app_store_button

google_play_button

DK - Details page - Device banner - 894x1036

Nyd den ubegrænsede adgang til tusindvis af spændende e- og lydbøger - helt gratis

Lyt når som helst, hvor som helst 

Eric Siu and Neil Patel

Neil Patel and Eric Siu bring you daily ACTIONABLE digital marketing lessons that they've learned through years of being in the trenches. Whether you have a new website or you're an established business, you'll learn the latest SEO, content marketing, social media, email marketing, conversion optimization and general online marketing strategies that work today from people that actually practice marketing and operate business. Approaching 100M downloads with 2,500+ episodes, you're sure to find something that will help you grow faster. Also don't forget to subscribe to our Marketing School Youtube channel to get more marketing goodness.

Marketing School - Digital Marketing and Online Marketing Tips

Neil and Eric break down why posting less but better is the fastest way to grow on X, reacting to a deleted Nikita Beer take on wasted reach and low quality engagement. They dive into finding your authentic content style, why over-preparation kills performance, how audiences perceive AI generated content, and why being yourself matters more than polish. The conversation also explores AI commerce, Shopify and Google’s Universal Commerce Protocol, cloud coding productivity, and how Amazon-style fulfillment will shape the future of shopping.

Key Takeaways

• Quality beats volume on X and social media

• Authenticity outperforms over-polished content

• AI will change commerce, but habits change slowly

Chapters

(00:00) Growing fast on X

(01:14) Quality vs volume posting

(02:09) Finding your content style

(03:15) Speaking without over-preparation

(06:22) AI content perception study

(09:17) Design vs conversions

(12:13) Shopify UCP and AI commerce

(15:41) Amazon, AI, and shopping behavior

How To Grow Fast On X

In this discussion, we explore how larger companies often face greater inertia and resistance to change, especially when it comes to AI adoption. We reference an insightful Elon Musk interview that highlights this concept, emphasizing the gap between companies that quickly embrace artificial intelligence and those that lag behind. This episode also touches on the role of AI automation and AI tools for business in shaping the future of industries. Subscribe for more marketing strategies!

Timestamps

(00:00) AI Adoption And Company Inertia

(01:12) Why AI Compounds Faster Than Humans

(02:26) High Leverage Vs Deal Making

(03:19) Time Wasters And Daily Friction

(04:10) Parenting, Principles, And Automation

(05:26) Turning Dead Time Into Leverage

(06:18) Claude Code As A Business Brain

(07:11) Human Relationships Still Win Deals

(08:09) What Is Truly High Leverage Work

(09:21) Optimizing For Revenue Scale

(10:13) Elon Musk’s View On SEO

(11:17) Why The Best Product Wins

(11:56) Is The SEO Content Game Dead

(12:54) Valuable Content Vs Commodity Content

(13:54) How LLMs Still Rely On Search

(14:30) Unique POV And Data Storytelling

(15:22) Omnichannel Marketing Fundamentals

Companies Ignoring Claude Code Will Get Left Behind

Neil and Eric break down how cloud code and AI tools are reshaping marketing teams, using real examples from go to market planning, SEO, sales outreach, and internal automation. They explain why junior marketers are most at risk, why high agency talent still wins, and how tools like cloud code, ClickFlow, and AI agents compress months of work into hours. This episode explores leverage, execution, and what modern marketers must master to stay relevant as AI accelerates speed, scale, and expectations.

Key Takeaways

Cloud code replaces tasks, not high agency people

AI shrinks marketing teams but raises the talent bar

Execution speed is the real competitive advantage

Chapters

(00:00) Cloud code and marketing jobs

(01:18) AI go to market planning

(02:25) Senior talent leverage

(04:17) Why AI copy fails

(06:49) High agency marketers

(09:45) AI in SEO workflows

(13:02) Building prototypes with AI

(16:42) Deals vs automation leverage

How Claude Code Can Replace Your Marketing Team

In this episode, hosts Neil and Eric break down why AI fluency is becoming a non negotiable skill for marketers and operators. They discuss shrinking headcount, rising revenue per employee, the return of growth marketing, and how tools like cloud code, agents, and AI workflows are creating “superpower” employees. From hiring standards to real examples of AI driven productivity, this conversation explains how brands, teams, and individuals must adapt to stay relevant in an AI first world.

Key Takeaways:

AI fluency is becoming a baseline job requirement

Growth marketing is returning in a new AI powered form

Smaller teams can outperform larger headcounts with AI

Chapters:

(00:00) AI, headcount, and talent shifts

(01:40) AI fluency mandates at companies

(02:05) Bot first marketing future

(03:00) Growth marketing comeback

(05:24) AI powered growth examples

(07:36) AI as professional superpowers

(10:23) Hiring for AI forward talent

(15:45) Real AI workflows in action

Most New Hires Are Dead Weight Without These Two Things

Neil and Eric break down a controversial email marketing stunt inspired by a P hub recap, debating open rates, spam risk, and long-term brand damage. The conversation expands into X versus LinkedIn for information speed, how misinformation spreads online, why AI may amplify bad data, and how to think about hiring through a high alpha vs low beta framework. They close by debating the last real moat in business, arguing that brand, narrative, and perspective matter more than ever in a commoditized world.

Key Takeaways

High open rates can still destroy brand trust

Misinformation spreads faster than truth on social platforms

Brand and perspective may be the last defensible moat

Chapters

(00:00) Phub Email Marketing Stunt

(00:53) Spam Risk vs Open Rates

(01:41) X vs LinkedIn Information Speed

(03:56) Misinformation and Telephone Effect

(07:01) High Alpha vs Low Beta Hiring

(12:06) Paid Protests and Marketing Signals

(15:36) The Last Moat Standing

(17:03) Brand, Story, and Perspective

The P*rnhub Email Recap Marketing Strategy

hosts Neil and Eric break down why product builders get more respect than agencies, how bad agency experiences shape perception, and why products compound better than labor. They unpack AI-first teams, compensation tradeoffs, employee churn, and why going all-in on AI without people is risky. The conversation shifts to Meta’s potential Manis acquisition, AI agents in marketing, data privacy concerns, and how creators fall into audience capture through rage bait and political content.

Key Takeaways

Product vs agency perception matters

AI scales work but people still matter

Audience capture can destroy creators

Chapters

(00:00) Product vs agency perception

(01:38) Why agencies get a bad rap

(03:56) Compensation and incentives

(05:12) AI-only companies debate

(07:08) Meta and Manis acquisition

(09:13) AI agents in marketing

(11:57) Data privacy and China

(13:06) Rage bait and audience capture

Why People Hate Agencies

Discover how cloud code and AI coding tools like Claude Opus are changing who can build software, grow businesses faster, and unlock massive leverage without traditional coding skills. Neil and Eric break down why cloud code feels like a superpower, how marketers and operators can actually drive ROI, and why strategy matters more than random AI experiments. From revenue per employee data to real enterprise examples, this episode explains what AI adoption should really look like and how individuals can stay ahead in the next wave of AI-driven growth.

Key takeaways:

Cloud code unlocks non-coders to build real products

AI adoption without strategy destroys ROI

AI forward talent wins the future

Chapters:

(00:00) Cloud code explosion

(01:25) Building without coding

(03:45) AI ROI vs hype

(06:01) Enterprise AI strategy

(08:20) Revenue per employee data

(11:00) Hiring AI forward talent

(17:20) Can AI replace teams

(19:18) Why cloud code is different

How To Get Rich Using Claude Code

Neil and Eric break down why high agency is becoming more valuable than raw intelligence in the age of AI. They discuss Andre Karpathy’s views, Klarna’s AI experiment, why speed and execution now beat perfection, and how build versus buy decisions are changing. The conversation covers AI-driven productivity, the future of agencies, founder-led growth, and why adapting early is critical for entrepreneurs, marketers, and operators heading into 2026 and beyond.

Key Takeaways:

High agency beats intelligence in an AI-driven world

Speed and execution matter more than perfection

AI is reshaping agencies, startups, and big companies

Chapters:

(00:00) Agency vs intelligence explained

(00:30) Why high agency wins with AI

(01:12) Klarna, Karpathy, and AI impact

(03:00) End of large organizations?

(04:10) Build vs buy debate

(05:46) Speed, execution, and founders

(07:58) AI tools and productivity gains

(10:30) AI, GDP growth, and markets

(13:05) Why 2026 looks bullish

Why Intelligence Pales In Comparison To This

In this episode, hosts Neil and Eric break down how operator creators should price influencer deals, why most founders undercharge, and when sponsorships hurt long term business growth. They share real pricing frameworks, opportunity cost thinking, and why chasing views, creators, or bad sponsors can distract from building durable companies. The conversation also covers creator trust, AI fluency, data literacy, and why focusing on surface level metrics leads businesses in the wrong direction.

Key Takeaways

• Operator creators should price per post, not per view

• Sponsorships can destroy focus and audience trust

• Data fluency beats vanity metrics every time

Chapters

(00:00) Operator creator pricing

(02:15) Opportunity cost of sponsorships

(04:30) When to say no to deals

(06:55) Trust, brands, and audience loss

(10:28) Bad creator advice exposed

(15:46) Content vs real business growth

(18:33) AI fluency and teams

(22:10) Data over vanity metrics

How you should price yourself as an operator-creator

For fast, affordable business insurance as low as $29/mo, go to http://nextinsurance.com/ms

In this episode, Neil and Eric break down why running a company feels like a sandwich every day, from CEO pressure and people problems to impostor syndrome and nonstop decision making. They compare founder life versus operator life, explain why investing in yourself and your team beats risky financial plays, and discuss why talent hubs like California still matter. The conversation wraps with citizen journalism, newsjacking, and how one viral story proves attention can be earned without massive budgets.

Key Takeaways

• Running a company means absorbing pressure daily

• The best investments are yourself and your people

• Long-term focus beats fast money every time

Chapters

(00:00) CEO pressure sandwich

(01:02) Founder vs CEO reality

(02:15) Price of great work

(05:02) California talent debate

(07:12) Investing in yourself

(10:28) Laser focus for 10 years

(14:00) Citizen journalism rise

(19:06) Newsjacking lessons

CEO Says Running Company Is a Sh*t Sandwich Everyday

In this episode, Neil Patel and Eric Siu talk about Apple's headset, WPP partners with Nvidia, the Rise of creator capitalists, Twitter ad revenue tanks 59

Links Mentioned in Today’s Episode:

Don’t forget to help us grow by subscribing and liking on YouTube!

Leave Some Feedback:

What should we talk about next? Please let us know in the comments below.

Did you enjoy this episode? If so, please leave a short review.

Connect with Us: 

Single Grain << Eric's ad agency

NP Digital << Neil's ad agency

Twitter @neilpatel 

Twitter @ericosiu

 
Learn more about your ad choices. Visit megaphone.fm/adchoices
See omnystudio.com/listener for privacy information.

Apple's headset, WPP partners with Nvidia, Rise of creator capitalists, Twitter ad revenue tanks 59

Lyt når som helst, hvor som helst

Other podcasts you might like ...