Navboost

Google's internal click quality system that classifies user interactions into good clicks and bad clicks, creating a feedback loop that strengthens or suppresses rankings over time.

Navboost is Google's user interaction scoring system, revealed through leaked internal documentation. It classifies search result clicks as positive (long dwell time, deeper engagement) or negative (quick bounces, pogo-sticking back to results). These classifications feed a compounding loop: content with consistently positive click signals gets surfaced to more users, generating more positive signals, while content with negative patterns gets progressively suppressed. It is widely considered one of the most influential quality signals in Google's ranking stack.

Also known as