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Tracking Google Product Search Traffic in Google Analytics

By Eric Leuenberger Leave a Comment

I recently had a member ask me this question and after some research found a number of answers. All were interesting.

The question we are looking to find an answer to is “how can we track traffic arriving from Google’s Product Search separately from all other traffic within Google Analytics?” For those of you not familiar with it, Google’s Product Search provides product based results on items that are loaded through Google Base accounts.

Here are two main options I found for accomplishing this.

The first option is a quick way to use filters in GA to segment the traffic. This option might be best for sites that have a lot of product linked urls listed in Google Product Search. The second method uses url tagging (we talked about this in recent posts) and can be arrived at two different ways and although works, might not be the best if you have a lot of urls to change.

Option 1 (Use GA Filters):

Using filters can help alleviate the need to tag many urls. We can setup a filter within GA that segments the data we are already receiving and breaks out the portion of traffic that comes from Product Search. Here’s how:

When you perform a search on Google, you’ll see that your results page has a URL that looks something like the following:

//www.google.com/search?hl=en&q=product+search&aq=f&aqi=&aql=&oq=&gs_rfai=

The key point to note here is that when performing a search from the Google Search Engine all searches start with the following string:

//www.google.com/search?

However, when you perform a search from Google Products the url looks something like this:

//www.google.com/products?hl=en&q=product%20search&um=1&ie=UTF-8&sa=N&tab=wf

The key point to note here is that when performing a search from the Google Product Engine all searches start with the following string:

//www.google.com/products?

Knowing this we can setup a filter using the Referrer field to differentiate between the two and then use the Source field from within Analytics to view the data based on referrer.

Tracking Google Product Search

Field A in our filter looks for a Referrer like one of the Google URLs shown above. Field B limits the data returned to only organic searches (AdWords ads can appear on the Google Product Search pages also, and we don’t want to mess up that reporting). The Output To section actually changes (or rewrites) the Source to “google base” instead of just “google”.

Here is what it would then look like in reporting:

product search source reporting

Option 2 (Use URL Tagging):

Method 1:
If you don’t have a lot of URLs to tag and want to do option 2 then you might be able to get away with the information presented here:
//www.google.com/support/merchants/bin/answer.py?hl=en&answer=160634

Method 2:

If however you have lot of product URLs to tag and want a better way of doing it then the following might be a better option.

This method uses the same concept I had introduced in previous post on using Google’s URL Builder to for tagging.

In this method though we tag the URLs with:

?utm_source=google&utm_medium=base&utm_campaign=products

The components that are going to let us get segmented reporting on the traffic from Product Search within Google Analytics are source=google and medium=base.

When you go this route your reports will be broken down as follows:

product search tracking

Here are the steps to follow for tagging your URLs:

We are going to use the native Excel format for the feed to address the tagging.

1. Download your product feed and open it with Excel

2.Insert two columns to the right of the column that contains your product URL (column header should be “link”)

3. Write your tracking code into the cell to the right of the URL (see below):
tracking_productsearch_ga4

4. In the next cell to the right the one you just inserted, write the following formula, substituting cell numbers if appropriate:

=CONCATENATE(B2,C2)

You should see a result similar to the screenshot below showing the two cells merged together:

tracking_productsearch_ga5

5. Copy the cell formula all the way down to cover all of your products so that all of them having the tracking added.

6. Highlight all of your product URLs (in the third column of the spreadsheet) which now have the tracking code added, and then copy and paste them into Notepad

7. Delete the columns you’ve just created so that you only have the ones you started with.

8. Paste in all of your new URLs over the top of the old ones – you have to do this in order to get the spreadsheet back in a format to be uploaded – the extra columns will be rejected.

9. Upload revised feed to Google

10. After a day or two, log into Analytics and go to traffic sources. You should be seeing traffic from Google / Base showing.

Filed Under: Website Analytics Tagged With: google analytics, google base, product search, tracking product search

5 Steps to View Your Facebook Fan Page Stats in Google Analytics

By Eric Leuenberger 2 Comments

If you’ve had a Facebook Fan Page set up for any amount of time, you may have noticed a little thing called Facebook Insights. This “tool” is reportedly Facebook’s answer to analytics.

Most SEO and social media consultants will feel compelled to tell you that Insights offers very little insight. Aside from who has commented on your updates and the age, gender and geographical breakdown of your fans, there isn’t much other insight Insights can provide.

Almost makes you wish there was a way to use Google Analytics to see how your Facebook Fan Page is doing doesn’t it?

I’m happy to report, after finding a hack produced by the folks at Webdigi, a London-based Web Development company, there is a way to set up your GA account to retrieve Facebook stats.

Here’s how:

  1. Assuming you already have a Google Analytics Account, set up a new website profile, titling the new profile “Facebook,” “Facebook/URL” or something you’ll know is your Facebook analytics. Be sure to find and copy the UA code provided once you set up the new profile. (the code will look something like UA-#######-#)
  2. Because Facebook allows for limited Javascript (whereas Google Analytics required a more robust use of Javascript), you’ll need to create an image of each Facebook page you want to track. Luckily, Webdigi has a Google Analytics link generator for Facebook pages (//ga.webdigi.co.uk/) available for free use (thus far, this is the only tool available that I can find that does this sort of link generation for Facebook to GA).
  3. Copy the entire Webdigi code provided into the part of the Fan Page you are tracking. (For instance, if you want to track your coupon tab, discount tab and special offers tab you’ll need a separate code for each page.) You’ll need to paste the code in an FBML on that page, below whatever HTML you may have used in the FBML (see image).
  4. Facebook-Google-Analytics

  5. To track your Facebook Fan Page Wall, you’ll need to create an FBML page which can be transferred into a box that appears on the left hand side of your wall. One of the best ways to do this is to post a list of resources or links, embedding the Webdigi below your HTML.
  6. Google Analytics will take approximately 24 hours to confirm your code and begin to report results. Once the checkmark appears next to the name you’ve designated for your Facebook Google Analytics, you will be able to measure metrics above and beyond what Facebook Insights provides.

Filed Under: Featured, Social Media, Website Analytics Tagged With: facebook, google analytics, Social Media, social media for ecommerce

Using Google Analytics to Track Email Campaigns

By Eric Leuenberger 11 Comments

In past articles I talked about using Google’s URL builder to track traffic from paid search channels outside Adwords (like MSN and Yahoo for example.)

In this article I thought I’d quickly show you how you can apply that same technique toward tracking of email campaigns as visitors have asked this as well.

Remember, generally Google Analytics looks for a few basic values in each link (yes you can track more items, but these are the basics.) The three basic pieces of information Google looks for in links is the campaign source, campaign medium and campaign name. The actual Google variable representations are listed below as a refresher but I have included some text that will help you from the email perspective.

  1. Campaign Source (utm_source). This identifies the name of your email marketing system, such as ConstantContact. If you don’t use a thirds party email marketing system, you can label your campaign source something general like ‘Email Marketing’.

  2. Campaign Medium (utm_medium). This identifies the campaign instrument used. In the case of email marketing, your medium is ’email’.

  3. Campaign Name (utm_campaign). This identifies the name of your campaign. The Campaign Name helps you differentiate between various campaigns or unique messages within each. Most Email Marketers use their message subject line or other identifying value for this parameter.

Here’s what the URL Builder might look like with those three variables filled in for an Email campaign:

emailtrackingGA

Viewing Email Campaign Results

Once you have built your url and inserted it into the proper location within your email, tracking will automatically begin. With the tracking results you can find out a number of things including: which links were most popular with your recipients, when they visited your website, how long they stayed and where they navigated following arrival.

With this information you can refine your future email marketing to gain better results.

How to view campaign results in Analytics:

  1. Log into your Google Analytics account.

  2. Click ‘Traffic Sources’ from your Dashboard.

  3. View your ‘Top Traffic Sources’ or click ‘View Full Report’ to see all traffic sources.

  4. Locate and click the link identifying your email marketing Campaign Source. In our example above, your Campaign Source is your email marketing product, i.e. ConstantContact, or ‘Email Marketing’.

On your Campaign Source page, Google Analytics provides details on the number of visitors generated by your campaign, the number of pages they visited, average time on your website, percent of new visitors to your website and the average bounce rate.

Campaign managers can also drill-down using the segments drop-down menu. This provides even greater detail on individual campaigns, keywords, geographic regions, browser types, operating systems and visitor activity, like the most popular landing and exit pages. Each results page provides the means to drill-down even further and fine-tune your data.

Here is what the top level report might look like when segmented by ‘Source’ in Google Analytics:
emailtrackingGA2

Here is what the top level report might look like when segmented by ‘Medium’ in Google Analytics:
emailtrackingGA3

Here is what the top level report might look like when segmented by ‘Campaign’ in Google Analytics:
emailtrackingGA4

To get more detailed information on each you can further filter, segment, etc… and even drill down by clicking the link to the page you want to see more information on.

Now, if you haven’t had the ability to do so already, you can get better metrics from your email campaigns within Google Analytics.

Got any other ideas for email tracking with GA? Post your ideas below. I’d like to hear them.

Filed Under: Email Marketing, Website Analytics Tagged With: google analytics email tracking, tracking email with analytics

How to use Google Analytics to Track Your First Time and Return Visit Buyers

By Eric Leuenberger 1 Comment

More on advanced reporting with Google Analytics here.

Because your website is only as good as your ability to convert visitors into buyers, the following two advanced segment reports in Google Analytics will help you capture your first time visitor/buyers into repeat visitor/buyers. Follow the selections on the screen shots to set up your own site-specific reports.

First time buyer
This particular report can help you understand what motivated visitors to buy on their first visit. What you learn from this report can help you to motivate future new visitors to purchase in as few visits as possible.

first-time-buy-1

Return visit buyers
You can use the return visit buyer reporting tool to understand your returning visitor’s behavior. If they didn’t buy on the first visit, use the data in the report to optimize your site or process to ensure you convert visitors to purchases sooner.

return-visitors

Filed Under: E-Commerce Optimization, Website Analytics Tagged With: ecommerce, google analytics

How to Track Your Social Media ROI in Google Analytics

By Eric Leuenberger 5 Comments

E-Commerce retailers using Google Analytics to track their metrics can now also track their social media ROI as well. I’m going to explain how in five easy steps.

Step 1. Locate and select Advanced Segments from the lower left sidebar in your Google Analytics Dashboard.

AdvancedSegments

Step 2. Once in the Advanced Segment screen, select Create a new custom segment

Google Custom Advanced Segments

Step 3. Move Source into the Dimension or Metric Window

Google Analytics demension metric

Step 4. Select “Matches Regular Expression” from the Conditions Box. In the Value Box, plug in the social networking sites your website is on using this string:

digg|aim|friendfeed|blinklist|fark|furl|wikipedia|stumbleupon|netvibes|bloglines|linkedin|facebook|del.icio.us|
feedburner|twitter|technorati|faves.com|newsgator|PRweb|msplinks|myspace|bit.ly|tr.im|cli.gs|zi.ma|poprl|tinyurl

Do not include websites or networks you are not a part of. You’ll also want to be sure you do not leave any spaces between the social network and the Pipe stroke  <|> (the symbol above the backslash on most keyboards). In instances where there is typically a period or dot in the URL, you’ll need to insert a backslash the first and second elements of the URL.
Social Media ROI Google

Step 5. Name your Custom Report and test it. You will now be able to see where you are receiving the most social media traffic from as well as your bounce rate, keywords used and any other metrics you decide to track.

Filed Under: Social Media, Website Analytics Tagged With: advanced segments, custom segments, demension metrics, social media roi tracking, tracking social media with google analytics

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