Simplr Intelligence

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Simplr Intelligence

Simplr Intelligence

@Simplrintel

People buy off emotion, NOT logic. We find that emotional “buy” moment. Based in San Francisco | Backed by EF

San Francisco, CA Katılım Ocak 2026
9 Takip Edilen52 Takipçiler
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
We built the worlds FIRST affordable neuromarketing platform... See how peoples brains react to your content -improve creative testing workflows -iterate content for specific goals -deep neurological insights into customers Try For Free - simplrads.com
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Codie Sanchez
Codie Sanchez@Codie_Sanchez·
You don’t need to build the next J.A.R.V.I.S. You need to build useful tools to make businesses more efficient (data from @replit):
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
Add #37: AI ad creative for SMBs. Average DTC brand burns $40K/mo on Meta. Most of that gets killed by slow creative iteration, not bad targeting. When cost-per-iteration drops to ~$0 the math breaks open. x.com/gregisenberg/s…
GREG ISENBERG@gregisenberg

The 36 BIGGEST startup opportunities right now 1. biggest b2c: solving loneliness. third spaces, community apps, IRL 2. biggest b2b: managed AI employees for businesses 3. biggest overlooked: elder tech. 70 million boomers who want products that make them happier & healthier 4. biggest mobile: action apps that do things, not apps you stare at 5. biggest trades: matching platforms for electricians, plumbers, HVAC. supply shrinking 6. biggest consumer social: small social. group chats as products, no feeds, no ai slop 7. biggest ecommerce: agents that recommend products you'll like, shop, buy for you 8. biggest creator: live shows and unscripted content 9. biggest edtech: AI tutors that adapt through conversation 10. biggest SaaS: pay-per-outcome pricing 11. biggest auto: AI service advisor for dealerships. answers the same 15 questions 24/7 12. biggest talent: training non-technical people to operate agents 13. biggest boredom: curated offline experiences delivered to your door. kits, games, challenges. anti-screen products 14. biggest spiritual: the need for belonging is exploding, new formats of spiritual get togethers 15. biggest wellness: longevity biomarkers you actively manage 16. biggest mobile: action apps that do things, not apps you stare at 17. biggest one to solve ai slop: digital verification that you're a real human. every platform will need this within 2 years 18. biggest infrastructure: agent permissions, security, audit trails 19. biggest media: AI native media companies. build distribution, sell products later. 20. biggest parenting: family ops automation. forms, scheduling, logistics 21. biggest accounting: bookkeeping agents that charge per transaction 22. biggest fashion: brand-owned resale. every brand wants to control their secondary market 23.biggest hobbies: adult learning for joy. pottery, woodworking, drawing. 24. biggest skincare: at-home diagnostics. scan, get a protocol, track progress 25. biggest agriculture: precision farming tools for small farms. enterprise version exists, family farm doesn't 26. biggest pest control: subscription pest prevention instead of reactive treatment. the model flip that lawn care already made 27. biggest regulated: on-device AI. healthcare, legal, finance open up when data stays local 28. biggest gaming: AI characters with real memory and relationships 29. biggest dating: agent-mediated matchmaking 30. biggest fitness: adaptive coaching that rewrites your program daily 31. biggest travel: autonomous trip planning and rebooking 32. biggest food: personalized nutrition based on blood work and gut biome 33. biggest pet: health monitoring. $140B industry, almost no tech 34. biggest defense: AI-native security and compliance tools 35. biggest robotics: physical AI. $30 brains on existing hardware 36. biggest nostalgia: products that feel analog. vinyl, paper, handmade. counter-positioning against AI everything

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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@gregisenberg Skills win over prompts because they compose. Replaced an 800-word ad-ops prompt with 4 chained skills last month, output quality jumped ~30% and onboarding new ops people went from days to an hour. Stack matters.
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
How to make really good Claude skills (clearly explained in 42 seconds)
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@garyvee Collectibles brands are one of the easiest paid social plays right now. Nostalgia + creator UGC pulls 4-6x ROAS at sub-$15 CPMs on Meta. Almost nobody in the category is running creator content well yet.
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@AlexHormozi Also: every paragraph starts with 'However,' 'Moreover,' or 'Furthermore.' Once you see it you can't unsee it.
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Alex Hormozi
Alex Hormozi@AlexHormozi·
How to know if something is written with AI: it spends nine paragraphs telling you what it isn't.
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@gregisenberg Missing one: AI ad creative for SMBs. Average DTC brand burns $40K/mo on Meta, and most of that gets killed by slow creative iteration, not bad targeting. Cost-per-iteration dropping to ~$0 reshapes the unit economics completely.
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
The 36 BIGGEST startup opportunities right now 1. biggest b2c: solving loneliness. third spaces, community apps, IRL 2. biggest b2b: managed AI employees for businesses 3. biggest overlooked: elder tech. 70 million boomers who want products that make them happier & healthier 4. biggest mobile: action apps that do things, not apps you stare at 5. biggest trades: matching platforms for electricians, plumbers, HVAC. supply shrinking 6. biggest consumer social: small social. group chats as products, no feeds, no ai slop 7. biggest ecommerce: agents that recommend products you'll like, shop, buy for you 8. biggest creator: live shows and unscripted content 9. biggest edtech: AI tutors that adapt through conversation 10. biggest SaaS: pay-per-outcome pricing 11. biggest auto: AI service advisor for dealerships. answers the same 15 questions 24/7 12. biggest talent: training non-technical people to operate agents 13. biggest boredom: curated offline experiences delivered to your door. kits, games, challenges. anti-screen products 14. biggest spiritual: the need for belonging is exploding, new formats of spiritual get togethers 15. biggest wellness: longevity biomarkers you actively manage 16. biggest mobile: action apps that do things, not apps you stare at 17. biggest one to solve ai slop: digital verification that you're a real human. every platform will need this within 2 years 18. biggest infrastructure: agent permissions, security, audit trails 19. biggest media: AI native media companies. build distribution, sell products later. 20. biggest parenting: family ops automation. forms, scheduling, logistics 21. biggest accounting: bookkeeping agents that charge per transaction 22. biggest fashion: brand-owned resale. every brand wants to control their secondary market 23.biggest hobbies: adult learning for joy. pottery, woodworking, drawing. 24. biggest skincare: at-home diagnostics. scan, get a protocol, track progress 25. biggest agriculture: precision farming tools for small farms. enterprise version exists, family farm doesn't 26. biggest pest control: subscription pest prevention instead of reactive treatment. the model flip that lawn care already made 27. biggest regulated: on-device AI. healthcare, legal, finance open up when data stays local 28. biggest gaming: AI characters with real memory and relationships 29. biggest dating: agent-mediated matchmaking 30. biggest fitness: adaptive coaching that rewrites your program daily 31. biggest travel: autonomous trip planning and rebooking 32. biggest food: personalized nutrition based on blood work and gut biome 33. biggest pet: health monitoring. $140B industry, almost no tech 34. biggest defense: AI-native security and compliance tools 35. biggest robotics: physical AI. $30 brains on existing hardware 36. biggest nostalgia: products that feel analog. vinyl, paper, handmade. counter-positioning against AI everything
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
More AI agent observations below (I keep adding to the list): 1. Hermes agents write to their own memory after every task. Which means starting today versus starting in 6 months is an unfair advantage for you. 2. We're maybe 12 months from an agent that can watch you work for a week and then do your job without any instructions. The screen recording plus agent memory plus local model combination makes this possible right now 3. The real reason local models matter for founders: you can ship a product where the AI runs entirely on the customer's device and you never touch their data. Zero privacy concerns. Zero server costs. Zero compliance headaches. That changes which industries you can sell to overnight. Healthcare, legal, finance, all the regulated verticals that won't send data to the cloud just opened up. 4. Every company needs to be rebuilt as a "second brain" before agents can be useful. That means every process, every decision, every piece of institutional knowledge has to exist in a format an agent can read. Most companies have none of this. 5. Agent costs are the new headcount. Won't be crazy for companies to spend 50%+ of their total headcount cost on tokens. 6. Agents are accidentally creating internal competition at companies. The marketing agent and the sales agent are optimizing for different metrics and working against each other without anyone realizing it. It took humans decades to develop cross-functional alignment. Nobody thought about it for agents. 7. The YAML config file is becoming the new org chart. Who reports to who, what permissions they have, what tools they access, all defined in a config file. The company's structure is literally a file you can version control, fork, and deploy. That's new. 8. The first agents that can smell a scam are going to be worth billions. Right now agents will happily wire money to a fake invoice because it matched the format. The trust layer is completely missing. 9. We're about to find out that most "expertise" was actually just memory. Knowing the tax code. Knowing the case law. Knowing which supplier charges what. When an agent holds all of that in context, the expert's value shifts from "I know things" to "I know which things matter." Much smaller group of people. 10. We're all running the same models. The differentiation is in what you feed them. Two founders with the same agent, same model, same tools will get wildly different results based purely on the quality of their knowledge base. Garbage context in, garbage output out. Forever. 11. The most underbuilt category in AI right now: agents for old people. 70 million boomers who need help with medical forms, insurance claims, and appointment scheduling. 12. Agent latency is the new page load speed. If your agent takes 45 seconds to respond, your customer already switched to one that takes 13. Skills files are the new apps. A SKILL.md that tells an agent how to do one thing well is more valuable than a SaaS subscription that does the same thing behind a login screen. 14. AI hardware... how do you create devices that are good businesses that people want? It'll be a $30 dongle you plug into existing dumb devices to give them an agent brain. Smart toaster doesn't need to be built from scratch. It needs a $30 brain attached to a $15 toaster. 15. Your agent can read faster than you can think. The bottleneck in every agent workflow is now the human approval step. We're the slow part. That's a strange thing to sit with. 16. Agents made the 80/20 rule violent. The 20% of work that matters is now the only work humans do. The 80% just disappeared. Entire job descriptions were hiding inside that 80%. 17. The thing I keep coming back to: the best businesses right now are being built by people who are just slightly ahead of their customers. Not 10 years ahead. 6 months ahead. That's the sweet spot. Far enough to lead. Close enough to be understood.
GREG ISENBERG@gregisenberg

My 30+ observations on the greatest opportunities in AI agents right now: And some ideas that are keeping me up at night. 1. The new buyer on the internet is an AI agent. Imagine billions of new customers showing up with money to spend but they only shop via MCP. That's what's happening. No MCP server means you're invisible to the fastest growing buyer on the internet. 2. Every franchise system in America (30,000+) needs an agent layer and none of them have one. One founder per franchise vertical. That's 30,000 businesses waiting. 3. Everyone said "distribution is the only moat" a year ago. Now I'd add that the only moat is distribution plus memory. The company that has your audience AND your agent's accumulated context is impossible to leave. 4. Consumer mobile is more interesting than it's been since 2012. Apps can finally DO things for you instead of showing you things. The next wave of $100M apps are being built right now. 5. The most interesting startup nobody has built is an agent marketplace where you rent access to someone else's trained agent. A recruiter spent 6 months training a sourcing agent on healthcare hiring. That agent is worth renting to every other healthcare recruiter on earth. The agent itself becomes the product. 6. A sorta strange phenomenon that's happening right now is agents are developing preferences. Give the same agent the same task 100 times and it starts developing patterns in how it approaches it. Nobody is studying this yet. But the agents that develop good patterns are worth more than the ones that don't. That's a new kind of asset. 7. Dead internet theory is about to become dead SaaS theory. Half the apps you use will quietly replace their support team, their onboarding team, and their content team with agents. You won't notice for months. Then you'll realize you haven't talked to a human at that company in a year. 8. The most valuable data in the world right now is sitting in the support tickets of small or mid tier SaaS companies. Every ticket is a customer telling you exactly what to build next. Mine this. 9. The most interesting pricing problem nobody has solved is how do you price a product when your costs change every time OpenAI or Anthropic updates their model pricing? Your margins can swing 40% overnight based on a decision made in San Francisco. The company that builds dynamic pricing infrastructure for agent-based businesses solves a problem every AI company has. 10. The best AI products feel like they're reading your mind. The worst ones feel like filling out a form with extra steps. 11. An interesting arbitrage I've noticed lately is hiring a human VA for $20/hour to supervise an AI agent that does $200/hour work. The human just checks the output. 12. The managed AI agent business is becoming the new agency model. $5k/month per client. You build it, run it, maintain it. The client gets a digital employee they never have to think about. This will be a $50 B+ category. 13. The first "shadow agent" scandals are about to drop. Employees running personal agents on company infrastructure without telling anyone. Using company API keys. Agents accessing internal docs. IT departments have little visibility into this right now. Lots of opportunity to build companies here. Definitely a painkiller not a vitamin type of business. 14. Right now there are probably millions of agents running on autopilot that their creators forgot about. Still burning tokens. Still sending emails. Still scraping websites. Still costing money. The "find and kill your zombie agents" tool is a product that writes itself. 15. Companies are starting to hire based on someone's agent portfolio instead of their resume. "Show me 3 agents you built that are running right now." It's REALLY early but it's starting. 16. Your Slack archive is a product. Every company's internal Slack has thousands of messages explaining how they actually do things. The company that lets you point an agent at your Slack history and auto-generate SOPs and agents from it will be enormous. 17. We're watching the cost of intelligence fall faster than the cost of distribution. Which means distribution is now the expensive thing. 18. The most underrated asset a human can have in 2026: the ability to sit in a room with another human, make eye contact, and have a real conversation. As AI handles more of the transactional stuff, the humans who can do the relational stuff become disproportionately valuable. The soft skills people used to dismiss as fluffy are becoming the hard skills. The hard skills people spent decades acquiring are becoming the soft ones. 19. There are MANY huge companies to be built around the fact that most people's agents are running on their personal laptops which they also use to browse the internet, check email, and download random files. The attack surface is enormous. One compromised Chrome extension and your agent's API keys, customer data, and workflows are exposed. 20. There's a new type of burnout forming that doesn't have a name. It's not from working too hard. It's from context switching between human work and agent work 50 times a day. Reviewing agent output, correcting it, approving it, reviewing again. The mental load of supervising agents is different from the mental load of doing the work yourself. Some founders are telling me they were less tired when they did everything manually because at least the cognitive pattern was consistent. 21. The cheapest form of market research: search "[your industry] spreadsheet template" on Google. Whatever people are tracking manually is your product. 22. Half the YC companies pivoted within 8 weeks of demo day. Not because they failed. Because agents let them test 5 ideas in the time it used to take to test one. The concept of "committing to an idea" is dissolving. Serial pivoting is becoming the default because 1) AI lets you move fast 2) the world is moving fast. 23. The loneliest job in tech right now is being the only person at your company who understands what the agents are doing. You can't explain it to your boss. You can't hand it off to a colleague. If you leave, everything breaks. You've become a single point of failure for an entire automated system. That person needs a title, a team, and a backup plan. Most companies haven't figured this out yet. 24. Your browser history is the most valuable training data you own and you're giving it away for free. Every site you visit, every product you research, every competitor you study, every pricing page you screenshot. That behavioral data, structured and fed to an agent, would make it understand your business better than any onboarding call. The company that lets you turn your browser history into agent context builds something nobody can replicate. 25. Everyone is building AI wrappers. Nobody is building AI unwrappers. The tool that takes an AI-generated document and tells you which parts a human wrote and which parts were generated. 26. Stripe just became the most important company in the agent economy and they barely had to do anything. Every agent that sells something needs Stripe. Every agent that buys something needs Stripe. They're the payment rail for the entire agentic internet by default. 27. The most undervalued API in the world right now is the US Postal Service address verification API. It's practically free. Every local business lead gen agent needs it. Every real estate agent needs it. Every direct mail agent needs it. Boring government infrastructure is quietly becoming the backbone of agent-native businesses. 28. The concept of "business hours" is for humans. Your agent closed a deal in Tokyo at 3am, processed the payment, sent the onboarding email, and updated the CRM before your alarm went off. 29. What happens when agents start recommending other agents? Your research agent finds that a competitor's sales agent is better and suggests you switch. Agent referral networks are forming organically. The first agent affiliate program is probably 6 months away. 30. Cal dotcom closed their source code. That's the canary. When open source companies start closing up, it means agents were cloning their product too easily. Every open source company is quietly asking the same question right now. 31. "AI for pet groomers" sounds like a joke and that's exactly why it will work. 150,000 of them in America. Zero tech. All scheduling by phone or IG DMs. The joke ideas always win. 32. The thing that will seem most obvious in hindsight: we spent 2025-2026 arguing about which model is best while the entire value was in the orchestration layer. The model is the CPU. Nobody buys a computer based on the CPU anymore. They buy it based on what they can do with it. Makes so much sense in hindsight. What else will be obvious in hindsight? I'll share more notes soon. I can't sleep with all that's going on. Maybe you too. What an incredible time to be building.

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Simplr Intelligence
Simplr Intelligence@Simplrintel·
550 AI videos/day looks great on the dashboard. Watch the CAC curve at week 3. Pure AI UGC wins CTR week 1 and bleeds conversion by week 3 — audiences clock the uncanny faster than ad ops admits. Human creator + AI variants is the only combo that holds.
Cas.Fyn@FynCas

Claude = 550 videos/day Fully realistic UGC ads — cinematic lighting, natural human motion, clean pacing — powered by AI agents. - UGC cost: $0 - Production time: minutes - Scale: instant One AI engine that creates, tests, and scales short-form ads automatically — nonstop. Comment + RT “V2” and I’ll DM you the full workflow. (Must be following)

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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@FynCas Volume isn't the bottleneck — distinction is. Tested 80 AI-only UGC ads vs 80 creator+AI variants. AI-only won CTR week 1, lost conversion by week 3. Audiences clock the uncanny faster than ops admit.
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Cas.Fyn
Cas.Fyn@FynCas·
Claude = 550 videos/day Fully realistic UGC ads — cinematic lighting, natural human motion, clean pacing — powered by AI agents. - UGC cost: $0 - Production time: minutes - Scale: instant One AI engine that creates, tests, and scales short-form ads automatically — nonstop. Comment + RT “V2” and I’ll DM you the full workflow. (Must be following)
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@indexsy #1 is the truth nobody admits, but bid caps amplify whatever creative you ship. Run them with tired UGC and you scale waste 3x faster. Need fresh hooks every 72h or the algo eats your gains by week 2.
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Jacky Chou (buying online businesses up to $1m)
a $100M founder told us his exact meta ads strategy on mic and my CPMs dropped 50% the same week. here's everything we covered: 1. bid caps are the meta ads cheat code nobody talks about. set your budget to something insane like $1M/day and your bid cap to the max CPA you'll accept. it signals to zuck you've got big balls and opens up the entire auction. my CPMs dropped 50% overnight and I went from burning cash at $1K/day to printing at sub 2 ROAS. if you're raw dogging meta with no bid cap you're lighting money on fire. 2. the $500/week creative team hack. post a job on upwork, get 50 replies, filter to 10 decent ones, pay each $50 for a paid test project. 7 will suck, 3 will be great. you just hired a full ad creative team for $150 in test costs. they care about their star rating so if they bomb you just ask for a refund. tom's pumping out 10-15 ads per week with this setup. 3. AI avatars are replacing UGC creators but most people are doing it wrong. don't just tell chatGPT "generate a girl in a park" — it looks AI as hell. screenshot a viral tiktok, feed it to chatGPT image gen, ask it to keep the same background and lighting but change facial features and clothing. the ads that convert are the ones you can't tell are AI. 4. I'm making $50K/mo from one SEO page. ranked for a top keyword in my industry, sold the #1 spot to a competitor for $14K/mo, put myself at #2, and filled slots 3-8 with affiliate offers pulling $5K/mo. plus $30K/mo from my own offer. one page. purely organic. 5. hire from pakistan. not a joke. $100/page shopify devs that are cracked. entire teams doing cashflow management. the philippines got complacent — pakistan and bangladesh are the new alpha. train them with claude, throw them in the deep end, and they'll 10x output because they have zero ego about using AI. 6. the best heuristic for teaching anyone AI: don't think, just ask. outsource your thinking but never outsource your knowledge. your VA doesn't need to be smart — they need to follow instructions and not have ego about asking a machine for answers. that combo beats a $150K/yr employee who "prefers to think with their brain." 7. AI layoffs are just starting. coinbase drama. cloudflare cut 2000 citing AI directly. the dream job kids — CS degree, S&P 500 company, mid six figures with options — they're the ones getting cut first. meanwhile landscapers, barbers, and locksmiths are thriving. tom is bullish on businesses that require hands. ep 4 of NGMI with @itstonyyu and Tom Wang watch/listen ↓
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@gregisenberg #6 is the killer. Running separate agents for Meta vs TikTok means each optimizes for its platform's vanity metric, not cross-channel ROAS. The fix isn't more agents — it's one objective function ruling them all.
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@AlexHormozi Same tell in AI-written ad scripts: nine features listed, zero reason a human would care. The UGC creatives that actually convert say one thing and shut up.
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
Ran @MagicPathAI launch video through our neural analysis tool. Here's how it stacks up...(results in thread) Visual pull - 78 Text signal - 75 Highest emotional engagement - 11s Buy moment - primary 11s, secondary 60s Reward signals - 9s and 1.29s Actual result in thread.
Pietro Schirano@skirano

Introducing MagicPath 2.0. MagicPath is now a multiplayer canvas for humans and agents like Codex or Claude Code to design and build with AI. Use your codebase, grab data from anywhere, and see the agents work in real time as a team while building fully functional prototypes.

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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@brian_blum1 Oh nice okay, me too. I just always have to warn people that it’s not as easy as they think to poach a top affiliate, and retain them.
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Brian Blum
Brian Blum@brian_blum1·
@Simplrintel Yeah I’ve personally produced $100m+ TikTok shop revenue since 2024 So am aware, thank you
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Brian Blum
Brian Blum@brian_blum1·
My vision is simple: Build a army of creators And use that to amplify my own brands. They will understand virality + conversion We will launch on TikTok Shop Hit first 20m views/month Launch on Amazon Repurpose all winners to Meta Steep intro DTC subscription offer World Class retention + onboarding flow Sticky, routine building products Emphasize benefits of consistent use Maximalist branding and aesthetics IRL community & events for customers Launch in retail Drive trial of new SKU's thru TikTok Shop Sell to strategic. Will revisit this tweet in 4 years
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@AlexHormozi Same truth for brands. Customers can find your tone abrasive and still buy because the product outperforms. Most marketers chase 'likeable' first. Unkillable brands earn 'don't bet against them' through obvious utility. Likeability is the lagging indicator, not the lead.
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Alex Hormozi
Alex Hormozi@AlexHormozi·
You want to be the type of person that despite people’s feelings about you, they don’t want to go against you.
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Simplr Intelligence
Simplr Intelligence@Simplrintel·
@Codie_Sanchez Same in ad ops. Best operators disappoint clients day 1 with realistic CPA forecasts. The ones who promise '4x ROAS in 30 days' churn by day 90. Honest constraints earn longer retainers than optimistic projections. What client request do you say no to most?
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Codie Sanchez
Codie Sanchez@Codie_Sanchez·
You have to practice the muscle of disappointing people. It’s the only way to win in life and not be miserable.
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