IDEAS home Printed from https://ideas.repec.org/a/ora/journl/v1y2022i2p259-270.html
   My bibliography  Save this article

The Role Of Artificial Intelligence In Content Creation And Checking Its Effectiveness In The Google Ads Advertising System

Author

Listed:
  • Zoltán SOMOSI

    (Marketing and Tourism Institue, Faculity of Economics, University of Miskolc, Miskolc, Hungary)

Abstract

n Hungary, 94% of businesses have Internet access and 63% have a website. Moreover, online retail sales will reach HUF 1,203 billion in 2021. In order for companies to achieve the largest possible market share, they can use various digital marketing strategies. They are distinguished according to different methods. One of the most commonly used in practice and in science is inbound (as search engine optimization) and outbound (as advertising). Google Ads, which emerged at the turn of the millennium and defined itself as the world’s first company to use machine learning technology, is a market leader. Their ad system was initially based on keywords, which have since been expanded to include more than 4,800 types of targeting criteria. These targeting options are available for a variety of ad formats. The digital solutions to the billboards of traditional marketing are banner ads, called Display on Google. These ads contain image, video, and text content and aim to interrupt the consumer’s activity and redirect them to the advertiser’s website. Since they are capable of increasing website traffic by up to 300%, this can be interpreted as an opportunity that is also considered favorable by businesses. It is also suitable for testing various content elements, as one of its main indicators, the click-through rate, expresses the relevance of the ad, as several researchers have noted. As the role of artificial intelligence grows, more and more companies are using it as a competitive advantage. Some of their algorithms are capable of generating text, images, videos, or other content. In this study, I leverage the power of display ads and conduct my research in the Google Ads system instead of conducting consumer surveys. I created two ads for the same target audience, with the same budget and settings. The text content for one ad was created by a marketer, the image content was created by a professional photographer, and the content elements for the other ad were provided by Artificial Intelligence. The objective of the article is to study the performance, efficiency, and impact of artificial intelligence-generated content on conversions under real market conditions. The study also includes content created by the players.

Suggested Citation

  • Zoltán SOMOSI, 2022. "The Role Of Artificial Intelligence In Content Creation And Checking Its Effectiveness In The Google Ads Advertising System," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 2(2), pages 259-270, December.
  • Handle: RePEc:ora:journl:v:1:y:2022:i:2:p:259-270
    as

    Download full text from publisher

    File URL: http://anale.steconomiceuoradea.ro/volume/2022/n2/025.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bleoju, Gianita & Capatina, Alexandru & Rancati, Elisa & Lesca, Nicolas, 2016. "Exploring organizational propensity toward inbound–outbound marketing techniques adoption: The case of pure players and click and mortar companies," Journal of Business Research, Elsevier, vol. 69(11), pages 5524-5528.
    2. Ahmed, Md. Tanveer & Kwon, Changhyun, 2012. "Pricing game of online display advertisement publishers," European Journal of Operational Research, Elsevier, vol. 219(2), pages 477-487.
    3. Gianita Bleoju & Alexandru Capatina & Elisa Rancati & Nicolas Lesca, 2016. "Exploring organizational propensity toward inbound–outbound marketing techniques adoption: The case of pure players and click and mortar companies," Post-Print hal-02014225, HAL.
    4. Gianita Bleoju & Alexandru Capatina & Elisa Rancati & Nicolas Lesca, 2016. "Exploring organizational propensity toward inbound- outbound marketing techniques adoption: the case of pure players and click and mortar companies," Post-Print hal-02047795, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adrian MICU & Marius GERU & Angela-Eliza MICU, 2017. "Developing Customer Trust in E-Commerce Using Inbound Marketing Strategies," Proceedings RCE 2017, Editura Lumen, vol. 0, pages 522-531, November.
    2. Ponzoa, José M. & Gómez, Andrés & Mas, José M., 2023. "EU27 and USA institutions in the digital ecosystem: Proposal for a digital presence measurement index," Journal of Business Research, Elsevier, vol. 154(C).
    3. Banerjee, Syagnik & Xu, Shichun & Johnson, Scott D., 2021. "How does location based marketing affect mobile retail revenues? The complex interplay of delivery tactic, interface mobility and user privacy," Journal of Business Research, Elsevier, vol. 130(C), pages 398-404.
    4. Catherine McTeigue & Claudia Sanchez & Edson Santos & Cicero Eduardo Walter & Manuel Au-Yong-Oliveira, 2021. "A Strategy for Tourism Growth, Rebound, and Revival: Promoting Portugal as a Destination Post-COVID-19," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    5. Eva M. Sánchez-Teba & Josefa García-Mestanza & Mercedes Rodríguez-Fernández, 2020. "The Application of the Inbound Marketing Strategy on Costa del Sol Planning & Tourism Board. Lessons for Post-COVID-19 Revival," Sustainability, MDPI, vol. 12(23), pages 1-15, November.
    6. Sławomir Ostrowski, 2021. "Commitment Ladder in the Relationship between Service Providers and Customers as Added Value in Sustainable Services Development," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    7. Adrian MICU & Marius GERU & Angela-Eliza MICU, 2017. "Developing Customer Trust in E-Commerce Using Inbound Marketing Strategies," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 522-531.
    8. Erdmann, Anett & Ponzoa, José M., 2021. "Digital inbound marketing: Measuring the economic performance of grocery e-commerce in Europe and the USA," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    9. Hoppe-Wewetzer, Heidrun C. & Siemering, Christian, 2020. "Advertisement-Financed Credit Ratings," CEPR Discussion Papers 14735, C.E.P.R. Discussion Papers.
    10. Jiang, Guoyin & Tadikamalla, Pandu R. & Shang, Jennifer & Zhao, Ling, 2016. "Impacts of knowledge on online brand success: an agent-based model for online market share enhancement," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1093-1103.
    11. Heidrun Hoppe-Wewetzer & Christian Siemering, 2022. "Advertisement-financed credit ratings," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 188-206, January.

    More about this item

    Keywords

    Digital Marketing; Artificial Intelligence; Advertising; Google Ads; PPC;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ora:journl:v:1:y:2022:i:2:p:259-270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catalin ZMOLE (email available below). General contact details of provider: https://edirc.repec.org/data/feoraro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.