Conversion Rate Optimization for Amazon Video Ads Using Performance Data & AI

In this session, you will learn how to analyze the performance metrics of your Amazon Video Ads to continually iterate videos to maximize conversions. We will study the anatomy of the various types of video content throughout the Amazon Ads ecosystem, the specific insights that the performance data provides, and what changes should be implemented so that you can have the highest-performing video ads in your product category. We will also discuss various AI tools that can superpower this process and put you far ahead of the competition!

Learning Objectives:

1. First, we will review all of the types of performance data that Amazon makes available to sellers that can guide us in our conversion rate optimization journey for video content. We will discuss what each of these pieces of data tells us, and where the opportunities for improvement are with each piece of video content.
2. Second, we will discuss the various strategies for split testing and iterating your video content given these pieces of data and insights. We will look at a number of creative video examples for how to respond to each case, and how these strategies depend on variables such as long-tail keyword search intent, customer avatar, competitors, and more.
3. Finally, we will discuss how AI can be used to make this process more powerful and efficient end to end. We will review a variety of the latest AI tools and tactics that sellers can use to analyze their performance data, iterate their content, and drive more traffic with their video ads. As a bonus, we will also discuss the best methodologies for navigating Amazon’s guidelines for video content to ensure that you can quickly resolve any content rejections by Amazon.