Marketing School - Digital Marketing and Online Marketing Tips

Neil's team won a $6M, three-year SEO contract without talking about SEO: they pitched the business problem, the board's numbers and the ROI. Eric reads the September jobs report, 29,000 jobs against a 90,000 forecast, and they agree that without AI growth the economy would be in recession. Neil shares a grocery bill and a moment at Target, and his plan to stop taxing people under $100K. Then agents: Latin America's biggest retailer, optimizing for LLMs to choose you, and Eric's Meta agent haggling 40% off an order from On. Eric covers OpenAI's Dots and its new distribution channels to 1 billion monthly users, and they close on X Money's 6% offer. A grounded episode on selling in hard times.

Key takeaways

◾Pitch the business outcome, not rankings or links

◾Optimize for AI agents to choose you, not just list you

◾A great offer still beats a clever pitch

Chapters

00:00 Neil's team won a $6M SEO deal without talking SEO

01:28 Sell the business case, not features

03:23 September jobs report: no AI, recession

04:26 Neil's grocery bill and the grandma at Target

06:47 Bridging the gap to abundance

07:26 Neil's tax plan for people under $100K

08:49 How to win any deal: solve their problem

09:35 Latin America's biggest retailer and AI agents

10:35 Optimize for LLMs to choose you

12:28 Eric's Meta agent haggles 40% off at On

14:01 Neil won't let AI near his travel

14:47 OpenAI's Dots spots errors in your email

15:36 Dot.com is owned by SpaceX

16:08 OpenAI's 1B MAU distribution channels

17:21 Microsoft and Google will undercut the labs

18:23 X Money: 6% on cash, 3% back

20:36 Neil wants his cash back in SpaceX stock

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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

Chapters

00:00 Should you sell your data to the AI labs?

02:06 Data is the moat as models converge

02:51 Eric's YouTube videos are driving leads

03:45 Bain: only 6% of marketers see AI impact

05:13 Neil asks: how many of you are growing?

06:10 Neil's top 3 AI wins in marketing

07:29 AI amplifies effort, and only 2.2% of homes pay

08:59 Why we stopped hiring clippers

09:58 YouTube's originality update for Shorts

11:54 Neil's team wanted 10 clip channels

12:58 Eric no longer needs an editor or a poster

13:32 Niche content brings qualified leads

15:27 Neil's channel: topics from the sales pipeline

16:52 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

Chapters

00:00 Instinct grows 10% a day, no personal brand needed

01:21 Lisa Su's Formula One badge moment

02:06 Personal brands worked five years ago

02:41 Why Neil Patel Digital became NP Digital

04:01 Shoppers now switch brands on a dime

05:32 It has never been easier to make

06:19 DHH: look at all the things I'm not doing

07:34 Agent tokens now dwarf human tokens

10:50 Finance teams push back on AI spend

11:32 A teammate maxed out the Ahrefs tokens

13:02 A friend spends $14K a day on tokens

13:44 B2B tools ship too many features

14:49 Hormozi's AI usage cap memo

16:44 Training won't fix a mindset

18:28 Hire AI-native people who can keep up

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Growth Newsletter: https://levelingup.beehiiv.com/subscribe

Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/
Want to recruit great marketers? Find them here: https://marketingschool.io/hire

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

Chapters
00:00 The AI-native marketer: Cody Schneider
01:36 Neil on Cole Gordon's podcast
04:24 Research is what makes an interview good
04:54 'My personal brand is dying'
06:35 The four burners theory
07:19 Social media became interest media
09:03 What Neil's team does for him now
12:49 Addicted to the game
13:27 Eric's travel stats
16:36 Which speaking gigs are worth it
17:54 Brand takes 10+ years
20:03 SEO has always evolved
20:24 YouTube's big changes: thumbnails by segment
22:11 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

Chapters
00:00 Jev use cases for marketers
02:50 Neil's AI writes his M&A follow-ups
06:02 Prediction: Google and Apple ship their own Muse
07:53 OpenClaw vs Muse
11:13 'I would fire you': AI output nobody checked
13:07 Slop cannons in an AI-native company
13:54 AI is leverage
15:11 The $80M real estate pitch
17:12 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

Chapters
00:00 Nvidia's CUDA moat is leaking
02:29 Neil: brand is a moat, capital isn't
03:35 Harry Stebbings: three rounds in three weeks
05:07 Six of the top 10 companies come from the Bay
07:02 The three moats that survive
09:13 Neil: AI shoppers still care about brand
11:46 Meta Muse and Scale's $14B bet
12:16 Doodoo picks Eric's wardrobe
13:04 Muse + Jev sort 116K followers for $3.30
14:29 Neil's influential followers
15:43 Why Neil waits for proof, then bets big
18:11 Why this podcast works: persist vs change
19:03 The personality test: 99% vs 1%
20:50 Empathy at work

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Shopify's Tobi Lutke has a name for AI work nobody reviewed: a slop grenade. Eric explains how it lands on your desk and blows up your day, and Neil says AI simply reveals who is lazy and who is great. At his conferences almost everyone uses AI, but fewer than 5% edit what it writes, which is why so much marketing now looks the same. They build a policy on air: an emailed warning, then a write-up, then termination, and Eric argues growth only comes from discomfort, from SpaceX to training to failure. The episode closes on a 64-year-old SEO who spent $40K on his own AI rigs because nobody had to tell him to. A blunt episode on standards in the AI era.

Key takeaways
◾AI amplifies what is already there, good work and lazy work alike
◾Fewer than 5% of people edit AI output; that is why it all looks the same
◾Put a paper trail on slop grenades: warning, write-up, then out

Chapters
00:00 Slop grenades: AI work nobody reviewed
01:56 Neil: AI shows you who's lazy
04:35 Thinking Machines: AI amplifies intelligence
06:36 Less than 5% edit what AI writes
08:43 The 'is this your best work?' rule
10:38 Warning, write-up, termination
12:28 Growth comes from discomfort: SpaceX
13:24 Train to failure, work to failure
15:39 The 64-year-old SEO who spent $40K on AI rigs

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Neil explains why he despises coaches who sell how to get rich, and Eric separates them from the Bill Campbells and Matt Mocharys who coached Apple, Google, Coinbase and OpenAI without charging founders. Neil reads a cold pitch promising him an extra million a year and Eric dissects why it fails before the first reply. Then the two ideas Eric wants every operator to react to: supermemory killed its viral company brain to protect its core, because unshipping matters more than shipping when anyone can build anything, and Paul Jun of Ramp's brand as software, where a design file carries the brand into every asset so designers do the new work. Neil's take on ChatGPT agent ads, and BugBasher, the Devin agent Ramp gave a card and a phone that made $75 selling pest-control leads in four weeks. A sharp episode on focus, coaching and what AI agents can already do.

Key takeaways
◾If someone doesn't do the research before your check, it gets worse after it
◾When you can ship anything, unshipping is the discipline that keeps you extraordinary
◾Codify the brand as software so creative people spend their time on what a system can't predict

Chapters
00:00 Coaches who sell 'how to get rich'
00:48 Two kinds of coaches: Bill Campbell vs the funnel
02:03 People who are good at it, do it
02:42 The Trillion Dollar Coach and Matt Mochary
03:56 Neil reads the cold pitch
05:14 What's wrong with that message
06:00 No research before the check? It gets worse after
07:03 The legendary coaches never charged founders
08:25 Proven track record vs get-rich promises
09:21 Unshipping beats shipping
11:06 Shipping too much makes products harder
11:41 supermemory's conflict of interest
12:35 Content that wins on X and LinkedIn
13:14 Brand as software: Paul Jun of Ramp
15:25 Are you working like this? Design files and AI-pilled designers
16:10 Boomerang employees prove the vision
17:02 ChatGPT agent ads are coming
17:35 BugBasher: the AI agent that made $75
19:36 Agents that lose you money

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Eight Sleep's co-founder says the company does close to $100 million in email marketing with a team of zero after his co-founder built the bots in three days. Neil calls spades spades: email is harvesting demand that other channels paid for, and one person plus AI would beat both. Eric's version is the agent manager, the job he now interviews for. They scroll Harry Stebbings' Instagram, built on tech's most controversial stories, and debate whether that brings a VC the right deal flow. Eric demos Instinct, the $10 billion iMessage agent that planned his travel and got him onto a waitlist that morning, and the pair take apart Roy Lee's Cluely content and the cold TikTok bio a fan made of Neil. The close: Elon, Buffett and Rockefeller became brands by doing the work. A candid episode on headlines, hype and what content is actually for.

Key takeaways
◾'No employees' is a headline; the channel mix and the humans behind it are the real story
◾Sensational content grows an account fast and rarely brings the right customer
◾If the product were crushing it, the founder wouldn't have time for viral content

Chapters
00:00 $100M in email with no employees
00:54 Neil: email isn't doing that alone
02:29 The agent manager: everyone's next job
03:51 Harry Stebbings' Instagram
04:46 500 views to 40K: scrolling Harry's reels
06:38 Will controversial content bring the right deal flow?
07:09 The $10B iMessage startup
08:11 Instinct: booking travel and skipping a waitlist
10:03 Deal flow vs views: Neil's take
10:50 Put your hand on the stove
11:14 Accenture doesn't do sensational
11:43 Roy Lee (Cluely): 'global rank #1 entrepreneur'
14:02 Juiced numbers, and content as a tell
15:22 The rich people Neil knows don't make content
15:49 A fan's TikTok bio of Neil
17:22 Elon, Buffett, Rockefeller: brands from the work

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Eric opens with Bryan Johnson's team telling creators to forget the content calendar and iterate, and how he now rewrites and reposts flopped posts by voice on the walk to the gym. Neil's newest test asks viewers to comment for a free audit, and the pairing metric he wants on every social hire is leads, not views. Then enterprise specifics: a three-year contract that grew out of work in one region, why only two to three percent of NP Digital's enterprise revenue traces back to Neil's personal brand, and how ten-person search agencies quietly decide the biggest marketing contracts. Eric opens his Leveling Up channel to show the wide-TAM experiment, 8.9 million views on one short and interviews that got praise from entrepreneurs' spouses but no leads, before Neil explains the acquisition lesson that grows a bought agency's EBITDA 40 to 60 percent in a year and why he follows up with everyone. A grounded episode on measuring what actually pays.

Key takeaways
◾Pair views with leads for every social hire, or the team optimises for likes
◾Wide-TAM content brings views and comments, not enterprise leads
◾Buy the specialist that big brands already call; the follow-up is where the deals are

Chapters
00:00 F your content calendar
01:36 Comment-to-lead: the 37-places reel
03:34 Every metric needs a pairing metric
04:17 NP Digital vs NP Accel: where SMB leads go
04:53 A format library your agent keeps fresh
06:09 A 3-year contract from one region's work
07:56 Stop creating content for 90 days?
08:22 6% of enterprise leads come from Neil's brand
08:58 70% of SMB leads, 50% of SMB revenue
10:17 Procurement, RFPs and the search agencies
11:56 Dan Martell's formats and wider TAM
12:52 Seminars and ascension funnels
13:34 Eric's wide-TAM experiment on Leveling Up
15:17 The shorts: 3.9M, 2.7M, 2.1M views
17:02 Why Eric stopped: no leads
17:37 Distribution beats content when you have leverage
18:44 The acquisition lesson: 40-60% EBITDA growth
21:21 The fortune is in the follow-up
22:07 'How are things going?' scheduled for March 2027