@trix32x Doing $700k/mo myself & on behalf of clients, got a full scale team of 14 persons aswell from media buyers to VAs, let me know I could probably be a good help for this
Three types of dropshippers:
Type 1: Tests randomly, hopes for luck
Type 2: Tests systematically, learns from data
Type 3: Builds systems, scales predictably
Type 1 quits.
Type 2 survives.
Type 3 exits for 7 figures.
Your margin structure should be:
Product cost: 20-30%
Shipping: 5-10%
Processing: 3-5%
Ads: 25-35%
Profit: 30-40%
If your margins don't allow this, find a different product.
You can't scale poverty.
Monday truth bomb:
90% of "dropshipping is dead" posts come from people who:
Tested 3 products
Spent $200 total
Used terrible creatives
Had broken landing pages
Then blamed "saturation."
The game isn't dead. Your approach is.
Made $94K profit last month.
Started 2024 at $0.
The difference wasn't some secret strategy.
It was:
Consistent testing
Fast decision-making
Obsessive tracking
Ruthless cutting of losers
Discipline > motivation.
Meta's algorithm doesn't care about your brand story.
It cares about:
Click-through rate
Cost per result
Conversion rate
Time on site
Optimize for algorithm performance FIRST.
Brand storytelling comes after profitability.
Your biggest competitor isn't other dropshippers.
It's customer indecision.
They see your product, think "interesting," and scroll away.
Your job: Create enough urgency that scrolling away feels like a mistake.
That's what converting offers do.
I've tested over 200 products.
The winners all shared these traits:
Solved expensive problems ($50+)
Visual demonstration under 10 seconds
High perceived value vs actual cost
Emotional or impulse-buying trigger
Not easily found locally
Check all 5 or keep scrolling.
Real talk: Most dropshippers would 10x their results by just:
Picking 1 product
Testing for 7 days straight
Analyzing the data honestly
Making 1 change at a time
Repeating
But that's not "sexy" so they keep product-hopping.
People ask: "How do you know when to kill a product?"
My rule:
$25 spent, CPC >$1, zero ATCs = kill
$15 spent, ATC but no sales = investigate landing page
$20 spent, 1 sale at 2+ ROAS = scale budget 30%
Clear rules eliminate emotion.
Common mistake:
Testing products with $20/day budgets and expecting reliable data.
You need AT LEAST $50/day for 2-3 days to get meaningful signal from Meta's algorithm.
Underfunded tests = expensive guesses.
Brutal truth:
If you can't get a product to $100/day profitably, you won't get it to $1,000/day.
The fundamentals don't change at scale.
They just get more expensive if they're broken.
Fix the unit economics first.