#MidsizeWednesday: 7 New Rules of Marketing for Midsize Businesses

Patrick McFadden • August 21, 2013

Over the past few years I’ve had the good fortune to speak, listen, advise and consult with a lot of businesses. Through my experience I have come up with the seven new rules of marketing that I think every Midsize Business should know. Some are new, some are old but explained in a new way, and some debunk popular marketing myths.

1. Branding is a Trust Mark. Against popular belief, branding is not about names, logos, or advertising. It’s about an experience. An experience that leaves a trust mark on a prospect or customer. Many say the Internet (with its unlimited shelf-space for products and services) killed branding, that social media leveled the playing field. That’s a myth. More information and increased competition for attention makes the customer experience even more important.

2. Differentiate or Die.  That statement is so true. Either you separate from the pack or suffocate in it. Most businesses complain that price is the determining factor whether a prospects buys. I say, “Pricing only matters when customers and prospects can’t tell the difference between your products and services and a competitor’s.”

What if you don’t have any differences? Find some, create some, or develop some. Contact me for help pmcfaddenmarketing@gmail.com.

3. Right Direction is More Important. Strategy is everything. Let me repeat, “Strategy is everything.” Make sure you have a strategy for the areas of your midsize business where you want to see excellence. Wikipedia defines “strategy” as a long-term plan of action designed to achieve a particular goal. How you strategically position your Midsize Business and its products is everything. And yes, you have to execute.

4. Change Feelings. The ultimate goal of customer service is to change feelings, not the facts. Don’t build Midsize Businesses around stall, deny, begrudge and finally, to the few who persist on asking for refunds. The new marketing rules measures customer service on the basis of after the interaction, would the customer recommend you to a friend.

5. Communication is The Economy.  Communication is a powerful tool for Midsize Businesses that can make or break a product launch or an entire company. Communication is the key factor in determining:

  • whether a customer is retained,
  • whether the customer spends more time with you, and
  • whether you outsell the competition.

Communication (which in the end is what this digital era and media is all about) is not just a sector of the economy. Communication is the economy.

6. Tap Your Weak Ties. Your best new ideas, and a Midsize Businesses most breakthrough innovations, will come when you tap your weak ties by interacting with the disciplines you know less about, or the experts you rarely consult, or the people you associate with less frequently. By contrast, the surest way NOT to have a creative breakthrough is to rely on all the consultants and experts you already know, and all the disciplines you’re already familiar with.

7. Innovation is Not Invention.  Innovation isn’t necessarily coming up with a novel idea, but coming up with a product people can use. My rule of thumb is that you only have to do something 10% better or provide added value to be successful.

Bottom line, marketing is the key to your midsize business gaining market share, increasing profit margins, and growing revenues. Business is all about marketing.

Question: What are you going to do now that you know more than your competition?

By Patrick McFadden May 2, 2025
Everyone is scaling outputs. Almost no one is scaling judgment.
By Patrick McFadden May 2, 2025
Ask anyone in tech where AI is headed, and they’ll tell you: “The next leap is reasoning.” “AI needs judgment.” “We need assistants that think, not just answer.” They’re right. But while everyone’s talking about it, almost no one is actually shipping it. So we did. We built Thinking OS™ —a system that doesn’t just help AI answer questions… It helps AI think like a strategist. It helps AI decide like an operator. It helps teams and platforms scale judgment, n ot just generate output. The Theory Isn’t New. The Implementation Is. The idea of layering strategic thinking and judgment into AI isn’t new in theory. The problem is, no one’s been able to implement it effectively at scale. Let’s look at the current landscape. 1. Big Tech Has the Muscle—But Not the Mind OpenAI / ChatGPT ✅ Strength: Best-in-class language generation ❌ Limitation: No built-in judgment or reasoning. You must provide the structure. Otherwise, it follows instructions, not strategy. Google DeepMind / Gemini ✅ Known for advanced decision-making (e.g., AlphaGo) ❌ But only in structured environments like games—not messy, real-world business scenarios. Anthropic (Claude), Meta (LLaMA), Microsoft Copilot ✅ Great at answering questions and following commands ❌ But they’re assistants, not advisors. They won’t reprioritize. They won’t challenge your assumptions. They don’t ask: “Is this the right move?” These tools are powerful—but they don’t think for outcomes the way a strategist or operator would. 2. Who’s Actually Building the Thinking Layer™? This is where it gets interesting—and thin. Startups and Indie Builders Some small teams are quietly: Creating custom GPTs that mimic how experts reason Layering in business context, priorities, and tradeoffs Embedding decision logic so AI can guide, not just execute But these efforts are: Highly manual Difficult to scale Fragmented and experimental Enterprise Experiments A few companies (Salesforce, HubSpot, and others) are exploring more “judgment-aware” AI copilots. These systems can: Flag inconsistencies Recommend next actions Occasionally surface priorities based on internal logic But most of it is still: In early R&D Custom-coded Unproven beyond narrow use cases That’s Why Thinking OS™ Is Different Instead of waiting for a lab to crack it, we built a modular thinking system that installs like infrastructure. Thinking OS™: Captures how real experts reason Embeds judgment into layers AI can use Deploys into tools like ChatGPT or enterprise systems Helps teams think together, consistently, at scale It’s not another assistant. It’s the missing layer that turns outputs into outcomes. So… Is This a New Innovation? Yes—in practice. Everyone says AI needs judgment. But judgment isn’t an idea. It’s a system. It requires: Persistent memory Contextual awareness Tradeoff evaluation Value-based decisions Strategy that evolves with goals Thinking OS™ delivers that. And unlike the R&D experiments in Big Tech, it’s built for: Operators Consultants Platform founders Growth-stage teams that need to scale decision quality, not just content creation If Someone Told You They’ve Built a Thinking + Judgment Layer™… They’ve built something only a handful of people in the world are even attempting. Because this isn’t just AI that speaks fluently. It’s AI that reasons, reflects , and chooses. And in a world that’s drowning in tools, judgment becomes the differentiator. That’s the OS We Built Thinking OS™ is not a prompt pack. It’s not a dashboard. It’s not a glorified chatbot. It’s a decision architecture you can license, embed, or deploy— To help your team, your platform, or your clients think better at scale. We’ve moved past content. We’re building cognition. Let’s talk.
By Patrick McFadden May 2, 2025
In every era of innovation, there’s a silent bottleneck—something obvious in hindsight, but elusive until the moment it clicks. In today’s AI-driven world, that bottleneck is clear: AI has speed. It has scale. But it doesn’t have judgment . It doesn’t really think . What’s Actually Missing From AI? When experts talk about the “thinking and judgment layer” as the next leap for AI, they’re calling out a hard truth: Modern AI systems are powerful pattern machines. But they’re missing the human layer—the one that reasons, weighs tradeoffs, and makes strategic decisions in context. Let’s break that down: 1. The Thinking Layer = Reasoning with Purpose This layer doesn’t just process inputs— it structures logic. It’s the ability to: Ask the right questions before acting Break down complexity into solvable parts Adjust direction mid-course when reality changes Think beyond “what was asked” to uncover “what really matters” Today’s AI responds. But it rarely reflects. Unless told exactly what to do, it won’t work through problems the way a strategist or operator would. 2. The Judgment Layer = Decision-Making in the Gray Judgment is the ability to: Prioritize what matters most Choose between imperfect options Make decisions when there’s no clear answer Apply values, experience, and vision—not just data It’s why a founder might not pursue a lucrative deal. Why a marketer might ignore the click-through rate. Why a strategist knows when the timing isn’t right. AI doesn’t do this well. Not yet. Because judgment requires more than data—it requires discernment . Why This Is the Bottleneck Holding Back AI AI can write. It can summarize. It can automate. But it still can’t: Diagnose the real problem behind the question Evaluate tradeoffs like a founder or operator would Recommend a path based on context, constraints, and conviction AI today is still reactive. It follows instructions. But it doesn’t lead. It doesn’t guide. It doesn’t own the outcome. And for those building serious systems—whether you’re running a company, launching a platform, or leading a team—this is the wall you eventually hit. That’s Why We Built Thinking OS™ We stopped waiting for AI to learn judgment on its own. Instead, we created a system that embeds it—by design. Thinking OS™ is an installable decision layer that captures how top founders, strategists, and operators think… …and makes that thinking repeatable , scalable , and usable inside teams, tools, and platforms. It’s not a framework. It’s not a chatbot. It’s not another playbook. It’s the layer that knows how to: Think through complex decisions Apply judgment when rules don’t help Guide others —human or AI—toward strategic outcomes This Is the Missing Infrastructure Thinking OS™ isn’t just about better answers. It’s about better thinking—made operational. And that’s what’s been missing in AI, consulting, leadership development, and platform design. If you’re trying to scale expertise, install judgment, or move from tactical to strategic… You don’t need a faster AI. You need a thinking layer that knows what to do—and why. We built it. Let’s talk.
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