Query builder interface
Build GA4 BigQuery queries through a user interface instead of constructing SQL manually. The product positioning centers on speed and reducing query-writing effort.
GA4 SQL
소유권 인증GA4 SQL is a web-based GA4 BigQuery query builder that lets analysts and marketers create analytics queries from a UI instead of writing SQL by hand.
Overview
GA4 SQL is a web-based query builder for Google Analytics 4 BigQuery queries. Its main purpose is to help users generate GA4 SQL through a user interface instead of writing complex BigQuery statements by hand.
The homepage shows a builder centered on date ranges, metrics, and dimensions, including GA4 reporting concepts such as sessions, users, engagement rate, revenue, campaign data, landing pages, and page titles. That makes the product useful for analysts who want to assemble analytics queries more quickly and with less manual SQL work.
Features
Preset and custom date ranges
The homepage exposes selectable report dates such as yesterday, last week, last month, year to yesterday, and custom date ranges with start and end dates.
Metric selection
The interface includes a metric selector with GA4-style measures such as sessions, users, engagement rate, bounce rate, purchases, revenue, and ecommerce event counts.
Dimension selection
The interface includes a dimension selector with fields such as session source, medium, campaign name, landing page, page title, and user IDs.
Analytics-focused query generation
The rendered homepage text also references Google Search Console alongside Google Analytics 4, suggesting the builder is designed around analytics query generation across those surfaces, though the source does not document the exact scope.
Use Cases
GA4 reporting queries
Analysts can build a query for sessions, users, engagement rate, or bounce rate without composing SQL from scratch for every report.
Traffic and campaign analysis
Marketing teams can explore session source, medium, campaign name, and landing page fields when they need attribution-oriented analysis.
Ecommerce performance analysis
Ecommerce teams can work with purchases, revenue, refunds, cart actions, checkout steps, and item-level metrics to inspect purchase funnels.
Date-scoped analysis
Teams that need ad hoc reporting can use preset date ranges or custom start and end dates to target a specific period before exporting or further processing the query.
Pros and Cons
Pros
- Generates GA4 BigQuery queries through a user interface.
- Includes a broad set of GA4-oriented metrics and dimensions on the homepage.
- Supports both preset and custom date ranges.
- Covers common analytics questions around traffic, engagement, ecommerce, and attribution.
Cons
- The available sources do not document pricing, so the commercial model is unclear from the collected evidence.
- The site does not include a supported integration or help page in the collected sources, so setup details and export behavior are not confirmed.
FAQ
What does GA4 SQL do?
The homepage describes GA4 SQL as a GA4 BigQuery query builder that generates queries through a user interface. It is meant to reduce the need to write complex BigQuery queries by hand.
How is it used?
The source does not describe any setup flow, connected accounts, or required installations. Based on the homepage copy, it is used as a web interface for generating queries rather than a data warehouse or reporting destination.
Which data sources or integrations are supported?
The rendered homepage text lists GA4 and Google Search Console in the interface, but the site does not provide a supported integration page or documentation confirming a broader integration set.
What does GA4 SQL cost?
The pricing page in the collected sources returns a 404 Not Found, so the available evidence does not confirm live pricing, plan names, or limits.
Quick Facts
- Category
- Analytics Query Builder
- Primary use
- Generate GA4 BigQuery queries
- Interface
- Web user interface
- Source domain
- ga4sql.com
- Related surface
- Google Search Console is referenced on the homepage
- Pricing page status
- The collected pricing URL returns a 404 Not Found
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