Gordon is running a Google App campaign for a news publisher and has recorded 200 unique subscriptions in the last 30 days. Is this enough conversion data for the machine to achieve optimal performance?

No. The system needs a minimum of 3,000 unique conversion events over 30 days.

Yes. The system needs a minimum of 30 unique conversion events over 30 days.

Yes. The system needs a minimum of 10 unique conversion events over 30 days.

No. The system needs a minimum of 300 unique conversion events over 30 days.


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.


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Explanation: Gordon is running a Google App campaign for a news publisher and has recorded 200 unique subscriptions in the last 30 days. Is this enough conversion data for the machine to achieve optimal performance?


Explanation: The correct answer is 'No. The system needs a minimum of 300 unique conversion events over 30 days.' This option correctly identifies the minimum threshold of conversion events required for the machine learning system to achieve optimal performance within a 30-day timeframe. With only 200 unique subscriptions recorded in the last 30 days, the conversion data falls short of the required threshold. Machine learning algorithms rely on sufficient data to effectively optimize campaign performance, identify patterns, and make informed decisions regarding targeting, bidding, and ad delivery. In the context of Google App campaigns, having a minimum of 300 unique conversion events over 30 days provides the algorithm with an adequate volume of data to learn and adapt to user behavior, thereby maximizing the campaign's efficiency and effectiveness. Therefore, while 200 unique subscriptions may indicate some level of success, it is still insufficient for the machine learning system to achieve optimal performance within the specified timeframe.

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