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Module 2

Fatigue Guard

Monitor creative-health trends from connected-account evidence and get reviewable AI recommendations. The product can surface warning signals; it does not claim access to Andromeda internals or guarantee a fixed prediction window. See what it finds first with a Meta ads audit.

Creative Health Panel

Compare trend-based warning signs and prepare a replacement for review.

Illustrative UI — scores are not Meta diagnostics or validated forecasts.

Fatigue Guard

Monitoring 24 creatives

Signal Health

84

Creative Diversity

71

Budget Efficiency

68

AI-generated Beauty ad creative

Glass skin in 14 days

Freq 1.8 · CTR +12%

Winner
AI-generated Fitness ad creative

Fuel your grind

Freq 2.4 · CTR −4%

Active
AI-generated Wellness ad creative

Energy without the crash

Freq 3.1 · CTR −18%

Declining
AI-generated Coffee ad creative

Your morning, upgraded

Freq 4.2 · CTR −31%

Fatigued

Your morning, upgraded hit frequency 4.2 with CTR down 31% — fatigue confirmed. I generated a replacement with a fresh hook and format. Nothing changes until you approve.

AI-generated Coffee ad creative

Fatigued

AI Replacement

Approve & PublishRegeneratePause fatigued ad

Creative Health Panel

A dashboard that organizes connected-account CTR, frequency, CPM, CPA, ROAS, delivery, and conversion trends into reviewable creative-health signals. It is not a Meta diagnostic or a guaranteed forecast.

Creative Mix Review

Summarizes observable differences in hooks, formats, and creative treatments to help plan the next test. It does not measure Meta's private Andromeda embeddings.

Fatigue Risk Detection

Combines comparable CTR, frequency, delivery, CPM, CPA, and ROAS trends into warning statuses. The evidence can prompt investigation, but it does not prove a single cause or a fixed lead time.

Budget Efficiency Score

Shows where spend is concentrated and how creative outcomes compare over the selected window, helping the operator review whether a budget or creative change is justified.

AI Recommendation Cards

Reviewable suggestions to investigate, pause, scale, or replace a creative. Each card explains the supporting metrics and stays behind explicit user approval.

Safe Account Management

Every action requires your explicit approval. No automatic campaign changes, ever. Preview exactly what will change before applying, and campaigns publish paused so nothing spends until you activate it.

Review your creative health

Connect a Meta account to organize recent creative and campaign trends into an operator-controlled review workflow.

Get Started

Plans from $39/mo · Cancel any time · Ads publish paused until you approve

Frequently Asked Questions

What should a Meta ads report actually include?
Spend, ROAS, CTR, CPC, CPM, and frequency at minimum, broken out by campaign and by creative, plus the change versus the prior period. The change column is the part that matters: a static snapshot tells you where you are, while the delta tells you what to do this week.
How often should I review Meta ads performance?
Weekly for decisions and daily for alerts. Reviewing daily invites overreaction to noise, since Meta needs several days of data to stabilize after any change. Automated alerts cover the exception cases in between, so a spend spike or a sudden CTR collapse reaches you without you refreshing a dashboard.
What alerts are worth setting up?
Rising frequency, falling CTR against an ad's own baseline, CPA drifting past your target, spend pacing ahead of budget, and campaigns re-entering the learning phase. These five catch most preventable losses, and each maps to a specific fix rather than just telling you something moved.
Can I send reports to clients automatically?
Yes. Reports can be scheduled and delivered on a recurring basis, which is the difference between an agency reporting layer and a dashboard somebody has to remember to open. The value is consistency: clients who get a weekly summary ask fewer ad-hoc questions.
Why do my Meta Ads Manager numbers differ from my analytics?
Attribution windows and modeling. Meta counts a conversion against the ad using its own click and view windows, while your analytics platform typically credits last non-direct click, and iOS signal loss means Meta models part of what it reports. Expect a gap, pick one source as the decision-making number, and keep the other for directional context.

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