This podcast episode explores the increasingly important role of AI in media planning. While AI is not a magic solution, it can revolutionize the advertising industry when used correctly.
The discussion centers around an article from Bionic Advertising Systems, “How to Train Your Media Planning AI the Right Way.”
Key Takeaways
Key takeaways from the podcast include:
📊 Data is Crucial but Quality Matters: Just like a healthy diet fuels a marathon runner, high-quality data is essential for training AI. The emphasis is on clean, structured data that the AI can effectively learn from.
🔗 The Importance of Unique Identifiers: Identifiers provide a common language for the AI, ensuring consistency across campaigns and platforms. Placement IDs, campaign IDs, and creative IDs are highlighted as essential. Without them, analysis can be skewed as the AI might misinterpret data from different platforms as separate campaigns.
🎯 Defining Success with KPIs: Key Performance Indicators (KPIs) provide context for the AI, outlining what success looks like for a specific campaign. Whether the goal is reach, clicks, leads, or sales, defining the relevant KPIs helps the AI understand and prioritize the brand’s marketing objectives.
🚧 Building a Data Pipeline: A robust data pipeline is crucial for delivering data to the AI in a usable format. This involves data formatting (translating data into the AI’s language) and choosing between batch updates (periodic snapshots) and real-time data flows (continuous updates).
🏷️ The Power of Custom Tags: Custom tags act as personalized labels, adding context to data points beyond standard metrics. For example, a travel company could use tags to analyze ad performance for specific destination types.
🤖 AI as a Tool for Enhancement: The hosts stress that AI isn’t about replacing human expertise but empowering media planners with advanced tools and insights. AI can analyze vast amounts of data, identify patterns, and run multiple scenarios to optimize campaigns and achieve better ROI.
The episode concludes by encouraging you to embrace AI and data-driven approaches. The key message is to start experimenting, leverage available resources, and stay curious as the landscape of advertising continues to evolve.
AI Tools Used
Although this podcast was based on a human written article, the podcast and video were generated by AI and tweaked by humans.
The AI tools used to create this podcast episode include:
- NotebookLM – to create the podcast audio using its Audio Overview feature and the key takeaways in this blog post.
- ChatGPT – to create images of the podcast hosts.
- Camtasia – to create the video with waveforms and burned in captions.
- Wistia – to generate the captions and chapters and to host the video.