Marketing School - Digital Marketing and Online Marketing Tips

Marketing School - Digital Marketing and Online Marketing Tips

Eric Siu and Neil Patel
Країна USA
Жанри Business, Careers, Marketing
Мова EN
Епізодів 3294
Останній 01.06.2026

Neil Patel and Eric Siu deliver daily actionable digital marketing lessons covering SEO, content marketing, social media, email marketing, conversion optimization, and online marketing strategies. With nearly 100 million downloads and over 2,500 episodes, the podcast provides practical advice from experienced marketers for both new websites and established businesses.

Епізоди

  • The Real Reason Companies Are Blaming AI for Layoffs 02.06.2026 28хв
    Neil and Eric break down how ChatGPT and Google treat Wikipedia differently, why AI search is reshaping SEO, and where AI-generated content wins or fails. They discuss AI content marketing, Google AI Overviews, ChatGPT citations, AI SEO workflows, content automation, 100x employees, ClickUp layoffs, and how creators can use AI for thumbnails, content updates, translations, and scaling marketing without sacrificing quality. • ChatGPT vs Google AI search signals • AI content marketing automation workflows • Why human-edited AI content wins Chapters: (00:00) ChatGPT vs Google Citations (01:31) AI Content Marketing Implications (03:25) Automating SEO Content Updates (05:41) Where AI Content Wins (09:53) AI Content Marketing Examples (13:48) ClickUp, AI, and Layoffs (15:52) The 100x Employee Debate (20:57) AI Stock Market Narratives (23:56) Building the 100x Organization
  • I Built an AI to Watch How I Work 01.06.2026 21хв
    Neil and Eric discuss AI in business, hiring, marketing, and self-driving technology. They break down the trade-offs between Tesla and Mercedes autonomous driving, why AI should enhance employees instead of replace them, and how companies can use AI apprenticeships to scale talent faster. They also explore AI-powered workflows, marketing efficiency, Google AI Overviews, ChatGPT visibility, and the future of AI-driven business growth. Perfect for entrepreneurs, marketers, founders, and anyone adapting to the AI era. Key Takeaways: • AI creates leverage for employees who use it effectively • Marketing teams need more output, not just lower costs • Google AI Overviews cite brands more often than ChatGPT Chapters: (00:00) New Home and Tesla Trade-Offs (00:42) Business Trade-Offs Explained (03:02) AI Mastermind Costa Rica (05:17) AI Apprenticeship Strategy (07:50) Hiring Success and Failure Rates (09:15) AI Workflow Automation (10:53) Marketing Event in Colombia (11:44) AI and Marketing Jobs (14:26) AI Replacing Employees Debate (15:48) AI Adoption and Competitive Advantage (17:23) AI Overviews vs ChatGPT Visibility
  • The Clipping Strategy Every Brand Will Copy 27.05.2026 24хв
    Neil and Eric break down why clipping is taking over B2B tech media, why horizontal videos may outperform vertical content on X and LinkedIn, and how companies like Ramp, Lovable, and Replit are building content factories for distribution. They also unpack Google’s latest AI SEO guidance, including why traditional SEO still matters for GEO and AEO, plus the biggest AI SEO myths marketers keep falling for. Key Takeaways:• Why clipping is becoming the B2B content meta• Horizontal vs vertical video debate for engagement• Google confirms SEO still matters for AI search Chapters:(00:00) Clipping Takes Over Tech Media(01:39) Engineering Content For Clipping(02:45) Horizontal vs Vertical Video Debate(09:41) Google’s AI SEO Guidelines(11:25) Non-Commodity Content Explained(16:42) AI SEO Myths And GEO Hacks(20:09) Marketing A Beverly Hills Home(21:21) Pinterest And Vibe Marketing
  • Why The OpenClaw Founder Spent $1.3M on AI Tokens 26.05.2026 14хв
    Neil and Eric break down OpenClaw founder Peter Steinberger’s $1.3M AI token spend and what it reveals about lean AI startups, automation, and scaling with minimal payroll. They discuss Hermes vs OpenClaw, AI CMOs replacing marketers, why taste and experience still matter in business, Brian Chesky’s comments on people managers, and how AI tools like Claude and OpenAI guaranteed capacity are reshaping software, marketing, and hiring. Key Takeaways:• AI token spend is replacing traditional payroll costs• Experience and taste still outperform AI in marketing• Future managers must be player-coaches and contributors Chapters:(00:00) OpenClaw Token Spend(01:05) Hermes vs OpenClaw(03:49) AI CMO Debate(05:08) AI Can’t Replace Taste(06:24) ClickFlow AI SEO(07:05) Brian Chesky on Managers(09:08) OpenAI Guaranteed Capacity(10:09) Player-Coach Leadership(11:28) Hiring Young AI Talent
  • The AI Search Strategy That Actually Works 25.05.2026 21хв
    Neil and Eric break down why AI search tools like ChatGPT, Gemini, Perplexity, and Google AI Overviews heavily cite listicles, why Google is cracking down on self-published SEO listicles, and how AI-generated content is causing major traffic declines. They also discuss GEO vs SEO, token optimization opportunities, Google’s AI search evolution, and the future of AI consulting, content marketing, and search rankings in the AI era. Key Takeaways: • AI search engines favor listicle content for citations • AI-generated SEO content can trigger massive traffic drops • Token optimization may become a billion-dollar AI service Chapters: (00:00) AI Search Loves Listicles (00:45) Google Cracks Down on SEO Spam (02:33) Short-Term SEO Tactics Fail (05:11) GEO Tools and AI Content Problems (07:16) AI Content Traffic Collapse (10:19) Google vs ChatGPT Search Future (12:00) Google AI Search Updates (14:21) Token Optimization Business Opportunity (16:30) AI Consulting and Token Control (18:47) The Future of AI Pricing
  • Neil Patel Gets 57x More Leads From LinkedIn Than X 21.05.2026 27хв
    Neil and Eric unpack how to measure the real value of an X account beyond views, why LinkedIn drives 50x more leads for Neil, and the trap of chasing audience capture instead of revenue. They dig into ICP-focused content vs broad TAM plays, parabolic AI stocks like AXT and Lumentum tied to indium phosphide bottlenecks, and the storytelling lessons behind them. The episode closes with a sharp breakdown of rebranding, why Intercom launched Fin, and why Eric spun up Single Brain instead of bolting AI onto Single Grain. Key takeaways ◾Narrow ICP content beats broad views for revenue ◾AI supply chain bottlenecks are driving parabolic stocks ◾Focused brand offshoots convert better than mixed offerings 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 Chapters 00:00 The real value of an X account 02:07 X vs LinkedIn for lead generation 04:00 Breaking down Neil's LinkedIn engagement 06:58 TAM by dollars, not population 10:48 Why chasing views hurts your business 14:05 Karrot LinkedIn personalised ads break 15:52 Parabolic AI stocks explained 16:37 The indium phosphide bottleneck 19:36 Storytelling and bottleneck lessons 20:59 Rebranding: Intercom to Fin 22:13 Single Grain to Single Brain 23:01 Keeping your brand focused 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!
  • How To Send 1 Million Emails For $100/Month 20.05.2026 15хв
    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 Neil and Eric break down how to send 1 million emails a month for $100 using Amazon SES, why deliverability beats price when choosing an email provider, and the shared IP neighborhood trick Neil uses to protect inbox placement. They also unpack the "reply guy" strategy for going viral on X without followers, how social algorithms now reward interest graphs over follower counts, and why Neil stopped blasting YouTube videos to his full email list after the algorithm flagged it as bot traffic. A practical episode on cutting email costs, growing reach from zero, and gaming algorithms the right way. Key takeaways ◾Cheap email providers work, deliverability decides revenue ◾Reply guys win on X without big follower counts ◾Social algorithms reward engagement, not follower size Chapters 00:00 Send 1M emails for $100 a month 00:41 Email provider pricing breakdown 01:36 Why deliverability beats price 01:49 Shared IP neighborhood strategy 03:08 SendLayer mention 04:08 Reply guy strategy on X 05:52 ClickFlow AI SEO break 06:36 How to be a reply guy 07:27 Followers don't matter anymore 08:41 How social algorithms actually work 09:27 Email blasts for YouTube launches 10:23 Why blasting hurt Neil's videos 11:21 Neil's email review workflow 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!
  • CEO Warns: SEO Traffic Will Be Zero? 19.05.2026 18хв
    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 Neil and Eric break down the etiquette of podcast collaborations, why giving raw recordings drives reach, and how a give-to-get mindset shapes long-term wins. They share lessons from speaking at the Social Commerce Summit, including QR code lead capture tactics, why case studies supercharge AI sales presentations, and how to calculate ROI on paid speaking gigs. A practical episode on collaboration, lead generation, and choosing the right events to grow your business. Key takeaways ◾Give raw recordings to maximize podcast reach ◾QR codes turn talks into qualified leads ◾Pay-to-speak events can deliver 40x returns Chapters 00:00 Podcast collaboration etiquette 03:00 Give-to-get philosophy 06:26 Social Commerce Summit recap 06:46 QR codes for lead capture 09:00 Lead qualification tradeoffs 11:52 Community in the AI era 12:17 ClickFlow AI content break 12:48 Conversion stats from the event 14:14 Single brain and AI implementation 16:01 Adding case studies to presentations 19:30 Getting paid to speak 20:33 Paying to speak for ROI 22:36 Criteria for paid speaking events 24:11 Calculating speaking ROI 26:04 HubSpot Inbound and brand-building events 27:29 Repurposing speaking clips 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!
  • How to Get Ahead of 99% People in Podcasting 18.05.2026 30хв
    Neil and Eric break down the etiquette of podcast collaborations, why giving raw recordings drives reach, and how a give-to-get mindset shapes long-term wins. They share lessons from speaking at the Social Commerce Summit, including QR code lead capture tactics, why case studies supercharge AI sales presentations, and how to calculate ROI on paid speaking gigs. A practical episode on collaboration, lead generation, and choosing the right events to grow your business. Key takeaways ◾Give raw recordings to maximize podcast reach ◾QR codes turn talks into qualified leads ◾Pay-to-speak events can deliver 40x returns Chapters 00:00 Podcast collaboration etiquette 03:00 Give-to-get philosophy 06:26 Social Commerce Summit recap 06:46 QR codes for lead capture 09:00 Lead qualification tradeoffs 11:52 Community in the AI era 12:17 ClickFlow AI content break 12:48 Conversion stats from the event 14:14 Single brain and AI implementation 16:01 Adding case studies to presentations 19:30 Getting paid to speak 20:33 Paying to speak for ROI 22:36 Criteria for paid speaking events 24:11 Calculating speaking ROI 26:04 HubSpot Inbound and brand-building events 27:29 Repurposing speaking clips 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!
  • Why One-Person Teams Win 14.05.2026 20хв
    Neil and Eric break down the rise of one-person startup teams, Coinbase’s “pod of one” model, AI-native company structures, and how AI agents are reshaping product, marketing, and service businesses. They discuss judgment as the ultimate competitive advantage, Amazon’s new supply chain services, China’s growing tech influence, and how startups can use AI automation to move faster, scale leaner, and build modern revenue systems powered by agents and infrastructure. Key Takeaways: ⬛️ One-person AI teams are changing startup operations ⬛️ Judgment becomes the most valuable business skill ⬛️ AI agents + automation drive scalable growth Chapters: (00:00) One-Person Startup Teams (00:34) Coinbase Pod Of One (01:48) AI Agents And Judgment (03:04) AI-Native Agency Models (06:23) Automation And Margins (07:25) Uber Growth Strategy (09:18) Amazon Supply Chain Service (10:48) AI Agents And Logistics (11:20) Favorite Snack Recommendations (14:00) Marketing Expansion Into China (16:12) SingleBrain AI Revenue Agents (18:46) OpenAI Symphony And AI Automation
  • Google Search Is Winning Again 13.05.2026 26хв
    Neil and Eric break down why autonomous AI commerce is accelerating after Stripe introduced agentic payments and Cloudflare enabled AI agents to create accounts, buy domains, and deploy apps autonomously. This episode explores AI agents with spending power, Google’s continued search growth in the AI era, hiring elite talent, scaling marketing channels, and the future of AI-driven business operations. Learn how companies like Google, Robinhood, and Coinbase are adapting to the AI economy. ⬛️ Stripe and Cloudflare unlock autonomous AI commerce ⬛️ Google search keeps growing with AI Mode ⬛️ A-player hiring creates massive business leverage Chapters: (00:00) Stripe gives AI agents spending power (00:40) Autonomous commerce and AI workflows (01:24) AI travel and bookkeeping agents (02:40) Future of fragmented AI ecosystems (04:25) Jevons paradox and AI demand growth (05:06) Brian Chesky on hiring elite talent (07:24) Google AI Mode revenue growth (09:45) The Hudson creator growth method (11:23) Why A-players change everything (17:13) Coinbase vs Robinhood crypto economics (20:25) Scaling marketing through expansion (23:24) Optimization versus premature scaling
  • The AI Spending Trap 12.05.2026 21хв
    Neil Patel and Eric Siu break down the rise of “token maxing,” why AI token spend without ROI is dangerous, and how companies like Anthropic, OpenAI, Google, and Microsoft are battling for AI dominance. They also cover TBPN’s X growth strategy, AI-powered advertising, enterprise AI services, and the marketing playbook behind Grüns’ $1.2B exit. A must-watch for marketers, founders, and AI operators looking to scale with smarter distribution, AI adoption, and performance marketing strategies. Key Takeaways: ⬛️ Token maxing without ROI creates dangerous incentives ⬛️ Google and Microsoft may dominate AI through distribution ⬛️ Grüns scaled to a $1.2B exit with message-match funnels Chapters: (00:00) TBPN’s X Ad Strategy (00:33) Mid-Form Content Growth (01:41) Monetizing Podcast Impressions (03:00) What Is Token Maxing? (04:08) AI Spend vs ROI Debate (05:10) Cutting AI Token Costs (06:16) Anthropic vs OpenAI (09:50) Why Distribution Wins AI (10:49) Anthropic’s $1.5B Venture (12:03) Why Services Businesses Win (13:32) OpenAI Enterprise Growth (14:21) Grüns’ $1.2B Marketing Playbook
  • Why AI Won't Kill Jobs 11.05.2026 24хв
    Neil and Eric break down why the AI job apocalypse narrative is wrong, using fresh data on software engineering demand, AI-powered productivity, product manager hiring trends, and the rise of “AI-pill” talent. They discuss how AI is increasing output instead of replacing workers, why companies still need top engineers and marketers, and how AI is reshaping business efficiency, hiring, and organizational structure. They also debate bloated corporations, eBay’s spending problem, and why technology historically creates more opportunity than destruction. Key Takeaways: ⬛️ AI-powered workers are becoming 100x more productive ⬛️ Software engineering and PM jobs are rising again ⬛️ AI is increasing workloads, not eliminating teams Chapters: (00:00) AI Job Apocalypse Is Wrong (00:42) Software Engineer Demand Rising (01:07) The Rise of AI-Pill Engineers (02:02) AI’s Impact on Marketing Teams (03:49) One-Person Product Teams (04:47) Software Jobs Growing Again (05:32) AI Wage Growth Trends (05:47) Why Technology Creates More Jobs (08:55) Work, Family, and Productivity (12:38) AI as an Equalizer (13:13) Product Manager Hiring Rebound (14:57) AI Adoption in Marketing (15:49) GameStop vs eBay Debate (18:15) Why Big Companies Are Bloated (21:11) The Problem With Growth at All Costs
  • What Founders Can Learn From Students Cheating With AI 07.05.2026 19хв
    Eric and Neil break down 3 marketing roles they believe AI will kill first, why entry-level execution work is getting compressed fast, and what marketers need to do now to stay valuable. They also cover why specialists are likely to beat generalists, why human judgment matters more than ever, and how AI is reshaping the structure of marketing teams. They also get into what separates unacceptable, capable, adaptive, and transformative AI users, why most teams are still behind, and how marketers can move beyond basic prompting into real workflows that actually save time and drive results. Key takeaways ◾ Entry-level execution-heavy marketing roles are under the most pressure from AI. ◾ Specialists with strong judgment are becoming more valuable than generalists. ◾ Most teams are still early in their AI adoption and workflow maturity. ◾ Prompting matters less than context, systems, and human review. ◾ AI can increase output fast, but teams still need people who can think strategically. Chapters (00:00) 3 marketing roles AI will kill first (02:42) Why data analysts, junior writers, and generalists are at risk (05:25) The 4 levels of AI marketing maturity (08:07) Why most teams still feel behind (09:40) Why mental health is becoming a bigger AI issue (13:25) The AI tools that can augment your content team
  • How I Cut My $7,500 Claude Cost To Almost $0 06.05.2026 21хв
    Eric and Neil break down how Eric cut his AI token spend from around $7,500 a month to nearly $0 by changing his model hierarchy, fixing fallback issues, and reducing unnecessary API usage. They also get into why usage-based AI pricing is changing software, why some tools become more valuable in an agent-driven world, and what founders, marketers, and agencies need to understand as AI costs shift from seat-based pricing to usage-based pricing. Key takeaways ◾ You can dramatically reduce AI token spend by fixing model hierarchy and fallback logic. ◾ AI costs need to be actively monitored because broken workflows can quietly burn cash. ◾ Usage-based pricing is becoming a bigger part of software economics. ◾ Some tools get more valuable in an agent-first world, while others matter less. ◾ Agencies that help companies become AI-readable may have a major opportunity. Chapters (00:00) How Eric cut his $7,500 AI token spend (03:25) Why usage-based AI pricing is going up (05:08) Why some software matters less in an agent world (08:11) ClickFlow ad break (12:29) Why AI-readable brands matter more (17:19) What this means for agencies and founders
  • 6 Signs Your Agency Is About To Fire You As A Client 05.05.2026 23хв
    Eric and Neil break down how AI is changing software and what founders need to understand as user behavior, distribution, and product expectations keep shifting. They unpack why building around websites, dashboards, and traditional UI patterns may matter less going forward, and what happens when people increasingly want outcomes instead of more clicks. They also get into what this means for marketers, agencies, and SaaS companies, why old funnels may become less effective, and where founders should focus if they want to stay relevant as AI changes how people discover, use, and buy software. Key takeaways ◾ AI is changing what users expect from software. ◾ Founders may need to build for outcomes, not just interfaces. ◾ Websites, funnels, and traditional SaaS UX may matter less over time. ◾ Marketers need to think beyond clicks and landing pages. ◾ The companies that adapt faster will have a major advantage. Chapters (00:00) How AI is changing software (03:12) Why traditional UI matters less (06:48) What this means for founders (10:21) Why websites and funnels may lose value (14:37) What marketers and agencies should do now
  • You Won't Believe How Much Clavicular Spends On Clips Each Month 04.05.2026 27хв
    Eric and Neil break down how Clavicular built a viral marketing machine, why clipping is starting to look a lot like paid media, and what businesses can learn from that playbook. Reports on Clavicular’s growth describe a large clipping operation that helped make his content unavoidable across platforms, which is the bigger distribution shift they unpack in this episode. They also share 10 marketing and AI tools they would still pay for even if they cost $1,000 a month, including tools for landing pages, AI call handling, ad creative, multilingual video, personalization, SEO workflows, and agent-based execution. Key takeaways ◾ What looks organic can actually be engineered distribution at scale. ◾ Clipping is becoming a serious modern paid media strategy. ◾ Businesses can apply the same playbook and often get better conversion quality. ◾ AI tools are collapsing weeks of marketing work into minutes. ◾ APIs, agents, and personalization are becoming core parts of the stack. Chapters (00:00) How Clavicular built a viral marketing machine (07:04) 10 tools we’d pay $1,000/month for (09:50) HighLevel, Higsfield, and YouTube’s multilingual features (14:59) X API, personalization, and SEO workflows (19:06) Hermes, Gemini, and agent-based marketing
  • GitHub’s Trust Problem Just Got Worse 30.04.2026 22хв
    Eric and Neil break down the fake GitHub star economy, why startup credibility signals are easier to manipulate than most people realize, and what that means for trust online. They also get into employee-generated content, the marketing channels they would bet on if they were starting over today, and why they are still doubling down on SEO even as the game shifts away from clicks and toward revenue, visibility, and AI-driven search. Key takeaways ◾ GitHub stars and other online trust signals can be manipulated, which makes surface-level credibility much less reliable. ◾ Employee-generated content is becoming a bigger growth lever for companies that want more distribution. ◾ If they were starting over, Eric and Neil would still bet on channels like podcast clips, email, AEO, X, SMS, and LinkedIn. ◾ SEO is not dead, but the old way of measuring it is. ◾ The real focus now is revenue, conversions, and visibility across search engines and AI surfaces, not just clicks. Chapters 00:00 The fake GitHub star economy 03:10 Why fake traction can fool people 08:26 The rise of employee-generated content 12:30 The 7 marketing channels they’d bet on today 18:18 SEO is dead again… so why are they doubling down? 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who actually test what they teach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of NP Digital and one of the most recognized marketers in the world. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ClickFlow: https://www.clickflow.com/ ✅ Subscribe for Daily Marketing Insights!
  • MrBeast's New Flywheel Is INSANE 30.04.2026 21хв
    Eric and Neil break down the new media flywheel, why clips, live shows, and community now work together, and why entrepreneurs need to think more like media companies. Key takeaways ◾ The strongest media businesses now run on video, streams, clips, and community. ◾ The biggest opportunities are often in boring, unsexy businesses with large markets. ◾ AI is a multiplier for top performers, not a shortcut for average ones. ◾ Great hiring now depends more on adaptability, creativity, and real AI fluency. ◾ The people who embrace AI early are creating a much bigger gap over time. ◾ Passion still matters, and it becomes obvious fast when someone truly has it. Chapters 00:00 The new media flywheel 00:56 Why the real money is in boring businesses 04:07 Why AI is making A-players even stronger 09:09 What founders should look for when hiring 16:04 Why passion still wins 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who actually test what they teach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of NP Digital and one of the most recognized marketers in the world. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ClickFlow: https://www.clickflow.com/ ✅ Subscribe for Daily Marketing Insights!
  • This New Marketing Strategy Is INSANE 28.04.2026 21хв
    Eric and Neil break down why clips are becoming more valuable than the actual show, and why the real shift in media has less to do with long-form content and more to do with packaging, distribution, and platform-native monetization. They unpack the TBPN playbook, why some podcasts are really vehicles for generating clips, why legacy media is still missing the shift, and what marketers can learn from the way modern content is being engineered to spread. Key takeaways ◾ Clips are becoming a real business model, not just repurposed content. ◾ Live viewership matters less when clips drive most of the reach. ◾ More views do not matter if they come from the wrong audience. ◾ The topic you choose affects how monetizable your content becomes. ◾ Legacy media still has not fully adapted to clip-first consumption. ◾ Marketers need to think more like media companies built for distribution. Chapters (00:00) TBPN’s live views vs. clip views (02:13) Why legacy media is losing attention (04:32) Why viral views do not always make money (06:48) What legacy media should do with clips (08:48) Eric’s AI workflow and Claude cost savings

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