Why Audience Research Is the Foundation of Web3 Content Marketing
Joey Prebys
October 29, 2025
Reality Check

One of the first questions I ask any new project is: who do you want using your product? Who needs to know about it? 

Too often in Web3, the focus is on shipping—build the product, put out some content, hope for the best. But effective content marketing guides people through a specific journey: awareness, understanding, relevance, and adoption. And that journey looks completely different for a developer versus a TradFi investor versus a degen. Skip the audience work, and you end up shouting into the void with content that speaks to no one.

So, how do you actually figure out who your audiences are? It starts with a concept Web3 knows well: KYC.

KYC as Content Marketing Foundation

In Web3, KYC isn't just a compliance thing. It's a content marketing imperative. Know Your Customer, Know Your Audience. 

Before I was doing content marketing, I spent years doing actual KYC as an AML analyst and banker. That work taught me how to build detailed profiles, understand what motivates different people, and spot patterns in behavior. I'm not talking about collecting DOBs and home addresses. I'm talking about understanding demographics, occupation, career level, and pain points. The insights that actually help you tailor your messaging. Turns out, the KYC research skills are the same—I've just taken my internet sleuthing from compliance to content.

Why Web3 Audiences Are Uniquely Fragmented

I really discovered just how fragmented Web3 audiences are while working on content marketing for CoinDesk's Consensus conference. Consensus is crypto’s big tent event, with programming for developers, degens, creators, institutional investors, VCs, founders, startups, regulators, and more. This experience showed me just how wide and disparate the crypto audience really is—people with completely different backgrounds, knowledge levels, and goals, all in one place

So why is the Web3 audience so all over the place? Here's my take:

  • The technology is cutting-edge and complex, which means you have people with extreme technical depth working alongside complete novices.
  • It intersects multiple industries at once: finance, tech, creative and culture, gaming, and more. People come from wildly different professional backgrounds.
  • It's both infrastructure AND consumer-facing products. You're building the rails while simultaneously trying to get people to ride the train.
  • Regulatory uncertainty creates a split: some people approach Web3 as libertarian tech freedom, while others need institutional compliance and legal clarity to even participate.
  • The cultural evolution: Web3 grew out of cypherpunk and crypto-anarchist roots, but now it's trying to appeal to mainstream users and institutional adoption. The OGs sit in the same ecosystem as VCs looking for returns and brands trying to figure out their strategy.
  • It's speculative, so you've got people treating it purely as an investment, while others are focused on building and using the actual technology.
  • The pace of innovation is relentless, which constantly segments people based on how much they've kept up. What was cutting-edge six months ago is old news now.

All of this creates an audience landscape unlike anything in traditional tech or finance. And it's precisely why the "just create content and ship it" approach fails so spectacularly.

How Web3 Content Differs by Audience Type

I don't talk to developers the same way I talk to TradFi investors, the same way I talk to degens. And if you're using the same content for all three, you're wasting everyone's time.

Developers want technical accuracy and implementation details:

  • How your protocol actually works under the hood.
  • Architecture and technical specifications.
  • Security and scalability considerations.
  • They're reading your documentation, GitHub, and technical specs.
  • Content needs to be precise, detailed, and assume baseline technical knowledge.

TradFi investors need regulatory clarity and institutional legitimacy:

  • Business model and compliance framework.
  • Risk management approach.
  • Real-world use cases and stability.
  • They're not necessarily fluent in crypto-native terminology.
  • Content must emphasize transparency and regulatory awareness.

Degens want to know the alpha and the vibes:

  • What's new, what's next, what's the opportunity right now.
  • They speak in memes and move fast.
  • Content needs to be timely, culturally fluent, and get straight to the point about why this matters today.

This isn't just about tone or channel selection. It's about fundamentally different information needs, different levels of prior knowledge, and different decision-making criteria. And here's what makes Web3 especially tricky: you often need to reach all of these audiences simultaneously because they all play a role in your ecosystem's success.

The Real Cost of Skipping Audience Research in Web3

You can't Google what doesn't exist yet. So when you're creating foundational content about emerging tech, you're not just marketing to these audiences. You're educating them, defining the category for them, and shaping how they'll understand and talk about your product forever. Get the audience wrong, and you're not just creating ineffective marketing. You're literally building the wrong knowledge base for your ecosystem.

The Content Marketing + Product Marketing Convergence

In traditional tech, the lines are clear: product marketing defines what the product is, and content marketing promotes it. In Web3, those lines don't exist.

Your content shapes how people understand what your product even is. When you're building something new without an established category, your educational content becomes inseparable from your product positioning. The way you explain your protocol, the metaphors you use, the complexity level you choose—all of this defines the product in your audience's mind.

This is why audience research has to inform your product decisions, not just your messaging. When you understand who you're building for, you might realize:

  • Your documentation needs to exist at three different technical levels.
  • Your onboarding flow is alienating non-technical users.
  • The features you're prioritizing matter to developers, but mean nothing to your actual users.
  • You're solving problems your audience doesn't have while ignoring the ones they do.

In Web3, content marketing and product marketing go hand in hand. You can't build a product people understand if you don't know who those people are. And you can't market effectively if your content doesn't align with how your audience actually thinks about what you've built.

What Good Audience Research Actually Looks Like

For me, Consensus was like the final boss of crypto audience segmentation. So many different types of people, so many event offerings, all under one roof.

So what did I do? I broke down the audience into segments and performed extensive research on each one:

  • Who are they?
  • What's their job?
  • What are their hobbies?
  • Where do they hang out online?
  • What are their pain points?
  • What are their goals?

From there, I created detailed audience personas. These weren't just demographic profiles. They were frameworks for understanding how different people think, what motivates them, and what would actually get them to pay attention.

Then we used those personas to create tailored messaging and identify specific channels for each audience. An ad on a finance podcast for the TradFi audience. A mention in a dev newsletter for developers. Different messages, targeting each persona's specific pain points and goals. The objective wasn't just reach. It was resonance.

This kind of work takes time. It requires actual research, not assumptions. And it demands that you think strategically about not just what you want to say, but who needs to hear it and why they should care.

Most projects skip this step entirely. They create one message and blast it everywhere, hoping something sticks. And then they wonder why their content isn't working.

How to Start Audience Research for Web3

Here's what I didn't cover in this article: the full persona templates, the pain point mapping frameworks, how to operationalize this across channels, how to measure and iterate, and how to align your entire team around these insights. That work is deep, and it's ongoing.

But here's what you should take away: if you're creating Web3 content without knowing exactly who you're talking to, you're building on sand. The technology is too complex, the audiences are too fragmented, and the stakes are too high to guess.

Good audience research isn't a nice-to-have. It's the foundation of everything else you do. Your messaging, your channels, your product decisions, your positioning—all of it flows from understanding who you're building for and what they actually need.

Most projects don't have the time or expertise to do this level of research in-house. And honestly, it shouldn't be an afterthought that you try to squeeze in between product launches.

If you're ready to stop guessing and start building content that works, let's talk. At Distractive, we specialize in Web3 content marketing backed by serious audience research.

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