Kiteworks Quadrupled Non-Brand Traffic with Quattr.
Kiteworks Quadrupled Non-Brand Traffic with Quattr.
Google Search Console (GSC) offers essential visibility into organic search, but its 1,000-row limit and 16-month data window constrain enterprise-scale analysis. Forward-thinking enterprises understand that overcoming these barriers is essential for uncovering untapped growth opportunities, performing deep competitive analysis, and making search a true revenue driver.
Quattr’s innovative technology empowers enterprises to fully harness their Google Search Console data by seamlessly integrating and analyzing search performance at scale. Rather than taking on the complexities of Google Search Console to BigQuery integration internally, leading organizations leverage Quattr’s purpose-built platform to unlock the complete spectrum of their search data, enabling enterprise-level insights and predictive analytics without the operational overhead.
By utilizing Quattr’s advanced search data infrastructure, CMOs and digital leaders gain access to unlimited historical search information, unified with paid media and business metrics. This enables the creation of custom dashboards, robust ROI analysis, and executive-level reporting that inform high-impact decision-making.
1. Native GSC is great but limited.
2. Exporting to BigQuery unlocks full historical, query-level search data.
3. Quattr automates that flow, unifies it with other marketing and business data, and turns search signals into reliable ROI and competitive insights.
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Google Search Console (GSC) is Google's free tool for website owners to monitor and maintain their site's presence in search results. Its core purpose is to help you understand how Google views your site and optimize its organic performance. As the authoritative source for this data, GSC tracks key metrics like impressions, clicks, click-through rate (CTR), and average position across different queries, pages, countries, and devices.
Despite its value, GSC’s interface limits deep data analysis. The 1,000-row export cap, 16-month data window, and lack of integration with analytics or CRM tools constrain enterprise teams. Sending GSC data to BigQuery removes these barriers, enabling richer analysis and more strategic decision-making.
That’s where Google BigQuery comes in, a data warehouse built to handle the scale and complexity that native GSC reporting can’t. Google BigQuery is a fully managed, serverless enterprise data warehouse built for large-scale analytics. Its architecture separates storage from compute, offering massive scalability and cost efficiency. It processes complex SQL queries on petabytes of data in seconds, enabling real-time insights at enterprise scale.
For search data, BigQuery is the ideal home for GSC bulk exports. It removes data caps, supports multi-year trend analysis, and allows powerful joins across marketing, CRM, and analytics datasets. This transforms raw search data into actionable intelligence, all within a secure and compliant environment.
Native Google Search Console imposes critical limitations that hinder enterprise-scale analysis. The most significant barrier is the 1,000-row export cap, which completely obscures long-tail keyword performance for large sites. This is compounded by a 16-month historical data limit that prevents long-term trend analysis, and data sampling in the UI that may not represent the complete performance picture. Furthermore, restrictive API quotas and the inability to natively join search data with other business systems, like analytics or CRM, create major analytical blind spots.
These constraints make tasks like conversion attribution or large-scale content analysis difficult, costing real growth opportunities. A direct GSC to BigQuery connection solves this by providing complete, query-level access for deeper, business-driven insights.
Before adopting any technical solution, enterprises need to align on the strategic value of advanced search data integration. While the standard Google Search Console interface offers tactical snapshots, it is not designed for the level of strategic, cross-channel analysis required in today’s competitive environment.
Quattr transforms the way enterprises utilize Google Search Console data by delivering a unified, analytics-ready dataset, without the operational burden of building and maintaining custom BigQuery pipelines. By connecting search data with paid media metrics, conversion events, and customer value, Quattr’s platform facilitates deep channel efficiency analysis. This reveals true cost per acquisition, identifies paid and organic cannibalization, and guides budget allocation according to holistic, blended performance metrics.
Quattr also automates the entire data flow from Google Search Console, unlocking complete historical datasets and enabling advanced reporting without requiring internal engineering resources or ongoing maintenance. Built-in validation, audit trails, and freshness checks ensure data accuracy and reliability at every stage.
With enterprise-grade governance, permissions, and privacy controls, organizations can confidently extend insights across marketing, analytics, and leadership teams. Quattr’s infrastructure scales seamlessly with traffic and data volume, supporting complex use cases without compromising performance or cost efficiency.
Quattr’s approach to search data opens the door to transformative business outcomes, enabling use cases that drive measurable results and sustainable growth.
Enterprises use Quattr’s analytics to identify where paid search spend overlaps with strong organic rankings, revealing opportunities to reduce redundant ad spend without impacting conversions. Conversely, Quattr highlights high-value paid keywords with weak organic coverage, informing content investments that increase long-term marketing efficiency.
Quattr’s platform enables organizations to monitor shifts in ranking cohorts, detect competitive threats, and trigger timely responses to market changes. Automated alerting and trend analysis help enterprises maintain and grow their share of voice in critical product and solution categories.
As search algorithms prioritize user-generated and community content, Quattr analyzes performance across question-based and informational queries, pinpointing areas where community engagement or thought leadership can help capture new audiences and increase brand exposure.
Quattr bridges the gap between search performance and business outcomes by unifying search, paid media, analytics, and CRM data within a single reporting layer. This empowers analytics and marketing leaders to attribute revenue, customer value, and lifetime value directly to organic search investments, moving beyond last-click models to a more complete view of the customer journey.
With Quattr, organizations eliminate data silos and achieve consistent, cross-channel measurement. Custom schemas and dimensionally-modeled datasets support robust analysis by channel, customer segment, content type, and more, unlocking insights that drive executive confidence in marketing’s contribution to revenue.
Quattr supports advanced attribution models reflecting complex customer journeys, revealing how organic search interactions contribute to both direct and assisted conversions. These capabilities enable executives to optimize channel investments based on actual, provable impact, not just traffic and impressions.
Quattr combines automated data engineering best practices with enterprise-focused governance. Optimized partitioning, clustering, and scheduled aggregations keep query costs in check and dashboard performance high, freeing internal teams from technical resource constraints.
Granular permissions and role-based access prevent accidental overspending, while sandbox environments enable exploration and innovation. Quattr’s approach ensures marketing teams operate with agility and confidence, without exposing the organization to billing or privacy risks.
Enterprises using Quattr position themselves to capitalize on the next wave of AI-driven search intelligence. With comprehensive, granular data, organizations can power predictive models, automate competitive monitoring, and identify content gaps, ensuring their search strategy remains ahead of the curve as market dynamics evolve.
Quattr empowers organizations to move beyond the constraints of native Google Search Console reporting and the complexity of self-managed BigQuery integrations. With a scalable, enterprise-grade platform, digital leaders gain full-fidelity access to search performance data, connect insights directly to business outcomes, and transform SEO into a uniquely leveraged, measurable channel for revenue growth.
The future belongs to enterprises that make smarter, faster decisions from the richest possible data foundation. With Quattr, organizations accelerate their journey to data-driven excellence, ensuring search data is not just accessible, but actionable, strategic, and a true source of competitive advantage.
To remove GSC’s 1,000-row export and 16-month limits so you can run full, queryable, long-term analysis and join search data with analytics/CRM at scale.
Quattr automates the pipeline, data validation, governance, and joins search with paid/CRM data—so teams get enterprise-ready datasets without building or maintaining ETL.
Better attribution, cross-channel ROI, long-term trend and market-share analysis, reduced ad cannibalization, and faster, data-driven decisions.
Quattr is an innovative and fast-growing venture-backed company based in Palo Alto, California USA. We are a Delaware corporation that has raised over $7M in venture capital. Quattr's AI-first platform evaluates like search engines to find opportunities across content, experience, and discoverability. A team of growth concierge analyze your data and recommends the top improvements to make for faster organic traffic growth. Growth-driven brands trust Quattr and are seeing sustained traffic growth.
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