Give the conclusion first (just remember these 3 sentences)
The ultimate goal of advertising is not to make the "proportion of advertising orders" beautiful, but to make
Absolute magnitude of natural order
Carry it up.
Within this sample window: the proportion of natural orders remains at
- 1%
, but the daily natural order increased from 30 to 193 (
+6.4 times
).
Also advertising: The gap between AI strategy and manual strategy is mainly reflected in
ACoS, ROAS, conversion rate and unit customer acquisition cost
On four hard indicators.
Why the "proportion of most asked ad orders" is actually a trap
We all know that the ultimate purpose of Amazon advertising is to leverage natural orders. For example, we usually focus on the ratio of advertising orders to organic orders, which is also the most frequent problem. This problem is extremely
"Trap"
. When the number of orders is only a few dozen, the natural order ratio may be very good, but if the total number of orders increases by 10 times, this ratio will obviously be difficult to maintain. Unless the brand effect of the product is strong enough, this article does not discuss extreme situations.
Why is this issue raised? Because we found through research that most operations are due to
"Don’t dare to spend money"
, resulting in a large number of missed organic orders. The order of magnitude of this natural order can be as much as 10 times different. The reason why we dare not spend money is because operations are always doing "local optimization" in a "small pond". The pool is too small, and no matter how you optimize it, you will only be able to enjoy yourself in a small area. The more serious consequence is that this parameter adjustment and optimization process is essentially "making noise" for the Amazon platform.
Therefore, the SP Panoramic View of Satlis gives
"Dual Engine Artifact"
：
"Bidding Engine"+"Budget Engine"
, to fundamentally solve the problem of "unafraid to spend money" in operations. For the discipline of Amazon advertising execution, you can also read two previous long-form articles: "The Incremental Traffic Shift in the Era of Massive AI Traffic on Amazon's Global Sites" and "How a New Amazon Seller Used Campaign Architecture Engine to Lift Organic Orders in 21 Days."
The ultimate goal of Amazon advertising: to leverage the absolute order of magnitude of natural orders!
Satlis advertising vs artificial advertising: 360-degree comparison without blind spots
Look at the market first: 72% of natural orders are earned by "laying down"
Statistical period for product data of a certain category: November 20-December 20, 2025. Satlis Amazon backend advertising effect:
📊 Figure 3-1 Satlis Amazon backend advertising ROAS
Let's first look at the data at two key time points. The changes can be called
horror
：
Table 3-1 The road to booming orders in 30 days: 34 orders → 305 orders
| Indicators | November 20 | (start date) |
|---|---|---|
| December 20 | (end date) | Changes |
| Total order | 34 orders | 305 orders |
| Growth 9.0 times! | Insertion Order | 4 orders |
| 112 orders | 1.0 times increase | Natural order |
| 30 orders | 193 orders | Growth 6.4 times! |
| Satlis activity count | 6 pieces | 51 |
| +45 | In 30 days, with the large-scale rollout of Satlis advertising campaigns (from 6 to 51), the product's | Total order volume increased 9 times |
! Among them, the absolute number of natural orders has skyrocketed from 30 orders per day to 193 orders per day, which is a full
increased 6.4 times
! Advertising orders grew faster (28 times), illustrating the huge pulling effect of advertising. Make the whole cake bigger!
Look at the cumulative order structure for 30 days:
Table 3-2 Product order structure for 30 days
| Core indicators | Quantity | Proportion |
|---|---|---|
| Total order | 5952 orders | 100% |
| Natural order | 4290 single | 1.1% |
| Insertion Order | 1662 orders | 1.9% |
| └─ Satlis insertion order | 1478 orders | 1.8% |
| └─ Manual insertion order | 184 orders | 1.1% |
This is a very healthy ratio, indicating that the product's natural traffic weight is very high. Behind this, the "boosting" role of advertising plays an important role. Using the SP Panoramic View 8-level structure predicted by Satlis, a large number of precise long-tail keywords can be used to hit the home page at low cost, which is very important for the promotion of LISTING. After the promotion of LISTING, Amazon will distribute more natural traffic to this link.
Dismantling of advertising contributions: Who is the "hero" and who is "holding back"?
We took apart the 1662 advertising orders and found something more interesting:
Table 3-3 AI advertising vs artificial advertising
| Core indicators | Satlis advertising | Artificial advertising |
|---|---|---|
| Gap | Advertising activities | 51 |
| 16 | Satlis is 3.2 times faster than manual work | Insertion Order |
| 1,478 orders | 184 orders | Satlis is 8.0 times faster than artificial intelligence |
| Sales | $38,545 | $4,136 |
| Satlis is 9.3 times faster than manual work | ACoS | 1.60% |
| 1.50% | Satlis is 28.9 percentage points lower | ROAS |
| 1.63 | 1.77 | Satlis is 2.05 times faster than manual work |
| Conversion rate | 1.40% | 1.70% |
| Satlis is 4.7 percentage points higher | Average customer acquisition cost per order | $7.19 |
| $12.71 | Satlis save $5.52 per order | To be more intuitive, look at the pictures and speak: |
📊 Figure 3-2 Comparison of AI advertising vs manual advertising data
1 - ACoS is cut in half and ROAS is doubled!
These are the two most intuitive indicators.
ACoS (Advertising Cost to Sales Ratio)
: The lower the better. The ACoS of artificial advertising is close to 60%, which means that if you spend 100 US dollars in advertising fees, you can only get 167 US dollars in sales, basically making no money. The ACoS of Satlis only has
- 60%
, very healthy level.
ROAS (return on advertising investment)
: The higher, the better. The ROAS of Satlis is
- 63
, which means that if you spend 1 US dollar in advertising fees, you can get 3.63 US dollars in sales. However, artificial advertising is only 1.77, and the gap is clear at a glance.
In one sentence: Use Satlis to double your advertising profitability!
2 - Higher conversion rate and lower customer acquisition cost!
Just looking at ACoS is not enough, we have to look at the "quality" of advertising.
Conversion rate
: Satlis conversion rates are as high as
- 43%
, while manual advertising is only 10.73%. This means that for the same 100 clicks, Satlis can bring 15 orders, while manual work can only bring 10.
CPA (average customer acquisition cost)
: Every time Satlis obtains an order, it only costs
$7.19
advertising fees. Labor costs $12.71, which is nearly twice as expensive!
In a word: The customers found by Satlis are more accurate and more willing to place orders!
The "dilemma" of artificial advertising: the harder you work, the more sad you become
Let's take a look at the 16 artificial advertisements (advertising campaign name desensitization). ACoS is scarier than the last:
❌ P01-ABA-Exact-R1-GP01：
ACoS: 649.9%
❌ P01-ABA-LP-Verify-R1-GP02：
ACoS: 301.8%
❌ P02-Auto-L1-R1-GP03:
ACoS: 116.5%
❌ P01-Auto-L1-R1-GP04:
ACoS: 115.3%
This proves a cruel reality: in the face of Amazon's AI algorithm, people's "refined operations" often just move their own
"Invalid effort"
.
Conclusion: Satlis used 82% of the budget and contributed 89% of the advertising orders;
Manual advertising spent 18% of the budget and only received 11% of the orders.
Obviously, Satlis is the absolute main force in advertising orders.
"hero"
; Manual advertising is inefficient and has become
"Delay"
's.
Underlying reason: How does Satlis leverage natural traffic?
Advertising type effect analysis: "money power" of AI prediction
Satlis adopts an 8-level advertising structure. Different types of advertising groups show differentiated performance. Look at the pictures to speak:
📊 Figure 4-1 Satlis order contribution ranking of each advertising type
ps: 57 orders are from automatic advertisements recommended by Satlis, which are not included in the advertisement types of Satlis.
Ad type analysis insights
1 - Keyword ads (super/high potential/high competition keywords):
Total contribution
1,118 orders
Orders, accounting for 75.6% of Satlis's total orders
ACoS is stable in the 25%-28% range, with the highest efficiency
is the absolute main force in Satlis advertising
2 - ASIN fixed investment ads (super/high competition/high potential ASIN):
Contributed a total of 254 orders, accounting for 17.2%
ACoS is slightly higher than the keyword category, but still far lower than manual advertising
Suitable as a supplement to keyword advertising
3 - Super high probability words:
Although ACoS is high (60.2%), the purpose of this type of advertising is to quickly test and verify
49 single orders may contain the exploration cost of a large number of new words
Re-emphasis on the long-tail "big pond" theory and advertising discipline
Why can Satlis bring more advertising orders at a lower cost and eventually detonate natural traffic?
Because it does three things right:
- Build broad coverage, then let the structure filter winners
Satlis uses layered ad groups such as "super keywords" and "high-potential ASINs" to test a large set of verified terms at the same time. That approach captures both competitive head terms and overlooked long-tail search terms. Many of those long-tail terms have lower volume, but they often convert more cleanly and help the listing earn stronger organic placement over time.
- Scientific pricing, no guessing
Satlis's bid is not based on human "guessing", but is based on the "neural network" prediction model to calculate the most scientific "unified bid" for each ad group. This avoids the "noise" caused by manual price adjustments and allows the Amazon algorithm to learn and converge more stably.
- Execute in a disciplined manner without shaking hands
AI has no emotions and strictly enforces the iron law of "closed if no orders are placed after high clicks". This ensures that every penny is spent wisely, quickly eliminating invalid traffic and focusing the budget on efficient keywords. When a Listing has a large number of efficient keywords that bring continuous conversions, Amazon will determine that it is a "good product" and give it more natural traffic tilt.
This is the underlying logic of "advertising leverages natural traffic":
Massive and efficient advertising traffic
↓
Improve Listing conversion rate and BSR ranking
↓
Amazon algorithm gives more organic exposure
↓
Get more organic orders
This is a
Forward flywheel
. Satlis is the most powerful engine that starts this flywheel.
📚 Strongly recommended to read
Two 10,000-word long articles deeply dissect Amazon's traffic "incremental" dividends in the era of large-model AI:
"The Incremental Snatching War in the Era of AI Massive Traffic on Amazon's Global Sites"
"How a new Amazon seller used Campaign Architecture Engine to lift organic orders in 21 days."