From "Broader Reach" to "Be the Answer": How a Semester Reshaped My Understanding of Digital Marketing

Guanying Wang
Apr 22
5 min read

When I wrote my first blog post in January, I defined digital marketing as "an opportunity to connect with consumers through online platforms in ways that are broader in reach and more engaging." I also said I hoped to "systematically understand how different digital marketing channels work together effectively."

Looking back now, that definition was a little too simple. Like describing a city by saying it has buildings and streets. Accurate, but not enough to capture what a city actually is.

Three months have passed. I completed four substantial writing projects, and through them, I've arrived at a much deeper understanding.

What I thought the course would teach me

My first post was honest about my starting point. I had run social media accounts in China, built a small following, and created content I was proud of — but I was always going on instinct. I came into this course looking for a framework that could replace intuition with method. I wanted to understand channel strategy, content structure, and data-driven decision making.

What I didn't anticipate was that the frameworks I learned would completely change how I see marketing — not just how I do it.

The MACE analysis: learning to think in systems

My Airbnb MACE analysis was the first time I had to look at a brand's entire digital ecosystem in one sitting and make sense of it as a system. What truly surprised me wasn't Airbnb's strengths, it was the asymmetry I found in their retention model.

Hosts face real switching costs: accumulated reviews, rankings, and income dependency. Guests face almost none.

That single observation that Airbnb's long-term stability depends more on host loyalty than guest loyalty is completely changed how I think about marketplace businesses.

Before that assignment, I thought about marketing primarily from the brand-to-consumer direction. Afterward, I started thinking about the architecture underneath: who needs whom more, and how that shapes every content and retention decision. That was a fundamentally different way of thinking from what I came in with.

The platform content audit: recognizing that channels are not interchangeable

When I audited Airbnb's presence across Instagram, X, Reddit, and TikTok, the most valuable insight didn't come from any single platform, it came from understanding the difference in roles across platforms. Instagram builds aspiration. X handles brand updates and announcements. Reddit surfaces trust signals, often in the form of complaints, which are themselves a meaningful data point. TikTok expands reach to new audiences.

In my first post, I wrote that I wanted to understand "how different digital marketing channels work together effectively." I thought that meant knowing which channels to use.

What I actually learned is that every channel has a specific job, and a strategist's work is to assign those jobs clearly, and to notice when a brand is doing the wrong job on the wrong platform.

Airbnb builds aspiration better than almost anyone. But it under-invests in reassurance, which is the mid-funnel content that converts people who are interested but hesitant. That gap isn't visible if you look at one platform at a time. It only appears when you step back and view the whole system. That is exactly the skill I was missing in January.

The Meta ads campaign: where theory meets friction

The NACD campaign was the most practically valuable thing I did this semester. Opening Meta Ads Manager for the first time and trying to target "corporate board directors" quickly showed me the gap between a strategic audience definition and the actual tools available to reach them.

LinkedIn lets you target by job title. Meta doesn't. So we had to approximate — using interest signals like corporate governance, financial markets, and leadership development to triangulate our way toward an audience we couldn't select directly. That process taught me something no case study could: translating a marketing strategy into actual platform mechanics is a real craft, and that craft requires both creativity and deep platform knowledge.

I also internalized something about budget that I had only understood theoretically before: every dollar you spend is a hypothesis. Our 60/40 split between active directors and aspiring candidates was a bet. We had reasons for it, but without A/B testing, we couldn't know if it was right. At that level, marketing is a series of educated guesses made quickly, with incomplete information. That was very different from how I had imagined it.

The keyword strategy: where the course ended, and where search is heading

My last major post — on SEO, SEM, and AEO/GEO — felt like the course showing me what's coming next.

The shift from "visibility on search engines" to "being cited by AI as a trusted source" is not a small adjustment. It requires rethinking what content is even for. SEO content is written to rank. AEO content is written to be extracted — structured, specific, answerable at the passage level. These are different writing tasks, and they reflect different assumptions about how people find information.

In my first post, I wrote that I wanted to learn "how to use data to evaluate marketing performance rather than relying solely on intuition." I thought that meant learning to read dashboards. I now understand it means knowing what to measure — because the metrics themselves change with the times. When I started this course, AI Share of Voice and citation rates were not standard marketing KPIs. By the end, they had become central to my campaign strategy.

What actually changed

In January, I thought digital marketing was primarily a creative discipline that used data for validation.

Now I think it is primarily a decision-making discipline that uses creativity as one of its tools. And data not just for validation, but for generating the next question.

I also came in thinking that channels were roughly interchangeable delivery mechanisms. I now believe channel selection is one of the most consequential strategic decisions a marketer makes, because a channel shapes not just who you reach, but what role your content plays in their decision process.

One thing hasn't changed: I still believe that authenticity and a genuine point of view are the most durable foundation for any marketing strategy. Every framework we studied works better when there is something real underneath it. That belief is the same. But now I can actually explain why, and I can point to the structural reasons it's true. That is a different kind of knowing.

What I'm working toward

This blog started as a course assignment. I hope it becomes something more lasting. The Founder News project I mentioned in January is still in development, and understanding how search, content, and AI citation actually work together has given me a much clearer picture of how to build its distribution from the start, rather than as an afterthought.

The goal I set for myself in my first post was to be able to explain, by the end of the course, why I made certain decisions and whether they were effective. I think I can do that now. That feels like the right place to end.

Thank you for reading this blog. If you've made it this far, you're either very patient or genuinely interested in marketing. Either way, I appreciate you.