This post and article shared by Johannes Boshkow lead me to thinking about what data we measure and how we use it. Apple Orchard Marketing has an interesting post on the difference between reach and impressions on social platforms coming up. It highlights the importance of knowing not just what you are measuring, but also why. In marketing, we often rely on metrics like reach and impressions to gauge our campaigns' success. However, these numbers can be misleading if not properly understood. Reach refers to the unique number of people who see your content, while impressions count the total number of times your content is displayed, regardless of whether it is the same person multiple times or what they do as a result of seeing the post. Precise data can significantly impact outcomes, so ensuring that our marketing metrics are accurate and meaningful is crucial. It’s not just about having data; it's about having reliable data that we fully comprehend. This post talked about the use of HRV for women's health uses. If the data recorded isn't accurate then blindly following it would be a poor decision. So, let’s always strive for accuracy in our measurements and a deep understanding of what they signify. This way, we can make informed decisions that truly drive success. Follow Apple Orchard Marketing to make sure you don't miss our insightful posts or reach out if you have a marketing question. #marketing #digitalmarketing #analytics
Digital Health | Patient-Centricity | Healthcare Innovation </> Sr Business Development Director at Dawn Health - launching SaMD products for life science companies
You would think that the #wearables industry is mostly driven by sensor technology and the algorithms behind - what you can measure and how accurate it is. That is true to some extent. But data in itself is no useful commodity to most people. You can read in the article below how two of the most innovative wearables companies, WHOOP and ŌURA, are thinking along similar pathways. Both see women’s health as one of the key areas where data can be used to make data actionable to users, focusing around specific insights around menstrual cycles and pregnancy. And both are further using the data to find out more on what their #healthtech data brings at a population level. For example, Whoop had found that changes in heart variability during pregnancy might be able to predict delivery dates. And Oura and Clue recently announced they will also dive deeper into research around periods. Exciting space to watch!