The Google Analytics “Traffic Sources” section can help ecommerce marketers understand how well campaigns are working and how better to invest in site content, advertising, or other forms of engagement.
Google Analytics is a free service that uses cookies — which we explain in “Cookies Make Shoppers Feel Welcome” — to monitor how visitors are interacting with a particular site. The Traffic Sources overview and its various sub-menu items describe how visitors are getting to your site.
3 Basic Traffic Mediums
The Google Analytics Traffic Sources section categorizes your site traffic as “direct” traffic, “referring” traffic, or “search engine” traffic.
-
Direct traffic. Direct traffic represents those visitors that arrive directly and immediate on your site by: (1) typing your URL into the browser’s address bar; (2) clicking on a bookmark; or (3) clicking on a link in an email, SMS, or chat message. Direct traffic is a strong indicator of your brand strength and your success in email or text message marketing. Direct traffic can also be an indicator of offline marketing success. We offer our views on the benefits of direct traffic at “Direct Traffic is Better than Google Traffic.”
-
Referring traffic. Referring site traffic, which is sometimes called referrer traffic or referral traffic, counts those visitors that click a link on another site and land on your site. Referral traffic can be indicative of social media marketing success.
-
Search engine traffic. Search engine traffic is that traffic that comes from visitors clicking on links on a search results page for any search engine — whether Google, Bing, Yahoo!, Blekko, or similar. This traffic source is divided into organic or non-paid search engine traffic — meaning that the visitor clicked on a so-called natural search result — and CPC or paid search engine traffic, which is the traffic you purchase (via pay-per-click ads_ from search engines. Search engine traffic usually indicates that you have good or at least reasonably good content. It also can mean that you have chosen a good software platform. Be sure to learn which keywords are driving this traffic. Multi-channel merchants, as an example, may find that their brand name is a key search term. When this is the case, offline marketing is usually the real traffic driver.
Selecting “All Traffic Sources” from Google Analytics left-side navigation will show you a table listing the most active traffic sources and their medium. Direct traffic, as you would expect, has a medium of “none.” Traffic from Facebook, as an example, will have a medium of “referral.” Search engine traffic will have a medium or “organic” or “CPC” as described above.
Sometimes you will see a search engine domain, like Google.com, with the medium “referral.” This indicates that the site sent you traffic from a page other than a search engine results page. This could be a link from a Google+ account or some other Google service.
Interpreting the Traffic Sources Report
Of course, data — not interpreted and analyzed — will be unable to inform your marketing planning or investment. So take the excellent information found in the Traffic Sources section and discern what it says about a website and that site’s marketing.
Put another way, looking only at the sources that drove the most traffic will not tell you anything about why visitors are coming or whether the site is meeting expectations or making sales. Rather, you need to look at traffic sources in context in order to properly interpret them.
Using Bounce Rate with Traffic Sources
Start by navigating to the “All Traffic Sources” sub-menu. Notice the site’s “bounce rate” for the selected time period.
The bounce rate measures the percentage of site traffic that resulted in a single page visit. A visitor landed on the site and left without clicking to any other page. Comparing a source’s bounce rate to other sources and the site average can be a good indicator of a source’s compatibility, and it will help with some marketing campaigns.
To see this in your Traffic Sources section, switch your analytics view from “table” to “comparison” by selecting the comparison icon on the right side of the page.
Set the “compared to site average” drop down to “Bounce” so that a source’s visits and bounce rates are compared to the site average for bounce rate.
In the example below, Google’s organic results generated the most site traffic for the time period shown, but had a bounce rate that was greater than the site average. By contrast direct traffic generated fewer visits, but had a lower than average bounce rate. A page from another website, generated 5,946 visits but had a bounce rate 22.62 percent less than the site average.
So what does this mean? “Bounce rate” can be thought of as a measure of engagement. If visitors are moving around your site, they are engaged. If they are bouncing, they cannot think of a good reason to stay. There is one notable exception to this: Blogs, videos, and news sites often have higher bounce rates because a visitor reads a particular article or watches a video and then leaves. For an ecommerce site, however, you would like to see relative low bounce rates. Sources that bounce a lot are probably not providing quality traffic.
You can apply this to marketing in a few ways. If, for example, you purchase paid search advertising, you’ll want to make sure those “CPC” sources have generally low bounce rates. If a pay-per-click or cost-per-click campaign has a high bounce rate (1) check your landing page to make sure that it provides the content promised in your ad, (2) check your ad copy to ensure it is clear, and (3) check your keywords.
Bottom line, if a source has a high bounce rate, the site is probably not relevant to what the visitor clicked on.
Use Average Time on Site with Traffic Sources
Another good metric to follow in the Traffic Sources section is the “average time on site” compared to visits comparison view. This report can be found under “All Traffic Sources,” in the comparison view. In fact, this is the same place as I directed you to go for bounces, only select “Avg. Time on Site” from the drop down menu.
Google measures average time on site by first collecting each visitor’s exact time on a particular page. Imagine that a visitor lands on page 1 of your site. Google places a cookie, including a unique code for the visitor and a time stamp. When that visitor clicks through to page 2 of your site, Google again notes the time, and then subtracts the time that the visitor arrived at page 2 from the time that the visitor arrived at page 1. Google then averages each and every page’s time spent to get the average time each visitor spends on the site.
It is worth noting that a visitor must click to at least one additional page for Google to capture the time spent. When a visitor bounces, Google does not include the bounced page in this calculation.
In the example above, Google organic results drove the most total traffic for the time period in view. But the Google organic traffic source forwarded visitors that spent an average of 31.39 less time on the site than the average. Visitors coming directly to the site, by contrast, spent 51.31 percent more time on site than average.
With average time on site, it is worth taking the analysis a step deeper. Try (1) clicking on one of the individual traffic sources, (2) selecting the comparison view, and (3) setting the dimension to “keyword.”
This section is particularly helpful when looking at organic results from search engines, since it will let you know which search queries resulted in engaged traffic. Below is another example from a site that focuses on electronic components. Overall, the Google organic source was well behind the site average, but some specific search queries were actually performing better than average.
For marketing, try to monitor the traffic sources that provide visitors who spend the most time on site. For example, if you notice that Twitter is sending visitors that spend a few minutes on each page, it would be worth investigating the site’s Twitter presence.
Summing Up
The Google Analytics Traffic Sources section monitors which sources are sending traffic to a site and — with a bit of interpretation — this data can be used to measure the quality of traffic being sent.
Armed with this information, ecommerce marketers can learn why some sources might be underperforming or focus efforts on sources that drive better quality traffic. In some cases, this might mean relying less on search engines and more on social media or brand awareness. Other times the opposite could be the best course of action. Either way, the Traffic Sources section in Google Analytics can help.