AI in Ad Management
2026-06-15 00:39:20

Exploring the New Norms of Ad Management in the AI Era: Strategies and Pitfalls

Webinar on AI’s Impact on Advertising Management



On June 24, 2026, at 12:00 PM, Spider Labs in collaboration with CyberACE will host a free online webinar titled _"Exploring the New Norms of Ad Management in the AI Era: Strategies and Pitfalls"_.

With the rise of generative AI, automated bidding strategies, and AI optimization features like P-MAX, it's crucial for marketers to comprehend the new dynamics of ad management. The correct design of advertising delivery structures and the elimination of distracting noise has become vital for successful advertising outcomes. In this webinar, key players from both Spider Labs, known for their ad fraud prevention tool Spider AF, and CyberACE, a leader in advertising strategy design and operational support, will share insights into maximizing advertising results in this AI-driven age.

Webinar Overview



The discussion will center around two primary themes: the revision of delivery structures and the strategies to combat fraudulent traffic. Audience members will gain an understanding of how to design and operate effective advertising campaigns that leverage AI-driven optimizations, ensuring efficient resource use. Participants can expect insights regarding the impacts of bogus clicks and low-quality traffic on AI's learning processes, as well as preventive measures against financial losses in advertisement expenditures.

Both organizations will present practical methods to detect pitfalls in modern advertising management while offering effective solutions to navigate these challenges successfully.

Who Should Attend?


This webinar is especially beneficial for:
  • - Marketing professionals who are using AI automated bidding and P-MAX but are struggling with achieving effective results.
  • - Those who feel uneasy with the opacity of advertising delivery methods.
  • - Individuals looking to address issues related to wasted ad budget, fraudulent clicks, and undesirable traffic.
  • - Anyone eager to learn about the latest trends in advertisement management within the AI context.

Event Details


  • - Date: June 24, 2026
  • - Time: 12:00 PM - 1:00 PM (JST)
  • - Format: Online
  • - Cost: Free of charge
  • - Capacity: 500 participants
  • - Registration: Sign up via the webinar registration page to secure a spot.

Featured Speakers


  • - Ren Fukuda, Chief of Account Planning Department, CyberACE: With a wealth of experience in marketing support tools and a focus on CVR improvement strategies, Ren has worked on pioneering proposals that align with AI advancements in marketing structure.

  • - Aoi Nishimizu, Sales Executive, Spider Labs: A seasoned sales executive, Aoi has transitioned from working with major enterprises to leading advertising operations at Spider Labs, specializing in combatting ad fraud.

About Ad Fraud Prevention


Ad fraud refers to deceptive practices aimed at inflating ad impressions and clicks, ultimately siphoning off advertising budgets. By 2025, it is estimated that around 4.81% of average ad budgets will be affected due to these fraudulent activities, necessitating regular oversight. The _Spider AF Ad Fraud Prevention_ tool acts as a solution to detect and block inherent ad fraud during advertisement deployment, ensuring efficient spending. With status as the number one choice for ad fraud prevention tools in Japan, Spider AF enables simple implementation through automatic detection and blocking capabilities.

Company Background


  • - Name: Spider Labs, Inc.
  • - Headquarters: 4F, Minami Aoyama ST Bldg, 7-10-3 Minami Aoyama, Minato-ku, Tokyo, Japan
  • - CEO: Akiyuki Otsuki
  • - Business Scope: Development and operation of the marketing security SaaS _Spider AF_, providing solutions for ad fraud, resale, invalid CV, and affiliate security.
  • - Founded: April 2011
  • - Website: Spider AF

This engaging webinar is a must-attend for anyone looking to stay ahead in the evolving world of advertising management, optimized through artificial intelligence.


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Topics Consumer Technology)

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