This New Marketing Strategy Is INSANE

28 Apr 2026 · 21 min · 10 chapters

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In short

The “clip economy” and monetization strategy for media and marketing, plus practical AI/agent workflows and cost-cutting.

Guests/backgrounds

No clear guest list; speakers reference “Neil” (co-host) and “Professor Galloway/Scott Galloway.” They also mention Ed (legacy-media/clip strategy example), and Dylan Patel (Semiconductor Analysis). Other referenced figures: Hassan Piker, Nick Fuentes, Clavicleer, and IShowSpeed.

Key claims

Legacy media loses because people watch clips, not full streams; clips can be monetized if ads are baked into snippets. TBPN’s model reportedly generated $5M revenue last year, targeting $30M in 2026. Viral speed content may be less monetizable than strategic topics (e.g., AI).

Notable examples

TBPN live vs clip viewership charts (e.g., 7K live vs 257K clips). Oscars anecdote (“too long and boring—watch clips”). IShowSpeed branding vs uncertain revenue. Cost-cutting by using Claude CLI and model routing; RAMP AI-intensity growth stats.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

The Shift from Live to Clip Viewership

0:45 to 4:45

Exploring how clip viewership is changing the media landscape.

“The podcast isn't so much a podcast as a vehicle for generating clips.”

Legacy Media Challenges and Opportunities

4:45 to 9:50

Discussing the struggles of legacy media and how they can adapt to modern consumption habits.

“You have so many multi-billion and even trillion dollar companies that a lot of the world has not heard of.”

Viral Fame vs. Real Revenue

9:50 to 12:00

Analyzing the disparity between viral content fame and actual monetization.

“And then the cool thing is you can then work the best workflow, now for ChatGPT Images 2.0 is to do it in ChatGPT's Images 2.0 and then bring it over to Cloud Design because Cloud Design eats up credits really quickly.”

Maximizing Content Value Through AI

12:00 to 14:00

Strategies to enhance content creation and monetization using AI tools.

“you have a fallback that switches to the OpenAI OAuth, which switches to 5.5.”

Outsourcing Agent Development

14:00 to 14:32

Learn how businesses are increasingly outsourcing the development of their agents.

“to take a guess how most of these people are building agents?”

SaaS Companies as Dinosaurs

14:32 to 14:59

Explore the challenges faced by SaaS companies in adapting to new market demands.

“okay now it's dude i was talking to andrew dumas you know andrew dumas yeah yeah many times um And we're starting to feel like SaaS companies, we were texting about this the other day, are becoming like dinosaurs.”

The Shift in Consumer Expectations

14:59 to 16:02

Understand how consumer expectations for software are evolving beyond traditional models.

“I'm not talking about the ones that are controlling the data.”

Pricing Models in AI Software

16:02 to 16:49

Discover the emerging pricing models for AI-driven software solutions.

“and do it accurately and produce the best results.”

The Impact of AI on Revenue Growth

16:49 to 18:08

Examine how AI intensity correlates with revenue growth in businesses.

“And most enterprises aren't willing to do that unless you have a really good relationship with them.”

Transitioning to RAMP for Financial Management

18:08 to 19:08

Learn about the benefits of switching to RAMP for managing corporate expenses.

“So we're actually switching over to RAM right now because they have an API versus bill.com or something like that doesn't.”
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Transcript

Automatic transcript. May contain errors.

0:00Eric Siu:This guy works, he hosts a podcast with Professor Galloway. You know Scott Galloway? Uh-huh. Okay, so I'm going to show you these charts because Neil, you like charts. So TBP, an average live stream viewership versus clip viewership. What do you see here? I can't read it. My screen's too small. Oh my God. Do you have like a...

0:18Neil Patel:TBP, an average live stream viewership versus clip viewership. Live views is 7K. Clip views is 257K.

0:25Eric Siu:Exactly, which is what we talked about earlier, right? And this is from sources are Colin and Samir and Prof G. So he's basically saying, look, this is where legacy media is like cute, but clips don't make money. And so he's saying this is where they're wrong. Unlike most media organizations, TBPN bakes ads directly into the clips. At the end of each one-minute snippet, the clip was brought to you by. Ads are enabled in TBPN to generate$5 million in revenue last year on track for$30 million in 2026. The podcast isn't so much a podcast as a vehicle for generating clips. The same could be said of many podcasts, by the way.

0:57Eric Siu:but the ingenuity of TBPN is that they're first organization whose business model actually reflected that. So when I think about some of the podcasts I listen to right now, I was listening to a Peptides episode with a Dire River CEO and you can tell by the way he's asking questions. It's just to get the clips. It's to get the clips, right? And you can see sometimes when I record, I was like, Neil, let me get that clip. Let me get that clip, right? And so when we do get that clip, when we take this, like when our clips take off, Neil, you know they take off. It's just we don't, I'll make an open call.

1:26Eric Siu:If you're amazing at clips, Neil and I, we are looking to have you for the Marketing School podcast just to amplify what it is we're doing because we've been doing this for such a long time. Now, look at this, Neil. So I'm going to read this off. So you look at average live stream viewership versus clip viewership. Okay. April 2026. Hassan Piker. Don't really know who that is. Nick Fuentes. I think he's a political commentator. And then Clavicleer. I've seen him in clips. So look at this. Average live stream viewership. Okay. 33K, which I think is a lot. Average clip viewership, 706 ,000. Nick Foyntes, 612 ,000, 19K for average live stream, and then Clavicular.

2:01Eric Siu:Okay, 16K and then 251K.

2:04Neil Patel:That's a lot.

2:05Eric Siu:Okay, now I think there's one more chart over here. So it's no secret that Legacy Media isn't doing well. Over the past five years, companies like Disney, Warner Brothers, Discovery, and Comcast have lost a lot more than a third of their value. No amount of streaming acquisitions, rebrands, or spinoff have been able to stop the bleeding. So if you look at this, Neil, we got we got a comcast going down and to the right disney going down to the right and then warner brothers is actually they were down before but they're coming back up dude it's uh interesting

2:34Neil Patel:because i was in new york earlier this week and someone was telling me how all these social creators are making a killing some of it's because of their audience some of it's because of live streaming like the twitches of the world and stuff like that and what they're breaking down is a lot of them got really popular because of certain viral clips and then from there they started building up their audience so one of the guys there was talking about i show speed have you you've seen i know what it is and he always says that phrase i can beat him i can beat him and everything right yeah um and i don't know if you saw the chart that breaks down how fast he is if you compared him to any u.s college men's track star right so if you're in a college in the u.s he wouldn't even rank in the top 100 top 200 now i'm not saying he's not fast i think it was like something like he was ranked somewhere between 300 and 600 i'm not saying he's not fast he's much quicker than me he probably can literally run laps around me but yes and the point i'm making here is people assume if you can go viral and get lots and lots of views you make lots of money so we were talking about i show speed and they're like dude he makes someone's telling me on the other side of the table like he makes over 100 million i'm like there's no way i show speed makes over 100 for sure he does you think he does you should see how much revenue he makes from

3:54Eric Siu:not 100 million a year i think he's he's he's worth over 100 million that's what that was what

3:57Neil Patel:i was sure he could be worth over 100 million but they're saying he makes over 100 i don't know about that a year and i'm like that's way too high because remember how mr beast ended up breaking down his monetization of youtube and he had people guess on x and it was way lower you and i have seen a lot of YouTube monetization stats, it doesn't do as well as people think. The key here is not necessarily about the number of views. It's the topic you discuss because the topic you discuss affects how monetizable it is. And if you're just creating content that goes viral about you being fast, there's only so much money you can make.

4:31Neil Patel:But on the flip side, if I look at my most profitable videos, they were actually me talking about AI from an ad revenue perspective. Now, just think about how much companies are talking about AI. The amount of money being dumped into AI right now is so ridiculous. You have so many multi-billion and even trillion dollar companies that a lot of the world has not heard of. There's literally so many AI companies that are worth billions of dollars that generate a lot of revenue that if you ask the average of, they'd be like, I don't even know what you're talking about. But on the flip side, you ask anyone about iShowSpeed, He's done an amazing job at branding himself, amazing job at marketing.

5:09Neil Patel:A lot of people know him, but yet the revenue isn't there. It's when you do clipping, I would recommend that you do clips for your ideal audience around the type of content that you're monetizing, not about the stuff that gets views. And if you do that, you won't get as many views, but you may get double or triple than what you used to when you were talking about your content before.

5:34Eric Siu:Actually, Neil, that's a good point. Because I do get quite a bit of outreach now. Because obviously, you've seen it firsthand. All I do is nerd out on AI right now. And that's all I like to talk about. And it does generate, people are like, oh, I want to talk about this. I want to talk. Literally, there's calls and calls and calls where people are just like, hey, we want to do what you're doing, right? And that's from us creating this content about this stuff. And I'm sure it generates, you know, hopefully stuff for you guys, too. But I want to come back to this for a moment, Neil. If you look at this, so I think he explains a good story.

6:01Eric Siu:This guy, Ed, okay? So look, he's talking about Comcast, Disney, Warner Brothers. He's like, their problem is simple. Legacy media over here. People don't watch traditional content anymore. They watch clips. Since before the pandemic, time spent watching video content on social media has more than doubled. And in that same time period, Meadows revenues have nearly tripled and TikToks have grown tenfold. This really hit home for me the night of the Oscars. I asked my girlfriend, who is a, I think, Timothee Chalamet fan, if she wanted to watch it. And to my surprise, she said no. Why? I asked. Her answer was clarifying.

6:32Eric Siu:It's too long and boring. I'll just wait for the morning and watch the clips. There's only one path back for legacy media. They have to win the clip economy. The bad news is it'll feel beneath them. The good news is it will be easy. Legacy media is better at original content than anyone. And original content is to clips what light speed crude is to gasoline. Put another way, Disney and Warner Brothers are sitting on top of a clip field the size of a Permian Basin. I'll give you an... Dude, Neil. So you know what I do on YouTube shorts sometimes? I watched The Rock from WWE back in the day and I just watched all his promos, right?

7:04Eric Siu:Because it's so funny. That's what these legacy media companies need to do. Quick break for agency owners. You know the content bottleneck. Clients want more content, but writers are more expensive. Freelancers are inconsistent and you can't scale. ClickFlow fixes that. It creates production-grade content your clients will actually approve. Not generic AI slop. It's content that actually matches their voice. One agency using it reported saving 90 hours a month per person. that's margin back in your pocket. Plus it handles internal linking and content audits, which most agencies charge extra for.

7:34Eric Siu:There's a 14 day free trial at clickflow.com. Your ops team will thank you. Back to the show.

7:40Neil Patel:Dude, on YouTube, sometimes when I'm bored and sitting in a hotel room and I can't go to sleep, I'll go to YouTube and I'll watch clips of billions. You know, that TV show with Bobby. Dude, what is wrong with you, man? You're still thinking about business when you're bored. So I'm watching like all the business moments, like the clippable moments. same with Landman I don't know if you've seen Landman it's about selling oil and monetizing great show on Paramount it's with Billy Bob Thornton and there's amazing clips in there as well it's all about just running an oil business and you know monopolizing it

8:12Eric Siu:but you and I are experienced even though we're older now I hate to say that we're I'm about to hit my 40s you're in your 40s but the world is passing us by because now you're at the age where you're just like son, at your age, I was doing this. You never thought you'd say that before, right?

8:32Neil Patel:No, but I do say that.

8:34Eric Siu:Dude, you know, as you drink your water, have you played around with ChatGPT Images 2.0? I got to show you this. I have not.

8:41Neil Patel:I saw articles about it, but I haven't played. You're talking about their new release. Yesterday was a new release on 5.5, I believe.

8:46Eric Siu:Yeah, so they released three things this week. 5.5, they released. So ChatGPT 5.5, they released images. Okay, so that's their like nano banana competitor. And then they release workspace agents. That's their idea of having agents that can work with you. So let me show you just 2.0 real quick. This is, I was just messing around with this on the couch yesterday, Neil. And this is the new version. I'm like, this is a version of how I might want the single brain site to look. So those that can't see this right now, this is like a landing page design. And it's like your revenue system running 24-7 in 30 days.

9:19Eric Siu:And I really like Japanese culture. So you can see there's like Japanese sketches here. Even the characters, the agents are Japanese as well. There's like a samurai here. And like, and I was like, by the way, I want you to pull inspiration from fin.ai. I want you to pull inspiration from all these other SaaS sites. I'm like, dude, this is like, you know, 80, 85 % there. It needs some cleanup. You know, I'm not a designer per se, but this is, it's not a bad start. This is for your own website. Yeah. This is what would be for single brain.com.

9:46Neil Patel:Oh, cool. Yeah.

9:47Eric Siu:But like you have your own, I'm sure there's, there's certain inspirations you like and things like that. And you can get it there. And then the cool thing is you can then work the best workflow, now for ChatGPT Images 2.0 is to do it in ChatGPT's Images 2.0 and then bring it over to Cloud Design because Cloud Design eats up credits really quickly. So you finish it, like get it close, get your concepts done in Images 2.0 and ChatGPT and then move it over to Cloud Design. And then you combine those two and you have something really good. That's a good workflow.

10:15Neil Patel:And I don't have data on this, but from what I read, GPT 5.5 is much more efficient on the cost end.

10:22Eric Siu:So you know what I did? Let me show you something. you want to talk about costs i'll show you my personal cost here let me show you something

10:29Neil Patel:you'll like this neil oh you got it down from the seven grand all right this is and this is my

10:35Eric Siu:personal cost okay so let me show you this real quick let me share my screen so guys just for context just i was spending 7 500 uh myself which some people were laughing at about instagram i'm like more power to you to laugh at it um i just think it's going to go up for everyone but what

10:47Neil Patel:what do you see per month eric was spending 7 500 per month on himself dude but look at this over

10:53Eric Siu:here. So it was going up, I mean, as high as$413 a day this month. And then it basically, I dropped it down to$30. And I think today, today I figured out how to optimize it. I think it should drop to basically zero per day going forward. So you want to know how I dropped my cost from$7 ,500 to zero?

11:10Neil Patel:You have a Mac mini that's set up and you're using some open source models?

11:15Eric Siu:No, even easier than that, Neil. I don't even need that. In fact, that was stupid money spent so far. All you need to do now, because OpenClaw and CloudCode, they were shut off or Claude was shut off for a while, you just switch to the Claude CLI because they turn it back on now. So if you switch to Claude, you could just use your Mac subscription to$200 you pay a month and just run it through that. And then if that... What Mac subscription of 200? What are you talking about? Mac subscription.

11:37Neil Patel:So Claude has a Claude Mac subscription. That's their$200. Oh, I think it's in Mac, like Apple, like Mac.

11:44Eric Siu:If you want to bring your cost down from$7 ,500 to$0 using Anthropic, using Claude, all you have to do is switch it to the CLI version and then just use your subscription. and then you might be thinking, oh, if I run out of tokens, what am I going to do? Here's what you do. If you're paying for OpenAI, which I am, to$200, you have a fallback that switches to the OpenAI OAuth, which switches to 5.5. And only then, if both of them fail, if you run out of tokens, then you switch it to the API.

12:10Neil Patel:Yeah.

12:11Eric Siu:They're losing so much money on you. You know what's crazy, Neil? Dude, I listened to another Patel today, Dylan Patel. He runs Semiconductors Analysis. You've heard this guy, right? No. Okay, so he, he, apparently he does all the semiconductor analysis, like a research firm. And I think they probably do like 100 million a year. So last year, he was saying he was spending 10s of 1000s a year on tokens. He said this year, they're on track to spend$7 million as a research firm. Okay. And he's like, their payroll is like$25 million a year. So I have to assume they're doing like 100 or something like that.

12:41Eric Siu:Okay. And so I was talking to one of our mutual friends. And I was like, how much do you think you're gonna spend on tokens this year? He's like, at least at least a million. I'm like, I'm like, dude, you're gonna be spending a lot more. So how much do you think you guys are gonna spend this year on tokens?

Read the full transcript

12:54Neil Patel:low end, if I had a guess, maybe five, six million, high end, maybe 15. Yeah, exactly.

13:01Eric Siu:Right. I think it's just going to go up because the thing is, we all want the best intelligence. And so we're willing to pay for the frontier models, even though whatever is like open source is like pretty close. I'm like not close enough. You want the best of the best.

13:14Neil Patel:I think we'll see a switch on our end this year in which a lot of frontier models will not be needed as much for a lot of the work that marketers are doing.

13:25Eric Siu:Yeah. I mean, what I would recommend doing is you can work with whatever agent you have and build a smart router where it's like, if it's not strategic work or it's not building or you're not coding, it should fall back to some of these other models that are open source that won't cost you as much. So I think you're still going to need to do that. But at least right now with this, guys, use the CLI, okay, Cloud CLI, or use your chat TV subscriptions and then have it fall back to the API. You're going to save a lot of money.

13:49Neil Patel:Dude, we were talking to, or we surveyed, I believe those 300 companies, 100 SMB, 100 mid-sized businesses, 100 large corporations. You want to take a guess how most of these people are building agents? How? They're outsourcing it to either agencies or freelancers.

14:07Eric Siu:Isn't that ironic?

14:08Neil Patel:It is. Very few people are building agents internally. It's almost all outsource work. Yeah.

14:14Eric Siu:Dude, when we talk to people right now on these agent calls i'm like so what are you guys doing they one they want us to build the agents because they wanted to also make their people more ai fluent so because we do a pilot process where we're onboarding them um they're like oh we're down for that right because they want to learn so i don't think agencies are going anywhere i think they're going to be more demand than ever um with kind of what we're seeing i'm sure you guys are seeing the same thing too yeah yeah so

14:36Neil Patel:okay now it's dude i was talking to andrew dumas you know andrew dumas yeah yeah many times um And we're starting to feel like SaaS companies, we were texting about this the other day, are becoming like dinosaurs. A lot of them aren't adapting. A lot of them aren't really needed in this new world. I'm not talking about the ones that are controlling the data. I know there's a lot of publicly traded companies that are adapting, but I'm talking about a lot of the smaller ones. And then what we're finding from a marketing angle, when you look at a lot of the S &B SaaS companies, they're much harder to market these days than they ever have been before.

15:16Neil Patel:And the main reason is when you think about marketing, it's all about solving problems and showcasing the benefits. It's really hard to do with traditional SaaS that hasn't adapted because people don't want to look at dashboards as much anymore. They just want software to just solve the problem for them. I'm not talking about AI. I'm not talking about traditional SaaS. When I say people just want the problem solved for them, they don't give a crap if it's AI or traditional software. They just want to click buttons and then just the software or AI or whatever you want to call it just does it on their own.

15:49Neil Patel:And you can classify it however you want but the end consumer just wants to pay and something solve it for them in the least amount of work, the quickest amount of time, the most cost efficient and do it accurately and produce the best results. And it's hard to do of course all of that through technology in today's world but it's getting better and better.

16:11Eric Siu:I think the world we're going to go to in terms of pricing is you're going to have, even when I look at ChatGPT, how they're pricing their workspace agents. So right now it's free until May 6th. And the way the workspace agents are their agents, you pay the$20 a month or$25 a month for your, like the team accounts for ChatGPT, and then you can enable the agents. Then they're going to charge you based on credits or tokens, right? And then that's how they're going to make their money there. Because with the agents, it's kind of, sometimes it's hard to attribute the outcomes that you're driving. Now, if you're an agency, like Neil and I both have agencies, in some cases, maybe you still charge a base fee and maybe there's like a token overage that you might tack on with your clients.

16:48Eric Siu:In some cases, you can add on outcomes if it's easy to track, but that's harder to track for the majority of people. And most enterprises aren't willing to do that unless you have a really good relationship with them. But even then, still tougher. But I think that's where things are going. By the way, I'll give you a fun thing here, Neil. Someone said in the chat over here, because we're live, someone said, Carl Raul, why Neil looks sad? Let me tell you why he looks sad. Because it's his birthday today. He feels a little older. That's why he looks sad. Okay. So anyway, let me show you some stats over here, Neil, because you like graphs.

17:18Eric Siu:You ready?

17:19Neil Patel:Yeah.

17:20Eric Siu:Okay. So check this out. All right. So check this out. The economy is splitting. AI is the fault line. So on RAMP, November 2022 to November 2025. So they're the credit cards company, tech finance company. Annualized revenue growth by AI intensity. So this is comparing heavy AI users versus moderate AI versus no AI spend. These are the companies, okay? So look at this. If you're a heavy AI use company, 27 % growth, okay? Annualized revenue growth by AI intensity. Moderate AI, 18%, okay, which is pretty good still. No AI spend, 3%, which is US nominal GDP. Look at this over here, right? Wow. I just find that fascinating.

18:01Neil Patel:Yeah, I didn't know RAM tracks finances. I thought they just tracks credit card spending.

18:06Eric Siu:Yeah, they track everything. So we're actually switching over to RAM right now because they have an API versus bill.com or something like that doesn't. So you can query whatever you want and you can spin up virtual cards and control your expenses a lot tighter. Dude, imagine talking to an agent within Slack, asking about your expense stuff, asking about your finance stuff. You're gonna be able to move a lot faster. So that's what we're doing with it at least.

18:25Neil Patel:Yeah, I think I told you on one of the previous podcasts, I've been so loyal to American Express for years. You know, I think their marketing is great. Their product's great from the business. And, you know, they just switched to RAMP. I'm pretty sure it was RAMP. And I was shocked because someone told me I'm getting a new credit card. And I'm like, what am I getting a new credit card for? They're like, yeah, we're using, I believe it's RAMP for our corporate cards. But I don't think, and I've never used RAMP personally from outside of just a credit card because I've been with some other companies that have given me RAM credit cards.

18:59Neil Patel:But outside of that, I've never used them for accounting or anything like that. We still stick with NetSuite, which is really expensive, but yeah, it works well for enterprise.

19:10Eric Siu:And that being said, we will catch you all later. Goodbye. Have a great weekend.

From the publisher

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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