How to Use Reviews, Testimonials and Unsolicited Feedback to Create Your Marketing Message Strategy

Patrick McFadden • September 25, 2020

Online reviews, testimonials, unsolicited feedback or any 3rd party proof must be a important part of creating your marketing message strategy these days. The insight gain from any 3rd party proof provides you with a direction for creating a powerful marketing message strategy.

What’s often overlooked by small business owners in the gathering process of 3rd party proof is the actual words and phrases used by a client. In my experience a good review, testimonial, case study, blurb, or positive unsolicited feedback often implies that this is an ideal customer for your business. They had the right problem, you solved it with the right approach, and they had a great experience.

Here’s the point – if you want to attract more ideal clients like the ones giving you great feedback then you should pay very close attention to how they talk about your service – in particular, the words and phrases that show up repeatedly.

There’s money making and revenue generating insights in those words and phrases as your best customers are telling you what it is that you do that solves the real problem they have.

Home Service Contractor Marketing Message Example

Let’s say you own a tree service business. Your potential customers will automatically assume that you know how to take down trees. But that doesn’t really address the problem the potential customer has.

For most homeowners, their biggest problem associated with a home service contractor is about something beyond the basic service the business provides. Homeowners hate having to wait around for their service window. When they hire someone to handle their tree removal, the team leaves tread or wheel marks and stump grindings in the yard.

These are the real problems your clients have. So your marketing message is not, “We know how to remove trees” — of course you do! Instead, it’s “We never damage your yard and always clean up when we’re done.”

Professional Service Marketing Message Example

Let’s say you’re a managing partner of a law firm. Your potential clients will automatically assume that you know how to provide legal advice and navigate legal requirements. But that doesn’t really address the problem a potential client has.

For most clients, their biggest problem associated with an attorney is about something beyond the legal service they provide. Clients hate when attorneys do not return phone calls or emails in a timely manner. When attorneys make them feel bad about asking questions or not explaining things in layman’s terms. These are the real problems your clients have.

So your marketing message is not, “We know how to practice business law” or ” We have the knowledge and experience to help” – of course, you do! Instead, it’s “We return your calls, every time.” Or, “We welcome all questions and always make legal terminology easy to understand.”

For these two businesses and so many others that I’ve worked with over the years, reviews, testimonials, case studies, blurbs, or positive unsolicited feedback is a strategic marketing asset to help attract even more ideal clients as much as a vehicle for service verification.

The Process of 3rd Party Proof Research For Marketing Message Strategy

Turn to your case study interviews, past emails with positive unsolicited feedback, LinkedIn recommendations, and reviews on Google or any industry-specific review sites and start carefully reading. (Negative 3rd party feedback can give you a lot of insight as well, but for now, that’s not what we are looking for.)

As you read the 3rd party proof start noticing words, phrases, themes, and patterns that are repeated. This is your client explaining the real problems your firm solves for them, the things you do that others don’t, what they value most from purchasing your services, these are the words, phrases, and themes you need to guide your marketing message strategy right now.

Other Benefits of 3rd Party Proo f

Using positive feedback to develop a marketing message strategy – one that offers precisely what your ideal clients value is how you turn 3rd party proof into a powerful marketing message. But, you can also often find a handful of recurring themes that make great expert article topics, FAQs,  emails subject lines, and ad copy for your educational presentations or Google Ads.

 

It’s all about using the words and phrases of your ideal clients to attract more of the same.


Contact your marketing consultant at Indispensable Marketing

If you’re a small service based business that needs help with developing a powerful marketing message and showing up on the first page of search results on Google, Bing or Yahoo at Indispensable Marketing we can help. We offer marketing strategy consulting, marketing audits, monthly marketing packages, consultations, exploratory calls or monthly local SEO services. Contact us for more information.

 

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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