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Four AI roles split the work - bidding, keyword curation, budget allocation, and verification. Orchestrated by GPT-5.4. Flat monthly pricing.
Iris Japan case - 7.19 ROAS (Dec 2025), +123% in three months, ACoS down 55%.
Agency retainers
Human labor every month
Every round of optimization adds time, cost, and coordination.
Spend-linked tools
Fees rise with ad spend
The more you spend on ads, the more the software tends to charge.
ARCTAVIA
A flat-fee AI ops team
Supervision, proposal drafting, and verification in one operating loop.
Start with Google
No credit card. The 30-day trial starts when you connect Amazon Ads.
Why we built this tool
This happened over and over while I was running my own seller account and my mother’s. I was not angry at the bidding tool we used at the time. I thought it was working. This was simply what “working” produced.
01
The tool keeps lowering bids to protect target ROAS. Eventually your ads are no longer showing anywhere that matters. Sales stay at zero. You could call that efficient. It is also a very clean way to sell nothing.
02
Clicks come back, which feels great for about a day. Then you notice heavy spend flowing into losing queries and weak traffic. To recover, you go back campaign by campaign and tighten everything by hand. There goes the weekend.
03
Because the tool keeps rewarding only the last 30 days of proof, spend piles into the same small set of winners. New keywords get cut before they are really tested. A year later CPC is up, and ROAS is somehow worse.
Why this happens
Most bidding tools decide with almost one signal: how today’s performance compares with target ROAS. That is like running an HVAC system from one thermometer and only two settings, 0% or 100%.
On average days, it feels fine. Occasionally you freeze or boil.
“Zero clicks out of nowhere” and “margin suddenly cut in half next week” are not random bugs. They are what this design naturally produces.
A more exact description is a linear bid adjustment driven by the gap between recent CVR and target ROAS. It is simple to explain, and simple systems break in simple ways.
How ARCTAVIA is built
We broke “hit target ROAS” into four layers. Each layer watches a different signal. If one starts drifting, another one catches it before the account runs off a cliff.
Bids are not driven by one metric. They are shaped by 84 signals including daypart, weekday, seasonality, inventory pressure, and competitive density.
Treats symptom 1: bids do not collapse into a local optimum with no delivery.
We do not kill keywords just because recent history looks bad. We reserve structured room in the monthly budget to retest them under better conditions.
Treats symptom 3: the account does not get trapped in the same tiny set of proven terms.
After a change is made, we check whether it actually worked with posterior inference. That separates repeatable lift from lucky noise.
Treats symptom 2: runaway bidding gets challenged before it can stay loose for days.
A higher layer watches the first three together and stops the “each local change is logical, but the whole account is going wrong” pattern.
One of the four systems is there to watch the other three.
This is not automation in the lazy sense. It is four independent sets of eyes reviewing the same problem from different angles every day.
What humans do as overtime, AI does as baseline.
Most tools automate one task and call it AI. ARCTAVIA prepares the full ad ops review workflow - bidding, keyword curation, budget allocation, and verification - across four specialized AI roles.
They do not take breaks. They keep the approval queue moving with clear reasons and draft actions.
Bidding
Prepares bid review drafts from 84 decision signals
Keyword curation
Gives weak keywords up to four rehab windows, amplifies risers
Budget & timing
Prepares rebalance recommendations across hours, days, and campaigns
Verification
Runs daily causal inference on every intervention
Behind all of that
"What if the AI slacks off?" Fair question, and we have an answer.
Inside ARCTAVIA, the Polaris Supervisor AI audits every six hours for drift between your target and the reality of the account. When it finds drift, Improvement AI files a fix ticket, and Implementation AI ships approved fixes in order.
AI watching AI, two layers deep. Drift you would miss, ARCTAVIA catches first.
Layer 1
Audits target-vs-reality every six hours
Layer 2
Files reviewable fix tickets
Layer 3
Ships approved fixes in order
Why this works now
Ad tools running on 2023-era models and ARCTAVIA running on GPT-5.4 both say "AI." They are three generations apart.
What GPT-5.4 does that older models could not: coordinate multiple AI agents without contradicting itself. That is what lets the supervise -> direct -> draft -> verify loop keep humans in the approval path without burying them in manual analysis.
When a better model ships, we switch the same day. Your account gets smarter on the schedule of frontier AI.
Then
Powered by
GPT-5.4
Same word, three generations apart.
Now
Measured, not modeled
ROAS 7.19
December 2025 / monthly best
+123%
ROAS change vs. Oct
-55%
ACoS change vs. Oct
+68%
Trailing 30-day ROAS change
Period: October-December 2025 (3 months). Single-account observation from Amazon Ads API keyword reports using 31-day sales attribution. Results are not guaranteed.
Results vary by account and marketplace conditions.
Read the full case studyAnd it's cheap.
For United Kingdom teams, the live price is £98/month in GBP. Start free after Amazon connection and decide after the trial.
Based on publicly listed pricing as of April 2026. All figures in USD; ARCTAVIA shown at your regional rate.
Ad spend and Amazon fees already eat your margin.
There's no reason to let software fees finish the job.
Standard
30 days free after Amazon connection. £98/mo in GBP only if you continue after the trial (cancel anytime).
What Standard includes
Start with Google
Before you ask about the scary part
Daily review loops sound risky if approval boundaries are unclear. ARCTAVIA was designed from day one so important changes stay reviewable before release.
Run hourly. Threshold breaches stop immediately.
The AI can't cross them either.
Account-level moves wait for your approval.
Every decision, every action, every reason - forever.
Review-first, not reckless. If that line doesn't hold, ARCTAVIA isn't a product.
Try it first
You do not have to hand over the whole account. Pick one campaign. Watch what happens every six hours. Decide in 30 days. If the numbers don't move, you walk - nothing lost.
01
Connect your Amazon Ads account
About 5 minutes.
The 30-day trial starts here.
02
Pick one campaign to hand over
Start small. Expand when the numbers convince you.
03
Read the 6-hour improvement log from day two
Every action logged with the reason.
Start with Google
The 12 systems inside ARCTAVIA
No alien product jargon. Just what each part actually does for the account.
Audits target-vs-reality every six hours
Files fix tickets from supervisor findings
Ships approved tickets in order
Prepares bid drafts from 84 signals
Gives weak keywords up to four rehab windows
Surfaces rising-keyword promotion drafts
24x7 time-of-day bid matrix
Dynamic rebalance across campaigns
Daily causal inference on every intervention
7 anomaly rules with hourly stop-loss review alerts
Ask, propose, approve/reject in natural language
Every account's health on one screen
One step
ARCTAVIA is built for incremental handover. Once one campaign is running, expanding is the easy part.
Start with Google
It's time to stop running Amazon Ads by hand.
FAQ
The key questions most teams ask before starting
