In the AI Knowledge Tiers Report, you'll see your full subscriber list broken down into tiers A through I.
The tiers are broken out according to the number of pieces of topical interest data that we have associated with those subscribers. For example, tier B (5-10) shows that we have anywhere between 5 and 10 pieces of topical interest data on that number of subscribers listed. You'll also see that tier’s percentage of total open and clicks as well as unique open and clicks.
As the tiers progress, you'll start to see an upward trend. This indicates that the more we know about a subscriber, the more likely they are to engage with your emails because we are able to personalize them based off of their own behaviors and recommend the content they are truly interested in.
Where does the topical interest data come from?
As you can see in the Posts page of the dashboard, our AI assigns conceptual tags to each article that comes into our system. It scans each article and uses Natural Language Processing to determine topics and concepts related to the text of the article. So, one article about the stock market could have 3 tags associated with it - for example: Stock Market, Finance, Wall Street - and once a subscriber clicks on that article, we now associate those 3 topics with that person. Our AI Knowledge Tiers report shows lifetime data, however, our recommendation engine does evolve and caters more to the topics that were clicked most recently.