Ads Monitor

作者 agricidanielac2164493391無授權條款9.8K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫昨天更新

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

AI 產生的概覽

監控付費廣告帳戶的投放節奏、交付、成效、創意疲乏、追蹤、政策與資料品質問題。

功能
此技能定義了一套唯讀的付費媒體帳戶監控流程。它比較兩個以上口徑一致的標準化快照(帳戶、時區、幣別、指標與歸因定義需相容),檢查資料新鮮度與結算時間窗,並將預期的學習期、季節性、報表延遲與計畫內變更,和無法解釋的異常區分開來。它評估投放節奏、交付、轉換品質、單位經濟效益、創意疲乏、追蹤健康度、政策狀態以及有變動的帳戶物件,然後回傳觀察結果、信心程度、可能原因、所需調查與決策門檻,並保存具版本編號的監控組合包,把偵測到的失敗連結到回歸或後續任務。它明確不會變更帳戶。
適用情境
適用於每日或每週的付費廣告檢查、異常複核、預算節奏掌握、上線後驗證或持續的活動監控。適合需要比較兩個以上期間的快照,並區分雜訊與實質變化的情境。
執行需求
僅為指示性內容,未附帶指令碼。需要兩個以上口徑一致的標準化快照(帳戶、時區、幣別、指標與歸因定義需相容),以及用來保存具版本監控組合包並將失敗連結到後續任務的位置。

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.

來源與署名

來源:agricidaniel/claude-ads位於skills/ads-monitor提交ac21644

授權條款: 無授權條款

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