Executive Development Programme Ad Fraud: Data-Driven Leadership
-- ViewingNowThe Executive Development Programme in Ad Fraud: Data-Driven Leadership is a certificate course designed to equip professionals with the skills to combat ad fraud and lead data-driven marketing strategies. This program is crucial in an industry where ad fraud costs are projected to reach $50 billion by 2025.
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โข Unit 1: Introduction to Ad Fraud - Understanding ad fraud, its impact on digital advertising, and the importance of data-driven leadership in combating it. โข Unit 2: Types of Ad Fraud - Exploring various ad fraud techniques such as bot traffic, click fraud, impression fraud, and domain spoofing. โข Unit 3: Data Collection and Analysis - Learning methods for collecting and analyzing data to detect ad fraud, including data sources, data cleaning, and data visualization. โข Unit 4: Machine Learning for Ad Fraud Detection - Introducing machine learning techniques for identifying and preventing ad fraud, such as anomaly detection, supervised and unsupervised learning, and deep learning. โข Unit 5: Fraud Detection Tools and Platforms - Reviewing existing ad fraud detection tools and platforms, their features, and limitations. โข Unit 6: Ad Operations and Compliance - Discussing the role of ad operations in preventing ad fraud, including ad verification, brand safety, and inventory quality. โข Unit 7: Ad Fraud Impact on Marketing Metrics - Evaluating the impact of ad fraud on marketing metrics such as return on investment (ROI), cost per click (CPC), and cost per impression (CPM). โข Unit 8: Collaboration and Communication - Encouraging collaboration and communication between stakeholders, such as publishers, advertisers, and ad networks, for combating ad fraud. โข Unit 9: Legal and Regulatory Compliance - Exploring legal and regulatory issues related to ad fraud, including regulations, industry guidelines, and penalties for non-compliance. โข Unit 10: Continuous Improvement and Best Practices - Developing a culture of continuous improvement and adherence to best practices in ad fraud detection and prevention.
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