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Optimization

Compare DART Adapt and DFP Optimization

The table below summarizes differences between DART Adapt and DFP Optimization.

Feature Adapt in Legacy DFP Optimization in DoubleClick for Publishers
Enabling Optimization At the ad level At the network level
Segmentation Static Dynamic, leveraging Google's predictive modeling technology
Segmentation update frequency Every few years, depending on performance Every 12 hours
Key-values No Yes
AdSense contextual data No Yes
Control group Configurable. Initially 20% Configurable. Initially 20%
Split in control group Dependent on ads OSI Consistently around 20%
Learn from previous campaigns No Yes
Smooth delivery No Yes
Main reporting Run by account managers and sent to publishers in Excel format. Built into Reporting tab
Lift displayed for All optimized ads Only ads with significant data
Average lift Between 30% and 40% Between 70% and 80%
Works for mobile No Yes
Works for video No Yes