Google introduces cross-campaign brand metrics tracking system for advertisers
New Brand Report feature provides consolidated reach and frequency data across advertising campaigns with technical improvements.
Google Ads has introduced a new reporting system that consolidates brand metrics across advertising campaigns, announced through their Help Center documentation on December 26, 2024. The Brand Report, released four days ago, represents a significant technical advancement in measuring advertising reach and frequency across multiple campaigns.
According to Google's documentation, the system introduces enhanced measurement capabilities that account for co-viewing patterns, which occur when multiple individuals watch advertisements together on connected television devices. This technical update builds upon modifications made to Google's first-party reach system earlier in 2024, which incorporated geographic modeling to measure audience movement between locations through both physical presence and virtual private networks.
The new reporting system operates with specific technical parameters. According to the documentation, campaigns must generate more than 10,000 impressions to populate data, and the system can process up to 10,000 campaigns simultaneously. The reporting timeframe is limited to 92 days for reach metrics analysis.
The platform's reach calculation methodology employs statistical models based on aggregated user behavior patterns across multiple browsers and devices. These models analyze cross-device usage patterns across Google products, combining behavioral observations with local inputs such as census data and probability surveys to deduplicate audience measurements.
Technical limitations of the system include the exclusion of Search, Shopping, and Performance Max campaigns from the reporting capabilities. Additionally, data access is restricted to single account level analysis, preventing multi-account or MCC (My Client Center) level reporting.
The system's measurement methodology has undergone several iterations. In January 2022, Google implemented improvements to their underlying reach and demographic model. Following this, in April 2022, they updated their unique reach models to incorporate co-viewing data, providing insights into additional impressions gained from shared viewing experiences on connected TV devices.
Data processing in the system involves a three-day delay for reach and frequency metrics to become available in advertiser accounts. This delay stems from the complex modeling calculations required for accurate measurement. For instance, when analyzing a seven-day period, the most recent three days may show incomplete data due to this processing requirement.
The geographic modeling component of the system can now account for population movement between sub-locations, including both physical travel and virtual presence through VPN connections. This capability may result in location target reach exceeding local census population figures in some instances.
For Display campaigns, the system implements specific viewability criteria. According to the documentation, only viewable impressions count toward frequency caps, though other frequency reporting data may appear higher as it includes both viewable and non-viewable impressions.
Privacy considerations are built into the methodology. The system requires a minimum threshold of users before reporting any data to advertisers, and according to Google's documentation, personally identifiable information is never utilized in direct reach measurement.
In terms of data access, advertisers can view these metrics by adding specific columns to their statistics table within the Campaigns page of their Google Ads account. The metrics are specifically available for video campaign analysis and can be filtered by custom time periods.
This release follows Google's August 2020 transition from cookie-based metrics to unique reach metrics as the primary method for reach measurement. The older cookie-based reach metrics are no longer available in the Google Ads system.