Daily Briefing
What moved, what to do, what to leave alone.
AI Briefing
🌿
Since yesterday
Needs attention
Running & next experiments
Experiments
Your ASA lab notebook — every theory, the change that tests it, and the verdict.
This is the layer Apple's console and a plain dashboard don't have: a hypothesis ledger that survives the ~24h reporting lag and a 7-day runway, and turns each finding into a reusable rule.
🌱 Learnings & rules adopted
The durable knowledge experiments leave behind — these constrain every future recommendation.
Campaigns
One row per campaign. Click a header to sort.
TOTALS is the account total, not the sum of the rows above — Apple masks low-volume terms, so per-campaign rows can under-count. — means we hold no data for that cell; 0 means we hold data and it is zero.
Keywords
Last 7 days · band by TTR · click a header to sort.
🟢 ≥4% 🟡 2–4% 🔴 <2% TTR. Rows under ~100 impressions are directional only. CPA shown where installs > 0.
Search Terms
What people actually typed — the source of negative-keyword discovery.
Timeline
Every account change on one axis — so you can read results against the change that caused them.
Blended TTR, with change marker
Change log
Data & Sync
Where this account's data came from, and when.
Sync history
Every run this account has made — scheduled and manual alike.
One tick of the schedule writes four rows — sync, eval, experiment eval, alert — so “did we pull fresh data?” and “did we form suggestions?” stay separately answerable. Rows is what that job wrote: metrics for a sync, suggestions for an eval, alerts for an alert.
The pipeline
① Apple Ads API v5
Read-only pull: campaigns, ad groups, keywords, search-term reports.
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② MySQL
Per-day metrics, reconciled against Apple's own grand totals before they land.
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③ Evaluate
Deterministic rules form suggestions and raise alerts. No model is called in this phase.
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④ This view
Briefing, experiment ledger, scorecard.