Google Analytics: how to exclude your IP Address with Filters

The free website analytics solution – Google Analytics – is a powerful tool which can give you a thorough and comprehensive review of every aspect of activity performed on your web site. Knowing what is working for your web site at present time helps you to discover areas that need improvement or where and how to expand successes. To make sure your analytics reports are correct, you should filter out your internal or network traffic by excluding your IP address from Google Analytics.

Google Analytics can help you in your SEO efforts

Learning how to use Google Analytics as a tool to improve your web site performance is one of the most important steps in your SEO [search engine optimization] campaign: you can track where your traffic comes from and the volume of that traffic, what are the entrance keywords that brought visitors to your web site, you can set and track your goals and sales – conversion rates, find out where your visitors leave your site, track external clicks and have your bounce rates explained. Google Analytics helps you to optimize your keywords for SEO, track E-Commerce – if your web site lists products for sale or you have pay-per-click adwords on the site.

The advantages of using Google Analytics also include setting up automatic e-mail reporting (you specify what information you want to have reported and the time interval between e-mails), applying filters to gain correct and beneficial data, and tracking the users’ actions for each visit to your web site.

Adding filters to exclude your own IP address

You will likely browse your own pages on a regular basis to answer comments, edit your content, check broken links and images, etc. However, these browsing habits can induce inaccurate data about your web site performance in your Google Analytic statistics, and therefore, introduce inaccurate assumptions and decisions on your account.

Adding filters to exclude your IP address will prevent your own internal or network traffic from twisting the facts about your real web site performance. Reported statistics such as average time spent on page, pages per visit, etc, will be more precise if you exclude your own IP address.

Tip for web site owners: if more than one person from one network works on a web site, it would be smart to exclude an IP range because adding an exclude filter to the range is easier than blocking each IP address individually.


Step # 1

Log into your Google Analytics account (

If you don’t have your Google account yet, learn how to create it and sign up for Analytics: Track your Seekyt Traffic With Google Analytics

Step # 2

Click Edit under the Settings column for the web site you want to track.

The Google Profile Settings page will appear for the site you want to track. For example, if you want to track your web pages’ performance on, the receiving data for the site will start like this:

Profile Settings:


Step # 3

Scroll down to Filters Applied to Profile box (under Goals) and click Add Filter.

The Google Analytics Create New Filter to Profile page will appear.

Step # 4

Give the filter a suitable name.

Step # 5

Select Exclude ? traffic from the IP addresses ? that are equal to ?

Step # 6

Enter your IP address in the corresponding field.

Example: (don’t use the dots – enter just the numbers)

Step # 7

Click Save changes

After these seven simple steps, the Google Analytics Dashboard page appears.

After 24-48 hours, you will be able to view your statistics as usual in the account dashboard – from now on, with your internal traffic being filtered out of the reports.

If one filter is common to more web site profiles, you can use it for different desired domains by clicking the Filter Manager link in the bottom-right side of the initial (dashboard) page (click edit next to the adequate filter, add domain and save changes).

You may also want to read:

How to link your Google AdSense Account with Google Analytics

SEO help: link building and types of links explained

Find your target audience

How to get started with search engine optimization

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