic optimization tool improves the effectiveness of online advertising, all the studied indicators has improved on both platforms. The results obtained complement to the few literature sources devoted to creating enriched feeds on various internet companies, so the work is of significant interest for marketers and business owners who work in the field of e-commerce.

Originality: It has been established that in order to increase the conversion rates of ad campaigns and improve the quality of communication with the audience, a deeper study of the behavioral characteristics of visitors of internet resources, as well as high-quality visual content of the ads, are required. 


Keywords


E-Commerce, Internet Advertising, Visual Content, Conversion, Dynamic Optimization Tool

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References


Abou-Elgheit, E. (2018). Understanding Egypt’s emerging social shoppers. Middle East Journal of Management, 5(3), 207–270. https://doi.org/https://doi.org/10.1504/MEJM.2018. 093611

Abtahi, M. S., Behboudi, L., & Hasanabad, H. M. (2017). Factors Affecting Internet Advertising Adoption in Ad Agencies. International Journal of Innovation in the Digital Economy (IJIDE), 8(4), 18–29. https://doi.org/https://doi.org/10.4018/IJIDE.2017100102

Adler, M., Gibbons, P. B., & Matias, Y. (2002). Scheduling space‐sharing for internet advertising. Journal of Scheduling, 5(2), 103–119. https://doi.org/https://doi.org/10.1002/jos.74

Aksu, H., Babun, L., Conti, M., Tolomei, G., & Uluagac, A. S. (2018). Advertising in the IoT era: Vision and challenges. IEEE Communications Magazine, 56(11), 138–144. https://doi.org/https://doi.org/10.1109/mcom.2017.1700871

Alam, M. D. S.-A., Wang, D., & Waheed, A. (2019). Impact of digital marketing on consumers’ impulsive online buying tendencies with intervening effect of gender and education: B2C emerging promotional tools. International Journal of Enterprise Information Systems (IJEIS), 15(3), 44–59. https://doi.org/https://doi.org/10.4018/IJEIS. 2019070103

Azeem, A., & Haq, Z. (2012). Perception towards internet advertising: A study with reference to three different demographic groups. Global Business and Management Research: An International Journal, 4(1), 28–45. https://doi.org/http://www.gbmrjournal.com/ pdf/Azeem%20and%20Haq,%202012.pdf

Bakshi, G., & Gupta, S. . (2013). Online advertising and its impact on consumer buying behavior. International Journal of Research in Finance and Marketing, 3(1), 21–30. https://doi.org/https://euroasiapub.org/wp-content/uploads/2016/09/3-204.pdf

Bonetti, F., Montecchi, M., Plangger, K., & Schau, H. J. (2022). Practice co-evolution: Collaboratively embedding artificial intelligence in retail practices. Journal of the Academy of Marketing Science, 1–22. https://doi.org/https://doi.org/10.1007/s11747-022-00896-1

Boone, G., Secci, J., & Gallant, L. (2015). Emerging Trends in Online Marketing. ICTACT Journal on Management Studies, 01(01), 34–38. https://doi.org/10.21917/ijms.2015.0006

Breuer, R., & Brettel, M. (2012). Short-and long-term effects of online advertising: Differences between new and existing customers. Journal of Interactive Marketing, 26(3), 155–166. https://doi.org/https://doi.org/10.1016/j.intmar.2011.12.001

Ching, R. K. H., Tong, P., Chen, J., & Chen, H. (2013). Narrative online advertising: identification and its effects on attitude toward a product. Internet Research, 23(4), 414–438. https://doi.org/https://doi.org/10.1108/IntR-04-2012-0077

Dall’Olio, F., & Vakratsas, D. (2023). The impact of advertising creative strategy on advertising elasticity. Journal of Marketing, 87(1), 26–44. https://doi.org/https://doi.org/10.1177/00222429221074960

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48, 24–42. https://doi.org/. https://doi.org/10.1007/s11747-019-00696-0

De Haan, E., Wiesel, T., & Pauwels, K. (2016). The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework. International Journal of Research in Marketing, 33(3), 491–507.

Deshwal, P. (2016). Online advertising and its impact on consumer behavior. International Journal of Applied Research, 2(2), 200–204. https://doi.org/https://www.allresearchjournal.com/archives/2016/vol2issue2/PartD/2-1-131.pdf

DiResta, E. A., Williford, K. T., Cohen, A. D., & Genn, A. B. (2020). The impact of COVID-19 on your advertising and marketing campaigns. Holland & Knight Alert. https://doi.org/https://www.hklaw.com/en/insights/publications/2020/04/the-impact-of-covid19-on-your-advertising-and-marketing-campaigns

Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., & Krishen, A. S. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168.

eMarketer. (2022a). Digital Ad Spending Worldwide 2017-2022. https://www.insiderintelligence.com/chart/217161/digital-ad-spending-worldwide-2017-2022-billions-change-of-total-media-ad-spending

eMarketer. (2022b). Worldwide ad spending 2021: A year for the record books. https://www.insiderintelligence.com/content/worldwide-ad-spending-2021-year-record-books

Firat, D. (2019). YouTube advertising value and its effects on purchase intention. Journal of Global Business Insights, 4(2), 141–155. https://doi.org/. https://www.doi.org/10.5038/2640-6489.4.2. 1097

Gaber, H. R., Wright, L. T., & Kooli, K. (2019). Consumer attitudes towards Instagram advertisements in Egypt: The role of the perceived advertising value and personalization. Cogent Business & Management, 6(1), 1618431.

GlobalLogic. (2021). During the year of quarantine, the number of Ukrainian users in social networks increased by 7 million and reached 60% of the country’s population. https://www.globallogic.com/ua/ about/news/social-media-during-quarantine/

Goldfarb, A., & Tucker, C. (2011). Online Display Advertising: Targeting and Obtrusiveness. Marketing Science, 30(3), 389–404. http://www.jstor.org/stable/23012474

Gountas, J., Gountas, S., Ciorciari, J., & Sharma, P. (2019). Looking beyond traditional measures of advertising impact: Using neuroscientific methods to evaluate social marketing messages. Journal of Business Research, 105, 121–135. https://doi.org/https://doi.org/10.1016/j.jbusres.2019.07.011

Grewal, D., Gauri, D. K., Roggeveen, A. L., & Sethuraman, R. (2021). Strategizing Retailing in the New Technology Era. Journal of Retailing, 97(1), 6–12. https://doi.org/https://doi.org/10.1016/j.jretai.2021.02.004

Ha, L. (2008). Online advertising research in advertising journals: A review. Journal of Current Issues & Research in Advertising, 30(1), 31–48.

Hoban, P. R., & Bucklin, R. 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), 375–393. https://doi.org/https://doi.org/10.1509/jmr.13.0277

Hossain, T. M. T., Akter, S., Kattiyapornpong, U., & Dwivedi, Y. (2020). Reconceptualizing integration quality dynamics for omnichannel marketing. Industrial Marketing Management, 87, 225–241. https://doi.org/https://doi.org/10.1016/ j.indmarman.2019.12.006

Hossain, T. M. T., Akter, S., Kattiyapornpong, U., & Dwivedi, Y. K. (2019). Multichannel integration quality: A systematic review and agenda for future research. Journal of Retailing and Consumer Services, 49, 154–163. https://doi.org/https://doi.org/10.1016/j.jretconser.2019.03.019

Huang, B., Juaneda, C., Sénécal, S., & Léger, P.-M. (2021). “Now You See Me”: the attention-grabbing effect of product similarity and proximity in online shopping. Journal of Interactive Marketing, 54, 1–10.

Kim, J., & McMillan, S. J. (2008). Evaluation of Internet Advertising Research: A Bibliometric Analysis of Citations from Key Sources. Journal of Advertising, 37(1), 99–112. https://doi.org/10.2753/JOA0091-3367370108

Kim, N. Y. (2018). The Effect of Ad Customization and Ad Variation on Internet Users’ Perceptions of Forced Multiple Advertising Exposures and Attitudes. Journal of Interactive Advertising, 18(1), 15–27. https://doi.org/10.1080/15252019.2018.1460225

Kindermann, H. (2017). Priming and context effects of banner ads on consumer based brand equity: A pilot study. HCI in Business, Government and Organizations. Supporting Business: 4th International Conference, HCIBGO 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II 4, 55–70. https://doi.org/https://doi.org/10.1007/978-3-319-58484-3_5

King, D., Auschaitrakul, S., & Lin, C.-W. J. (2022). Search modality effects: merely changing product search modality alters purchase intentions. Journal of the Academy of Marketing Science, 50(6), 1236–1256. https://doi.org/https://doi.org/10.1007/s11747-021-00820-z

Komodromos, M., Papaioannou, T., & Adamu, M. A. (2018). Influence of online retailers’ social media marketing strategies on students’ perceptions towards e-shopping: a qualitative study. International Journal of Technology Enhanced Learning, 10(3), 218–234.

Lambrecht, A., & Tucker, C. (2013). When does retargeting work? Information specificity in online advertising. Journal of Marketing Research, 50(5), 561–576. https://doi.org/https://doi.org/10.1509/jmr.11.0503

Liu-Thompkins, Y. (2019). A decade of online advertising research: What we learned and what we need to know. Journal of Advertising, 48(1), 1–13.

Manchanda, P., Dubé, J.-P., Goh, K. Y., & Chintagunta, P. K. (2006). The effect of banner advertising on internet purchasing. Journal of Marketing Research, 43(1), 98–108. https://doi.org/https://www.jp-dube.com/research/papers/19625416.pdf

Mishra, S., Ewing, M. T., & Cooper, H. B. (2022). Artificial intelligence focus and firm performance. Journal of the Academy of Marketing Science, 1–22. https://doi.org/https://doi.org/10.1007/s11747-022-00876-5

Narayanan, S., & Kalyanam, K. (2015). Position Effects in Search Advertising and their Moderators: A Regression Discontinuity Approach. Marketing Science, 34(3), 388–407. http://www.jstor.org/stable/24544840

Planet, W. (2022). A/B Test Calculator – Statistical Significance Calculator. Website Planet. https://www.websiteplanet.com/webtools/abtest-calculator/

Plangger, K., Grewal, D., de Ruyter, K., & Tucker, C. (2022). The future of digital technologies in marketing: A conceptual framework and an overview. Journal of the Academy of Marketing Science, 1–10. https://doi.org/. https://doi.org/10.1007/s11747-022-00906-2

Robinson, H., Wysocka, A., & Hand, C. (2007). Internet advertising effectiveness: the effect of design on click-through rates for banner ads. International Journal of Advertising, 26(4), 527–541. https://doi.org/https://doi.org/10.1080/02650487.2007. 11073031

Rutz, O. J., Bucklin, R. E., & Sonnier, G. P. (2012). A latent instrumental variables approach to modeling keyword conversion in paid search advertising. Journal of Marketing Research, 49(3), 306–319. https://doi.org/https://doi.org/10.1509/jmr.10.0354

Santoso, I., Wright, M., Trinh, G., & Avis, M. (2020). Is digital advertising effective under conditions of low attention? Journal of Marketing Management, 36(17–18), 1707–1730. https://doi.org/https://doi.org/10.1080/0267257X.2020.1801801

Schumann, D., & Thorson, E. (2007). Internet Advertising: Theory and Research. Mahwah. NewJersey: Lawrence Erlbaum Associates.

Shukla, P. S., & Nigam, P. V. (2018). E-shopping using mobile apps and the emerging consumer in the digital age of retail hyper personalization: An insight. Pacific Business Review International, 10(10), 131–139.

Song, Y., Wang, H., Zhang, C., & Wang, L. (2020). Impression space model for the evaluation of Internet advertising effectiveness. Concurrency and Computation: Practice and Experience, 32(11), e5678. https://doi.org/https://doi.org/10.1002/cpe.5678

Van Doorn, J., & Hoekstra, J. C. (2013). Customization of online advertising: The role of intrusiveness. Marketing Letters, 24, 339–351. https://doi.org/https://doi.org/10.1007/s11002-012-9222-1

Varnali, K. (2021). Online behavioral advertising: An integrative review. Journal of Marketing Communications, 27(1), 93–114. https://doi.org/https://doi.org/10.1080/13527266. 2019.1630664

Xu, L., Duan, J. A., & Whinston, A. (2014). Path to purchase: A mutually exciting point process model for online advertising and conversion. Management Science, 60(6), 1392–1412. https://doi.org/https://doi.org/10.1287/mnsc.2014.1952




DOI: http://dx.doi.org/10.26623/themessenger.v14i1.4217

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