You're new to the concept of customizing attribution models in Display & Video 360 and are just learning how the available options work. What statement accurately defines your options?

Conversion modeling in Display & Video 360 uses machine learning to estimate conversions that cannot be directly observed due to factors like user privacy settings or technical limitations (e.g., cookie restrictions). This helps provide a more complete picture of campaign performance. Viewable view-through conversions (VTCs) attribute credit to impressions that were viewable but not clicked, and they do not inherently give "twice as much" credit. VTCs can be used with various attribution models, not just last interaction. Conversion modeling and VTCs are complementary features and can be enabled together to provide a more comprehensive and accurate understanding of conversion paths.