Executive Development Programme in Scaling Data-Driven Advertising
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⢠Data-Driven Advertising Fundamentals: Understanding the basics of data-driven advertising, including data collection, segmentation, and targeting.
⢠Scaling Data-Driven Advertising: Techniques and strategies for scaling data-driven advertising campaigns, including automation, machine learning, and cross-platform optimization.
⢠Data Analytics for Advertising: Utilizing data analytics tools to measure and analyze the effectiveness of advertising campaigns, and using insights to inform future strategies.
⢠Data Privacy and Security: Ensuring compliance with data privacy regulations, and implementing best practices for data security in advertising.
⢠Advanced Targeting Strategies: Exploring advanced targeting options, such as lookalike audiences, contextual targeting, and predictive analytics.
⢠Cross-Channel Advertising: Coordinating advertising efforts across multiple channels and platforms to create a cohesive and effective marketing strategy.
⢠attribution modeling: Understanding and implementing attribution models to accurately measure the impact of advertising campaigns on business outcomes.
⢠Performance optimization: Techniques to optimize advertising performance and improve return on investment (ROI) through continuous testing, experimentation, and iteration.
⢠Strategic Planning for Scaling: Developing a strategic plan for scaling data-driven advertising efforts, including setting goals, identifying key performance indicators (KPIs), and allocating resources.
Note: The above units are just a suggestion, the actual units and the order can change based on the organization's need and the audience's prior knowledge.
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