Apple Search Ads Campaign Automation

An AI agent reviews up to 5,000 targeted keywords one by one and proposes bid changes and pauses; humans only approve the bid changes — on rejection or timeout, nothing is touched.

Scheduled trigger (cron + time zone), with manual runs availableGrouped approval of bid changes

01fetch_asa_datasetPull campaign reports and up to 5,000 targeted keywords

02analyze_keywordsAI reviews keywords in parallel chunks, proposing a bid change or pause for each; chunk size is configurable

05approve_by_groupThe 5 action groups go to approval separately; approvers can edit bids before approvingHUMAN

07deliver_reportResults and reports delivered to Slack

64Steps in the Main Optimization Workflow

5,000Keyword Cap per Review Run

$200Cold-Start Daily Budget Hard Cap

11Steps in the Cold-Start Workflow

Background and problem

Why This Workflow Exists

With thousands of targeted keywords in the account, no one can manually review bids and conversions for each one. Which keywords should be bid down, and which are just burning money, often only surfaces at month-end reconciliation. The team wanted AI to do the per-keyword analysis, but wasn't comfortable handing it write access to the ad account.

Before this workflow

The judgement lived in someone's head — only the person doing it knew the standard
At volume you could only spot-check, and what slipped through usually surfaced at reconciliation
Every repeat meant reading it all again from the top — nothing accumulated

Now

The standard is written into 7 steps — everyone reads the same one
Everything is checked item by item, no sampling; every run leaves a record you can go back to
1 steps stop and wait for a person; reject or let it time out and not a single value changes

Execution

How This Workflow Runs

Trigger ModeScheduled trigger (cron + time zone), with manual runs available

fetch_asa_dataset

Pull campaign reports and up to 5,000 targeted keywords

analyze_keywords

AI reviews keywords in parallel chunks, proposing a bid change or pause for each; chunk size is configurable

generate_actions

Suggestions roll up into 5 action files; the AI can only write files and never touches the account

validate_actions

Deterministic validation: bid clamps and coverage checks block any out-of-range suggestions

approve_by_groupHUMAN

The 5 action groups go to approval separately; approvers can edit bids before approving

execute_approved

Only approved actions are executed, written back to the ad account one by one

deliver_report

Results and reports delivered to Slack

Why It’s Safe to Let AI Modify the Account

The AI only produces action files; every write to the account is performed by deterministic code
Bid changes are clamped to a range; out-of-range suggestions never reach the approval form
The 5 action groups are approved separately; approvers can edit values before approving
On rejection or approval timeout, zero changes go live
Cold start ships with budget guardrails: $30 default daily budget, $200 daily hard cap, and an 80-keyword limit for the first batch

Scale And Operating Facts

The main optimization workflow has 64 steps, production version v1.2.3
The 11-step cold-start workflow runs pre-checks, a 24-hour approval window, and a dry-run before anything executes for real
The 21-step autonomous optimizer: AI only writes JSON action files, executed only after deterministic validation and approval
Tiered models: bulk analysis and final review use different models

Features Used

Manual Approval Workflow Runs & Monitoring Triggers & Integrations Multi-Model BYOK

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