Signal quality
Signal quality is the fitness of your conversion data as an input to automated bidding: complete, deduplicated, on time, and carrying real values.

High signal quality means Smart Bidding and Advantage+ optimize toward your revenue; low signal quality means they optimize toward noise, just as efficiently.
#Signal quality vs data quality
Data quality is warehouse hygiene: is the table accurate. Signal quality is narrower and higher-stakes: is the conversion stream the bidding algorithm eats trustworthy. A feed can pass every data-quality check and still fail four ways: broken (events never arrive), duplicated (pixel and CAPI both counted), late (CRM imports landing days after the click), and value-less (a $99 signup weighted like a $50k contract). Each defect produces its own mis-spend pattern, because platforms don't pause on bad data. They act on it.
In practice: Buron runs scheduled health checks against this: whether conversions are still flowing, whether conversion actions are configured and carrying real values, whether click-ID capture prerequisites hold. A decaying signal becomes a finding instead of a bad quarter.
Why it caps everything downstream: The tracking bottleneck. The defect-by-defect argument: The tracking bottleneck: your bids are only as good as your signal.
Related terms
Smart Bidding
Smart Bidding is Google Ads' auction-time automated bidding (tCPA, tROAS, Maximize conversions, Maximize conversion value), setting each bid from the conversion data you feed it.
The tracking bottleneck
The tracking bottleneck is the point where conversion signal quality caps everything downstream: bidding, attribution, and MMM can't be better than the data they're fed.
Value-based bidding
Value-based bidding is automated bidding that optimizes toward conversion value instead of conversion count: tROAS and Maximize conversion value on Google Ads.