The purpose of this case study will be to examine the ranking, traffic, sales, and data potential of automated YouTube video creation using Amazon product feeds. Tools WordAI Micro Site Masters Zapier Sezion Flow of Data This might help make the rest of this a little easier to digest. Amazon RSS + Product API + WordAI > My RSS > Zapier > Sezion > YouTube ...........................................................................................................^>Sezion Web Hook>Micro Site Masters The Process Product Information from various Amazon RSS feeds is scraped. Only products that have a defined brand and model in the Amazon Product API will be used. The brand and model will be used to create video titles and track keywords. Brand + Model + Review will be the video title on YouTube and the keyword being tracked. The Amazon RSS data is combined with additional data from the Amazon Product API to create my own RSS feed. I point Zapier to my RSS feed. Zapier uses my RSS feed data to propagate a video template on Sezion. Zapier (an app much like IFTTT) periodically checks my RSS feed for new items. When a new item is detected in my RSS feed Zapier tells Sezion to make a new video. In the YouTube video description there is a link to my website. My website URL is shortened with bit.ly through the bit.ly API. There’s also some content added to the YouTube video description. The content comes from a product description and set of features pulled from the Amazon Product API. This content is then made unique and human readable through the WordAI API. My website automatically generates pages based on information from the Amazon Product API. The pages also have the Amazon customer reviews iframe that is standard issue now as pulling real customer reviews from the API is no longer possible. After the video is created, Sezion performs a callback as defined by the web hook in the video template settings. This callback feeds my script the video title and YouTube video ID. Micro Site Masters API is then used to automatically track the new video using the data from the Sezion callback. The YouTube video URL is tracked with the keyword: Brand + Model + Review. Why Buffer? I am using my website as a buffer rather than direct linking to Amazon from the YouTube video description. Posting affiliate links on YouTube is somewhat of a gray area both in terms of YouTube Policy and Amazon policy. It also opens up other elements of monetization, optimization and control. Yes, many people spam YouTube with Amazon links but I feel (a tiny bit) safer with a buffer site. Objectives Collect Data: I think that the data will be the prize in this case study. This process amounts to an automated parasite rank checker with a revenue stream built in. The Amazon product base is ridiculously huge and an excellent place to discover weak and emerging targets. Test Scaling: At this point I’m unfamiliar with the limitations I’m about to run into. This case study will be a chance to learn the ropes and see how far I can push things. Earn Commission: Making a few sales wouldn’t hurt. In my estimation it’s an almost certain byproduct of saturating keywords of commercial intent. Timeline I’m going to shoot for about 500 automated videos spread across multiple new PVA accounts over the course of approximately 2 weeks. Videos will be dripped out slowly, about 2 per hour. After the original run the results will be analyzed in order to make any necessary adjustments and assess the effectiveness of the campaign. Tracking I will be using Google Analytics to track traffic on my website and a unique ID in Amazon to track sales. Number of videos, video views, likes, dislikes and flagged videos will also be tracked on YouTube manually (Why automate checking stats, it’s the most fun part!) Micro Site Masters will be used for rank tracking. All ranking videos will be exported and a list of targets for additional SEO projects will be created. Because I used the bit.ly API I will also have access to bit.ly stats for tracking clicks from YouTube videos to my site and clicks from my site to Amazon. This will allow me to loosely track CTR for individual products by comparing the number of clicks to my site to the number of clicks to Amazon for each product, although this data will be imperfect due to people clicking links more than once. Sponsors This case study is being sponsored by WordAI and Micro Site Masters. Big thanks to @cardine and @megodon for hooking me up. This project couldn’t have been 100% automated with unique, human readable content without these two services. Both offer powerful APIs that are easy to use and perfect for any automation project.