Which conversion-window instruction supports learning by ML?

Which conversion-window instruction supports learning by ML?

• A. Set the shortest possible windows
• B. Disable learning
• C. Set realistic conversion windows and leave time for learning
• D. Boost bids only

Answer: (C)

Machine learning needs enough data and time to learn how conversions relate to ads and clicks. The conversion window sets how far after a click a conversion can be counted, and the learning process uses those conversions to adjust bidding and targeting. If you choose the shortest possible windows, you restrict the data the algorithm can use, making learning slow or ineffective. If learning is disabled, the model won’t update its understanding of what drives value. Boosting bids alone doesn’t give the ML system time or data to learn from conversions. Setting realistic conversion windows and leaving time for learning ensures the ML model sees a representative stream of conversions, can recognize patterns, and improve bidding decisions over time.

Machine learning needs enough data and time to learn how conversions relate to ads and clicks. The conversion window sets how far after a click a conversion can be counted, and the learning process uses those conversions to adjust bidding and targeting. If you choose the shortest possible windows, you restrict the data the algorithm can use, making learning slow or ineffective. If learning is disabled, the model won’t update its understanding of what drives value. Boosting bids alone doesn’t give the ML system time or data to learn from conversions.

Setting realistic conversion windows and leaving time for learning ensures the ML model sees a representative stream of conversions, can recognize patterns, and improve bidding decisions over time.