Segmenting the important voices in healthcare

Healthcare Stakeholder Segmentation

In any conversation, but especially online, it’s critical to know and understand who’s speaking—and for us, their specific role in healthcare—to extract meaningful and actionable insights and intelligence. With this knowledge, conversations can be contextualized and weight and authority can be attributed with confidence to what is being said.

We developed our Healthcare Stakeholder Segmentation to identify and categorize the people behind the conversations. Drawing on available public data from Twitter account bios, our machine learning models and algorithms combine with human evaluation and quality control to automatically categorize the top influencers of any given healthcare topic.

The power of our Healthcare Stakeholder Segmentation is clearly evident when you need to quickly uncover and isolate healthcare topics segmented by stakeholders. Analyze the data of one or more healthcare stakeholders at the same time in a high-level overview, or compare and contrast one stakeholder with another (e.g. doctors and patients) and assess their sentiments, trending words, etc.

Our main goal in building this functionality is to provide you with an easy way to quickly tune in, eliminate the noise, and really listen to specific stakeholder voices in healthcare. Often, the people we need to listen to cannot be heard above the other louder voices in a particular topic. Our stakeholder segmentation identifies who they are and elevates those quieter voices to help you hear what they are saying.