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What Is Digital Marketing in Simple Words?

What Is Digital Marketing in Simple Words? Someone asked me this the other day and I realized most explanations of digital marketing make it sound way more complicated than it actually is. People throw around terms like SEO, PPC, funnels, conversion rates, and content strategy, and if you’re new to this, it can feel like everyone’s speaking a language you never signed up to learn. So let me try to explain it the way I wish someone had explained it to me at the start, without the jargon getting in the way. At the simplest level, digital marketing is just telling people about something you’re selling, using the internet instead of older methods like billboards, TV ads, or newspaper flyers. That’s really it. Everything else is detail. A hundred years ago, if you owned a bakery, you might put a sign in your window or hand out flyers on the street. Digital marketing is the modern version of that same instinct, just using different tools. Instead of a sign in your window, you might use a Facebook post. Instead of handing out flyers, you might send an email. The goal has never changed, get the right people to notice you, care about what you offer, and eventually buy it. Where it gets a little more interesting is that the internet gave marketers something they never had before, the ability to actually see what’s working. In the old days, if you put up a billboard, you had no real way of knowing how many people saw it or how many of them walked into your store because of it. You just kind of hoped it worked. Online, almost everything can be measured. You can see exactly how many people saw your ad, how many clicked on it, and how many of those people actually bought something. That measurability is honestly the whole reason digital marketing exploded the way it did. It turned marketing from a guessing game into something you could test, tweak, and improve over time. So if you strip away the buzzwords, digital marketing really breaks down into a few simple ideas stacked on top of each other. The first idea is getting found. Before someone can buy from you, they need to know you exist. This is where things like search engines and social media come in. When people talk about SEO, which stands for search engine optimization, they just mean making sure your website shows up when someone searches for something related to what you offer. When people talk about social media marketing, they mean showing up in someone’s feed in a way that catches their attention. Different channels, same basic goal, be visible to the people who might actually want what you have. The second idea is building trust. Getting found isn’t enough on its own. Once someone notices you, they need a reason to believe you’re worth their time or money. This is where content comes in, things like blog posts, videos, emails, or social posts that aren’t directly selling anything, they’re just being useful or interesting enough that people start to trust the person or brand behind them. Think of it like getting to know someone before you’d ever agree to do business with them. Nobody buys from a stranger they don’t trust at all, so this step matters more than people expect. The third idea is nudging someone toward a decision. Once someone knows you exist and trusts you at least a little, digital marketing is about giving them a clear, low friction way to actually take the next step, whether that’s buying a product, signing up for something, or booking a call. This is where ads, landing pages, and emails with a clear offer come into play. It’s less about tricking someone into buying and more about removing the confusion and hesitation that stops people from doing something they were already halfway convinced to do. And the fourth idea, the one people talk about the least but that actually matters the most long term, is keeping people around after they’ve bought something once. It’s much cheaper and easier to sell something again to someone who already trusts you than to convince a brand new stranger from scratch. This is where things like email newsletters, loyalty programs, or just genuinely good customer experience come in. A lot of businesses spend all their energy chasing new customers and completely ignore the people who already said yes once, which is honestly one of the most common mistakes I see. If you want the simplest possible version, digital marketing is get noticed, build trust, make it easy to say yes, and keep people around afterward. Every tool, platform, and strategy you’ll ever hear about is just a specific way of doing one of those four things. SEO and social media help with getting noticed. Blogs, videos, and email content help with building trust. Ads and landing pages help with making it easy to say yes. Email marketing and loyalty programs help with keeping people around. Once you see it this way, the field stops feeling like an endless list of tools you need to master and starts feeling like a handful of human instincts, get seen, be trustworthy, make it easy, and don’t forget people once they’ve said yes, applied through whatever tools happen to exist at the time. The tools will keep changing. That underlying logic really hasn’t, and probably won’t anytime soon.

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Is AI Destroying the Digital Products Business?

Is AI Destroying the Digital Products Business? I get this question a lot from people who sell ebooks, courses, templates, and other digital products, and I understand why it comes up with a bit of panic in it. If AI can generate a course outline in ten seconds or spit out a template library in an afternoon, why would anyone pay for what you’re selling. It’s a fair worry. But after watching this space closely, I don’t think the honest answer is “AI is destroying it.” I think the honest answer is “AI is destroying the laziest version of it,” and that’s a very different thing. Let me explain what I mean. For years, a certain corner of the digital products world ran on a simple formula. Take something mildly useful, package it as a PDF or a template, slap a price tag on it, and sell it through a landing page with some urgency language and a countdown timer. That formula worked because creating the product itself took real effort and most buyers couldn’t easily make it themselves. That barrier is gone now. If your entire value proposition was “I did the work of assembling this information so you don’t have to,” AI just removed the reason anyone needs you to do that. A five dollar budget template, a generic social media caption pack, a basic notion planner, these are things anyone can now generate themselves in minutes. That part of the market is genuinely shrinking, and no amount of better marketing is going to save it long term. But here’s where the panic gets misplaced. Not all digital products were ever really about the content itself. Some were about something AI still can’t replicate, and understanding that difference is the whole game right now. The first thing AI struggles to replace is earned trust. When someone buys a course from a person they’ve followed for two years, they’re not really buying information, they’re buying a shortcut through someone else’s hard won experience and the confidence that this particular person’s approach actually works. That kind of trust takes real time and real credibility to build, and it doesn’t transfer just because a chatbot can explain the same concept. People still want to learn from someone who’s actually done the thing, made the mistakes, and come out the other side with scars to show for it. The second thing is judgment that’s specific to a messy situation. General information is now free everywhere. But “here’s exactly what to do given your particular business, your particular numbers, your particular constraints” is still genuinely hard to get from a generic AI tool without a lot of skilled prompting most people don’t know how to do. A product that helps someone apply a framework to their actual weird situation, not just explains the framework, holds its value. The third thing is community and accountability. A lot of the most resilient digital products right now aren’t really products at all in the old sense, they’re structured access to a group of people working on the same problem together, with someone experienced steering the ship. AI can give you information. It can’t sit in a group chat and notice that you’ve stalled out for three weeks and nudge you back into motion, at least not in a way that feels the same as a real person doing it. So if you’re building or selling in this space, I think the smart move isn’t to fight AI or pretend it doesn’t threaten anything. It’s to get honest about which category your product actually falls into. If it’s mostly information that’s freely available elsewhere, repackaged, that product needs to evolve or it’s going to keep losing ground. If it’s built around your specific experience, your specific results, or a real community, you’re in a stronger position than the panic suggests, and you should probably be leaning into that harder rather than worrying about the wrong threat. There’s also a quieter shift happening that I think gets less attention than it deserves. Buyers are getting more discerning, not less willing to spend. When information was scarce, people paid for access to it. Now that information is abundant, people are increasingly paying for curation, taste, and a trusted voice to tell them what actually matters out of the flood. That’s a real shift in what “value” means in this space, and creators who understand it are adjusting their offers accordingly, moving away from “here’s a pile of information” and toward “here’s exactly what you need and here’s why.” I’d also gently push back on the framing that this is purely a threat and nothing else. AI has made it dramatically easier for a solo creator to actually build a polished product. Someone with real expertise but no design skills can now put together something that looks professional. Someone who’s slow at writing can move through a first draft faster and spend more time on the parts that actually require their judgment. The tool cuts both ways. It removes the floor for low effort products, but it raises the ceiling for what one thoughtful, experienced person can build on their own. So no, I don’t think AI is destroying the digital products business. I think it’s doing what every major shift in a market eventually does, exposing which parts of the business were ever really adding value in the first place. The stuff that was thin gets thinner and eventually disappears. The stuff built on real trust, real specificity, and real human connection is actually in a decent position, as long as the person behind it is willing to be honest about which one they’re building.    

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How Do I Learn Marketing?

How Do I Learn Marketing? People ask me this a lot, usually in some version of “where do I even start.” I get why it feels overwhelming. Marketing isn’t one subject, it’s a pile of overlapping disciplines wearing a trench coat, pretending to be one job. Copywriting, data analysis, psychology, design sense, paid ads, SEO, brand strategy, social media, email, it all gets lumped under the same title. So when someone tells you to “just learn marketing,” it’s a bit like telling someone to “just learn business.” Technically true, practically useless. Here’s how I’d actually approach it if I were starting over. Start with the one question that sits underneath everything in marketing: why does a person choose to buy one thing over another. That’s it. That’s the whole field, dressed up in a hundred different outfits. Every tactic, every channel, every campaign is just a different attempt to answer that question for a specific group of people in a specific moment. If you understand that marketing is fundamentally about human decision making, the rest of the subject stops feeling like a random grab bag of skills and starts feeling like one connected idea with different tools attached to it. So before you touch a single tool or platform, spend time actually studying how people make decisions. Read about consumer psychology. Notice your own buying decisions and ask yourself honestly what actually convinced you, not what you’d say if someone asked you politely. Most people think they’re rational shoppers driven by features and price, and most people are wrong about that when you look closely at their own behavior. Once you start noticing this in yourself, you start noticing it everywhere, and that’s the real foundation everything else gets built on. From there, I’d pick one channel and go deep instead of skimming ten channels shallowly. This is the part people get wrong constantly. They try to learn SEO, paid ads, email marketing, social media, and content strategy all at once, and they end up with a thin layer of knowledge in everything and real skill in nothing. Pick one. If you like writing, start with content and email. If you like numbers and testing, start with paid ads and analytics. If you like people and conversation, start with social media and community building. Get genuinely good at one thing before you spread out. Depth first, breadth later. Nobody hires someone who’s vaguely aware of everything, they hire someone who can actually do something well. While you’re going deep on that one channel, get your hands dirty immediately. Don’t wait until you feel ready, because you will never feel ready, that feeling doesn’t arrive on its own. Start a small project, even a fake one. Pick a business you admire and write a week of email copy for them as practice. Build a mock social media calendar for a local coffee shop. Run a tiny paid ad campaign for five dollars a day promoting your own blog post or a friend’s small business. The point isn’t to make something perfect, it’s to make something real enough that you run into actual problems, because that’s where the learning happens. Reading about how ad targeting works teaches you the theory. Watching your own ten dollar campaign flop teaches you the thing that actually sticks. Next, get comfortable with numbers earlier than feels natural. A lot of people drawn to marketing are creative types who think of numbers as someone else’s job. That mindset will genuinely hold you back. You don’t need to become a data scientist, but you do need to be able to look at a campaign’s results and understand what happened and why. Learn the basics of how to read conversion rates, click through rates, cost per acquisition, and return on ad spend. These aren’t scary once you sit with them for an afternoon, and being the person on the team who can explain both the creative side and the numbers side makes you dramatically more valuable than someone who can only do one. Now, about AI tools, because you can’t really talk about learning marketing today without addressing it directly. Learn to use them well, early, and honestly. Not as a replacement for your own thinking, but as a way to move faster through the boring parts so you can spend more time on the parts that actually require judgment. Use them to draft, to brainstorm, to analyze data faster. Then develop your own eye for when the output is actually good versus when it’s confidently mediocre. That skill, knowing the difference, is quickly becoming one of the most valuable things a marketer can offer. Find one or two people further along than you and pay attention to how they think, not just what they post. Podcasts and newsletters from working marketers, not gurus selling a course, tend to be more useful than formal certifications. Certifications can help you learn structure and vocabulary, and there’s nothing wrong with getting one if it fits your learning style, but they rarely teach you the instinct part of the job, the part where you just know something feels off about a campaign before you can fully explain why. Last thing. Give yourself permission to be bad at this for a while. Marketing rewards people who’ve made a lot of small mistakes on low stakes projects before they’re asked to make decisions on high stakes ones. Every campaign that flops teaches you something a textbook can’t. Start small, stay curious about why things work the way they do, and let the depth come from actually doing the work, not from reading about doing the work.       

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