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Understanding Google Analytics Channels

Published April 8, 2016
One of the most exciting and important aspects of digital marketing is the ability to understand exactly how your customers are finding you. It informs every single part of integrated campaigns and helps determine which efforts are working and which ones need to be revisited. Google Analytics allows you to zero in on the performances of different marketing channels to evaluate everything from brand awareness to social media messaging. To get the most insight from that data, it’s crucial to understand exactly how Google sorts your traffic.
Channels in Google Analytics are high-level categories indicating how people found your site. While the Source/Medium report shows you in more detail where people came from, Channels are broader, more “user-friendly” names lumping visits together in buckets useful for high-level reporting categories.
For instance, Facebook Sessions often show up in multiple ways in the Source/Medium report. They may appear as facebook.com, m.facebook.com, and l.facebook.com, all of which are variations of the same source. The Channels report will include all of these in the Social bucket, so you can see less granular, aggregate numbers on social media performance.

 

Google Analytics Channels Blog Image

 

Default Google Analytics Channels

The default channels are:

  • Direct:
  • Organic Search:
    • Indicates visits from organic (unpaid) search results
    • Determined by medium of organic
  • Social:
    • Indicates visits from social networks (Facebook, Twitter, etc.)
    • Determined when Social Source Referral matches “yes;” Google Analytics also places these in the referral “bucket” matching a list of known social sources or when medium matches social, social-network, social-media, sm, social network, or social media
  • Email:
    • Indicates traffic from links clicked in email messages, whether mass email marketing or individual messages
    • Determined by medium of email
  • Affiliates:
    • Indicates traffic from affiliate marketing efforts
    • Determined by medium of affiliate
  • Referral:
    • Indicates traffic where users clicked a link from another site, excluding major search engines
    • Determined by medium of referral
  • Paid Search:
    • Indicates traffic from PPC campaigns run in search results
    • Determined by medium of cpc, ppc, or paidsearch; also, excludes traffic in “Content” bucket of ad networks
  • Other Advertising:
    • Indicates traffic from online advertising outside of search and display, such as cost-per-view video advertising
    • Determined by medium of cpv, cpa, or cpp
  • Display:
    • Indicates traffic from display advertising, such as Google AdWords remarketing campaigns
    • Determined by medium of display, cpm, or banner, or in “Content” bucket of ad networks (indicating Google Display Network)

Common Problems

While these channels may seem like straightforward categories, Google Analytics lumps traffic into a channel based on the source and/or medium. This means that the quality of the data depends on how good a job we do at tagging our campaigns. For example, traffic can end up being mis-categorized when non-standard tags are used. For example, if you use a non-standard medium for paid search (such as “payperclick”), the resulting Sessions won’t end up in the default Paid Search channel bucket.

To improve your link tagging, visit our article on Consistent Tagging for Better Campaign Tracking.

Untagged Email Marketing Campaigns

If you’re running email marketing through a platform like Mailchimp or Constant Contact, you’ll want to make sure that you’ve turned on the setting to tag links for Google Analytics. If you cannot find the option on your own, check with your email marketing provider to determine how to set this up. Alternatively, you can manually tag the links in your email campaign. This gives you more control over the campaign that your email traffic gets assigned to.

Either way, without proper tag tracking you won’t be able to cleanly segment traffic as coming from email. Instead, visits will show up as referrals from the recipient’s email provider (such as mail.yahoo.com), as well as direct visits (clicks from mail programs such as Apple Mail and Outlook). With a properly tagged email campaign, you’ll be able to see the resulting Sessions in the “Email” channel. This will help you cross-reference the reporting data from your email provider with your actual site traffic and help determine how well your email campaigns are driving traffic to your website.

Failure to Link AdWords Accounts

When running advertising through AdWords, make sure you link your AdWords account to Google Analytics. If you haven’t connected the accounts together, AdWords Sessions will still be classified as “Paid Search”, but Analytics will not know which campaign, ad, or keywords drove the traffic. This lack of data will prevent you from accurately measuring the success of individual AdWords campaigns. If you are a digital agency, or in-house marketer, this missing information could undermine your ability to demonstrate the success of your PPC campaigns.

You can check for proper AdWords attribution by making sure data is showing up in the AdWords section (Acquisition > AdWords > Channels). This will show you an overview of campaign performance, including engagement and conversion metrics.

 

AdWords Reports in Google Analytics

 

Once you’ve correctly linked accounts, you’ll see AdWords data categorized as either Paid Search or Display in the Channels section. Of course, these totals will lump together traffic from other channels in those categories, for instance if you’re running Bing Ads paid search in tandem with Google paid search ads. .

 

Google Analytics Paid Traffic Channels

 

Stray Organic Sessions

While most organic Sessions will fall into the proper channel, some may come through as referrals. While this may only represent a small amount of traffic, you should note that these are part of the total when accounting for organic search performance. For example, some Bing Sessions have been showing up as referrals instead of organic visits.

Customizing Channels

If the default channels don’t fully serve your purpose, you can create custom channel groupings to categorize traffic as needed. Just proceed carefully with attention to detail, as any misstep in the process can cause traffic to be misclassified. For this reason, we recommend that you never customize the default channel grouping, but instead create a new grouping to implement your customizations. Also, any changes to channel groupings only apply to future visits, not retroactively.

Segmenting Branded & Non-Branded Paid Search

Another useful way to get more insight from your data is to segment branded and non-branded paid search into separate channels. This edit allows you to separate metrics for people already familiar with your brand from those more likely to be having their first contact with your site. For more details, see Google’s instructions here.

Creating Channels for Paid Social

When running ads via social media advertising, you want to be sure to segment the resulting visits from organic social referrals. See our article on tracking Facebook advertising for more details.

However, note that Google Analytics doesn’t include a separate channel for paid social by default. If social ad visits aren’t specifically tagged, they’ll get lumped into the broader Social channel. However, if you tag links with a medium of cpc, ppc, or cpm to indicate paid traffic, the visits will go into the Paid Search or Display channels.

For a clean way of segmenting paid social traffic, you can create a new channel grouping in Google Analytics. Custom channel groupings allow you to view data within your own Google Analytics account without “breaking” the default channels.

Under the desired View, navigate to Channel Settings and Channel Grouping. Next, click New Channel Grouping to create your custom channel.

 

Google Analytics Creating a New Channel Grouping

 

For this account, in which Facebook advertising is our only paid social effort, we’ll define a new channel with a Source of facebook.com and a Medium of ppc (representing how we’ve chosen to tag our URLs). After saving this Channel Grouping, we can view the data in the report. Of course, we can define other channels within this grouping to see more data, but for the purposes of this example we’ll stick with setting up the social portion.

Under the Channels report (Acquisition > Channels), we’ll change the Primary Dimension to our new Channel Grouping of Paid Social. This will now separate the Paid Social (Facebook advertising) visits from other types of channels.

Conclusion

The default Channels report in Google Analytics provides a useful basic categorization of traffic that enables you to compare the performance of various types of marketing. However, you should be aware of possible shortcomings in how Google Analytics determines what data falls into which channels. In addition, exercise caution in tagging links properly in order to ensure the best possible accuracy.

Once you’re ready to move beyond the basics of reviewing channel data in the main interface, brainstorm custom channels based on your digital marketing campaigns to better segment your data. You can use channels to your advantage to improve your reporting, your analysis and your online marketing initiatives as a whole.

ALSO IN THIS BLOG

Remember how your mom told you not to stand too close to the television because it might hurt your eyes?
The same rules can apply to data. If you’re too close, you may miss the patterns and trends that are crucial to understanding your website’s performance. You can’t judge a site’s performance looking at data in the bubble of a single day, you must consider any day’s traffic compared to the days before and after.
Google Analytics makes it fairly easy to analyze trends over long periods of time. But it also allows you to stand right in front of that TV, to look at more granular levels of time, right down to the hour.
There’s a better way to get that close to the data, without burning your retinas. We’ll cover how to analyze traffic effectively in today’s post.

 

 

When the client first came to you, you talked up the value of Google Analytics. You emphasized the importance of seeing where your traffic was coming from. You went on and on about how Google Analytics can show traffic sources to pinpoint whether people came from search, social media or a specific site referral, and how valuable this data was. You sold them on it, so much so that your client looked forward to receiving that first report, the magical day when they would finally understand where visitors were coming from.
But then the report came, and it looked like this:

 

 

It showed that 10% of your client’s traffic came from “(direct)/(none)”. What does this label mean? How do you explain Direct traffic to your client? Better yet, how do you explain “none”?
Let’s take a closer look at understanding Direct traffic in Google Analytics and how we can address it with clients.
One of the most exciting and important aspects of digital marketing is the ability to understand exactly how your customers are finding you. It informs every single part of integrated campaigns and helps determine which efforts are working and which ones need to be revisited. Google Analytics allows you to zero in on the performances of different marketing channels to evaluate everything from brand awareness to social media messaging. To get the most insight from that data, it’s crucial to understand exactly how Google sorts your traffic.
Channels in Google Analytics are high-level categories indicating how people found your site. While the Source/Medium report shows you in more detail where people came from, Channels are broader, more “user-friendly” names lumping visits together in buckets useful for high-level reporting categories.
For instance, Facebook Sessions often show up in multiple ways in the Source/Medium report. They may appear as facebook.com, m.facebook.com, and l.facebook.com, all of which are variations of the same source. The Channels report will include all of these in the Social bucket, so you can see less granular, aggregate numbers on social media performance.