Content analytics has long leaned heavily on quantitative methods—page views, click-through rates, bounce rates, conversions—to give analysts insight into the minds of content consumers. These numbers do a good job of telling us what happened; however, they’re rarely effective at telling us why. Why did visitors abandon that page halfway through? Why did an A/B test fail to yield significant results? Why did one article spark a viral conversation while another had no engagement whatsoever?