Olivia

I come from a small tiny red dot in Asia. “Every rejection is a redirection”

[Olivia @ecomsot]

$1m rev checked ✅
But nothing beats that first sale

[Olivia @ecomsot]

@gioblaze0069 yes, on bidcaps and top adset spending close to zero today

[Olivia @ecomsot]

@jameshyujinlee haha him in the water in insane i love it

[Olivia @ecomsot]

@rokhladnik What’s a good gauge to pay creators for access to partnership ads? 🤔

[ecomlj @ecomlj]

@Shopify held our funds for 2 weeks from day one.

On the day they were due to release they disabled our entire shopify payments instead.

zero warning & lost all our mrr

their reason? a misclassification of our product.

0 chargebacks. 0 disputes. Clean record.

All RTs appreciated, need eyes on this. @harleyf

[Olivia @ecomsot]

One customer emailed asking to film for us. Then another. Then another.

We stopped looking for UGC creators after that

Meta performance followed 🙂

[Olivia @ecomsot]

@jameshyujinlee @andrewjfaris @robbfraser 💟

[Alex @realAlexDJ]

I got my openclaw agent to automatically opt in email flows of competitors and funnel them to a swipe file that my email team can use as inspo. Insane utility.

RT + Comment below if you want the setup & i'll dm you the .md skill.

[Olivia @ecomsot]

@realAlexDJ Love where you're going with these agentic flows Alex 🔥

[Olivia @ecomsot]

@jameshyujinlee What softwares are you using to build this out? 😲

[Olivia @ecomsot]

@EddChalk CLOUT

[Edd Chalk @EddChalk]

My OpenClaw ships banger ad briefs while I sleep.

Production-ready briefs. Scored. Validated through a QA skill tree.

And I am going to show you how to set it up in return for a little bit of clout

Here's what's actually running while I'm asleep.

OpenClaw has a skill graph. Three AI agents connected in sequence — each one feeds the next, and nothing moves forward until it passes.

The first agent is pure research. It's scraping the Meta Ad Library pulling 5–10 active competitor ads, extracting repeating hooks, mapping visual patterns, documenting copy structures, and analysing CTA approaches (offer vs urgency vs curiosity).

At the same time it's running Golden Pain Extraction — pulling verbatim emotional language from Amazon 3-star reviews, Reddit threads, TikTok comments on competitor videos, and customer service logs. Not summaries. Exact words real customers used. Each pain gets tagged and mapped to one of the 8 Life Force drives.

Then it runs an asset audit — lifestyle product shots, founder content, UGC, testimonials, before/afters. Everything gets catalogued.

All of that gets compiled into a research document. Competitor analysis. Golden Pains mapped to LFE8. Dream outcomes. Available assets. Recommended angles.

That document feeds the second agent — the brief writer.

It builds static briefs: 3 copy variations per brief, each with Headline + Subline + CTA. Left side: 3 USPs. Right side: Feature → Benefit mapping x3. Visual direction, do's and don'ts, product URL, primary image, drive assets — all included.

It builds video briefs: 3 hook variations per brief, each broken into Text Hook + Visual Hook + Audio Hook + Why It Works.

Then 3 full timed body scripts — [0–3s] Hook → [3–8s] Setup → [8–15s] Product → [15–18s] Proof → [18–20s] CTA.

The 3-Second Formula is embedded at the writing stage. Second 0–1: Triple Stack (visual hook, text hook, audio hook firing simultaneously). Second 1–3: The Promise. Second 3–5: The Rehook.

If the structure doesn't hit those timings, it doesn't get written.

Every brief then hits the QA agent. This is where most of them die.

Validation checklist: 10 Golden Rules scored out of 10.

Minimum 7 to pass.

Score below 7? It doesn't get sent to me. It gets rejected back to the brief writer with specific fix notes.

Not a soft pass. A directed rewrite. The loop runs until it passes.

Only when a brief clears every node does it hit my Telegram.

6 production-ready briefs. 3 static. 3 video. Validated hooks. Fresh angles built from real market intelligence.

Ready for designer handoff → testing → iteration → scale.

No docs opened. No prompts written. No hours wasted.

I've scaled 50+ brands to 7 and 8 figures at MHI Media.

I mapped the full skill tree — every agent, every node, every framework, every validation gate.

Like + Repost + Comment "CLOUT" and I'll send it over.
(Follow me so I can DM you)

Screenshot not revelant but the last 30 days aint too bad.

[Olivia @ecomsot]

@mikefutia COWORK

[Olivia @ecomsot]

@oliverwhudson partnership

[Olly Hudson @oliverwhudson]

Meta reports that partnership ads deliver 19% lower CPAs and 13% higher CTRs on average vs standard brand ads.

That’s why the most advanced Meta accounts are now allocating 20–50% of spend to partnership ads as a core growth lever.

So we’ve just released our Partnership Ads Playbook (Updated for 2026) built off what we’re seeing actually scale inside Meta accounts right now.

Inside, we break down:

- Why partnership ads outperform (and why it’s not about creators or follower count)
- How Meta actually interprets identity, creative, and signals
- The creative diversity multiplier and how identity unlocks incremental reach
- Benchmarks for CPA, CTR, FTI, frequency, and what “good” really looks like
- When to use founders, team members, existing creators, or persona pages
- How to source creators using Meta’s own tools (without wasting time in DMs)
- What to brief creators so content performs and still feels native
- Exact setup flows inside Ads Manager (including dynamic identity)
- Contract terms, usage rights, and what to negotiate (so you don’t get burned later)
- A full measurement framework to know what to scale, what to kill, and when
- Real examples from brands doing this well and why they work

Want it?

Retweet this post
Comment “partnership” and I’ll send it over

[Olivia @ecomsot]

@jameshyujinlee sickkkk

[Olivia @ecomsot]

Bigger January than Nov/Dec. Did not expect that.. 2026 off to a good start :) High PM, compounding effect of high quality product + word of mouth + good reviews

Looking to try out US fulfilment ASAP!

[Peter Quadrel @Peter_Quadrel]

There's only two types of D2C brands:

1.) Aesthetic/Pleasure Based

- Fashion
- Home goods
- Cosmetics
- Some Food/Drink

2.) Solution Based

- Skincare
- Electronics
- Automotive
- Supplements

If your brand falls under 1 you're a "I see it, I like it" brand.

Your job is to test as many aesthetic designs, varieties, flavors etc. as possible, NOT to test an extreme amount of angles.

There may be some angle testing, but this is secondary to sku variety and creative testing itself.

If your brand falls under 2 chances are you're a "Problem solver" brand.

Your job is to test as many problem, solution, benefit, proof angles as possible.

Aesthetics and variety of sku are secondary here, focus all on proving the outcome.

Some straddle this line.

Even then audience segments always lean one way or the other.

So you can build out customer journeys through batches of ads in relative quantity to the segment makeup.

Develop assets accordingly!

[Olivia @ecomsot]

@ecommmoose MRR

[Elon Moose @ecommmoose]

$3,000,000/mo in subscription revenue.

Bootstrapped.

MRR is the fund.

The bigger it gets, the more you can scale.

It comes down to 4 levers:
• New customer ROAS
• Opt-in rate
• Sub AOV
• 90-day LTV

Like + RT + comment “MRR” (must follow) and I’ll DM an 8-min breakdown.

[Olivia @ecomsot]

@linhtrinh_ Testing in HV CBO while your scale campaigns are on cost controls? Heard that running HV together with cost controls are not that good no..?