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Summary\n\nAdds volume and freshness anomaly monitoring to key staging models in the
cpa_and_roasupstream lineage.\n\n## Changes\n\n###stg_orders\n- Volume anomaly — catches unexpected row count changes at the earliest stage of the orders pipeline\n- Freshness anomaly — ensures order data is arriving on schedule before it flows into downstream financial models\n\n###stg_payments\n- Volume anomaly — detects ingestion issues in payment data that would silently corrupt order amounts and ROAS\n- Freshness anomaly — ensures payment data freshness so downstream financial metrics stay current\n\n## Context\n\nThese staging models are 5 levels upstream of the criticalcpa_and_roasmodel. Without monitoring at this layer, pipeline failures or data delays would propagate undetected throughorders→customer_conversions→cpa_and_roas, corrupting cost-per-acquisition and return-on-ad-spend calculations.Created by:
maayan+172@elementary-data.com