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The AI Revolution Changing the Advertising Business: The Challenge of Quantum Marketing

The modern advertising industry is facing "media fragmentation" and an "explosion of content volume" that traditional theories and methods can no longer handle, due to the spread of the internet and social media, as well as the explosive increase in data volume. Raja Rajamanar of Mastercard also emphasizes that the introduction of new technology is urgent, stating, "Marketing as we know it must take a quantum leap forward." In this article, based on a dialogue with Stefan Pletorius of WPP, we will explain the potential of AI (Artificial Intelligence) to transform the advertising business and the role that humans should play, incorporating specific examples and quotes.


1. The Current State of the Advertising Industry


1-1. Media Fragmentation and the Explosion of Content Volume

  • Media fragmentation: Consumers use a diverse range of channels across the board, including television, social media, podcasts, and streaming.

  • Explosion of content volume: The number of advertisements received daily reaches an average of "3,000 to 10,000," and the reality is that most are forgotten in a short amount of time.

1-2. Decrease in Human Attention Span

  • Stefan points out that "the attention span of modern consumers is less than 8 seconds," and states that the challenge is how to capture attention amidst an overwhelming amount of content.

2. The Role of AI and Human Value


2-1. Automation of Routine Tasks and the Shift to High-Value-Added Work

"Humans have to spend their time on the high quality high value tasks and… push the factory-based work to AI."
("Humans have to spend their time on the high quality high value tasks and… push the factory-based work to AI.")

Stefan argues that it is inefficient for humans to create and adjust 10,000 variants of an advertisement, and that instant automation by AI is essential.

2-2. Predictive Models for Content Optimization (Performance Brain)

  • Performance Brain: AI assigns a "predictive score" to each ad variation, selecting the most cost-effective creative.

  • This has the potential to avoid "wasted media investment on the scale of tens of millions of yen."

3. The Concept of "Quantum Marketing"


3-1. The Gap with Traditional Theory

Raja points out that "traditional marketing theory is based on theories from over 60 years ago, before the advent of the internet and AI," and views the discrepancy with the reality on the ground as a problem.

3-2. The Rise of AI-Driven Systems

  • Brand Brain: Learns the tone and visual guidelines for each company to realize consistent content generation.

  • "Quantum Marketing" refers to a method of conducting marketing activities at many times the speed and precision of traditional methods by utilizing these AI systems.

4. WPP Open Platform Demonstration


4-1. Leveraging Brand Assets with Brand Brain

In the demo showcased by Stefan for "Zia" (a fictional perfume brand), a custom-trained AI model automatically generated text and images in line with brand guidelines.

4-2. The Potential of Synthetic Focus Groups

"It is impossible for humans to read 1,000 pages of marketing materials. However, synthetic focus groups can provide vast insights instantaneously."

Synthetic focus groups are a new method that allows for the validation of ideas from diverse perspectives without using actual consumers.

4-3. Managing Massive Variations via Matrix

  • 13,000 advertising variants were generated on the platform and listed in a matrix format.

  • Users can display the "top N recommendations" and quickly focus on creatives with high predicted effectiveness.

5. Creativity in the AI Era and the Future of Humanity


5-1. Commercial Creativity vs. Artistic Creation

Stefan distinguishes between the two, stating, "AI is extremely useful for commercial creativity (creation that leads to business results), but pure artistic creation remains the domain of humans."

5-2. Innovation Through Human-AI Collaboration

"We should not be building machines that invent in the same way humans do, but rather software that enhances human intelligence."

As this statement suggests, AI is positioned as a partner that extends human capabilities and allows us to focus on higher-level problem solving.

6. Organizational Efforts and Challenges for AI Adoption


6-1. The Utility of Non-Personal Data

Stefan suggests a rethink of data utilization, stating, "Contextual data such as weather and seasons is often more effective for predicting behavior than personal data that identifies who someone is."

6-2. Promoting AI Adoption Across the Entire Company

"Simply establishing an AI department is not enough. It is necessary for the entire organization, from the CEO to the front lines, to be involved."

Since delays in adoption lead to a loss of competitiveness, starting now is considered the only solution.

AI automates routine advertising production processes, freeing humans for "high-level strategic planning" and "creative thinking." However, to realize true "quantum marketing," it is essential to transform organizational culture, not just adopt technology. Following Stefan's advice, prioritize "practice over theory" and take a step into the future of AI-driven marketing as soon as possible.


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