Understanding Referral Spam in Google Analytics
Referral spam is a frustrating problem for website owners that use Google Analytics to track their website’s performance. Referral spam has the potential to skew data, artificially inflate website traffic numbers, and disrupt website analytics. Therefore, it is vital to block referral spam in Google Analytics to ensure accurate data and meaningful insights.
One of the most common types of referral spam is ghost spam, which is characterized by sending fake traffic through your Google Analytics tracking code without actually visiting your website. These types of spam visits are often referred to as “referrals” from suspicious domains, such as “aildorshop.xyz.”
What is “aildorshop.xyz” and Why Is It a Problem?
Referral spam from aildorshop.xyz is particularly harmful as it can negatively impact website analytics data and compromise website security. Aildorshop.xyz sends traffic to Semalt.com. Semalt.com is a website that offers digital marketing services such as SEO and web analytics. They are notorious for using aggressive spam techniques, including referral spam and keyword stuffing, to promote their services and increase website traffic.
Referral spam from websites like aildorshop.xyz can distort website analytics data by generating fake traffic, skewing metrics, and leading to misguided business decisions and ineffective campaigns. This can create a false perception of high website traffic and cause website owners to allocate their marketing budgets poorly, resulting in lost revenue and lower conversion rates.
Furthermore, referral spam from aildorshop.xyz can compromise website security by potentially opening doors to phishing attacks, malware infections, and other malicious activities. When users click on suspicious links from aildorshop.xyz, they may unknowingly expose themselves to security risks, causing significant harm to both website owners and users. This can lead to a loss of trust in a website and ultimately result in lost revenue and damaged reputation.
How to Block “aildorshop.xyz” and Other Suspicious Domains in Google Analytics
To combat referral spam from aildorshop.xyz, website owners should use Google Analytics filters to exclude spam traffic from their analytics data. By blocking suspicious domains like aildorshop.xyz and regularly monitoring their analytics data, website owners can ensure accuracy and security, combat referral spam, and maintain an effective website.
Step 1: Create a New Filter
- Start by logging into your Google Analytics account and navigating to the Admin section. From there, click on “Filters” under the View column, and then click “Add Filter.”
Step 2: Define the Filter
- Next, choose “Custom” as the filter type and select “Exclude” as the filter type. In the “Filter Field” drop-down menu, choose “Campaign Source.” In the “Filter Pattern” field, enter “aildorshop.xyz” and click on “Verify this filter” to ensure it is set up correctly.
Step 3: Apply the Filter
- Finally, give your filter a descriptive name, such as “Referral Spam Filter,” and select the views that you want to apply the filter to. Click “Save” to apply the filter.
The filter will now exclude all traffic from “aildorshop. xyz” and any other domains that you add to the filter. However, it is essential to note that the filter will not remove spam visits that have already been recorded in your analytics data.
Furthermore, while this method is an effective way to block referral spam, it is not foolproof. Referral spam can come from a range of different domains, so it’s essential to keep a close eye on your data and adjust your filters accordingly.
To avoid referral spam, it’s also worth noting that some experts suggest that you should use the Google Analytics Tracking Code (GATC) to avoid spam visits altogether. The GATC is a more secure way to track website performance because it doesn’t rely on the referral information to track user behavior.
To use GATC, all you need to do is add the tracking code to your website’s header, and it will automatically collect data on your website’s performance. This method is an excellent way to avoid referral spam, but it’s also worth noting that it can be more challenging to set up than the filter method.
In conclusion, referral spam is a significant problem for website owners. Still, with the proper tools and knowledge, it is possible to block spam traffic and ensure accurate analytics data. By following the steps outlined above, you can block “aildorshop.xyz” and other suspicious domains from your Google Analytics and keep your data clean and meaningful. However, it is essential to keep a close eye on your data, adjust your filters as needed, and consider implementing the GATC to avoid referral spam altogether.