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Marketing data aggregation combines disparate sources like Meta, Google, and TikTok Ads into one virtual source using a structured ETL configuration pipeline, enabling unified cross-channel reporting without complex manual blending.

Same-channel rollups let you aggregate multiple sub-accounts, such as 20 Google Ads accounts, into a single total virtual source. This simplifies reporting by providing a consolidated view of spend, impressions, and clicks across all accounts.

Cross-channel data consolidation merges disparate marketing platforms into a unified source with standardized metrics. You need it when managing fragmented data across multiple channels to ensure accurate cross-channel analysis and unified reporting.

Configuring an ETL aggregation pipeline requires precise verification of report types and field mappings per channel. This multi-step process ensures data integrity and accurate metric calculation across all aggregated marketing sources.

Marketing data aggregation suits agencies managing multiple regional ad accounts by creating a single virtual source. It provides a consolidated view of total spend, impressions, and clicks across all regions for simplified cross-channel reporting.

Incorrect cross-channel metric calculation typically results from unverified field mappings and report types. Precise per-channel verification within the ETL configuration pipeline is required to maintain data integrity and ensure accurate unified reporting.