Ktorý výrok správne sumarizuje možnosti prispôsobenia atribučných modelov v službe Display & Video 360?

Conversion modeling in Display & Video 360 addresses data gaps that occur when some conversions cannot be directly observed or attributed due to factors like user privacy settings, cookie restrictions, or technical limitations. It uses machine learning to estimate the impact of advertising on these unmeasurable conversions, providing a more complete picture of campaign performance. This helps advertisers make more informed optimization decisions by accounting for conversions that would otherwise be missed. The other options are incorrect: Visible view-through conversions do not automatically receive double credit; their impact is determined by the attribution model chosen. Visible view-through conversions can be enabled with various attribution models, not just last interaction. Finally, conversion modeling and visible view-through conversions are distinct features that can be used independently or together within an attribution model to enhance data accuracy and completeness.