It may aIso include your c-workers, unless on of your targt audiences is yur co-workers.However filtering a range of IP addresses may be a bit more challenging, but is definitely doable.
If youre dding several filters tht relate to ach other, such s your home lP address and wrk IP address, gt the filters name that distinguishs them. From there yur filter can excIude or include onIy certain traffic basd on ISP, lP, requested subdirectories, r requested hostname. If youd Iike to make more advanced fiIter, such as t filter a rang of IP addrsses, skip this stp. Regular expressions ar special characters tht match the dta and perform n action when match is achived. IP addresses when you connect to the internet youll be using an IP address. Theyre useful because once youve created them theyll continue to be applied, so unlike segments, you dont need to add them each time you want to perform analysis in your reports. Were going to look at 8 essential filters you should consider applying to your data in Google Analytics. If you like, you can jump straight to the filters: Exclude internal traffic Lowercase campaign tags Ensure data accuracy Lowercase page URLs Lowercase site search terms Add domain name to reports Only include a specific domain (or domains) Search and replace In this post were also going to answer the following questions: What are filters How do you create filters What types of filters can you create Can I apply multiple filters What are the critical filters I should create Which filters should I avoid Lets get started. And unlike segments and table filters, view filters permanently modify the data thats available in a reporting view. This might sound scary, but there are times when you might want to permanently prevent data from appearing in your reports. This is where you remove your own visits so that you have cleaner, more accurate data in your reports. Now that weve covered what filters are were going to look at how you can create filters inside your account. If youre new to Google Analytics and youre not familiar with terms like views and properties, then I recommend downloading my Google Analytics Glossary before you continue. Youll need edit-level permission for the view to create and apply filters. Its best practice to have at least three views for each property inside each Google Analytics account. I recommend checking that you have the following views created for each property: Primary reporting view this is what youll use for your regular reporting and analysis. Youll apply filters to this view that remove your internal visits and any other filters that are needed to provide a cleaner, more accurate set of data. It wont have any filters applied, and hopefully, youll never need to use it. For example, you can apply new filters to this view to ensure they work as you expect before theyre applied to your primary view. If youre setting up these views for the first time, then check to see if any filters are applied to the view that already contains data. If the view already has appropriate filters applied, then name it something like My Company Primary so that its clear this is your day-to-day set of reports. Then you can create a new view and name it Raw and another called Test. To create a new view click Create View at the top of the view column on the right. Now as youve probably guessed, I recommend adding filters to your testing view before you add them to your primary view. Its better to be safe since there is no undo when it comes to your data in Google Analytics. When you create a pre-defined filter, you can choose to exclude (or only include) traffic based on: ISP domain allows you to filter based on the domain of your ISP (Internet Service Provider). This is only useful if youre with a larger organization (think multinational corporation or university) that has its own dedicated internet.
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