As a marketer of over 15 years its been clear that data has changed the way we work. It’s not just something analysts or IT departments deal with anymore. As a marketer, I use data every single day to fuel the content, emails, campaigns, and strategies I build for clients. It helps me figure out what’s working, what needs to shift, and where I can make the biggest impact. Whether I’m looking at website traffic, click-through rates, or behavior flows in HubSpot, that information shapes the decisions I make. Without it, I’d just be guessing, and guessing doesn’t cut it anymore.
With so many platforms out there, communicators are constantly adjusting to how people consume information. Social media, blogs, newsletters, video content, it’s all being measured. And those measurements tell us a lot. We can see which subject lines get opened, which content gets ignored, and how long someone stays on a page before bouncing. That kind of feedback loop is part of a bigger shift in how audiences engage with media, and communicators have to keep up if we want to stay relevant (Baran, 2022).
The catch is that just having access to dashboards and data reports doesn’t automatically make you better at your job. It takes training. Learning how to read that data, understand patterns, and tell a story from it is a skill. McQuail’s theory reinforces that mass communication is no longer just about sending messages, it’s a constant process of interpretation and adjustment in response to feedback (McQuail & Deuze, 2020). And in a digital landscape, that feedback often comes in the form of data. Communicators today need to be more than good writers or designers, we need to interpret digital behavior and respond in real time (Defanti & Arvidsson, 2019).
That also means being aware of how we use that data. Just because we can personalize content to a hyper-specific level doesn’t always mean we should. There’s a line between being helpful and being invasive—and good communicators know how to stay on the right side of it. Data is powerful, but it comes with responsibility. We’ve seen how misuse of audience data has led to trust issues with major platforms and advertisers alike (White & Boatwright, 2020).
If you’re in the communication world and still avoiding analytics tools, now’s the time to lean in. You don’t need to be a numbers person to use data effectively. You just need to be curious, willing to learn, and open to using what the numbers are telling you to refine your message. At the end of the day, it’s not about getting everything perfect—it’s about listening, learning, and getting a little bit better every time.
References (APA):
Baran, S. J. (2022). Introduction to mass communication: 2024 release. McGraw-Hill Higher Education.
Defanti, A., & Arvidsson, A. (2019). Introduction to digital media. Wiley.
McQuail, D., & Deuze, M. (2020). McQuail’s media and mass communication theory. SAGE Publishing.
seventyfourimages. (2025). Black woman presenting plan at meeting [Stock photo]. Envato Elements. https://elements.envato.com/black-woman-presenting-plan-at-meeting-8CTUK4J
White, C. L., & Boatwright, B. (2020). Social media ethics in the data economy: Issues of social responsibility for using Facebook for public relations. Public Relations Review, 46(3), 101980. https://doi.org/10.1016/j.pubrev.2020.101980