google-ads-changelog

You can audit Google Ads change history by parsing raw audit logs, translating them into plain-English narratives, and correlating account edits against daily CPA performance metrics to identify which optimizations impacted costs.

CPA spikes after account edits occur when specific changes like budget adjustments or negative keyword additions negatively impact performance. Correlating change_event data with daily CPA curves pinpoints which specific edit caused the fluctuation.

The best way to generate a change attribution report is running an automated analysis that parses change_event data and overlays account edits against daily CPA curves to assess the performance impact of specific optimizations over a set time period.

Yes, you need the Porter Metrics MCP google-ads connector to resolve resource IDs and execute the data queries required to parse audit logs and correlate account edits with performance metrics.

Yes, you can convert raw change_event data into a human-readable changelog by applying parsing scripts that transform cryptic audit logs into clear, actionable summaries of who changed what and when.

Limitations include reliance on the MCP google-ads connector for resource ID resolution and the inherent difficulty of isolating a single edit's impact when multiple account changes occur simultaneously on the same day.