We overspent the monthly budget in March.
On purpose.
When an account is running at a 14.81 ROAS on €2,116 in spend, you don't pause it.
You let it run. Here's the full breakdown 👇🏻
What most advertisers get wrong
They treat Meta ads like it’s the whole marketing game.
Bad product? Better creative will fix it.
Low ROAS? Scale harder.
They put the ads first and expect them to carry everything.
In reality, it's backwards.
Let’s check my client’s account for March.
Meta Ads case study for garden accessories brand
The client: a small garden accessories brand from Romania.
Timeframe: March 2026.
Peak spring demand for exactly what they sell. Before a single ad went live, the foundation was already there.
Products people actually want. Fast delivery. A clean, fast website.
The ads didn't create demand.
They amplified it.
Worth saying clearly: results like these aren't typical.
But in small EU markets like Romania, where the right seasonal product can dominate a niche with relatively low competition, this is repeatable.
I've seen it before. This account proved it again in March.
Campaign Structure
We ran 5 products total. Three approaches.
Here is the screenshot of the account.
Below it, I explain everything.
14 ROAS - Meta Ads Case Study | March 2026
Product 1 and Product 2 got dedicated campaigns. Both are in season in spring.
Product 1 (red in the table):
Last year's data told us it was a winner, so instead of running one campaign and calling it done, we speed-tested Meta's new ROAS goal bid strategy.
Meta Ads - ROAS Goal Bid Strategy
We ran three campaigns for Product 1 with one variable: bid strategy.
ROAS goal 9, ROAS goal 10, and highest volume.
We don't normally run this many campaigns for a single product.
But when you know from past data that something converts, you find the ceiling.
The ROAS goal campaigns won.
The best one closed the month at a 40.96 ROAS on €70 spent.
Product 2 (purple in the table):
Got a simple CBO campaign as we knew it would bring the best out of this product from past testing.
We also knew the stock is limited so we didn't allocate too much spend on it.
For the 3 key products (green in the table):
We ran one ABO campaign.
We didn't know which of the three would sell.
Similar creatives across all three. Let the market decide.
After a week, two products barely moved.
One took off.
We cut the losers, shifted budget to the winner, and ran it for most of the month.
Remarketing:
The remarketing catalog campaign ran at €10 per day the whole month.
From past experience we know every time we tried to scale it, results dropped fast.
Small audience, that's the ceiling.
So we left it alone.
€222 spent. 32.56 ROAS.
Some campaigns you protect, not scale.
The results:
Amount Spent: €2,116
Revenue: €31,337
ROAS: 14.81
POAS (Profit On Ad Spend Rate): 13.81
Purchases: 165
AOV: ~€190
PAAC (Profit After Ad Spend): €29,221
We overspent the planned monthly budget.
The returns made that an easy call every time.
What is POAS? Read here.
The one truth
You can't media buy your way out of bad product-market fit.
But when the product is right, the market is ready, and you know your account well enough to read the signals fast, Meta ads stop being a gamble.
They become a multiplier.
Know your products. Know your market. Know your account.
That's the system.
TLDR:
A small Romanian garden accessories brand.
€2,116 in ad spend. €31,337 in revenue. 14.81 ROAS.
The products were seasonal, the site was fast, delivery was solid.
The ads amplified what already worked.
One bid strategy test on Product 1 hit 40.96 ROAS.
One ABO batch identified the winning product in a week.
One remarketing campaign ran at €10/day and stayed there.
Structure the account around what the data tells you, not what you hope is true.
P.S. If you want to create high converting ads in under 3 minutes, take a look at my Canva Ads Template bundle:
