In RTB, rapidly changing floor prices mean optimal bidding becomes more adaptive and less static. Instead of relying on fixed bid strategies, advertisers must constantly adjust bids based on the latest floor signals, competition, and inventory quality. Sudden spikes can push bids too low, causing missed impressions, while drops can lead to overpaying if systems react too slowly. Tracking bid performance over time, similar to reading a log of auction outcomes, helps reveal where strategies lag behind market shifts. Real-time pacing and predictive models become crucial to smooth volatility.