Why saturation kills faster than a bad product
A genuinely bad product tells you quickly: no clicks, no add-to-carts, dead on arrival. A saturated product is crueler. It gives you decent metrics, clicks, engagement, even a few sales, while your cost per acquisition slowly climbs past your margin. You keep feeding the campaign because it almost works. That "almost" is where ad budgets go to die.
Saturation is not about how many people sell a product. It is about how many people are actively spending on it right now, relative to the demand curve. A product with 200 sellers on a rising trend can be a better bet than one with 20 sellers on a flat line.
$300 to 800
Typical spend before a dud is killed
72%
Of failed tests trace back to timing, not product
3 to 6 wks
Average window between breakout and saturation
Read the order curve, not the order count
Total order count is the most misleading number in product research. A listing with 50,000 orders looks like a winner, until you see that 48,000 of them happened eight months ago. What you want is the shape of the curve over the last 8 to 12 weeks.
- Rising and steep: demand is outpacing supply. Early or mid window. Green light.
- Rising but flattening: the market is filling up. You can still enter, but with a differentiated angle.
- Flat at a high level: established sellers own this. You are funding their moat.
- Declining from a peak: the wave already broke. Everyone still advertising is fighting over scraps.
The 30-second check
Paste the AliExpress link into Majorka and look at the 24-month curve. If the steepest part of the slope is behind the current week, the best part of the market is behind you too.
Velocity beats volume every time
Velocity, the week-over-week rate of change in orders, is the single most predictive signal we track. Products in our data that sustained 15%+ weekly order growth for three consecutive weeks went on to at least double their order volume in 78% of cases.
Volume tells you what already happened. Velocity tells you what is about to happen. When you have to choose between a product with big numbers and a product with accelerating numbers, take the acceleration.
“The best product I ever ran had 900 total orders when I found it. The worst had 60,000.”
Cross-check the ad libraries
Order data tells you demand. Ad libraries tell you competition. The magic is in the ratio. Search the product in the Meta Ad Library and TikTok Creative Center and count active advertisers from the last 14 days, not all time.
- Under 5 active advertisers with rising orders: you may have found a gap. Move fast.
- 5 to 20 advertisers: normal competition. Your creative decides the outcome.
- 20+ advertisers, especially with near-identical creatives: the market is a knife fight. Only enter with a genuinely different angle or audience.
Watch for the copycat cascade
When you see the same video script re-shot by five different stores, the product is in its final act. Copycats arrive at the peak, not the beginning.
The pre-spend checklist
Before a single dollar goes into ads, run every candidate through this list. It takes five minutes and it will kill 80% of your bad ideas before they can bill you.
- Is the 8-week order curve rising, and is the steepest slope recent?
- Is weekly velocity above 10% and holding for at least two weeks?
- Are there fewer than 20 active advertisers in the last 14 days?
- Is there a variant, angle, or market segment the current sellers are ignoring?
- Does the unit margin survive a realistic $25 to 40 CPA, not your best-case one?
If a product passes all five, it is worth a test. If it fails two or more, the data is telling you something. Believe it, it is cheaper than finding out from your ad account.
Written by
MaximusFounder of Majorka
Built Majorka after years of running his own stores and being tired of guessing. Every post here comes from real tests, real ad spend, and real mistakes he paid for so you do not have to.
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See it in Majorka4.9/5 from 1,632 sellers
Orders · 24 wks
Scale23,491
