『From Operator to Owner: The Marketing Agency Blueprint for Freedom and Scale』のカバーアート

From Operator to Owner: The Marketing Agency Blueprint for Freedom and Scale

From Operator to Owner: The Marketing Agency Blueprint for Freedom and Scale

著者： Jason Swenk
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Smart Agency Masterclass is the podcast for established digital marketing agency owners who want to stop being the bottleneck in their own business. Most agency founders built something profitable — and accidentally built themselves a job they can't leave. Each week, Jason Swenk interviews agency founders, operators, and industry leaders on the decisions that separate agencies that scale from agencies that stall. Not tactics. Not motivation. Structure, leadership, and the real conversations about what it takes to build an agency that grows without needing you in every room. 950+ episodes. 10M+ downloads. Listeners in 50+ countries. If you run an agency and you want margin, leverage, and a business you could actually sell someday, this is the show.Jason Swenk, LLC マネジメント・リーダーシップ マーケティング マーケティング・セールス リーダーシップ 経済学
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  • Is the Digital Agency Model Broken, or Are We Just Calling It the Wrong Thing? With Brent Weaver | Ep #920

    Is the Digital Agency Model Broken, or Are We Just Calling It the Wrong Thing? With Brent Weaver | Ep #920
    2026/07/08
    Would you like access to our advanced agency training for FREE? https://www.agencymastery360.com/training Are you running an AI-first agency and telling yourself you have made the shift, when what you have actually done is give everyone on your team a faster version of the same job? After months of AI training, are you wondering why the team still works the same way it always did? Today's featured guest currently serves a CEO of a white-label agency serving over 400 partner agencies worldwide. He came into the role specifically to go deep on AI, and what he found was not an upgrade to the existing model. It was a fundamentally different model. In this episode, he draws the line between an AI-first agency and an agentic agency, what that distinction actually means structurally, and what the parallel-build approach looks like inside a 400-person operation. Brent Weaver is the CEO of E2M Solutions, a white-label digital agency with a team of over 400 people serving more than 400 partner agencies worldwide across web development, SEO, paid media, content, and AI services. Before E2M, Brent built and sold his own agency, UGURUS, where he spent years coaching agency owners on positioning, sales, and growth. He joined E2M deliberately, partly because it gave him a forcing function to go all-in on AI at scale rather than observe it from the outside. Brent has been on the podcast before, discussing the sale of UGURUS, and how he found his next path. In this episode, we'll discuss: AI-first agencies vs agentic agencies Creating a separate AI services team What happens to thinking when you stop doing it? Subscribe Apple | Spotify | iHeart Radio Sponsors and Resources E2M Solutions: Today's episode of the Smart Agency Masterclass is sponsored by E2M Solutions, a web design and development agency that has provided white-label services for the past 10 years to agencies all over the world. Check out e2msolutions.com/smartagency and get 10% off for the first three months of service. The Difference Between AI-First and Agentic, and Why It Matters Most agency owners who say they have adopted AI have adopted AI-first. What's the difference? Everyone on the team has an assistant, things ship a little faster, and the org chart looks the same, yet the billable expectations have quietly gone up. That is not a transformation. That is acceleration inside an existing structure. An agentic agency is something different: The seats themselves are being replaced by agents. Front-end development: going to an agent. Standard WordPress builds: going to an agent. Content production: already 90 to 95 percent there. The humans remaining in those workflows are the ones responsible for the quality layer and the decisions that require genuine contextual judgment. When describing this structure, Brent is actually describing what E2M is already building inside its own teams, through dedicated agentic squads that operate separately from the traditional delivery team. Why Retrofitting Your Existing Team Is the Wrong Move E2M spent nine months doing what most agencies do: mandatory training, dedicated Fridays, internal incentives, and all-hands sessions. The team showed up, but the adoption did not follow. The problem was structural, not motivational. You cannot ask people who have spent years developing expertise in a specific workflow to simultaneously do that workflow at full speed and fundamentally question whether the workflow should exist. Those are incompatible demands. Brent uses the Blockbuster parallel: Netflix did not ask its DVD fulfillment team to build a streaming platform. It built a separate team for a separate business. The skills required were different. The mindset was different. The incentive structures were different. What E2M found was identical: the AI services team they launched separately now approaches 100 people, and those people think about work in a way that the traditional web and SEO teams simply do not. The Two Pizza Team as the Starting Point For agencies that are not 400 people with the runway to build a parallel operation, Brent's practical starting point is the Jeff Bezos two pizza rule: a team small enough to feed with no more than two pizzas. Take the three or four people in your agency who are most curious about AI, most willing to experiment, and least burdened by how things have always been done. Give them a specific problem to solve. Isolate them from the expectation of full billable output and let them build. The reason isolation matters is the same reason the parallel builds at E2M matter. When an AI-native team is embedded in a traditional delivery team, the culture of the traditional team absorbs them. They get pulled into existing workflows to cover capacity. The experimental mandate loses to the billable mandate every time. A separate squad with a separate objective is not a luxury for large agencies. It is the structural condition that allows genuine new capability to develop without...
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    34 分
  • Why These Agency Partners Did an Eight-Month Soft Launch Before the Real Partnership Started with Josh Hanosh & Kevin Howe | Ep #919

    Why These Agency Partners Did an Eight-Month Soft Launch Before the Real Partnership Started with Josh Hanosh & Kevin Howe | Ep #919
    2026/07/01
    Would you like access to our advanced agency training for FREE? https://www.agencymastery360.com/training Have you ever realized that the thing your agency needs most is the exact thing you are worst at? Have you been trying to hire your way to a leadership partner when the right one might already be someone you know? Today's featured guest built a full-service agency by merging two separate agencies after years of running in the same professional circles. They'll walk through how the merger actually happened, why they soft-launched it for eight months before making it legal, and how their complementary weaknesses turned out to be the most valuable thing either of them brought to the table. Josh Hanosh and Kevin Howe are the co-founders of Three29, a full-service digital marketing agency. Kevin started his agency in 2010 after the web division at his employer shut down, building from a single client into a team over fifteen years. Josh left eight years of teaching math and computer science after a student asked him why he was not doing what he told them to do. They merged their two agencies after years of friendship and peer mentoring, soft-launching the partnership for eight months before combining finances and legal structure. Three29 has since built Visible, an AI-powered analytics and optimization platform, and is now positioning around GEO alongside traditional digital marketing services. In this episode, we'll discuss: The partnership soft launch What the first twelve months looked like How a career in teaching made Josh a better manager Subscribe Apple | Spotify | iHeart Radio Sponsors and Resources E2M Solutions: Today's episode of the Smart Agency Masterclass is sponsored by E2M Solutions, a web design and development agency that has provided white-label services for the past 10 years to agencies all over the world. Check out e2msolutions.com/smartagency and get 10% off for the first three months of service. Why the Merger Happened and What Made It Different From a Hire Kevin had tried to solve his growth ceiling the usual way: salespeople, key employees, internal promotions. None of it held. The ceiling was not a skills gap that a hire could close. It was a leadership gap that required someone with genuine ownership mentality. That is not something you can interview for or create through a compensation structure. The conversation about merging with Josh happened almost by accident and moved quickly once it started, because both of them already knew what the other could do. What made the arrangement structurally different from other partnerships either had seen is how they entered it. Instead of signing papers and hope for the best, they worked together for eight months with shared clients but separate finances and a clear exit ramp if the working relationship did not hold. That trial period removed the pressure that tends to make founders commit to the wrong arrangement before they have enough information. By the time the legal structure was formalized, they already knew they worked well together and understood how their individual strengths fit without overlap. What the First Twelve Months After a Merger Actually Cost Kevin and Josh admit the first year was harder than expected and produced less than either of them had projected. Integrating two teams, two client bases, two financial structures, and two ways of doing things took nearly all of the bandwidth they had assumed would go toward growth. The things they wanted to build together, the new positioning, the new service lines, the platform they eventually launched: those did not start moving in any real way until the second year. This is a pattern worth understanding before any founder considers a merger as a growth strategy. The combination of two ongoing operations creates a temporary period of higher complexity, not lower. The payoff is real. Josh describes having a partner with genuine ownership mentality as something no hire ever delivered. Kevin describes having Josh handle the strategy side as giving him back the work he is actually built for. But neither of those outcomes arrived on day one, and founders who go in expecting immediate lift will misread the first twelve months as evidence the merger was a mistake. How Teaching Prepared This Owner to Manage an Agency Team Not every agency owner is cut to be a manager, and many admit to being terrible at it. However, Josh's teaching background actually gave him just what he needed to succeed: The patience to let someone struggle toward an answer rather than handing it to them The ability to explain complex concepts one level above where the other person is, not ten levels above The instinct to serve rather than impress These are not soft skills. They are the exact capabilities that determine whether clients stay, whether junior employees grow into senior ones, and whether a founder can eventually step back without the team falling apart. In fact, one Mastermind member ...
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    35 分
  • The Iron Man Model for Agency AI: Why the Suit Does Nothing Without the Operator with Kevin McGrew | Ep #918

    The Iron Man Model for Agency AI: Why the Suit Does Nothing Without the Operator with Kevin McGrew | Ep #918
    2026/06/28
    Would you like access to our advanced agency training for FREE? https://www.agencymastery360.com/training Have you gotten mediocre output from AI and blamed the tool? Are you running a marketing team that is still activity-based when the clients who trust you need you to own outcomes? Today's featured guest came up through the Navy, where he learned that calm in chaos comes from frameworks, not confidence. In this episode, Kevin walks through SMAC, the military-derived operating framework he uses with clients, employees, and his own agency. He also gets into the Iron Man model for AI usage, how he cut a two-day research process to eight minutes, and what his Red Lens tool does before any campaign goes out the door. Kevin McGrew is the founder and CEO of Strategos, a demand generation agency based in Southern California. He served in the Navy after high school, where he discovered that elite performance under pressure is a function of drilled frameworks, not natural ability. He went on to found and exit three businesses before launching Strategos, which started as a social media agency at the dawn of Facebook business pages and has since evolved into a full demand generation model. Kevin trains his team and his clients on the SMAC framework and has rebuilt his entire production model around what he calls human-led, AI-amplified operations. In this episode, we'll discuss: Kevin's SMAC Framework for successful campaigns The Iron Man model for human-AI relationships How to get a resistant team to use AI Subscribe Apple | Spotify | iHeart Radio Sponsors and Resources This episode is brought to you by Wix Studio: If you're leveling up your team and your client experience, your site builder should keep up too. That's why successful agencies use Wix Studio — built to adapt the way your agency does: AI-powered site mapping, responsive design, flexible workflows, and scalable CMS tools so you spend less on plugins and more on growth. Ready to design faster and smarter? Go to wix.com/studio to get started. Why Spray and Pray Is Still the Default and What SMAC Replaces It With In his time in the Navy, Kevin was impressed by how cool, calm, and collected the SEALs were when dealing with stressful situations. The reason for this was basically training and frameworks. This is something he applies to every aspect of his life, and it's the tool he uses to train his team on how to build winning campaigns with the SMAC framework, which comes directly from military operation: Shoot: knowing your target with enough specificity that you are not wasting ammo. In marketing terms, that is ICP clarity before any campaign launches, understanding who you are looking for before you spend a dollar trying to reach them. Move: staying agile and not sitting still long enough for the competitive environment to get a clear bead on you. Adapt: this is the data discipline: running campaigns on real signals rather than assumptions, the way combat aircraft are identified friend or foe before anyone pulls a trigger. Communicate: this refers to preparation, having the right message built before you need it rather than scrambling to write copy mid-campaign. The reason most agencies default to activity-based marketing instead of this kind of disciplined execution is the same reason Kevin's early Navy self had no framework for anything: nobody built it for them. Spray and pray is what happens when the target package is unclear and the pressure to produce something is higher than the standard for producing the right thing. SMAC does not require a military background. It requires deciding, before the work starts, that clarity is worth more than speed. The Iron Man Model and What the Suit Cannot Do Without the Operator Kevin uses Iron Man to frame the human-AI relationship. Basically, the suit by itself is junk. Tony Stark is the variable that matters. AI handles research and synthesis, first draft production, and reporting narratives, the parts of the work where speed and information aggregation are the constraints. The human operator stays accountable to the client, owns the strategic direction, and runs everything through a quality check before it goes out. The practical output of this model is striking. A competitive landscape analysis that used to take two and a half days of dedicated people hours now takes eight minutes. Monthly client reports that required two hours of prep are now twenty minutes. That compression is coming from building the right AI infrastructure, training it on your frameworks and your quality standards, and having the discipline to keep humans in the accountability seat. The agencies getting burned by AI right now are the ones treating the first draft as a finished output. The ones building leverage are the ones who figured out what the suit is actually for. The Red Lens: Why You Need a Skeptic Before Anything Ships AI is optimistic about its own output. It produces something impressive-looking and fast, ...
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    30 分
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