Sam Piliero
1.3K posts

Sam Piliero
@SamPiliero
Founder @ The Moonlighters | 🚀 Helping Ecom Brands Scale from 7-Figures to 8-Figures ✨ | Paid Ads |
New York, USA เข้าร่วม Aralık 2022
290 กำลังติดตาม897 ผู้ติดตาม
ทวีตที่ปักหมุด

@nicktheriot_ The machine that runs a giant realtime auction for millions of brands across billions of users is better at placing ads than me?
Can't be.
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Update: My CBO creative testing campaign is crushing. 30% lower CPA in just 2 days.
Here's the setup for anyone who missed it:
→ CBO instead of ABO for testing
→ Every ad set gets a min spend limit of $50-100
→ Total campaign budget of $1,500
→ One angle per ad set
The difference between this and an ABO is simple.
→ Min spend limits make sure every ad set gets a fair shot
→ But Meta decides where the real budget goes unlike an ABO
→ You're not forcing money into underperformers anymore
Two days in and CPA is already 30% lower than the old ABO testing setup. Same ads. Same angles.
Just a different campaign structure.

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@jordanhaswings Break out retention. Do not throw it all in one. And yes have a few brands spending ~50-100k
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@DTCMidas This plus breakout retention. Been doing this exact way for 5 years.
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this account right now only has 1 cbo
testing: 1 adset per new concept + add min spend to adset
scaling: increase cbo budget by 25-30% everyday as long as previous day was above target and last 3 days combined were above target
Auke-Jan@ecomAJb
@DTCMidas What is your testing / scaling strategy with Meta?
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Another day another industry erased.
Anvisha@anvisha
We raised $7.5M to kill AI slop. Introducing Moda: the world's first design agent with taste. RT+ comment “Moda” and we’ll design your brand for FREE.
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Sam Piliero รีทวีตแล้ว

@KevMcGivernArt @codyplof I would still group this into one CBO personally. Let meta decide what's best but at least target separately with a bit of guidance. The interest is no longer dead set like 3-4 years ago. It's just the starting point for the audience.
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@SamPiliero @codyplof Thanks! Good to know. Most of the advice out there is keep targeting broad and let creative do the targeting…..which doesn’t seem to be working.
I assume a separate campaign for each team work best?
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Does anyone have experience splitting things out on Meta to reach new audiences successfully?
Whether it's new ad accounts, pixels, or custom conversions. I would love to talk to people who seen success with this that is proven.
I have the theory Meta sucks at reaching new audiences when one environment has a lot of data on one audience but haven't been able to prove it out.
DMs very open.
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@KevMcGivernArt @codyplof Yes. One of the best use cases for sure. And be VERY direct in your ad copy + image + video about WHO you are targeting
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@SamPiliero @codyplof Hey Sam, my brand releases drops around different football teams. With broad targeting, meta seems to be stuck on previous teams audience. Do you recommend each drop should have narrow interest targeting of the particular team?
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Claude Code + Nano Banana 2 is f*cking cracked 🤯
I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2.
One brand name + one URL = 40 production-ready static ads.
All inside Claude Code.
I took @alexgoughcooper's brilliant framework and automated the whole thing inside Claude Code.
Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva.
If you're finding winning ad concepts on Meta and manually recreating them one at a time in Higgsfield — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing...
This system eliminates the entire loop:
→ Give Claude a brand name and URL
→ It researches the brand's fonts, colors, packaging, and photography style
→ Builds a Brand DNA document from scratch
→ Fills in Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details
→ Fires every prompt to Nano Banana 2 with your product photos as reference
→ Downloads finished ads into organized folders with an HTML gallery
No Higgsfield.
No manual prompt filling.
No copy-pasting between tools.
What you get:
→ 40 ad formats filled with your exact brand colors, fonts, and copy
→ 4 variations per format so you pick the best output
→ Product photos passed as reference so the model matches your real packaging
→ A reusable system — new brand, new folder, same pipeline
Built 100% in Claude Code with Nano Banana 2.
I put together a full playbook & Loom video showing the exact process to set this up yourself.
Want access for free?
> Like this post
> Comment "NANO"
And I'll send it over (must be following so I can DM)
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