Daily Python Script Flags Ad Spend Anomalies Using Exported Platform CSVs

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A marketing approach is outlined for catching overspending across Meta, Google, and TikTok ad accounts without API access. Each platform's CSV exports use different column names, so they are mapped to a single shared schema before analysis. Yesterday's spend per campaign is compared against its median over the previous 14 days, and campaigns exceeding a set ratio or appearing with no history are flagged. A minimum spend threshold filters out noise from very small campaigns. The author recommends reviewing the flagged output each morning and pairing spend checks with conversion data to compare cost per result.

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