Get better, faster insight from Google Analytics 4
Industry leading connectors for GA4 API and GA4 BigQuery reporting
Trusted by Standard and 360 customers for routine and advanced processing of Google Analytics data
Google Analytics API Expertise
Access to GA4 Data API with confidence. Our connector helps to you stay within your daily token limits, eliminates sampling, loads your historic data, and keeps it up to date.
GA4 BigQuery Event Export
Access the GA4 BigQuery event export without writing SQL, analyze millions of rows of user level detail, and control your BigQuery processing costs.
Multiple Accounts and Properties
Seamlessly pull data from dozens, hundreds, even thousands of Google Analytics Properties and Google accounts. Perfect for agencies and brands with multiple sites.
Sync GA4 data with your Databases + BigQuery
Push Google Analytics data into MySQL, SQL Server, Access, Oracle, PostgreSQL, BigQuery and more on a nightly basis. Use the BigQuery export and intraday tables for near real-time reporting.
Export Google Analytics data to Looker Studio
Manage your API tokens with ease by staging the data and incrementally loading it. No more token issues interrupting your reports!
Blend Google Analytics with internal data sources
Blend your historic UA and GA4 data together and with other internal data sources, including reference files, sales, CRM data, Ad data, and more
Organize and Automate your GA4 reporting
As a specialty data-prep tool with a focus on Google Analytics reporting, Analytics Canvas has all the tools you need to connect to GA4 data, work with it in a safe environment that can handle any size of data, and publish your report tables to your preferred BI tool, whether that's Tableau, PowerBI, Looker Studio, or something else.
Use the API connector to generate and update your reports, or the no-code GA4 BigQuery Event Export connector for more sophisticated analysis without the sophisticated SQL!
Reduce and eliminate sampling in Google Analytics 4
Whether using Google Analytics or Analytics 360, sampling can impede your analysis. Analytics Canvas makes it possible to get accurate, unsampled data from both Standard and 360 accounts.
With the ability to use the right API for the right query, Canvas lets you stop worrying about sampling so you can analyze your data with confidence.
Access GA4 data from multiple Google Accounts and Properties
Select as many properties (websites, mobile apps, or devices) as you'd like from as many accounts as your company or agency has access to, define a query, and have all your data in one place. Include meta-data such as Account ID, Property IDs, sampling, thresholding and "other" detection into the data set for better data governance and data quality assurance.
Export Google Analytics data to databases and BigQuery
Easily connect data by bringing other sources of data into a canvas: Postgres database from a Web app, a SQL database from an eCommerce site, an Excel file with CRM and sales data, or a CSV file with data from social networks.
Export Google Analytics data and view it in Tableau, Looker Studio, Power BI, and more
Dedicated connectors for Looker Studio and Tableau to stage your data, controlling costs and eliminating token constraints.
Connect Google Analytics data to Excel dashboards
Create a workflow for your reports by defining the steps in a visual environment. Define steps for importing data, performing calculations and transformations, and exporting data into the right place in your Excel template.
Run your report and Canvas will fetch the raw data, create a new version of your dashboard, and even email it to stakeholders.
Create custom funnels and segments with the GA4 BigQuery export
Analyzing funnels has never been easier. For eCommerce and lead generation sites, funnel optimization lets you analyze funnels daily and track performance over time. It’s custom funnel functionality without having to buy Google Analytics 360.
No coding required
We are Google Trusted Testers and keeping up with Google Analytics is our business. Why waste another minute hard-coding to the API or writing SQL when you can have the full flexibility to make changes and keep up to date for as little as $49/mo?