mx-runaway-spend-check

Overspending keywords in Amazon Ads are identified by comparing T-1 spend against a T-30 baseline and flagging high-spend keywords with zero conversions using confidence interval calculations and predefined structural event rules.

Keyword-level acute runaway spend detection is an analysis method that flags Amazon Ads anomalies when T-1 spend spikes materially against a T-30 baseline. It assesses risk for confidence interval breaches and zero conversion outcomes.

No, keyword spend detection requires appropriate brand setup and brand context loaded via the mixshift CLI. Without confirming calibration and running prefetch operations, the SQL-based analysis cannot accurately compute excess spend or identify anomalies.

Confidence interval calculation finds Amazon Ads spend anomalies by computing expected keyword performance boundaries. When T-1 spend breaches these confidence intervals or generates zero conversions against historical data, the keyword is flagged for bid management risk assessment.

SQL-based spend analysis limitations include dependency on the mixshift CLI and predefined rules for flagging anomalies. It requires accurate brand context and calibration; without proper prefetch operations, confidence interval computations may fail to detect actual overspending keywords.