Post by account_disabled on Mar 6, 2024 3:16:07 GMT
The audit and keep in mind the importance of hierarchy. It is a good idea to include channels with the most exclusive rules further up in the hierarchy and then include those with broader rules lower down. Channel Grouping Example Rules Direct Source exactly matches Direct AND Medium exactly matches not set OR Medium exactly matches none Paid Search Medium matches regex cpcppcpaidsearch AND Source matches regex googlebing Retargeting Medium matches regex cpcppcretargeting AND Source matches regex adrollcriteo Organic Search Medium exactly matches organic OR Source matches regex uckgo.co myahoo Paid Social Media Medium matches regex cpcppcpaid.
AND Source matches regex facebooklinke dintwitteri nstagram Organic Social Media Greece Mobile Number List Source matches regex facebooklink edintwitter AND Medium matches regex networksocial media Promotional Email Medium exactly matches email AND Source exactly matches promo Transactional Email Medium exactly matches email AND Source exactly matches trans Triggered Email Medium exactly matches email AND Source exactly matches trigger Other Advertising Medium matches regex cpvcpacpp Affiliate Medium matches regex affiliate Referral Medium matches regex referral Display Source matches regex doubleclick Once you have created your new channel grouping apply it and review the specific traffic that is being grouped within each channel. It is perfectly normal for there to be a few items that may not have been grouped correctly and youll need to troubleshoot your rules.
The most common issues will likely be related to the hierarchy of channels so look here first to make modifications and then revise the exclusivity of rules. Also remember that regular expressions are exclusive so Facebook.com would not be accounted for within the regex facebooklinkedintwitter. There are a number of minor issues you may encounter along the way but by following this overarching auditing process youll have an easy way to make informed decisions when it comes to creating and modifying rules. . Heres one I made earlier B SwNwjNriN KVqYoUbNoG UPEgmcyLBwnb_AA Youll notice many of the channels have undergone a change with regards to the volume of traffic they are accounting for. Although these changes may appear small they open up the doors to powerful ataglance insights. Foundationally this also provides us with a better platform for analyzing multitouch attribution reports. Here is an example of a simple First Interaction vs. Last Interaction attribution model.
AND Source matches regex facebooklinke dintwitteri nstagram Organic Social Media Greece Mobile Number List Source matches regex facebooklink edintwitter AND Medium matches regex networksocial media Promotional Email Medium exactly matches email AND Source exactly matches promo Transactional Email Medium exactly matches email AND Source exactly matches trans Triggered Email Medium exactly matches email AND Source exactly matches trigger Other Advertising Medium matches regex cpvcpacpp Affiliate Medium matches regex affiliate Referral Medium matches regex referral Display Source matches regex doubleclick Once you have created your new channel grouping apply it and review the specific traffic that is being grouped within each channel. It is perfectly normal for there to be a few items that may not have been grouped correctly and youll need to troubleshoot your rules.
The most common issues will likely be related to the hierarchy of channels so look here first to make modifications and then revise the exclusivity of rules. Also remember that regular expressions are exclusive so Facebook.com would not be accounted for within the regex facebooklinkedintwitter. There are a number of minor issues you may encounter along the way but by following this overarching auditing process youll have an easy way to make informed decisions when it comes to creating and modifying rules. . Heres one I made earlier B SwNwjNriN KVqYoUbNoG UPEgmcyLBwnb_AA Youll notice many of the channels have undergone a change with regards to the volume of traffic they are accounting for. Although these changes may appear small they open up the doors to powerful ataglance insights. Foundationally this also provides us with a better platform for analyzing multitouch attribution reports. Here is an example of a simple First Interaction vs. Last Interaction attribution model.