The Future of Digital Advertising: Predictions for the Next Five Years
Hi there everyone! Today, we are going to peer into the digital horizon by discussing three significant developments that are poised to shape the future of digital advertising: the rise of artificial intelligence (AI), the increasing importance of unstructured data, and the evolution of the sharing economy.
1. The Rise of Artificial Intelligence (AI)
AI is set to revolutionize digital advertising in numerous ways. From creating personalized ad content to optimizing ad delivery, AI will make advertising more efficient and effective. According to a recent publication in the Review of Marketing Research, AI is becoming increasingly relevant to marketing, with researchers developing new insights, approaches, and directions for AI in the field (Sudhir & Toubia, 2023).
AI can analyze large amounts of data to identify patterns and trends that humans might miss. This can help advertisers better understand their audience and create more targeted and effective ads (Sudhir & Toubia, 2023). For example, AI can analyze a user’s browsing history, social media activity, and online purchases to create a detailed profile of their interests and preferences. This information can then be used to deliver personalized ads that are more likely to resonate with the user.
Moreover, AI is also being used to automate the creation of ad content. Platforms like Phrasee use AI to generate ad copy that is tailored to the target audience and optimized for conversion. This not only saves time but also ensures that the ad copy is effective and consistent with the brand’s voice.
2. The Increasing Importance of Unstructured Data
Unstructured data, such as text, images, and videos, is becoming increasingly important in digital advertising. This type of data can provide valuable insights into consumer behavior and preferences (Balducci et al., 2018). For instance, analyzing user-generated content such as reviews and social media posts can help advertisers understand what consumers like and dislike about their products or services.
According to the same publication in the Review of Marketing Research, researchers are applying machine learning methods to extract useful information from unstructured data (Sudhir & Toubia, 2023). This information, combined with structured data, can be used to conduct a thorough analysis and policy simulations to examine important issues emerging in the digital advertising arena.
Furthermore, unstructured data is also being used to create more engaging and interactive ads. For example, advertisers are using image recognition technology to create shoppable ads, where users can click on items in an image to view product details or make a purchase (Balducci et al., 2018). This not only enhances the user experience but also provides a direct path from ad to purchase, improving conversion rates.
3. The Evolution of the Sharing Economy
The sharing economy, characterized by platforms like Airbnb and Uber, is changing the way businesses advertise. These platforms rely heavily on user reviews and ratings, which can be a powerful form of advertising. Positive reviews can attract new customers, while negative reviews can provide valuable feedback for improvement. Shunyuan Zhang, an Assistant Professor in the Marketing unit at Harvard Business School, studies the sharing economy and the marketing problems that the dynamics of this new economy present. She uses machine learning methods, including deep learning, to extract useful information from unstructured data and conducts policy simulations to examine important issues in the sharing economy (Zhang et al., 2022).
In addition, the sharing economy is also leading to new forms of collaborative advertising. Businesses on these platforms are partnering with each other to offer bundled services or special deals. For example, an Airbnb host might partner with a local restaurant to offer guests a discount, benefiting both businesses by driving traffic and enhancing the customer experience (Zhang et al., 2022).
I predict that the future of digital advertising will be shaped by the rise of AI, the increasing importance of unstructured data, and the evolution of the sharing economy. These developments will enhance digital advertising by making it more personalized, data-driven, and consumer-focused. As we move forward, advertisers who can effectively leverage these trends will be well-positioned to succeed in the evolving digital landscape.
References:
Sudhir, K., & Toubia, O. (2023). Artificial Intelligence in Marketing. Review of Marketing Research (Vol. 20). Emerald Publishing Limited. https://doi.org/10.1108/S1548-643520230000020017
Balducci, B., & Marinova, D. (2018) Unstructured data in marketing. J. of the Acad. Mark. Sci. 46, 557–590. https://doi.org/10.1007/s11747-018-0581-x
Zhang, S., Lee, D., Singh, P. V., & Mukhopadhyay, T. (2022). Demand interactions in sharing economies: Evidence from a natural experiment involving Airbnb and uber/lyft. SSRN Electronic Journal, (2). https://doi.org/10.2139/ssrn.3124712