Publishers are under great pressure to deliver quality content for readers and favorable experiences for partners and advertisers. You know your unstructured data holds the answers, and that good data structure and website taxonomy strategies can help you match tags across categories and find simple ways to refresh page content. This will help to boost engagement, but knowing how to structure data for analysis requires a lot of effort and resources.
To classify websites appropriately, you need to create a research taxonomy that will help you with content mapping and content tagging. The process of building a specialized taxonomy — for example, a food taxonomy for a cooking and recipe website — requires a great deal of effort.
You probably have some fantastic data from multiple sources that will help you with content mapping so that you can see what topics are most popular with your readers and make better decisions about how to present that material, but pulling the data into a unified structure and tagging it can be a cumbersome task.
Understand the fine-grain connections between topics and interests across your user-base, or grasp at a high level the topics that drive the best ROI from advertising.
“We are incredibly impressed with what eContext have achieved and can see multiple potential applications of this at different levels of our business.”
“eContext enables us to offer brands and agencies insights about our panel members, including highly accurate and granular analysis of the topics, products, and categories they browse, read, and engage with.”
“Wow — eContext is like named-entity recognition on steroids! In my research, I’ve worked with long-form text for years, including news, surveys, and conversational data, but I’ve never seen it structured and annotated so effectively before. Your algorithms are incredible.”