Observed Signal · Apr 11, 2023 · Technical Release · Source: CMSWire · Impact: 4/5 · Sentiment: Positive

Google Adds Looker Data Blending and BigQuery Export for Search Console

Executive Signal Summary

Google announced new integrations between Search Console and its data platforms Looker and BigQuery. Looker now includes a no-code data blending feature, while BigQuery offers direct daily bulk export of Search Console performance data. These capabilities let marketers combine search metrics with other KPIs, apply multiple filters simultaneously, and run complex SQL queries for deeper SEO analysis. Daily exports can take up to 48 hours to activate, and anonymized queries are excluded for user privacy. The article provides practical guidance on using Looker's blend function and BigQuery's analytical features to extend the capabilities of native Search Console reports.

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High Confidence

Google expands Search Console interoperability with Looker and BigQuery, enabling deeper SEO analytics and cloud data workflows for marketers relying on Google's stack.

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Key Takeaways & Evidence Grounding

  • Google introduced a new data blending feature in Google Looker for Search Console data.
  • Google BigQuery added a direct bulk data export capability for Search Console performance data.
  • Marketers can schedule daily Search Console exports to BigQuery, with activation taking up to 48 hours.
  • Anonymized queries are excluded from Search Console data exports.
  • Exporting Search Console data enables multi-filter analysis and additional visualization options beyond native reports.

Connected Companies & Entities

1 Entity mapped

“Google announced two new features to enhance its Search Console platform, while also ensuring seamless interoperability between Search Conso...”

Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: CMSWire•Published: Apr 11, 2023
Original Coverage Title: “Exporting Google Search Console Data to Looker and BigQuery for Better SEO Analysis”

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