ADFIXER
Algorithm Studio

One workflow for every optimization decision.

Define scope, set conditions, preview publisher-specific changes, and approve every action before it reaches an account.

Decision preview

Amazon - 4 campaigns - 126 keywords
Raise bids on profitable exact terms
Guardrails passed - Ready for approval
The operating model

Every decision follows the same visible path.

Algorithm Studio turns optimization logic into a reviewable workflow. Teams see what will change, why it qualifies, and where it will run before anything is published.

01

Set the scope

Choose publisher, marketplace, campaigns, ASINs, audiences, or a keyword set.

02

Define conditions

Combine margin, conversion, spend, rank, inventory, and time signals with thresholds.

03

Preview branches

See how one intent maps to Amazon, Google, Meta, or future publisher actions.

04

Approve and run

Apply limits and publish only the changes that passed review.

Publisher-aware execution

The logic stays consistent while the action fits each channel.

Publisher branches translate a common optimization goal into the controls each platform supports.

AMZ

Amazon

Bids, budgets, placements, search terms, match types, and DSP audiences.

GGL

Google

Search bids, budgets, match types, placements, and conversion value.

META

Meta

Audience, creative, delivery, and budget branches ready for the next connection.

KFD

Kaufland

Marketplace-aware branches with the same review, limit, and ledger structure.

40+available signals
4review stages
1decision ledger
Guardrails and approvals

Automation stays inside the boundaries you set.

Every workflow checks limits before it proposes an action. Approval mode lets your team review suggestions before live changes.

01

Scope limits

Restrict publishers, accounts, campaigns, products, or audiences.

02

Spend limits

Set daily and monthly caps, bid floors, ceilings, and change-size limits.

03

Approval modes

Choose suggestion, approval, or autopilot mode per workflow and account.

04

Preview diffs

Review before and after values, expected outcome, and affected entities.

05

Rollback context

Keep the previous value, reason, and outcome attached to each action.

06

Team controls

Give operators shared visibility with a searchable decision history.

The decision ledger

A complete record of what changed and why.

Every proposed, approved, skipped, and executed action is written to one audit trail.

01

Signal

The inputs and time window that triggered the recommendation.

02

Reason

The rule, threshold, and expected outcome behind it.

03

Action

Publisher, entity, old value, new value, and approval state.

04

Outcome

Expected versus actual impact, recorded for the next cycle.