01
Bid control
Every keyword, ASIN, and placement is repriced against your target ROAS or TACoS. The system explains the expected return behind each move.
Autonomous PPC
Amazon PPC that improves while you sleep.
Give the algorithm a target, budget, and guardrails. It watches each campaign hourly, makes the next move, and records why.
The work it absorbs
Every repetitive PPC decision, handled hourly.
Your team keeps the strategy. ADFIXER takes care of the decisions that otherwise turn into spreadsheets, Monday reviews, and manual cleanup.
02
Search-term hygiene
Converting queries are harvested into exact match. Wasteful terms are negated before they keep spending.
03
Budget allocation
Spend moves toward campaigns with the best marginal return while pacing protects your monthly cap.
04
Placement economics
Top-of-search, product pages, and rest-of-search get separate multipliers tuned to each ASIN.
Hourlydecision cadence
Per keywordbid evaluation
Guardrailsbefore execution
100%decision ledger
How the loop works
An autonomous system you can inspect.
The algorithm is not a black box. Each decision has a timestamp, a reason, a measured outcome, and the policy that allowed it.
1
Observe
Hourly pulls join spend, orders, search terms, placements, organic rank, and margin data into one account view.
2
Decide
The model estimates marginal return per bid and selects the move with the best expected outcome inside your guardrails.
3
Act
Approved changes are written to Amazon Ads with a reason, a before-and-after value, and a rollback path.
4
Learn
Every decision is scored against what happened next, so the next hour starts from a better prior.
100%logged decisions
24/7monitoring cadence
0black-box changes
Control stays with you
Autonomy without handing over the keys.
Start in read-only mode, review the replay, then turn on only the decisions you are ready to automate.
A
You set the target
Choose the outcome that matters: target ROAS, TACoS, spend, or a margin-aware rule.
B
You set the limits
Keep control over floors, ceilings, budgets, placements, and campaigns that must stay manual.
C
You see the reason
Every action carries the signal, expected impact, and result so your team can challenge the model.
D
You can roll it back
Pause autonomy for a campaign or reverse a decision from the same ledger where it was made.
Guardrails we respect
- ✓Minimum ROAS or maximum TACoS target
- ✓Daily and monthly spend caps
- ✓Bid floors and ceilings by campaign
- ✓Placement multipliers with separate limits
- ✓Approval mode before any live change
- ✓A complete decision ledger for your team