By default, the Multi Channel Funnels (MCF) in Google Analytics displays the default channel grouping under sections “Overview”, “Assisted Conversions” and “Top Conversion Paths”. Channel groupings are the platforms that are sending in traffic to your main site. The default consists of 8 different types of channels as explained below:-
Direct – Visitors who visit the website directly by entering the URL in the browser or through a bookmark.
Paid Search – Visitors who visit the website after clicking ads displayed on search networks.
Organic Search – All the unpaid search engine traffic gets reflected here.
Social Network – Visits coming from social networks are displayed under this channel. Google currently maintains a database of 400 social networks (approx.) which means visits from those sites are displayed under this channel.
Email – Visitors who visit the site through an email campaign are tagged here.
Referral – All the visits that cannot be tagged under social networks or any other channel gets displayed here.
Display – Interactions happening through a medium of display like Cost Per Impressions (CPM) or through content ads from Adwords.
Other Advertising – All the other forms of advertisement other than the paid search gets displayed here.
Now, suppose you wish to track visits coming from any other custom channel other than those given above and by default supported by Google, you need to create a custom channel grouping under Multi Channel Funnels (MCF).
The steps for creating a new group are given below:
1- Log into your GA account and move to the “Multi Channel Funnel” tab.
2- Click either on “Assisted Conversions” or “Top Conversion Paths”.
3- Click on “Channel Grouping” displayed under main metric table.
4- Now, click on “Create a Custom Channel Grouping” and fill in the appropriate details like the channel name,
definitions, rules and a display colour.
5- Click Save.
Next time when any visitor interactions happen through your defined channel, you will be able to see that under visitor metrics in Google Analytics.
Hope you enjoyed this tutorial. Stay tuned for even more.
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