AI-generated Key Takeaways
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ForecastBreakdownOptions configure how forecast data is broken down, offering insights into delivery patterns.
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Time windows can be customized to analyze specific periods within the forecast, with boundaries defined using
DateTime
objects in ascending order and within the same time zone. -
Breakdown targets, such as specific inventory or demographics, can be specified to further segment forecast data for analysis.
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If time windows or breakdown targets aren't defined, the system defaults to using the forecasted LineItem's settings.
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The
ForecastBreakdownOptions
object utilizes the namespacehttps://www.google.com/apis/ads/publisher/v202411
.
Configuration of forecast breakdown.
- Namespace
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https://www.google.com/apis/ads/publisher/v202411
Field |
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The boundaries of time windows to configure time breakdown. By default, the time window of the forecasted LineItem is assumed if none are explicitly specified in this field. But if set, at least two DateTimes are needed to define the boundaries of minimally one time window. Also, the time boundaries are required to be in the same time zone, in strictly ascending order. |
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For each time window, these are the breakdown targets. If none specified, the targeting of the forecasted LineItem is assumed. |