Your Next Million

A look at internal strategies where a company spends approximately $1,000 per hour on social media ads for themselves and their clients. Frank outlines a comprehensive framework for creating "social media campaigns that sell" by moving away from aggressive "buy now" tactics and toward a system of intent-based marketing. The core philosophy focuses on building goodwill and trust through long-form content before ever making an offer. Key Takeaways Target the 30-90 Day Window: Most advertisers compete for the 5% of the market ready to buy today. The real profit lies in the 45% who will be ready in the next 30 to 90 days. Long-Form Video (3-6 Minutes): Videos under three minutes lack the depth to build a bond, while those over six minutes often lose social media users' attention. Empathy and Specificity: Don't use generic "motivational" content. Speak directly to the frustrations, desires, and emotions of your specific ideal prospect. Low Production, High Relatability: High-end "Hollywood" production can feel like an ad and trigger resistance. Authentic iPhone-style videos often perform better on social platforms. The Two-Step Ad Sequence: Split your campaign into Value Ads (content-rich, no call-to-action) and Sales Ads (the offer). Only show Sales Ads to people who consumed the Value Ads. Content as a Filter: Use broad targeting and let the video content itself act as the filter. If someone watches a significant portion of a specific video, they have identified themselves as a qualified lead. The Relationship is the Trigger: Sales copy is important, but the relationship and trust built during the "Value" phase are what ultimately trigger the purchase. Timestamps 00:00 - Intro and agency context on ad spend. 01:55 - Targeting the neglected 45% of the market (the 30-90 day buyers). 04:50 - Why long-form video (3-6 minutes) is the sweet spot for building trust. 07:20 - Why you should avoid generic "motivational" content. 09:01 - Being the "narrator" of your prospect's movie. 11:22 - Pre-framing: Controlling how prospects judge your "book" by its cover. 14:19 - Why relationships outperform sales copy every time. 16:21 - The synergy between Value-Oriented Ads and Sales-Oriented Ads. 20:47 - The fundamental question: What must you demonstrate to be true? 24:09 - Q&A: Budgeting for high-ticket services ($2,500+). 26:07 - Q&A: How many value videos are needed before an offer? 28:40 - The "Three Buckets" of audience retargeting (Stranger, Warm, Offer). 32:09 - Why organic follower count is irrelevant in the paid ad game. 34:31 - Using content to replace traditional Facebook targeting and "opt-in" forms. 37:00 - Mathematical breakdown of acquisition costs and ROI.

Frank breaks down the psychology of the offer using a desert analogy: If you are an unattractive, "vile" person with a terrible personality, but you're selling hot dogs to 100 starving people in the middle of the Sahara, your sales skills don't matter. Key Takeaways The Offer is King: If the proposition is awesome enough, your personality or lack of "salesyness" won't stop the deal. Take Away the Pain: Success comes from finding out what people really want and removing the friction of making the decision. Qualify to Win: Frank declines about 65-70% of people who want to talk to him. He only speaks with businesses that are already successful ($500k+ yearly) to ensure he can actually deliver results. The "Rainmaker" Close: Stop pitching and start helping. Identify the "one big thing" the client needs and simply ask, "Want me to help you with that?" The Rainmaker Process Get in front of the right people: Target those who meet specific criteria (successful businesses with deployable assets). Offer free help: Set aside time to solve a problem for them for free to prove your value upfront. Reverse the Flow: Let the results of that free help be the driver for why they want to pay you. Episode Results: By using this method, Frank acquired 43 private clients paying a collective $1.3 million per year—all without "chasing" a single one. Visit FrankKern.com/class for more insights on high-level business strategy.

Let's pull back the curtain on the "AI gold rush" to reveal a staggering reality: last year alone, businesses lost $285 billion on failed AI initiatives. While social media is flooded with "get rich quick" app builders, the corporate world is facing a massive ROI crisis. Brought to you by - http://www.ojoy.ai The Trillion-Dollar Opportunity in 2026 We are currently standing at the precipice of an AI Apocalypse. But for those who know how to navigate it, this represents the single greatest economic opportunity in history. As traditional job markets face a "tsunami" of disruption, a new class of AI Producers is rising to claim the future. Key Highlights From This Episode: The Failure Rate: Why 95% of the $300 billion spent on AI last year failed to produce a return on investment. The 2025-2026 Layoff Wave: Analysis of the 1.17 million U.S. layoffs in 2025 and why companies like Amazon and Meta are pivotally shifting toward AI-integrated roles. The 0.05% Club: Why only 1 out of every 2,000 people actually knows how to build consistent, functional AI applications. The "Magic Trick" to Prompting: Why you should stop telling AI what to do and start asking it how to train itself. Trillion-Dollar Projections: Why the IDC and Pearson project up to $6.6 trillion in losses for the U.S. economy due to AI illiteracy. Critical Stats & Data Mentioned: Statistic Source/Context $285 Billion Total money lost on failed AI projects last year. 1.17 Million U.S. workers laid off in 2025 (Challenger Gray Report). 2.5x Profitability Increase in revenue for companies properly using AI (Accenture). $300 Million Meta's contract offers for top-tier AI talent. "AI is hitting the labor market like a tsunami, and most countries and most businesses are not prepared for it." — International Monetary Fund (IMF) The Producer vs. The Consumer By 2027, if you haven't mastered the ability to make AI work consistently, you risk becoming irrelevant in the white-collar workforce. This episode breaks down how to move from a Consumer—someone who just uses ChatGPT for recipes—to a Producer who can build automated workflows, research tools, and content engines. What's Next? Are you ready to join the 0.05%? Stop watching the "30-second app" tutorials and start learning how to think differently about human-AI collaboration.

If you are using Artificial Intelligence to build 47 funnels a day and not making any money, it is a trap. Here is how to use AI to actually scale a real business instead of just failing faster. In this video, we break down the fundamental marketing principles that outlast any software update and how to apply them using Artificial Intelligence. Unlike standard tutorials that teach you to spam volume, we reveal the specific data from an MIT study showing why 95% of AI business applications fail to deliver measurable results. You will see exactly how to use AI data analysis to identify your most profitable assets, eliminating shiny object syndrome. We specifically cover the Pareto Principle (the 80/20 rule) and the "Offers + Goodwill x Frequency" framework to predictably scale your existing business. 💥 Get the AI tool built specifically for revenue growth (Free Trial): https://ojoy.ai 👉Watch Next: See how AI replaces a $20K/month marketing team: https://youtu.be/rUGiym9mysk [TIMESTAMPS]: 0:00 - The AI Funnel Trap (Why Volume Equals Failure) 1:43 - Principle 1: Focus & The oJoy.ai "Chief Revenue Officer" 4:56 - Principle 2: The Vital Few (The 80/20 Rule) 8:04 - Principle 3: Building Evergreen AI Assets (Convert 2.0 Case Study) 12:08 - Principle 4: Moving Prospects Forward (Advanced AI Email Segmentation) 17:07 - Principle 5: The Value Formula & The $352 Billion MIT Study #AIforBusiness #MarketingStrategy #oJoy

Everyone says you need to "Start an AI Agency" to make millions in 2026. And technically, the hype is there ($307 Billion was spent on AI implementations last year). But if you're reading this, you probably know the uncomfortable truth. Most of those projects are failing. The problem isn't the "AI" or the "Client." It's the Learning Gap. Most agencies are selling "tools" (chatbots) when businesses are desperate for "outcomes" (custom automation). The method that actually saved my business $44,000/year—and is generating up to $10 returns for the top 5% of companies—is simple: The Architect Method. So today, I'm going to show you how to stop "prompting" and start "architecting." We are going to build a custom, enterprise-grade solution that replaces expensive software... without writing a single line of code yourself. We analyze the conflicting data between the IDC Spending Report and the MIT Failure Study. We then break down the "Architect" logic that separates the 95% who fail from the 5% who succeed. Finally, we use Claude to run a "Tech Stack Interview" and build a recursive, self-correcting automation system for High Level and Google Workspace. Anyway, here is how we will use AI to stop guessing and start building: Step 1: The "$307 Billion Lie." We look at the stats (95% failure rate) and explain why the "Standard Agency Model" is dangerous for beginners. If you are just selling "implementation," you are selling a commodity. Step 2: The "Learning Gap" (MIT Study). We reveal why AI tools "drift" and fail over time. The secret isn't better prompting—it's building a system that understands your specific Tech Stack context before it writes a single word. Step 3: The "Architect" Protocol. Most people ask AI to "do the work." I show you how to ask AI to "design the blueprint" first. We use the Recursive Self-Correction technique to have the AI write its own Python scripts and fix its own errors. Step 4: The "Tech Stack Interview." We watch live as I get the AI to interview me about my specific setup (High Level, Gmail, Custom Database). This ensures the code it writes actually works for my business, eliminating the "Hallucination" problem. If you want to be part of the 5% making AI work instead of the 95% burning cash, this video shows you the shift you need to make. 👉 Watch Next: Stop Posting Educational Content: https://youtu.be/EgrrgTPf2tI Timestamps: 0:00 - The $307 Billion Lie (IDC vs. MIT Data) 1:28 - The "Learning Gap" Explained 4:55 - The Top 5% (FullView & IDC ROI Data) 7:25 - Case Study: How I Replaced Freshdesk (Automated Support) 12:04 - Case Study: How I Replaced Hyros (Custom Attribution) 15:39 - The "Architect Method" Defined 17:31 - Step 1: Defining the Outcome (Not the Output) 19:13 - Step 3: The "Tech Stack Interview" Technique 20:35 - Step 5: Recursive Self-Correction (The Secret Sauce) #AIAutomation #BusinessStrategy #FrankKern #AgencyOwner

Stop using AI to generate generic sales copy. Here is how to use the "Expectation Violation" framework (the same one that took Avis from $25M to $75M) to boost clicks and engagement by 63%. Most business owners use AI to write "better" copy, but they end up blending in. In this video, we break down Expectation Violation Theory—a psychological principle that disrupts viewer patterns to force attention. We analyze the historic Avis Rental Car campaign and a 65,000-ad study by Outbrain to prove why "contrarian" creative wins. You will see a live demo of using Ojoy.ai (Project Papillon) to engineer a "Pattern Interrupt" ad from scratch, combining Human Intelligence with AI speed. This is not about funnel hacking; it's about using behavioral psychology to increase baseline sales (proven by my own 24-73% lift in daily customer data). 👉 Get the tool I used to write the ad in this video (Free Trial): https://ojoy.ai 💥 Watch Next: AI Took My Job https://youtu.be/EbS5BWjsrAI [TIMESTAMPS] 0:00 - The Missing Ingredient in AI Copy 0:17 - The $50M "Avis" Secret (Expectation Violation) 1:07 - The 65,000 Ad Study (63% More Clicks) 2:00 - My Results: 24-73% Increase in Daily Sales 3:30 - The "Anti-Marketing" Case Study 4:30 - The Ojoy.ai Workflow (Project Papillon Demo) 6:00 - How to Inject "Human Intelligence" into AI 9:30 - Refining the Ad with Project Shepherd 11:05 - Formatting for Social Media (The Final Result) #Hashtags #Copywriting #AIMarketing #Ojoy