Incorrectly set triggers
Posted: Wed Dec 18, 2024 8:51 am
In addition, you should ask yourself whether this is the best metric to use as a KPI. For example, you can better choose to only monitor the speed progression with this metric. Critical periods are for example after a live release or other adjustments.
Duplicate scripts
Many websites start with a 'regular' Google Analytics account. This is then put into the code with a simple GA script. As soon as a marketing party is added, many websites switch to Google Tag Manager. Marketing agencies want to collect as much (and sometimes the most nonsensical) data as possible.
Google Analytics is then also added to Google Tag Manager. This gives you a double Google Analytics script on your site. If you have multiple scripts running, this also means that multiple page views are passed on. This ensures that your bounce rate is incorrect. A bounce is the case when only one page view is passed on. After all, the visitor only visits one page. When two scripts are running, two page views are passed on. This will give a bounce of 0.
Duplicate scripts cause incorrect data! So check carefully whether there are no duplicate scripts after Google Tag Manager. This of course applies to all third-party scripts. This can be done, for example, with the Tag Assistant Chrome extension .
We stick with Google Tag Manager. It is of course an ideal tool to measure different elements on your site. But an incorrect setting can cause you to work with incorrect data and therefore base your decisions on incorrect assumptions.
For example, you can measure a specific call-to-action button. The right settings will provide you with useful data. In the meantime, a developer is making adjustments to the shop. This causes the button to disappear or be moved, without you knowing about it. The data stops or data comes in from a completely different source.
So, take a very careful look at all trigger cambodia telegram data elements. Especially after any live releases and design changes.
Bot traffic
Wow! Your traffic is growing nicely and you are getting a lot of data. You dive further into the data. What do you see: a lot of bot traffic is coming in! This bot traffic can be between 20 and 50 percent of the total traffic.
Bot traffic not only causes incorrect data in Google Analytics, but can also cause ddos attacks, site scraping , SEO spam or just plain fraud.
Fortunately, Google makes sure that a lot of bot traffic is already blocked. Nevertheless, it is useful to keep an eye on this yourself.
You can check this as follows:
Check bot traffic in Google Analytics.
Go to Acquisition > All Traffic > Channels. Choose 'Hostname' as the primary dimension. You will now see any bot traffic. To clean up your data, it is useful to exclude these bots via filtering.
Duplicate scripts
Many websites start with a 'regular' Google Analytics account. This is then put into the code with a simple GA script. As soon as a marketing party is added, many websites switch to Google Tag Manager. Marketing agencies want to collect as much (and sometimes the most nonsensical) data as possible.
Google Analytics is then also added to Google Tag Manager. This gives you a double Google Analytics script on your site. If you have multiple scripts running, this also means that multiple page views are passed on. This ensures that your bounce rate is incorrect. A bounce is the case when only one page view is passed on. After all, the visitor only visits one page. When two scripts are running, two page views are passed on. This will give a bounce of 0.
Duplicate scripts cause incorrect data! So check carefully whether there are no duplicate scripts after Google Tag Manager. This of course applies to all third-party scripts. This can be done, for example, with the Tag Assistant Chrome extension .
We stick with Google Tag Manager. It is of course an ideal tool to measure different elements on your site. But an incorrect setting can cause you to work with incorrect data and therefore base your decisions on incorrect assumptions.
For example, you can measure a specific call-to-action button. The right settings will provide you with useful data. In the meantime, a developer is making adjustments to the shop. This causes the button to disappear or be moved, without you knowing about it. The data stops or data comes in from a completely different source.
So, take a very careful look at all trigger cambodia telegram data elements. Especially after any live releases and design changes.
Bot traffic
Wow! Your traffic is growing nicely and you are getting a lot of data. You dive further into the data. What do you see: a lot of bot traffic is coming in! This bot traffic can be between 20 and 50 percent of the total traffic.
Bot traffic not only causes incorrect data in Google Analytics, but can also cause ddos attacks, site scraping , SEO spam or just plain fraud.
Fortunately, Google makes sure that a lot of bot traffic is already blocked. Nevertheless, it is useful to keep an eye on this yourself.
You can check this as follows:
Check bot traffic in Google Analytics.
Go to Acquisition > All Traffic > Channels. Choose 'Hostname' as the primary dimension. You will now see any bot traffic. To clean up your data, it is useful to exclude these bots via filtering.