The argument in one line.
Men and women now inhabit algorithmically distinct internet ecosystems that exploit different psychological vulnerabilities—loneliness and status-seeking in men, validation and problem-solving in women—to drive consumption in fundamentally different ways.
Read if. Skip if.
READ IF YOU ARE…
- A marketer or creative director who works across multiple consumer brands and needs to understand why male and female audiences respond to fundamentally different content and messaging.
- A content creator building an audience on social media who wants to understand the algorithmic ecosystems shaping what men versus women see, follow, and engage with.
- A business founder or product manager launching to both genders who suspects your male and female customers live in different cultural worlds and needs a framework to explain why.
- Someone curious about modern consumer psychology who wants a concrete taxonomy of why people buy things online—beyond surface-level demographic targeting.
SKIP IF…
- You work in academic gender studies or sociology and need rigorous peer-reviewed research; this is observational marketing analysis, not scholarly methodology.
- You're looking for tactical how-to steps on running ads or building campaigns; this is diagnostic and conceptual, not an execution guide.
- You operate in a B2B space or sell primarily to businesses rather than consumers; the frameworks here are built around individual psychology and social media behavior.
The full version, fast.
Men and women now inhabit algorithmically separate internets, and the brands selling to them have built entire playbooks around that split. The women's algorithm runs on a feel-seen, problem-solution loop that validates worldview and converts commiseration into purchases, while the men's algorithm runs on the quantified-man dynamic � ranking men by height, wealth, and physique, then selling supplements, courses, AI tools, and status objects as the fix. Both feeds reward same-gender consumption, kill monoculture, and push buyers toward signaling rather than self-awareness. Ninety percent of consumer purchases trace to three drivers: loneliness, signaling and FOMO, or genuine problem-solving. Audit which one is moving you before you buy, and which one your marketing actually leans on.
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00:00 – 06:35
01 · The four eras of marketing
Monoculture (sex-sells, Abercrombie) to search commoditization (Amazon/Google) to TikTok algorithm era (Lululemon, ON) to hyper-tailored demographic targeting now.
06:35 – 10:22
02 · HubSpot AEO (sponsor)
60% of searches end without a click. AEO = showing up when AI gets asked for brand recommendations. Demo using the host's own shoe bag product.
10:22 – 11:53
03 · How to build a cultural insights bank
Burner accounts, feed recreation, paying customers to watch them scroll. Thesis-defend-test loop. Cut 30 internal video database.
11:53 – 13:57
04 · The women's algorithm
The feel-seen engine. Trad-to-woke + sweet-to-scandalous four-square. Separate literary/quirky sub-algo. Problem-solution marketing prints money here.
13:57 – 17:57
05 · The men's algorithm — the quantified man
Daily rejection from dating apps + wealth-flexing peers = hey-you-suck engine. Men get sold supplements, courses, AI tools as gap-fillers. Purchases shift from impressing women to impressing other men.
17:57 – 20:03
06 · The convergence problem
Both algos push same-gender echo chambers. No monoculture bridges them. The more online you are, the worse it gets.
20:03 – 22:43
07 · Three reasons we buy
1. Loneliness — buying tribal membership. 2. Signaling/FOMO — dark tactics. 3. Problem solving — the healthy one.
22:43 – 24:25
08 · Outro and what's next
Tease of follow-up creator economy video. CTA to community call and newsletter.
Lines worth screenshotting.
- Male and female consumers live on algorithmically separate internets — different platforms, different creators, different content types, and different purchase triggers.
- The three drivers behind almost all modern consumer purchases are loneliness, signaling and FOMO, and problem-solving — most campaigns succeed or fail based on which driver they target.
- The monoculture era is over — Nike was once the brand everyone loved; today it is a mid brand that failed to adapt when the algorithm split the audience.
- The search-based era commoditized products — if you could win the math game on Amazon or Google, brand was irrelevant, which is why Amazon brand names now feel untrustworthy.
- Lululemon and ON built billion-dollar brands without being great at social media — their customers did the distribution for them because the product signaled identity.
- The tailored algorithm era means two people in the same household see a completely different internet — marketing that worked in the monoculture now misses half its intended audience.
- Women's algorithm content is built around community, aesthetics, aspiration, and validation — loneliness and FOMO are the dominant purchase drivers.
- Men's algorithm content is increasingly built around self-improvement, status, stoicism, and tribalism — problem-solving and signaling are the dominant purchase drivers.
- The hardest thing in marketing is taking yourself out of the equation and seeing the world through your customer's eyes — most marketers fail here.
- Cultural insights are gathered by immersing in the actual content your target customer consumes, not by reading reports about them.
- Brand that creates true belonging — not just style preference but community identity — survives algorithm changes because the loyalty is to the tribe, not the platform.
- Documenting the split internet as it happens in real time is more valuable than waiting for journalists who do not understand the world they are covering.
Steal the insight methodology.
MCN+ creator playbook
The single biggest edge in content or brand marketing is actually recreating your target customer's algorithm — not guessing at it.
- Create burner accounts and follow the exact accounts your target customer follows — simulate their feed, not yours.
- Use the quantified man frame for any male-targeted product: name the daily deficit first, then position the offer as the bridge.
- Use the feel-seen frame for female-targeted offers: commiserate with the specific problem before you pitch.
- Audit every offer against the three-driver test: loneliness, signaling/FOMO, or problem-solving. FOMO works short-term but erodes trust.
- The lonely-men-buy-sneakers aphorism is a ready-made short-form hook — adapt it to any category where status/tribe purchases happen.
- Content TAM logic: to reach a broad audience, you need faces that match each demographic slice, then multiply by format variety.
Terms worth knowing.
- Monoculture
- A period when most consumers shared the same media, brands, and cultural references — opposite of today's fragmented, algorithm-tailored feeds where different audiences see almost entirely different content.
- Algorithmic content
- Posts, videos, and ads chosen for a user by a platform's recommendation engine based on their behavior, rather than items the user actively follows or searches for.
- Creative strategy
- The discipline of deciding what hooks, formats, and messages an ad should use based on consumer insights, before any visuals or copy are produced.
- Cultural insight
- A specific, often unspoken truth about how a target audience thinks, behaves, or talks right now, used as the seed idea for an ad, campaign, or piece of content.
- Burner account
- A throwaway social media profile created to follow, like, and mimic a target customer's behavior so a marketer can study what that customer's feed and algorithm actually look like.
- Persona
- A fictional but data-backed profile of a typical customer — age, lifestyle, habits, pain points — used to keep marketing decisions grounded in a real person rather than the marketer's own taste.
- Meta ads
- Paid advertisements run across Facebook, Instagram, and other properties owned by Meta, typically managed in bulk through the Meta Ads Manager platform.
- Brief
- A short written document that tells a creative team what an ad or piece of content needs to accomplish, including the target audience, core insight, message, and required elements.
- AEO (Answer Engine Optimization)
- The practice of getting a brand mentioned or recommended inside answers generated by AI tools like ChatGPT, Gemini, and Perplexity, rather than ranking on traditional search result pages.
- SEO
- Search Engine Optimization — the set of techniques used to rank higher in traditional search engine results through keywords, backlinks, site structure, and content.
- Visibility score
- A metric showing how often and how favorably a brand appears in AI-generated answers across major answer engines, used to benchmark performance against competitors.
- Parasocial relationship
- A one-sided emotional bond a viewer or follower develops with a creator or public figure they don't actually know, which makes that person's recommendations feel like advice from a friend.
- Problem-solution marketing
- An ad approach that names a specific pain the viewer is experiencing and immediately presents the product as the fix, rather than relying on lifestyle imagery or brand storytelling.
- Quantified man
- The idea that men today are constantly shown numerical evidence of their shortcomings — dating app rejection rates, income, height, fitness stats — through the apps and feeds they use every day.
- High ticket closer
- A salesperson who specializes in selling expensive products or services over the phone, often pitched online as a high-income remote career path requiring a paid training course.
- Dark ecommerce
- Online sales tactics that intentionally hide costs or commitments from the buyer, such as quietly enrolling them in a subscription or a buy-now-pay-later plan during checkout.
- Klarna
- A buy-now-pay-later service that splits a purchase into installments at checkout, often used by ecommerce brands to make impulse buys feel cheaper in the moment.
- Signaling
- Buying or displaying something mainly to communicate status, taste, or group membership to others, rather than for the product's practical use.
- FOMO
- Fear of missing out — the urgency a buyer feels when something is scarce, trending, or time-limited, frequently engineered by marketers through waitlists, drops, and exclusivity.
- Value proposition
- A short, specific statement of what a product does for the customer and why it's worth buying over alternatives.
Things they pointed at.
10:40toolOuter Signal
11:15toolCut 30 Video Database
02:35productAbercrombie and Fitch
05:27productLululemon
05:27productON Running
20:00productOren's shoe bags
Lines you could clip.
00:32
“Your male and your female customers live on almost completely different Internets, in particular on social media.”
14:40
“That algorithm versus the kind of more commiserate you feel seen algorithm over here is, hey, you suck algorithm right there.”
13:19
“When you feel seen for everything, you get justification for everything.”
17:40
“There is no monoculture to connect these.”
10:30
“Lonely men buy sneakers, lonely women buy water bottles.”
Word for word.
metaphoranalogystory
00:00In this video, we are going to talk about boy Internet versus girl Internet, man Internet versus woman Internet. Thank you to HubSpot for sponsoring this video. This is an oddball relatively controversial topic, but one that I think is an important one.
00:12So if you work in brand like I do and you do consumer research, particularly around the consumption habits of your customer and the ads that appeal to them, who they follow, you've probably noticed something. Your male and your female customers live on almost completely different Internets, in particular on social media.
00:27First, there's the networks they interact with, then there's the podcasters and YouTubers that they listen to, and then there's the algorithmic content they see, which is more and more tailored towards them specifically. And I started to look at this as part of my marketing work. Right?
00:40How do I make better ads? How do I make better content? How do I think better through target audiences who aren't me?
00:45Right? That is the hardest thing for most people to do work in marketing is take themselves out of the equation. You need to not care about you, where you're at in your life and your background, but care instead about your customer.
00:55Look at things through their eyes. But then it blossomed into something bigger as I began to think about this from a sociology standpoint. Because the interactions between people online and in real life are changing because of these behaviors.
01:06How we interact together as people in different communities, as members of the opposite sex, as people in society. And so in this video, we're gonna dive through all of this.
01:14We're gonna look at it from the marketing perspective and we're gonna look at it from the consumer perspective. So you start to think about what you view and why, what you buy and why. And if you are in business, you begin to think about how your target consumer sees the world.
01:26I'm gonna give an intro and we're gonna talk through the phases of marketing, how this is really different than the last twenty years. We went from big brand marketing, emotion based marketing, to the search era of marketing, to the big algorithm era, to the tailored algorithm era now. Then I'm gonna talk about developing a bank of cultural insights.
01:43If you work in brand or creative or make content, how that works and why you do it and how I do that. And then I'm gonna break down from what I've been working on brand projects, what I know about the women's algorithm and the men's algorithms and how they are different, how these kind of two Internets exist at the same time.
01:59So you can get a look into how that content is different and what that actually means for how we consume and how we act with each other, especially as more and more people become quote unquote terminally online. Now I'm gonna end with some core thoughts about why we buy things in the modern era. They're important to dig through.
02:14So I think this is an important video because the world is changing around us. There are not really people involved in documenting it. Journalists do not understand the world that they are covering.
02:23And I'm obsessed with it and happy to share it. I want it be a conversation. You're not gonna agree with everything I say.
02:27I won't say anything in here to be controversial. I say it because I'm watching it happen, but I would love for you to comment, share your opinions, what you see because this only gets better as a conversation. If you wanna discuss it live, there'll be a link to the next community call down there where I'll be rolling through with hundreds of you like we do every month.
02:43Let's lock in. So first, now we're in the time where it seems almost awkward to talk about the past. How things were marketed to us even when I was younger, like in high school and college are just not the same.
02:52In fact, it wouldn't be kosher to market that way now. And so I grew up in the impress the opposite sex era. It was also the sex sells era.
03:01To give some context to that, I used to work at Abercrombie and Fitch. They sold to male and female customers alike. A huge marketing portion of that brand was they had hot guys on the bags and that they would have good looking people in the stores.
03:14An entire genre of advertising that basically would feel really out of place and antiquated now. And also a lot of the purchases you make if you were gonna go get a new cologne, you were thinking about what does this say to girls or whatever you want to attract.
03:26Obviously, a member of alternative lifestyles out there. You're beginning to think of that inside this kind of human nature ideal of attracting a partner and so much of marketing from beer ads to fast food to clothing to fragrance to luxury was built around those kind of traditional social dynamics. And there was this big monoculture like Nike wasn't the dumpster fire it is today, like this weirdly regarded mid brand.
03:50Right? It was the brand. Everyone loved it.
03:53You had these big universal brand experiences that sold to men and women right next to each other that took over the culture. And they did this through all this traditional media, through television advertising, magazine campaigns, big sponsorships, celebrity deals.
04:06It was a monoculture era, and the Internet was just starting and beginning to show more subcultures. It was very nascent.
04:12This is the late two thousands, early twenty tens. And then we have what I'll call the search based revolution. Amazon and Google made it so showing up in a search result, whether on Amazon or whether you're googling it with a competitively priced product, meant brand didn't matter.
04:25People just wanted to buy tissues, shoe inserts, sneakers, whatever it was.
04:30You were searching for it and you could position basically in a math game. You could buy a product at a certain price, offer it at a certain price, a handful of features, and you could basically build a product, a successful product without having to care about brand. And so all these companies came in.
04:44People were ordering a lot more from China. This was the early era of Alibaba. And basically, generic things began to take over in our lives.
04:51And as that became more competitive, the quality of that dropped to where you get now. You're looking at all these weird Amazon brand names. You don't know what you're gonna get.
04:57Some, like, off brand. You don't ever know if anything's real. Became this, like, weird math competition that they were almost over at this point.
05:03You almost wanna see the brand name so you know you're not getting some, like, TMU trash. Then TikTok brought on big monoculture right around the pandemic.
05:11Everyone became flocking on short form video, this new algorithmic content, and you got huge creators, creators with big mass appeal, real, basically, celebrity being born of influence in that era. And you also had a new generation of brands that were taking the market share from basically the department stores, Sears, the Macy's, the big like, the J.
05:28Crew, L. L. Bean, all that, as well as the Nikes and the Adidas.
05:32People began to chip away at that market share. Lululemon came out of nowhere. ON.
05:36Big brands with universal appeal using a new playbook and sometimes they didn't even have to run the playbook. Lululemon and ON weren't like incredible at social media, but they were selling to a social media savvy customer that did a lot of the dissemination of their marketing for them. And so all of a sudden, by playing in this new media ecosystem, whether you did it strategically or whether your customer base happened to be involved with it, it basically was taking market share from these antiquated brands and building hundreds of smaller new brands we've seen over the last five years, thousands, tens of thousands of those brands.
06:03But now it's about algorithm mastery. Brands zone in on a target demographic. Moms in the Midwest.
06:10They'll zone in by race and gender, something different for Asian moms versus African American moms versus Latin moms. Everything gets boiled down to the fact that we can be reached with content meant exactly for us. And then this plays into societal rewards that come from being online.
06:24You post the thing that shows you're in the know. You perpetuate a cycle of what you engage with giving you more things like that. That's how YouTube, TikTok, Instagram, x, Facebook, all social media is interest based social media that's very good at showing you more of what you interact with and like and basically targeting you.
06:42So that's where we were in the world. Next, we're gonna talk about how you develop a bank, how you start thinking about insights within that, how you use that to make decisions about what you consume or what you sell or how you market or how you create content. But first, something I wanna bring up before we keep going is it directly relates to stand out marketing.
06:57Because many of you are watching this thing about how do you get your brand or product discovered. And for you to use that in Google rankings, backlinking, the whole SEO game.
07:03But the way buyers research is also shifting fast. 60% of searches now end without a click. They get the answer displayed to them by the Google Gemini automatic answer.
07:11People are asking chat GBT, Perplexity, and Gemini and getting answers back that skip websites entirely. The answer engines pick who they recommend, and most brands have zero visibility on whether they're even in that conversation. So that's what HubSpot AEO is built to solve.
07:23AEO or answer engine optimization is about how you show up when someone asks AI for a brand recommendation in your category. And HubSpot's AEO tool gives you exact visibility into just that. It shows you how your brand appears across those three platforms, gives you a visibility score, shows where your competitors are getting excited and where you're not, and it tells you specifically what to write, what to fix, and what to post to improve that.
07:43You don't need a developer or an agency. You need a plain English plan, and HubSpot AEO gives that to you. So let me show you how this works.
07:49I actually put in my shoe bags, something I sell currently. I've done no timer prep in the AEO. And Miski told me that.
07:56So I have 0% visibility, but then it gave me an exact plan. I should get a post like this up on Reddit. I should have posts like these up on social media to begin showing up for it.
08:04And so I have that by ChatGPT, Gemini Perplexity. Here's what's being said already and here's what to fix to improve it. You can try HubSpot AEO free for twenty eight days and it's $50 a month after that.
08:13If you've never seen how AI describes your brand or the brand you work for when someone asks about your categories worth the twenty eight days just for that. The link is in the description and thank you to HubSpot for sponsoring this video. Let's talk about cultural insights.
08:25How do I even get to this boy Internet girl Internet thing? So for those of that don't know my background, I've been in marketing for a long time. I started the marketing in the outdoors industry.
08:32I sold high end b to c and b to b. I was in marketing in the surf industry for a while working on both high end, like actual surf gear and the e foil electric surfboard selling to really high net worth customers. I did marketing in toys.
08:44I did marketing in consumer packaged goods. A lot of this sold through big retail. Consumer electronics and Best Buy, sold in Walmart, sold in Target, and built out big d two c programs.
08:52And then this last year, was really ultra focused on beauty. I was a creative director at a private equity firm that specialized in that. And so in all of these, a lot of what my job would look like as a marketing leader is what are the insights about our consumer that we are gonna take into our campaigns, we're gonna bring into our ads.
09:05And especially this last year in beauty, everything is about that now. In the creative strategy era, is what are the things that appeal to our customer we can put in more meta ads? We're putting hundreds of meta ads in the account every month, dozens of emails, multiple social posts a day.
09:18So just constant briefs. And every brief, every great brief starts with some kind of insight, something that's popular right now with your target demographic, something they're seeing on their feed. Like I mentioned at the beginning, your job as a marketer is to be good at doing that for consumers other than yourself.
09:31So in beauty for instance, I am not that consumer whatsoever. And so when I started working on those projects, I set up burner accounts where I would follow the same people that our customers followed. We'll find our target customer.
09:41We'll use stuff like Outer Signal and go through and look at their personas, find exact people, find their social media, click their links. Who do they follow? What do they look at?
09:48Recreate their fees. Recreate what their algorithms look like. In another recent project that sparked this video, we actually paid for our customers to let us watch them scroll And we did this mainly at my behest.
09:58I basically half funded this. Eventually, company came in because I wanted to prove a point because I thought what the marketing team inside the company thought our consumer was scrolling, what they were actually scrolling were completely different. And I was right.
10:10Because look, that's one of the most sacred things we have. Right? When we scroll, it's very personal what's been served to us and why, and then it changes.
10:16But you need to understand that in a world where one of the most primary methods which we learn about or consume anything is through what happens on social media. But I've done this before the social media era and to now. Had to think about this from magazines and experiences and retail and how all this plays together.
10:30So I am constantly thinking about cultural observations and algorithmic observations for the target users that I will be working with. So what does that mean?
10:38It means I'm constantly taking up thesis that I wanna defend. And you'll see this is where a lot of my short form content has turned into when I'm like lonely men buy sneakers, lonely women buy water bottles. Blank isn't a status symbol.
10:48People are ordering in their food more now. In LA, lunch has replaced dinner. There's a of these I will constantly be kinda coming up with these ideas I see in the world around me, and I'll be having conversations with people to validate them, or I'll be putting them in the ad account with a creative around one of the brands I work with to validate if people respond to the idea.
11:04This is how you become a good marketer. You think of those ideas, you develop a platform around why it should work, you test it, stress test it back and forth with people. I get the benefit of being able to do that with millions of people online who watch my videos, and you put it into play, you see what actually brings dollars back to you.
11:18And I've multiplied this by Cut 30, we have a database called video database where we have every cut 30 person tracked. And then we have all these people in all their related niches tracked so we can see what's happening on the Internet, what formats are changing, what consumption habits, what's getting liked more or not, or rankings and ratings videos working, etcetera.
11:34And we can break that down by category, real estate, gender. We have all this basically really comprehensive tool that we built internally. And so now I'm to add these up to these real consumer insights.
11:42And this is brings us to the women's algo and the men's algo and how different they are. And I'm gonna call out both these. I'm gonna walk through both of these.
11:49You may not love some of the things that I mentioned and that's okay. I am sharing observations. My thoughts on both are relatively critical.
11:55I don't think it's healthy what's happening inside both of these algorithms, but it's also what's happening. It's accurate. So first, the women's algorithm, the ads that they are shown and the content they are served, one of the biggest trends is that it is helping women feel seen.
12:07What do I mean by that? I mean, if you have a specific scenario you're in, a relationship scenario, a particular skin type, a background, where you live, a medical issue you've had, content is being served that shows you that other people are going through the same thing. This is a major part of content that people see.
12:23And this is a good thing in general when you come from a background of women's problems not being as acknowledged as much as men's are, not being taken as seriously in the medical community. There's kind of long story history around this that this is a better solution then. And then we have what we would refer to at work as the trad to woke, sweet to scandalous cycle of content where there are basically leanings where you'll have very like traditional conservative leaning, you'll have very woke leaning, and then you'll have very kind of innocent content all the way to scandalous content.
12:50All of those, it kind of pushes those opinions one way or the other and people tend to fall somewhere in the four square on how they consume. And then there's an entire separate algorithm cut out. It's like the literary art quirky algorithm.
13:01It's more like quasi intellectual or actually fully intellectual that is very woman to woman that kind of operates outside of that other foursquare. And so you will see this is actually a very supportive algorithm as when we get to men later, is not like Where people can basically find their tribe and find people like them very easily and then develop these parasocial relationships with creators and with influencers in a really interesting way.
13:22And this happens on Substack, it happens with writers, it happens with newsletters. People find a worldview that's similar to theirs and they latch onto it. And when you think about how this affects consumption, the recommendations that come out of those algorithms feel so organic and they feel like they're makes sense because they're speaking to specific problems.
13:36That's a completely different consumption cycle than basically anything aspirational, how we've been marketed to for a decade. And so what comes with this? What are the negative that comes with this is that when you feel seen for everything, you get justification for everything.
13:48So one of the things we found looking at this content is that any opinion that you have in the women's algorithm gets very justified. You're mad at politics. You're mad at men.
13:55You're mad at other women. You have a generational opinions.
13:58It supports it specifically on women's content relentlessly. You see your worldview. And so effective marketing in there commiserates with that problem and presents a solution.
14:07Classic problem solution marketing is an amazing time to say, hey, you're not getting enough greens or does this makeup not work with your skin type or do you not like wearing plastic leggings when you work out or are you worried about your health insurance plan? Whatever it is, if you put that content, whether that's a creator, influencer, or an ad into that algorithm, it works and it prints money on the other side and it is a machine.
14:28Then we have the men's algorithm. I am looking at this objectively from data of working and marketing in this. But I know everyone's algorithm experience is different and we're gonna learn way more about it if we actually talk about what people see.
14:37So if you have a very different experience and I'd love to hear in the comments. There's a scenario that, uh, we've been talking about a lot called the quantified man. This is a theory that men are quantified in a negative way way more than ever before.
14:47Basically, they're shown their own faults with numbers every single day as soon as they log on or open their phone. It starts with dating apps. Right?
14:54But men are rejected on dating apps constantly and they accept a lot where they put out a lot more than they get back. Especially if you fall underneath certain filters, you're under six feet, guess what? Your rejection is four times as high.
15:04Not an actual stat, but you get the point trying make. So a, just number one, you are just getting destroyed by dating apps every single day. And then you're also you're logging in and you're seeing, God, all these guys are richer than me.
15:13Because guys are flexing their wealth online more than ever before. All their parlays hit. They've they've got these Mac minis.
15:18They're running automation AI. I I can't even understand. So they're constantly being hit by guys who are more ripped than them, guys who have more money than them, who seem to be luckier than them, who are able to date better than them, who are running technology better than them.
15:30So that algorithm versus the kind of more commiserate you feel seen algorithm over here is, right there. It's being pointed towards the majority of men every single day. And it may not be direct.
15:41It may not be telling them, that's a subconscious message that comes from so much of this being shown to them. And so then they are being sold replacements for that. Supplements.
15:49You need creatine. Creatine is what you've been mistaking. Oh, but you didn't realize when you click that create button, you're actually getting a subscription.
15:55Now you're on Klarna. Oh, you you you don't want subscription to creatine or you're weak man? That is what those those gummy companies are selling in like dark ecommerce cycles.
16:03Pep ties will solve all your problems. That that will make everything better. Everyone else is cheating.
16:06That's why they're in shape. Courses. Oh, everyone else is richer than you because they're cheating.
16:10They took a trading course. Right? That's being thrown at men constantly.
16:13You could be a high ticket closer. You could be a trader. You could be the like, everyone else just followed this method that you're afraid to invest in.
16:20That's being men are being hit with that. And they're being hit with that up, you know, that's like the the college early twenties level. That's the same thing moving up.
16:26Oh, you don't wanna buy and sell business in your thirties? You don't know about this investment where you get this seven point checklist. It's happening all the way up to scale.
16:33You're behind for where you should be at 45. And then AI AI is the best one. AI is you escape the permanent underclass.
16:39This new model is what's gonna get you ahead. You need to make sure that you're securing your career if you use this AI tool. You're automating things with clogged code.
16:46You bought these two Mac minis. And guess what? The result of 99.9% of that is guys just wasting time buying into stuff that has not actually helped them, but feels like it's helping.
16:56And this is a complicated algorithm to to interact with. Right? And you add on top of that, guys get shit on a lot on the women's algorithm.
17:02There's a lot of anti men content and look, that's probably totally justified. Not gonna get into that here. Marketing channel on interpersonal relationships channel yet.
17:09But then what happens is they can sold themselves with things to impress other men. Right? If you go all the way back to the beginning when I talked about how we used to buy things to impress the opposite sex or used to be marketed to do things to impress them or potential partner.
17:20Again, not trying to exclude anybody here. But now, women buy things to impress other women. Men buy things to impress other men.
17:26That is a markedly And in particular, right now, men are marketed things to impress other men. Sneakers, almost all male fashion.
17:33Overlifting. It's a huge one. And all the things that come with that of workout routines to supplements to the influencers they follow.
17:39That Ramoa suitcase, that Rolex, whatever it's gonna impress another man to make up for the fact the quantified fact you have. Golf, mentorships.
17:47And you'll notice that all these things I'm calling out, are all categories this is exactly happening in, are designed to bring a man away from self awareness, from participating in combos that might make them enlightened enough to appeal to a potential spouse. And this leads to the factor for both of these algorithms that the more online you are, the worse it is.
18:05And you're consuming from mostly same gendered voices. Guys have Barstool Sports. They have How Long Gone.
18:10They have all their, like, male industrial complex podcast. Right? Women, it's the same thing.
18:14You will get unwell. You will get hot, smart, rich. You will get all these not that all of its bad content, plenty of its good content, but you're hearing it from these communities.
18:22There's extremely little crossover. There's extremely little men and women talking through it. Anyway, it's not ridiculously toxic viral clickbait.
18:28It will be like all in. Right? No person watching the all in podcast is building any trait that is gonna lead to a conversation that's positive with the opposite sex.
18:37Right? It's it's slop. And this kind of cuts both ways, but where he cuts from, there's not other perspectives.
18:42. And the more online you are, the worse it is. And this ties to like other factors.
18:47Right? Like, I don't if you've ever had a phone in your dreams. This is always an interesting litmus test.
18:51I've been talking to my friend group a lot about. Because now people are starting to see they'll have phones in their dreams. Used to be we would never have electronics and stuff like inside our dreams.
18:58But when they do show it, there was a study recently. It was like women like 40% more likely to have have the phone in their dreams than men. And still like not a huge percentage of people that report it but of the ones that do.
19:08And you look at, okay, where is phone addiction in terms of and where is Internet addiction in between the genders. But this is the world we're operating in. And so I wanna end this out with three key reasons why we buy.
19:18You should be thinking about it. I would ask yourself, especially if anything I've said here has made you be like a little triggered. I want you to think about why you buy when you buy something.
19:24One of the core goals of my content, think about why you're consuming. And if you're a marketer and brand to think about how am I presenting things when I'm selling them then how do I put the most positive spin on that? So the three key ones I wanna talk about first is loneliness.
19:35These algorithms facilitate loneliness. Dating apps facilitate loneliness. Being online more in general facilitates loneliness.
19:41And we are sold that being lonely and alone are two different things, but humans are social creatures. We are being sold cope by marketing if we wanna think that being alone is something that makes us happy. Guys will buy sneakers because it is investment to immediately be be into a group that will acknowledge you purely by your purchase.
19:57Right? Travis Scott, Jordan, Nike. Nike put the gas pedal on that.
20:01Right? The most money, the most exclusivity, and if you had it, you were immediately part of a group of other people that care about it.
20:07Same thing with the minor things like, okay, I'm a choose this water bottle. Why were people buying Stanley water bottles off the off the, um, and crushing aisles at Target? Not because it's a great water bottle, because it's a signaler that you're this type of mom or this type of person.
20:18They had to ban these at schools near me because the girls would basically wouldn't sit with girls who didn't have the same water bottle and became a problem. So, loneliness is a huge reason why people buy and I don't say that to say that's bad. In fact, an investment that helps you make friends or help social interaction become easier, helps you find your tribe is honestly kind of a great investment because that is harder than ever in the Internet world and friends matter more than ever.
20:37Key to everything is having a group. And so if it's easy to signal that or a purchase helps with that, I don't think that's a bad thing necessarily. It's just worth calling out as one of these reasons.
20:45The second issue than the the worst one of these is signaling in FOMO. Buying something purely to signal something to a group that does not necessarily involve you having their friendship. You're signaling online or something like that.
20:55And FOMO, fear of missing out. You're buying because the wait list or it's gonna go or some kind of dark tactic or it's exclusive or it's hot right now. It's a little boo boo.
21:01Signaling and FOMO purchases are a lot of how marketing works, a lot of kind of dark tactics. And it's worth always thinking about. I always try to call out with people if they're looking at, oh, I buy all this stuff or I'm over consuming.
21:10It's like, are you buying because it's a signal or because it's FOMO. Right? Remova.
21:13Only a signal. Has no other value. Most people should never in their lives are making enough money unless you are in the one percent to justify spending that much on luggage.
21:21There's a signal FOMO purchase and the difference between that luggage and luggage that is just as good that is a thousand dollars cheaper is a thousand dollars that you could have to improve your life in any other way. And the last reason we buy is problem solving. Right?
21:31Back to back to the fundamentals of the women's algorithm, and this works for everybody, is you are now presented, hey. Do you have this issue? We built this thing to solve that.
21:38And those issues are more and more nuanced and more and more particular, and brands are better and better at now articulating their value proposition. It's a huge part of marketing today is doing that with creators, influencers, ads for all the kind of micro problems we damn or didn't even know we had. And that tends to be a great reason to buy something if that's a real problem you exist with and you wanna validate that this is a solution.
21:55I mentioned my shoe bags earlier in the AEO section. That's a product that I sell that has a value prop. It's a simple prop but it's like, there's a washable reusable canvas shoe bag.
22:03If you are a dude and you just put your shoes in your suitcase or in your bag, it's kinda gross. Let me just solve that for you in a fashionable way you can also carry and you can easily wash. And our ads are basically solving a problem for somebody.
22:13And so those three reasons, those are three of 90% of sales are coming through one of those three reasons for a lot of these consumer products that are out there. And I'll get into dopamine and buying things to buy things in a it'll be another video.
22:24But that's the world that we exist in. And one of my next videos is gonna be the a to z of the creator economy, creator marketing, how creators make money. I think that's important to understand in this context is that brands are responsible for some of this.
22:35Creators are responsible for some of this. It's perpetuated by these conversations we have between people and people now play more of a role than ever inside our own communications. Men consume way more from men, men that look like them.
22:45Women consume way more from women. Women that they respond to their look or their vibe or their identity. There's just a bigger world out there for anyone to navigate for people to feel a kinship to.
22:53And you've heard me talk about this before in my content videos where multiplying the area level of consumption where if you want to get your message across you are if and you you should have if you look at every gender and every race, you should have one person representing that because people wanna see not just people that look like them, but people that look like what they want to see.
23:09Some people want to watch an older person give them knowledge. Some people wanna watch someone their age. Some people wanna watch someone their race, some people don't, but you wanna cover if you wanna hit your full content TAM, the total available market of content to get a message across.
23:21Then a lot of that comes down to all of these different appearances and then we multiply that by content styles. You basically have how the modern Internet works on social media. So I know I'm throwing a lot of concepts out there.
23:32And I know there's some hot button ideas inside this one more so than my usual videos, but I'm following up with that creator video where we're really gonna talk about what that expanse looks like with how you make money inside of it and how to understand what's happening in that economy and what it means for your consumption.
23:45So anyway, please, if you see things that you agree with here, you see things that you disagree with, I would love to know. We'll be talking a lot about this on next community call where I typically talk about creative strategy for making ads for products for for creators, and so this is extremely tied to that. Right?
23:56All my observations here are basically been in the name of helping brands sell more stuff as awkward as that is. And this is a scenario that was worth like walking through and understanding and workshopping now if you are in those roles because we have more data and information than ever. I appreciate you bearing with me on this one outside the box for our normal content, but I'm gonna continue exploring these harder topics because, uh, frankly, just doing tactical playbooks and stuff gets kinda boring.
24:17I hope you're here for it, and thank you so much for watching.
The Hook
The bait, then the rug-pull.
Oren opens with a blunt thesis most marketers notice but rarely say aloud: your male and female customers are scrolling entirely different internets. What follows is 24 minutes of practitioner-grade observation — from paid scroll-watching sessions to live ad account tests — reverse-engineering the two algorithm engines that now define how people feel about themselves, and what they buy to feel better.
Named ideas worth stealing.
02:25list
The Four Eras of Marketing
- Monoculture / emotion-based (sex sells)
- Search-based revolution (Amazon/Google)
- TikTok / big algorithm era
- Hyper-tailored algorithm era
Historical arc showing how targeting went from broadcast monoculture to algorithmic micro-segmentation.
Steal forAny content about the creator economy or brand strategy — solid positioning context for MCN+
12:44model
The Women's Algorithm Four-Square
- Trad/conservative
- Woke/progressive
- Sweet/innocent
- Scandalous
Content leanings the women's algo pushes — brands find their quadrant and commiserate + solve.
Steal forAudience segmentation brief for any product targeting women
14:15concept
The Quantified Man
Men's algorithms quantify their deficits daily (dating rejection, wealth gap, body comparison), priming them for aspirational purchases sold as gap-fillers.
Steal forPositioning any product to male audiences — name the deficit first, then present the product as the bridge
20:03list
Three Reasons We Buy
- Loneliness (buying tribal membership)
- Signaling / FOMO (dark tactics)
- Problem solving (genuine value prop)
Covers ~90% of consumer purchases. Loneliness and signaling are exploitation drivers; problem-solving is the healthiest and most defensible.
Steal forAny offer positioning or ad brief — diagnose which driver you're triggering before you write copy
23:10concept
Content TAM Multiplication
To hit total available content audience: each gender + race = one creator representing that segment, then multiply by content styles.
Steal forMCN+ creator recruiting strategy or any platform trying to serve a broad audience with creator-driven content
How they asked for the click.
22:43next-video
“One of my next videos is gonna be the A to Z of the creator economy, creator marketing, how creators make money.”
Soft tease + community call link. Newsletter mention at description level. No hard subscribe push.
Visual structure at a glance.
