Gathering plenty of data and keeping bid changes small — less than how many percent each time — should result in steadier campaign performance?

• A. 5%
• B. 10%
• C. 30%
• D. 20%

Answer: (D)

Gradual bid adjustments help the system learn from new data without overreacting to short-term noise. When you keep each bid change under 20%, you give the algorithm enough time to observe the impact of the adjustment and accumulate data before the next tweak. This reduces volatility in impressions, clicks, costs, and conversions, leading to steadier performance over time. Larger moves, like 30%, can disrupt auction dynamics and produce swings in key metrics, making outcomes harder to predict. While smaller steps such as 5% or 10% are possible, the threshold that typically maintains stability while still allowing timely optimization is under 20%.