Google Analytics

Overview of Google Analytics integration with Statsig

Statsig's Google Analytics (GA4) integration enables you to seamlessly send logged events and exposures directly to your GA4 property. This powerful feature enhances your existing Google Analytics tracking by enriching it with additional data collected by Statsig's logging SDKs. By forwarding exposures and logged events to a configured GA4 Data Stream, you gain a more comprehensive view of user interactions and experiment impact.

Integrating Statsig with Google Analytics simplifies your codebase by eliminating the need to manage multiple tracking libraries. Instead of orchestrating separate SDKs for feature flagging, experimentation, and analytics, you can leverage Statsig's unified platform. This streamlined approach reduces complexity, minimizes potential errors, and allows you to focus on building and optimizing your product.

With the GA4 integration, you can effortlessly join data about experiments created in Statsig with existing analytics events in Google Analytics. This enables you to gain deeper insights into how different experiments influence user behavior and key metrics. By analyzing the combined data, you can make data-driven decisions, identify winning variations, and optimize your product for better user engagement and conversion rates.

Configuring the Google Analytics integration

To set up the Google Analytics 4 (GA4) integration with Statsig, you'll need to create a Data Stream in your GA4 property settings. Navigate to the "Data Streams" section and either select an existing stream or create a new one.

Once you have a Data Stream, generate an API secret to enable secure data transmission between Statsig and Google Analytics. In the stream settings, create a new secret and copy the generated key.

With the API secret in hand, head over to your Statsig project settings. Under the "Integrations" tab, find and enable the Google Analytics integration. Paste your API secret and the optional measurement ID into the provided fields and confirm the setup.

By completing these steps, you establish a connection between Statsig and Google Analytics, allowing Statsig to forward logged events and exposures to your GA4 Data Stream. This integration enhances your existing Google Analytics tracking with additional data collected by Statsig's logging SDKs.

The Google Analytics integration simplifies your code by eliminating the need to orchestrate two separate libraries for logging events. It enables you to join data about experiments created in Statsig with existing analytics events in Google Analytics, providing deeper insights into how different experiments impact user interactions on your website or application. Event filtering allows you to control which Statsig events are sent to Google Analytics 4. This ensures only relevant data is forwarded, keeping your GA property clean and focused.

By joining Statsig experiment data with existing GA events, you can gain a holistic view of user behavior. This integration enables you to understand how experiments impact key interactions tracked in Google Analytics.

Leveraging the Statsig-GA4 integration provides deeper insights into how experiments influence user actions. You can analyze experiment results alongside existing GA metrics, revealing the full impact of your tests.

To get the most out of this integration, consider:

  • Carefully selecting which Statsig events to forward based on their relevance to GA reporting

  • Ensuring consistent naming conventions between Statsig and GA events for seamless data joining

  • Regularly reviewing experiment results in both Statsig and Google Analytics to identify trends and opportunities

By combining the power of Statsig's experimentation platform with Google Analytics' robust tracking capabilities, you can make data-driven decisions with confidence. This integration streamlines the process of understanding how your experiments affect user behavior across your product.

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What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
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Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
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