As with the single distribution, you can create a source cookie and use it to selectively activate your tags based on the group in which the user is located. If the number is not in the distribution, the cookie is false. The multiple distribution makes it possible to create different groups, each group has a probability weight that includes the user. If the random number is 93, it will not be included in a group and the cookie will not be set. When the tag is enabled, a random number generator extracts a number from that range and, if the number is within the specified range, a cookie called _gtm_group is written with the actual value. For example, if the random number is 15, it is included in the group1 variation because that group would contain values between 11 and 30. Note that if you change the cookie name, you must change the model rights ** so that GTM is 68, it is included in the group3 variation because this group would contain values between 51 and 70. In this article I will show you how to use a simple tag template to divide your users into groups based on the random distribution. This number is then compared to groups, starting at the top, and the distribution is calculated in steps of up to 100, which simply means that there will be a probability distribution that the cookie will not set. By expanding the Cookie settings group, you can change the details of the cookie set. If you have Auto in the cookie domain fields, it means that GTM is trying to write the cookie to the highest domain name in the hierarchy that it can.
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