How we generated $570K+ in 13 days on Meta Ads with ~$16K spend (peptides, Canada + USA)
We worked with a private ecom brand in the peptide space, mainly targeting Canada (and also running in the US). No big brand, no influencers, just a clean Meta setup + strong funnel + aggressive creative testing.
In 13 days:
- ~$16K ad spend
- $570K+ tracked purchase value
- 2,000+ purchases
- ~18K add to carts
- Some ads hitting 80–110x ROAS
Yeah… I know how that sounds. I’d question it too.
What we actually did (no fluff):
1. Focused on purchases from day 1
No traffic, no engagement. Straight to purchase objective.
Let Meta optimize on real buyer signals early.
2. Simple but optimized product page
No complicated funnel.
Just:
- Clear positioning
- Strong discounts
- Urgency (stock / timer)
- Clean CTA
- Fast checkout
Simple wins.
3. Creative strategy carried everything
This was the main driver.
We tested multiple angles:
- “Too tight?” frustration angle
- “Still no change?” emotional angle
- XL → M transformation
- Confidence / lifestyle upgrade
- Skin glow (for GHK-CU)
- Cartoon problem/solution ads
Some creatives looked basic… but performed insanely well.
4. High volume testing → fast scaling
- Constant new creatives
- Separate testing vs scaling
- Kill losers fast
- Push winners hard
No attachment to ads.
5. Add to cart volume was key
We pushed over 18K add to carts.
That gave Meta strong data → better purchase optimization → higher ROAS.
6. Positioning > product
We didn’t go aggressive on “peptides”.
Instead:
- Progress
- Routine
- Confidence
- Lifestyle
Better delivery + better conversion.
7. Canada + USA performance
Canada performed extremely strong for this campaign.
At the same time, we’re running similar setups in the US market as well — and still actively scaling both markets right now, with comparable performance trends.
Final thoughts:
This wasn’t luck.
It was:
- Good funnel
- Strong creatives
- Clean structure
- Fast decisions
And letting Meta do its job with real data.
If you’re struggling with Meta right now, it’s usually not the platform.
It’s:
- Weak creatives
- Bad positioning
- Or not enough testing
If anyone wants more details, happy to share more context.
We also have full proofs/screenshots for those who are seriously interested.