Does Brave Block Google Analytics?

Cody Schneider••7 min read

If you're asking whether the Brave browser blocks Google Analytics, the short answer is yes, by default. This simple fact has big implications for marketers, website owners, and anyone who relies on Google Analytics for performance data. This article guides you through how and why Brave blocks GA, what it means for your reports, and shares practical strategies to adapt to the increasingly private web.

GraphedGraphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Watch Graphed demo video

So, How Does Brave Block Google Analytics?

Unlike other browsers where you might need to install an ad-blocking extension, Brave comes with a built-in privacy shield. This feature, called Brave Shields, is the core of its value proposition and is enabled for all users right out of the box.

Brave Shields automatically blocks third-party trackers, scripts, and ads from loading on the websites you visit. Google Analytics is, by its very nature, a third-party tracking script. When you install GA, you add a piece of JavaScript code to your site that sends user data back to Google's servers. Brave Shields identifies that script (like analytics.js or gtag.js) as a tracker and prevents it from ever running in the user’s browser.

It's Not Just About Cookies

Many people associate tracking with cookies, but Brave’s approach is more comprehensive. It maintains and updates blocking lists, similar to popular extensions like uBlock Origin and Ghostery. These lists contain known domains and script signatures for thousands of analytics tools, advertising networks, and social media trackers.

When your webpage loads for a user on Brave, Shields scans everything the page tries to load. When it sees a request being made to google-analytics.com, it simply intercepts and blocks it. The user's visit, pageviews, and all potential event data never get transmitted, making them effectively invisible to your standard Google Analytics reports.

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

What a Brave New World Means for Your Data

The rise of privacy-focused browsers like Brave (along with enhanced privacy features in Safari and Firefox) means that a growing segment of your audience is becoming a blind spot in your data. Here are the main ways this impacts your reporting.

1. Underreported Traffic and User Counts

The most obvious impact is that your total user and session counts in Google Analytics will be lower than reality. If 5% of your audience uses Brave, you're missing 5% of your traffic data right off the bat. While Brave's market share is still relatively small compared to Chrome, it's growing steadily, particularly among tech-savvy and privacy-conscious users. Depending on your niche, this could represent a significant and valuable portion of your audience.

2. Skewed Demographic and Device Data

Lost data isn't just about volume, it's about context. The type of person who chooses to use Brave is not a random sample of the general public. They are often more technically proficient, more concerned about online privacy, and potentially more located in specific tech hubs. When you lose this entire segment, the remaining data you have becomes skewed.

For example:

  • Your reports might show a lower percentage of desktop users than you actually have, as many privacy advocates use Brave on their primary computer.
  • If you market a developer tool or a crypto product, you could be losing data from a large chunk of your core audience, leading you to believe your marketing isn't resonating when it actually is.
  • You may draw incorrect conclusions about which content is popular because the preferences of your Brave-using audience are completely absent.

3. Inaccurate Conversion and Attribution Tracking

This is where data loss causes the biggest headaches. If a user on Brave clicks a paid ad, comes to your site, and makes a purchase, Google Analytics will likely never know about it. The conversion won't be recorded, and the ad campaign won't get the credit it deserves.

This can lead to poor decision-making. You might pause a marketing campaign that appears to have zero ROI, when in reality, it's driving sales from users whose tracking is simply being blocked. Without accurate attribution, optimizing your ad spend becomes a guessing game based on incomplete information.

GraphedGraphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Watch Graphed demo video

Can Users Turn Off Brave's Shields?

Yes, users have full control. They can click the Lion icon in the Brave address bar and lower the Shields for any specific website, allowing ads and trackers (including Google Analytics) to run. However, it's important to remember that people choose Brave specifically for these privacy features. The vast majority of them will never turn Shields off, so relying on this is not a viable strategy.

How to Adapt Your Analytics Strategy

Instead of trying to fight the tide of increased privacy, the smartest move is to adapt. Relying solely on a client-side tool like standard Google Analytics is no longer enough. Here are three strategies to build a more resilient and accurate analytics stack.

Strategy 1: Embrace First-Party Data

While browsers are cracking down on third-party tracking, they don't block the data your own systems generate. This is your first-party data, and it's your most reliable source of truth. It includes:

  • Sales data from Shopify, Stripe, or your e-commerce platform. This tells you precisely what was bought, when, and for how much.
  • Lead data from your CRM like Salesforce or HubSpot. This shows you who filled out forms, requested demos, and entered your sales pipeline.
  • Email engagement data from Klaviyo or Mailchimp. This tells you who is opening your campaigns and clicking your links.

This data is 100% accurate because it happens on your own servers. The goal then becomes correlating this definitive data with the directional trends you see in advertising and analytics platforms.

Strategy 2: Explore Server-Side Alternatives

One of the more technical but powerful solutions is server-side analytics. Instead of your user's browser sending data directly to Google, it sends data to a server that you control. Your server then processes this data and forwards it to Google Analytics (or other platforms).

How does this help?

Because the initial tracking request goes from the user's browser to your own domain (e.g., data.yourwebsite.com), it's considered a first-party request, not a third-party one. Privacy tools like Brave Shields are far less likely to block first-party requests, leading to much more accurate data collection.

Google offers its own solution with Server-Side Tagging in Google Tag Manager. While it gives you more control and cleaner data, it also requires more technical setup, including maintaining a cloud server. For many small-to-medium businesses, this can be a difficult hurdle to clear.

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

Strategy 3: Focus on a Blended, Cross-Platform View

The most practical approach for most teams is to stop treating Google Analytics as an ultimate source of truth and start viewing it as one signal among many. The days of logging into a dozen different platforms to figure out what's working are tedious and time-consuming. True insight comes not from looking at pageviews in isolation, but from connecting activities across your entire marketing and sales funnel.

This often means pulling data from various sources into a single place. The typical workflow involves:

  • Downloading a CSV from Facebook or Google Ads with spend and click data.
  • Exporting a traffic report from Google Analytics.
  • Getting sales or lead data from Shopify or HubSpot.
  • Manually stitching all three together in a complex Excel or Google Sheet to calculate true ROI.

This process is exactly what modern BI tools were built to solve - connecting disparate data sources to give you a complete and reliable picture of your performance.

Final Thoughts

Brave’s decision to block Google Analytics by default is part of a much larger trend toward online privacy. Trying to find clever workarounds will always be a temporary fix. A better, long-term approach is to evolve your analytics strategy by diversifying your tools, prioritizing your first-party data, and seeing your platforms not as silos, but as connected parts of a whole.

The manual drudgery of pulling data from Google Analytics, Shopify, Facebook Ads, and Salesforce to build a clear picture of performance is what led us to create Graphed. We wanted a way to connect all our sources in one place and ask simple, plain-English questions to get back instant reports and dashboards. Instead of spending hours in spreadsheet chaos every week, we can now see our full cross-platform ROI in seconds. By automating the data wrangling, we get to spend more time acting on insights and much less time just trying to find them.

Related Articles