Great question! It’s similar in that we extract significant phrases and measure their frequency. Our differences: • We combine similar significant phrases toge

Great question! It’s similar in that we extract significant phrases and measure their frequency. Our differences: • We combine similar significant phrases together. I.e. cancel subscription and end services would be clustered together. • We track and display their distribution over time not just their total frequency. i.e. is it trending? Is the current downward trend significant? • We ‘learn’ from each company the topics that interest them by both manually allowing them to subscribe to topics or mark them irrelevant as well as by automatically tracking click through rates and time spent. As for the internal audience vs. external audience, we focus on the questions that are important to a product or operations team: how to reduce churn, feature requests, sentiment (what improves customer satisfaction) which is different from information valuable for consumers.