ECDMA is pleased to announce an exclusive online workshop, “Proactive Optimization: Using AI to Detect When Your Campaign Needs a Refresh,” led by Dmytro Kyiashko, Software Developer in Test and AI systems testing expert. Scheduled for November 3rd, 2023, this session offers a valuable opportunity for performance marketers, digital teams, and business leaders to explore how artificial intelligence can proactively identify campaign fatigue and guide smarter optimization decisions across modern advertising platforms.
In today’s data-saturated advertising environment, reacting to declining KPIs is often too late. This workshop focuses on how AI-driven analysis can detect early warning signals and recommend timely actions such as creative rotation, budget reallocation, and bidding strategy adjustments to protect efficiency and maximize return on ad spend.
Dmytro Kyiashko is a Software Developer in Test with over 10 years of experience in IT, including more than 4 years in engineering team leadership and over 6 years of building engineering teams from scratch. His professional background includes conducting technical interviews, mentoring engineers, and designing quality assurance strategies for complex, data-intensive systems.
In recent years, Dmytro has specialized in testing and validating AI-based systems, with a strong focus on reliability, stability, and performance. His expertise is particularly relevant for companies implementing AI in advertising, analytics, and decision-support platforms, where predictive accuracy and timely intervention directly affect business outcomes.
Dmytro has also served as a member of expert juries, including UAtech Venture Night (Web Summit Vancouver), where he evaluated technology startups presented to international investors, experienced developers, and technical leaders. He is the author of a research paper dedicated to the challenges of testing multimodal systems based on AI agents and has received acknowledgements for reviewing academic work at international scientific conferences.
What to Expect
This workshop provides a practical and structured overview of how AI can be used to move from manual campaign monitoring to proactive, prediction-driven optimization. Participants will learn how AI models analyze large volumes of advertising data, identify hidden dependencies between performance metrics, and signal when campaigns require validation, refresh, or pause.
Rather than focusing on isolated metrics, the session demonstrates how AI evaluates performance holistically and supports decision-making before visible performance decline occurs.
Key Topics Include
AI-Based Detection of Campaign Fatigue
How machine learning models identify early signs of declining efficiency, audience saturation, and creative burnout before KPIs visibly drop.
AI-Guided Creative Rotation
How AI helps determine when and how to refresh creatives, rotate ads across segments, and avoid performance disruption.
Budget Reallocation with Predictive Models
How AI highlights inefficient spend, recommends redistribution, and helps prevent wasted advertising budgets.
Bidding Strategy Adjustments with AI Support
How AI-assisted analysis improves bid decisions by accounting for volatility, confidence levels, and metric interdependencies.
Automated Optimization Workflows and Guardrails
How closed-loop systems combine detection, recommendations, and safeguards while maintaining human oversight.
Dmytro will illustrate these concepts with applied cases from AI-driven advertising platforms, showing how proactive optimization improves control, efficiency, and scalability.
Date: November 3rd, 2023 Time: 12:00 (UTC-5) Location: Online (Access details will be provided to registered participants) Language: English
Register Now
Do not miss this opportunity to learn how AI can help you anticipate performance issues instead of reacting to them after the fact. Gain practical frameworks, real-world examples, and actionable insights to improve campaign efficiency and decision-making.
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