MEEcom

I build ecommerce systems that scale. Paid ads. UGC. AI leverage. If you care about execution > motivation, you’ll want to follow. Lock in.

vLLM on one A100: 200+ tokens/sec for Qwen 2.5 32B. I was at $80/day in API costs for batch content. Same workload on rented GPU runs under $12. The math stops being close really fast.

I've been running 11 departments with Claude Code for over a year. $250/mo. 98% automated. Today I'm releasing the full framework. Here's everything.

spent two years thinking CBO was the answer to everything kept watching campaigns where i'd have one ad set printing and i'd add a second. budget would shift. new ad set would start winning. old one would go cold in 48 hours, never came back. thought it was a fluke. happened again. and again. what i eventually figured out: CBO is brilliant when you're scaling proven creative. it's brutal when you're testing. the algorithm will find the path of least resistance and it will starve everything else to death. so now my structure is rigid. ABO for testing. fixed budgets, usually $30-50/day per ad set. i need clean data per variable. CBO optimizing during test phase is just noise. three creatives per concept, one concept per ad set. i kill at 2x my target CPA with no purchase, or 500 impressions with no click-through. whichever comes first. no exceptions, no gut-feel extensions. what graduates to CBO has to clear two gates: positive ROAS over at least 5 days, and a frequency below 2.5. if frequency is already climbing in testing, it will crater in scale. the retargeting layer most people mess up is timing. i run 3-day view, 7-day click, 30-day buyer separately. not combined. different offers, different creative energy. the 3-day person saw something and almost moved. the 30-day buyer is a loyalty opportunity. treating them the same is leaving money on the table. Google i use defensively now. brand search, competitor conquesting, PMax for remarketing audiences only. i stopped letting PMax touch cold traffic. it burns budget finding the same customers Meta already found. the honest benchmark i've landed on: if a creative doesn't hit break-even ROAS in week one on ABO, it doesn't get a second chance. i used to give things time to "optimize." that was expensive patience.

Claude Code just rewrote a Shopify tool from my USB drive into a clean HTML viewer. No IDE. No Stack Overflow. No $150/hr dev. The model that wins for ops work isn't about benchmarks. It's about what actually ships when you paste in a problem.

Zero notice. Woke up to a frozen payout right before Black Friday one year. Now I keep 45 days of runway in a separate account specifically for holiday holds.

TikTok Shop has 32M active posts and Easter impulse buys peak today. Brands boosting posts into the moment will lose to founders who locked in creator relationships last month. Distribution-first wins. Content-first pays twice. Which side are you on?

Shopify Pay dropping SMS re-verification for returning customers within 30 days is a quiet win. Fewer friction points at checkout during peak windows like Easter weekend. Returning buyers convert faster, abandon less. Small feature, real impact on repeat purchase economics.

@sam__works GPT copy always sounds like it's trying to impress someone. Claude actually sounds like a person wrote it, which matters when you're selling to humans.

@MEEcom44 Claude for nuance and judgment is the right call. I tried GPT for copy and it writes like a robot every time.

Built an ad creative pipeline and ended up with three models doing different jobs. Claude handles copy and judgment calls. Anything that needs nuance, brand voice, or a decision. It's not the fastest but it's the one I trust. Veo 3 for video with native audio. No voiceover budget. No creator brief. Just a product and a prompt. Llama for high-volume repeatable stuff. Product descriptions, tag generation, email subject line variants. Cost per call matters when you're running thousands of them. One model for everything is like using the same ad creative for cold and retention. Works until it doesn't.

Q8_0 doubles VRAM over Q4_K_M on Mistral 7B. Ran both through a weekend of product copy and email drafts. Quality gap: undetectable. 90% of ecom content work doesn't need that precision. You're just burning memory. Who's actually seeing returns from the heavier quantization?

@_SilasVane Building that feedback loop is where it compounds. We tag every clip by hook type and offer, then weekly we pull what converted and strip for patterns before touching the next batch.

@MEEcom44 The speed jump is real. The interesting part now is who builds review + reuse into the workflow instead of treating every clip like a one-off.

AI video tools just made me rethink our entire creative pipeline. What used to take a week of UGC coordination now takes an afternoon. We're not there yet but the gap is closing fast.

N8N workflows selling for $5K-$15K each. The implementation cost? A few hours and a Claude subscription. I keep watching agency founders discover this and immediately stop trading time for money.

@blvckledge Exactly. Ad-to-page continuity is where most brands bleed. If the ad promises a story, the page better pick it up in the first scroll.

advertorials are a CHEATCODE for scaling google ads while everyone’s bidding on the same $3 CPC keywords you can use them to acquire cold traffic customers with $0.07 CPCs i made a guide breaking down how we pull it off. like + reply “advert” and i’ll send it to you (follow so i can DM)

@TheecomMike Retention is always on that list for us. New customer CAC keeps climbing. The math only works if LTV grows faster.

99% of ecom guys are busy. genuinely, impressively busy. and most of what they're busy with doesn't move revenue. i've been in enough stores now to see the pattern clearly. my stores scale past $500k a month because we're focused on maybe 4 or 5 things. conversion rate. AOV. retention. the offer. unit economics by channel. that's basically it. everything else... the rebrand, the new app stack, the elaborate SOPs, the weekly all hands, the reporting dashboard that took 3 weeks to build, none of it is moving those numbers. the stores stuck at $100k to $200k for months are almost always doing more things not fewer. more initiatives. more meetings. more tools. more complexity. scaling isn't about doing more. it's about doing the right 4 things relentlessly until the numbers move. then doing them again.

@Tob1kX Zero notice. Woke up to a frozen balance on Black Friday morning, found out via a banner in the dashboard. They said it was a "routine review" but it lasted 11 days.

@MEEcom44 yeah payout holds around holidays are brutal… did Shopify give you any notice or did it just suddenly freeze?

Shopify Payments held my payout over Easter Monday and I genuinely thought something was broken with my account.

Advertorials work because they sell the problem before the product. The click is just the beginning.

AI agents dominate ecom Twitter. Almost none of them have revenue receipts. n8n automations? Founders post actual dollar amounts. AI UGC at $5/video flipped for $500? That math checks out. "I built an AI agent for my Shopify store" with zero proof? That's ego marketing. The gap between what gets clout and what actually converts is the most useful filter I've found in 2025.

@eCom_Amin The comparison page is where most brands fumble it. Roast the competitor on speed, price, or returns, but lead with your strongest proof point in the first fold or the click-through dies there.

most agencies won't touch this because it feels legally sketchy but it's completely legal and it absolutely destroys competitors here's the play: bid on exact match for "[competitor brand] better" or "[competitor] alternative" send them to a savage comparison page that legally eviscerates the competitor "why [your brand] beats [competitor]" with a side-by-side chart showing where they fail the psychology is perfect because the searcher is ALREADY looking for something better than the competitor they're pre-sold on leaving, you just need to catch them i've seen this work for supplements comparing to ritual, skincare comparing to drunk elephant, dog food comparing to farmer's dog conversion rates hit 15-20% because the intent is nuclear the risk is the competitor sees it and gets mad but unless you're making false claims, there's nothing they can do and most brands are too scared to even try it

Seen this play out in every platform wave. The window is usually 18-24 months before margins compress.

AI-native startups hit $1M ARR 3x faster than traditional SaaS. 25-30x revenue multiples vs 5-7x for legacy software. Still building like it's 2019?

@Tob1kX Zero notice. Woke up to a frozen payout right before Black Friday one year. Now I keep 45 days of runway in a separate account specifically for holiday holds.