Marketing School - Digital Marketing and Online Marketing Tips

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AI labs are paying millions of dollars for company data through third parties, so should you sell yours? Neil says it depends on the business model, and Eric warns the labs will use that data to compete with you. Then a Bain study: only 6% of marketers say AI has had a significant impact on performance. Eric explains why that matches the top slice of any company, Neil shares the three places AI is actually winning for clients, and an a16z chart shows just 2.2% of households pay for AI. They explain why they stopped hiring clippers after YouTube's originality update, why niche videos bring qualified leads, and how Neil now picks topics from his sales pipeline. An honest episode on data and content.

Key takeaways◾Do not sell data that lets the labs compete with you◾AI only pays when it is aimed at work that moves revenue◾Original, niche content beats clipped reach

Chapters00:00 Should you sell your data to the AI labs?02:06 Data is the moat as models converge02:51 Eric's YouTube videos are driving leads03:45 Bain: only 6% of marketers see AI impact05:13 Neil asks: how many of you are growing?06:10 Neil's top 3 AI wins in marketing07:29 AI amplifies effort, and only 2.2% of homes pay08:59 Why we stopped hiring clippers09:58 YouTube's originality update for Shorts11:54 Neil's team wanted 10 clip channels12:58 Eric no longer needs an editor or a poster13:32 Niche content brings qualified leads15:27 Neil's channel: topics from the sales pipeline16:52 Long form once a month, shorts twice

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Instinct, the AI agent that lives in iMessage, is growing 10% a day, and Eric says its 23-year-old founder proves you do not need a personal brand to win. Neil explains why personal brands worked five years ago, why Neil Patel Digital became NP Digital to cut key man risk, and why shoppers now switch brands on a dime. Eric shares DHH's talk on all the things his team no longer does, and the OpenRouter chart where agents use 7.5 trillion tokens against 1 trillion for humans. Then the bill arrives: finance teams pushing back on AI spend, a friend burning $14K a day on tokens, and Hormozi's memo capping his team's AI budget. They close on hiring AI-native people who can keep up. A sharp episode on brand and AI spend.

Key takeaways◾People buy the product now, not the founder's personal brand◾Every AI tool needs an ROI number, not an estimate of time saved◾Hire people who are AI native and can prove a return

Chapters00:00 Instinct grows 10% a day, no personal brand needed01:21 Lisa Su's Formula One badge moment02:06 Personal brands worked five years ago02:41 Why Neil Patel Digital became NP Digital04:01 Shoppers now switch brands on a dime05:32 It has never been easier to make06:19 DHH: look at all the things I'm not doing07:34 Agent tokens now dwarf human tokens10:50 Finance teams push back on AI spend11:32 A teammate maxed out the Ahrefs tokens13:02 A friend spends $14K a day on tokens13:44 B2B tools ship too many features14:49 Hormozi's AI usage cap memo16:44 Training won't fix a mindset18:28 Hire AI-native people who can keep up

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Eric shares how Cody Schneider works as an AI-native marketer, and Neil talks about his interview on Cole Gordon's show and why research is what separates a good interview. Then Neil says out loud that his personal brand is dying, judged by fewer photo requests at events, and Eric explains it with the four burners theory and the shift from social media to interest media. They talk about the content an experienced operator should make, why Neil keeps playing the game, and Eric's travel stats. The close covers why brand takes ten years or more, YouTube's coming thumbnail tests by audience segment, and Clay's CEO on why brand has to start with the founder, not the CMO. An honest episode about brand, time and attention.

Key takeaways◾Interest media rewards the post, not the follower count◾A real brand takes ten years or more to build◾Brand starts with the founder; a CMO cannot install it

Chapters00:00 The AI-native marketer: Cody Schneider01:36 Neil on Cole Gordon's podcast04:24 Research is what makes an interview good04:54 'My personal brand is dying'06:35 The four burners theory07:19 Social media became interest media09:03 What Neil's team does for him now12:49 Addicted to the game13:27 Eric's travel stats16:36 Which speaking gigs are worth it17:54 Brand takes 10+ years20:03 SEO has always evolved20:24 YouTube's big changes: thumbnails by segment22:11 Clay: brand starts with the founder

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Eric shows the Jev use cases he is running for his teams, from classifying every Instagram follower to scoring hooks and offers across competitors for a few dollars. Neil explains how his Muse agent now writes the follow-ups on M&A deals he first discussed two or three years ago, and why he gives Meta access he would never give the AI labs. Eric predicts Google and Apple will each ship their own Muse, and they compare it with OpenClaw. Then the story of an AI answer nobody checked and why Neil told them he would fire the person, followed by the core idea: AI is leverage, and leverage on a bad position just loses you money faster. They close on an $80M real estate pitch Neil walked away from. A practical episode on putting AI agents to work.

Key takeaways◾Classification at scale now costs dollars, not an analyst's week◾The deals you close come from follow-ups on talks two or three years old◾AI is leverage: it multiplies good judgment and bad judgment equally

Chapters00:00 Jev use cases for marketers02:50 Neil's AI writes his M&A follow-ups06:02 Prediction: Google and Apple ship their own Muse07:53 OpenClaw vs Muse11:13 'I would fire you': AI output nobody checked13:07 Slop cannons in an AI-native company13:54 AI is leverage15:11 The $80M real estate pitch17:12 Location, location, location

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Eric brings Peter Diamandis's take that Nvidia's greatest moat, CUDA, is leaking now that AI can port code to any chip, and why Jensen bought Mellanox years ago to own the interconnect instead. They debate the three moats that survive: speed of reinvention, capital velocity and brand. Neil keeps brand, drops capital after Harry Stebbings' three rounds in three weeks, and adds talent density, showing six of the top ten companies come from the Bay Area. Then Meta Muse: the $14B Scale bet Neil admits he would never have made, Eric's bot Doodoo picking his wardrobe, and Muse plus Jev sorting 116,000 followers for $3.30. It ends on the personality test that explains the show. A sharp episode on what still protects a business.

Key takeaways◾Your moat lasts until the next one; speed of reinvention is the durable edge◾AI shoppers still buy brands, because people tell them what status looks like◾Neil waits for proof, then bets big; Zuckerberg bet first and won

Chapters00:00 Nvidia's CUDA moat is leaking02:29 Neil: brand is a moat, capital isn't03:35 Harry Stebbings: three rounds in three weeks05:07 Six of the top 10 companies come from the Bay07:02 The three moats that survive09:13 Neil: AI shoppers still care about brand11:46 Meta Muse and Scale's $14B bet12:16 Doodoo picks Eric's wardrobe13:04 Muse + Jev sort 116K followers for $3.3014:29 Neil's influential followers15:43 Why Neil waits for proof, then bets big18:11 Why this podcast works: persist vs change19:03 The personality test: 99% vs 1%20:50 Empathy at work