# Ads Monitor

> Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring.

- Skill: `agricidaniel/ads-monitor` (Agent Skill)
- Install (CLI): `npx skillmds add agricidaniel/ads-monitor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agricidaniel/ads-monitor/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: OpenClaw, Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth, Ads & Campaigns
- Tags: Ad Monitoring, Anomaly Detection, Budget Pacing, Campaign Performance, Creative Fatigue, Paid Media
- Author: Agrici Daniel (https://skillmd.com/u/agricidaniel)
- Updated: 2026-07-19
- Page: https://skillmd.com/skills/agricidaniel/ads-monitor

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# Paid Media Monitoring

1. Load two or more normalized snapshots with compatible account, timezone,
   currency, metric, and attribution definitions.
2. Validate data freshness and finalization windows before comparing periods.
3. Separate expected learning, seasonality, reporting latency, and planned changes
   from unexplained anomalies.
4. Evaluate pacing, delivery, conversion quality, unit economics, creative fatigue,
   tracking health, policy status, and changed account objects.
5. Return observations, confidence, likely causes, required investigation, and
   decision thresholds. Do not mutate the account.
6. Persist a versioned monitoring bundle and link detected failures to regression
   or follow-up tasks.

Do not alert on percentage changes with trivial denominators or incomparable
windows. State when evidence cannot distinguish noise from a material change.