You’ve just launched a new website, and your traffic analytics are already soaring. You can’t wait to share them with your team, and then your metrics increase even more – until you realize that a significant portion of the traffic came from your colleagues. That’s never good!
Let’s talk about what that means for your digital marketing strategies.
It’s as straightforward as it sounds - IP exclusion intentionally excludes certain IP addresses.
Analytics are the most valuable when you’re confident in their accuracy and utilize them to gain insights and adjust your content accordingly. If you’re including your team’s internal traffic on your website, you’re skewing your stats and making data-driven decisions based on your team’s behavior, not the behavior of your users!
Your headquarters office network and any other office locations. If you are using a VPN, ensure that this is excluded for all business locations.
Home IP addresses of employees, partners, web and IT teams, or contractors who work from home, especially those in sales, IT/web, and marketing who may contribute to site traffic. Personal networks may be dynamic IP addresses, we recommend verifying that your exclusion list is up to date regularly. A quarterly audit is a great practice!
IP Addresses That You Can’t Typically Exclude:
Internal IP exclusion shouldn’t just be considered when analyzing your web traffic analytics. Internal IPs can also be excluded from several digital advertising platforms to ensure that your campaign spends are optimized and to avoid overserving retargeting ads or unintentionally directing impressions towards internal or client teams.
If we know anything about digital marketing, it’s that data analytics matters. Are your analytics honest? Your numbers might be inflated if you’re not thinking about your internal traffic (or all those work-from-home hours that people have been logging recently).
Without properly setting up your analytics and internal IP exclusions, you could be throwing off your web traffic data, including things like web sessions, bounce rate, or other data points. IP exclusion helps ensure that UX decisions are driven by the behavior of your users, not your team.
So you’re ready to exclude your internal IP addresses from your web traffic? Great! Because it’s a relatively easy task that can have a measurable impact on data quality and accuracy.
First, Google “What’s My IP” to find your public IP address. There are four primary types of IP addresses, public, private, static, and dynamic. You will have to ask all remote employees or employees in other offices to do the same to exclude all relevant internal traffic from your analytics.
With the move from Universal Google Analytics to GA4, the steps for setting up the list of IP addresses to exclude have changed. For the most up-to-date instructions visit Google's help center article GA4 Filter Out Internal Traffic.
Make sure that you have admin access to update these settings within your HubSpot portal.
Most digital advertising platforms have some sort of IP exclusion feature built-in. To better understand capabilities and processes, check with your platform or digital team.
Remember to do this for each office location, each home office, AND check for updates each quarter or year just in case anyone has a dynamic IP address (which changes from time to time).
If you track analytics in Google and HubSpot, you should do this process in both places for every relevant IP address to ensure data accuracy.
Heatmapping tools like HotJar or Lucky Orange provide invaluable insight into user behavior on web pages. Our team is a strong advocate for testing and monitoring using Heatmapping and recording tools to inform UX updates on web pages, digital assets, and landing pages.
Internal and development teams should be excluded from any platforms that help monitor behavior that could inform UI/UX decisions.
If your web traffic and engagement data are skewed from your internal traffic, you’re hijacking your future marketing efforts and UX decisions.
Taking the time to exclude internal IP addresses regularly is a simple step toward more reliable data. Then, and only then, will your analytics be primed to inform solid, lead-generating, and data-driven decisions!