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How to View Filtered Views in Google Analytics

Cody Schneider••8 min read

Feeling overwhelmed when you open Google Analytics is perfectly normal. You’re looking at a mountain of data that includes every stray visit, every session from your own team, and every bit of bot traffic. To get to the real insights, you first need to filter out the noise. This guide will walk you through exactly how to create and use filtered views in Google Analytics to see the data that truly matters for your business.

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What Exactly is a Filtered View in Google Analytics?

Think of your Google Analytics account as a filing cabinet. Your raw, unfiltered data is a giant drawer with every single piece of paper thrown inside - useful, but chaotic. A "View" is like creating a new, separate folder inside that drawer. A "Filter" is the rule you apply to that folder, telling Google what kind of paper to put inside it from now on.

For example, you could create a new view and then apply a filter that says, "Don't put any paper in here that comes from our own office."

Fundamentally, a filtered view is a specific subset of your Google Analytics data. Filters let you include, exclude, or modify the data an account collects. It is important to know that filters are destructive, meaning they permanently change the data they process. They apply to data from the moment they are created and do not work retroactively. This is why having a clear strategy for views and filters is so important.

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Why You Need to Use Filtered Views

Setting up filters isn't just a technical exercise, it's a foundational step to achieving accurate and trustworthy reporting. Without them, you're likely making decisions based on diluted or misleading data. Here are the most common and powerful reasons to use filtered views.

  • Remove Internal Traffic: This is the number one reason to use filters. Every time you or your team members visit your website, Google Analytics counts it as a session. This skews your metrics, from session duration to conversion rates. A simple filter can exclude all traffic from your office IPs, home offices, and agency partners, giving you a cleaner look at actual customer behavior.
  • Isolate Specific Subdomains or Directories: Does your company have a main website at yoursite.com and a blog at blog.yoursite.com? You might want a view that shows only traffic to your blog. A filter can create a dedicated view for your content team to analyze blog performance and another view to just show traffic to your app.yoursite.com subdomain for a product team.
  • Focus on Geographic Regions: If your marketing campaign only targets users in Canada, your standard reports will be clouded with traffic from all over the world. You can create a view that only includes traffic from Canada, allowing you to measure the campaign's success with total clarity.
  • Clean Up Your Data and Remove Spam: Filters are powerful tools for data hygiene. You can remove known bot and spider traffic, exclude traffic from specific referral sources known for spam, or even use filters to enforce lowercase URLs in your reports, consolidating pages like /About-Us and /about-us into a single line item.

Common Types of Filters to Get You Started

While the possibilities are nearly endless, a few core filters provide the most value for most businesses. Here are some practical examples you can implement today.

1. Excluding Your Company's IP Address

This is the essential first filter for any account. The goal is to stop tracking your own team's activity on the website.

  • Filter Type: Predefined
  • Rule: Exclude > traffic from the IP addresses > that are equal to
  • What it does: It stops GA from collecting data from a specific IP address (like your office). You can easily find your IP by searching "what is my IP address" on Google.

2. Including Only a Specific Subdomain

This helps you isolate data for a particular part of your digital footprint, perfect for teams that manage a specific section of a site.

  • Filter Type: Predefined
  • Rule: Include only > traffic to the hostname > that are equal to
  • Example Value: blog.yourcompany.com
  • What it does: This view will now only contain data for sessions that occurred on the blog subdomain.
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3. Forcing Lowercase URLs

Inconsistent capitalization in campaign links can split your data for the same page into multiple rows, making analysis a pain. This filter fixes it.

  • Filter Type: Custom > Lowercase
  • Field to Filter: Request URI
  • What it does: It takes the URL path (everything after your domain) of every hit and converts it to lowercase before storing it, ensuring /product/abc and /product/ABC are reported as a single page.

Step-by-Step: How to Create a New View

Before you can apply a filter, you need a new, dedicated view to apply it to. Best practice dictates that you should always maintain at least three views for any property:

  1. Raw Data View: Untouched and unfiltered. This is your permanent backup of all data. Never, ever apply a filter here.
  2. Test View: A place to try out new or complex filters to ensure they work as expected before you apply them to your main reporting view.
  3. Master View (or Reporting View): The primary view you use for analysis, with proven filters (like excluding internal IPs) applied.

Here’s how to create the new view that will become your "Master View."

  1. Navigate to your Google Analytics account and click on the Admin gear icon in the bottom-left corner.
  2. In the Admin screen, make sure you have the correct Account and Property selected in the first two columns.
  3. In the third column ("View"), click the blue + Create View button.
  4. Give your new view a descriptive name. Something like "Master View - Filtered" is clear and universally understood.
  5. Select the appropriate Reporting Time Zone for your business.
  6. Click the Create View button.

That's it! You now have a fresh, clean view. Remember, this new view will only start collecting data from this point forward, it will not have any of your historical data.

Step-by-Step: How to Add a Filter to a View

With your new "Master View - Filtered" ready, it's time to add your first and most important filter: excluding internal IP traffic.

  1. In the Admin panel, make sure you have your newly created view ("Master View - Filtered") selected in the View column dropdown. This is a critical step – you want to guarantee you aren't applying a filter to your Raw Data view.
  2. Under the View column, click on Filters.
  3. Click the red + Add Filter button.
  4. Enter a descriptive Filter Name. For example, "Exclude Office IP Traffic."
  5. Leave the "Filter Type" set to Predefined.
  6. Use the dropdown menus to create the following rule: Exclude > traffic from the IP addresses > that are equal to.
  7. In the IP address field, enter the IP address you want to exclude.
  8. Click Save.

Congratulations! From this moment on, your "Master View - Filtered" will no longer record sessions from that IP address, giving you far more accurate data for your reporting.

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Viewing and Using Your New Filtered Data

Now that you've done the setup, accessing your clean data is simple. At the top of any Google Analytics report (like Audience > Overview or Acquisition > All Traffic > Source/Medium), you'll see a dropdown menu that says "All Web Site Data." This is where you select your view.

Simply click on it and choose your newly created "Master View - Filtered." All the charts and tables on the page will now refresh to show only the data collected in that view.

Keep a few things in mind:

  • It can take a few hours (sometimes up to 24) for data to start populating in a new view and for filters to fully process.
  • You can check if your IP filter is working by visiting your website and then looking at the Realtime > Locations report in your "Raw Data" view. You should see your city there. Now, switch to your "Master View - Filtered." If the filter is working, you shouldn't see your session appear.
  • Get into the habit of always double-checking which view you're looking at before you start pulling numbers or analyzing performance.

Final Thoughts

Setting up filtered views is one of the most impactful things you can do to transform Google Analytics from a confusing sea of numbers into an accurate and reliable tool for business intelligence. By cleaning out noise like your team's traffic, you gain the confidence to make smarter decisions about marketing, content, and product strategy.

Once you have clean, trustworthy data flowing into Google Analytics, the next step is often to combine it with performance data from other platforms like Facebook Ads, Shopify, or your CRM. At Graphed , we make that part effortless. We help you connect all your data sources and create real-time dashboards using simple, natural language, making it easy to see the full customer journey and understand performance without jumping between a dozen tabs or struggling with spreadsheets.

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