How many unique user-completed conversion events over a 30-day period are recommended for a campaign to run well?

How many unique user-completed conversion events over a 30-day period are recommended for a campaign to run well?

• A. 100
• B. 200
• C. 300
• D. 400

Answer: (C)

The main idea is that automated bidding learns best when you have a solid amount of conversion data. About 300 unique user conversions in a 30-day period gives the learning algorithm enough real-world examples across different users, devices, times, and contexts to stabilize bids and produce reliable CPA/ROAS estimates. With around 300 conversions, the signal is strong enough for the model to distinguish genuine effects from random fluctuations, making optimization more effective. Fewer conversions, like 100 or 200, leave the data noisy and slow to converge, while having more than 300 is fine but not necessary as the minimum; 300 is the practical target. Counting unique users helps ensure the data reflects distinct user paths rather than multiple conversions from the same person, which supports better learning.

The main idea is that automated bidding learns best when you have a solid amount of conversion data. About 300 unique user conversions in a 30-day period gives the learning algorithm enough real-world examples across different users, devices, times, and contexts to stabilize bids and produce reliable CPA/ROAS estimates. With around 300 conversions, the signal is strong enough for the model to distinguish genuine effects from random fluctuations, making optimization more effective. Fewer conversions, like 100 or 200, leave the data noisy and slow to converge, while having more than 300 is fine but not necessary as the minimum; 300 is the practical target. Counting unique users helps ensure the data reflects distinct user paths rather than multiple conversions from the same person, which supports better learning.