For those of you have have not seen these yet I thought I’d post links to two very nice articles on what you can do to utilize the power of Google’s Website Optimizer.

Google’s Website optimizer is a powerful tool that enables you to increase the conversion of your website using testing methods such as Multivariate and traditional A/B split testing. When setup and utilized correctly, Website Optimizer gives you the ability to discover what really works to turn visitors into sales (or just about any other action you are seeking from your audience). No more guessing.

For any of you have have already tried your hand at “manual” split testing, you know it can be tedious, time consuming, and down right tough to keep track of all the possible combination’s that are put together for any given test. That process is made much simpler with the use of Website Optimizer.

The instructions for setting up optimizer are easy to follow and do a great job for even newbies on helping them get up and running (although if your cart requires programming to integrate the code into the pages you may need the help of your technical team).

One article circulated last year and was titled 55 Google Website Optimizer Tips and Tricks.

The other surfaced February 23 of this year as a “sequel” to that original post and it is titled 25 Google Website Optimizer Tips for Better Product Pages.

Together these articles combine to provide a total of 80 different tests you should consider running on your site. I highly recommend reading them and keeping them on your bookmarked list for future reference.

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:

http://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:

http://www.google.com/search?

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

http://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:

http://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.

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:

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:
http://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:

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):

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:

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.

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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 (http://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. 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.
5. 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.

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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:

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:

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

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

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.

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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.

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.

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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.

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

Step 3. Move Source into the Dimension or Metric Window

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.

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.

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In my last article I introduced you to Google’s URL Builder and showed you how to track Yahoo paid search data from within Google Analytics. You should go back and read that article to understand what we are trying to do in this one (there is no need to repeat the entire thing here again.)

In this article I’ll show you how to do that same thing with MSN.

Quick Refresher

When fed the right data, Google Analytics can extract query string variables and then insert that into your analytics to provide better reporting capabilities—in this case relating specifically to paid search. Better reporting capabilities help you make more informed decisions about what marketing channels are working best for you.

Without this data, your MSN paid search traffic is grouped in Google Analytics with organic traffic, and that is not good. In short, not differentiating paid search from organic traffic does you absolutely no good what-so-ever.

Google’s URL Builder let’s you build a unique url that consists of data relating to your marketing efforts. You can then use this url, copy and pasting it into your MSN paid search ads as a destination url, to track varying amounts of information you could not get before. Here’s the example we used in that article:

• Landing page: www.ecommerceamplifier.com/
• Variables: Source = ‘MSN’ (or could be ‘Yahoo’), medium = ‘CPC’, term = ‘Ecommerce Coaching’, campaign = ‘Coaching Program’ and content = ‘Ecommerce Coaching National Ad’.
• Custom Tracking URL: http://www.ecommerceamplifier.com/?utm_source=MSN&utm_medium=cpc&utm_term=ecommerce%2Bcoaching&utm_content=National%2BEcommerce%20Coaching%20Ad&utm_campaign=Ecommerce%2BAmplifier

Tracking MSN PPC With Google Analytics

Unlike both Google and Yahoo which require you to “flip a switch” to turn on (or off) url tagging, MSN requires you to do nothing—it’s automatically sent with each visitor.

Here’s what MSN sends:

• Query String {QueryString} – This is the raw search query that the user typed into the search box but it’s as close as you’re gonna get to automating the process of bringing your adCenter keywords into your Google Analytics reports.
• Match Type {MatchType} – Represents basic information that will tell you if the triggered keyword was broad, phrase or exact matched (can help you narrow the exact keyword down.)
• OrderItemID {OrderItemID} – Represents the keyword that triggered the display of your ad.
• AdID {AdID} – Represents the numeric id that MSN assigns to your ad variations.

The items listed in brackets ‘{ }’ above represent the variable data that MSN sends your way with each visitor. It is this information that we will plug back into our URL to track performance.

The two parameters that represent keywords are {OrderItemID} and {QueryString}. Depending on your preference, you may use either in the location of utm_term in your Google Analytics built url. The difference is that the first one {OrderItemID} represents the actual keyword you bid on and the second {QueryString} represents the actual raw search terms the visitor entered to get to your site.

Now, if opting for {QueryString} as your parameter of choice, understand that the search terms might not exactly match the keyword(s) you are bidding on—thus, in this case, you may want to consider adding the {MatchType} to the url string as well. This can help distinguish in Google Analytics if the search string is actually the keyword itself (i.e. exact match) or a variation of it (in the case or broad match). I do not use this method myself but wanted to point out what you need to consider if you are going one way or the other. We’re looking for data that provides valuable information remember.

I prefer to know the exact keywords that triggered the ad and use the {OrderItemID} as my ‘Campaign Term’.

The screenshot below shows what MSN (as of this writing) has listed for what each variable represents:

MSN AdCenter URL Tagging Help

Now, when we use these in conjunction with Google’s URL Builder we get something that looks like this screenshot below:

Screenshot: Google URL Builder Setup for MSN Tracking

This is the best way to get data at the keyword level, ad level and campaign level (although you’ll have to compare the AD ID with that in MSN Adcenter to determine which ad actually triggered the visit.)

Now, another method you might want to consider (although not one I’ve personally used yet) is to replace the ‘Campaign Name’ data with something like {QueryString} to gather even more information on your visitors actual search habits who use MSN.

When would this be a viable option? Well, if you only have one campaign setup within MSN Adcenter then you may not really feel you need that information again in analytics (after all, if you have only one campaign setup then all traffic must originate from that.) In this case it might be beneficial to determine the search habits of your visitors in relation to the actual keyword that triggered the ad to find out more opportunities you might be missing.

Either way, you now have access to tracking paid search traffic from MSN within Google Analytics and because of it, have opened up new doors that will help you make more informed decisions about your marketing efforts.

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If you want to really take your business to the next level you must have an analytics system in place that provides you with data which can help you make informed decisions. By informed decisions I don’t mean “oh, my visitors use ‘xxx’ browser” or “the screen resolution of most visitors is ‘xxx’”. Sure, these elements might be useful to a very small degree if, and only if, you are looking at ensuring your site is designed to meet the right audience.

But, if you did your homework, your site should already be designed to fit any visitor that arrives, no matter the platform, browser type, screen resolution, or what ever it is you come up with relating to design.

Now there are many flavors of analytics that may work for your needs. In this article I am going to focus on Google Analytics. It’s free, it’s powerful, and it flat out can get the job done.

So, we’re talking Google Analytics setup to provide us with valuable decision making data. To get this type of information, just installing Google Analytics alone is not going to be enough. You need to take advantage of the full tracking capabilities to provide you with data from all your advertising channels. This will help you understand where to invest your time and resources to optimize a given channel—ideally that which provides a positive ROI.

I’ve written about Google Analytics in a number of past articles and discussed the ecommerce tracking, goal / funnel tracking, etc… so I won’t go into that in this article (although in future articles I will revisit these areas as much has changed in GA since the writing of those.)

In this article I am going to talk about tracking paid search traffic channels, specifically from Yahoo (Search Marketing).

As anyone running paid search campaigns might have already gathered, it’s fairly easy to track Adwords traffic in Google Analytics when you link the two and flip the proper auto-tagging switches, but it’s not so easy to track paid search traffic from Yahoo (or MSN for that matter but that topic is for my next article.)

Yes, Yahoo offers its own ppc tracking tools—including its own form of analytics. However, anyone that wants to find out from within Google Analytics how their paid search traffic from Yahoo is performing, has to do a little work.

In fact, currently—for those of you not already separating this out within your analytics—your paid search traffic from Yahoo (and again, MSN) comes over mixed with the organic traffic and is listed as such within Analytics. This isn’t good.

Google Analytics Screenshot of Yahoo / MSN Traffic

This is a problem. How can you make informed decisions about which channel of traffic provides the biggest bang for your buck when it’s mixed with organic. You can’t—at least not real easily.

So to track paid search traffic from MSN and Yahoo we need to separate them using the link itself and the variables we can pass to native Google Analytics. In short we need to develop a proper URL structure that we can use from within our MSN and Yahoo paid search ads themselves. These links must contain information which passes data to Google Analytics about the origin of that traffic.

The official term is called URL Tagging. Sounds complicated yes, and it could be, if it weren’t for this handy little tool that Google provides.

It’s called the URL Builder.

The URL Builder gives us the power to fill in a few fields click a button, and return a pre-built URL that we can use within our ppc campaigns. These would represent what are known as the Destination URL’s for a given keyword (you do break your destination URL’s down to the keyword level right? Doing so gives you more control and if you’re not, you should be.)

Let’s dive in and show you how you can gather keyword level data from Yahoo paid search, but one last thing you may be wondering before we do.

If you are wondering whether you need to provide a unique URL for each keyword the answer is no. Yahoo by default passes variable information to you with each visitor. All you need to know is what they pass and what to grab to insert into your analytics. That’s what I’m going to show you here.

Google’s URL Builder

Here’s is a crash course in Google’s URL Builder:

Google URL Builder Screenshot

The URL Builder let’s you enter your landing page (website URL) and associated variables including source (search engine), medium (cpc vs. email, organic, etc…), term (your keyword), content (ad version), and name (your campaign). After completing the form, the URL Builder provides you with a full tracking URL that you can copy/paste into your Yahoo or MSN ads. Here’s an example:

• Landing page: www.ecommerceamplifier.com/
• Variables: Source = ‘Yahoo’ (or could be ‘MSN’), medium = ‘CPC’, term = ‘Ecommerce Coaching’, campaign = ‘Coaching Program’ and content = ‘Ecommerce Coaching National Ad’.
• Custom Tracking URL: http://www.ecommerceamplifier.com/?utm_source=Yahoo&utm_medium=cpc&utm_term=ecommerce%2Bcoaching&utm_content=National%2BEcommerce%20Coaching%20Ad&utm_campaign=Ecommerce%2BAmplifier

Tracking Yahoo PPC With Google Analytics

First thing we need to do to get Yahoo to send us the data we are after is to turn on auto-tagging from within your Yahoo Search Marketing account or you’ll get nothing but the keyword coming over (and that doesn’t help a whole lot on its own.)

Yahoo Search Marketing Tracking URL Section

To do this you’ll need to login to your YSM (Yahoo Search Marketing) account and go to:

Administration > Tracking URLs

Once that is complete Yahoo will begin to pass a lot more data than just the keyword over in the query string and we’ll be able to retrieve that data from within Google Analytics.

The parameters identifiers that Yahoo uses to pass various paid search data in the query string are:

• {OVKEY} representing the keyword
• {OVADID} representing the ad itself
• {OVCAMPGID} representing the campaign itself

Inserting these parameters into the utm_term, utm_content, and utm_campaign sections of your URL, you’ll be able to successfully pull the keyword you bid on, the ad it came from, and the campaign that held the ad into Google Analytics.

So going back to the above example (bullet points) the url for Yahoo would look like this after we inserted the parameters:

http://www.ecommerceamplifier.com/?utm_source=Yahoo&utm_medium=cpc&utm_term={OVKEY}&utm_content={OVADID}&utm_campaign={OVCAMPGID}

Yahoo Parameters in Google URL Builder

Notice in place of the term, content, and campaign level data we entered earlier there are now Yahoo specific parameters that fill the string with dynamic data.

That’s all you need to do to begin to track the information on Yahoo paid search in Google Analytics. In the next article I’ll show you how to do the same thing using MSN Adcenter and after that one show you how to drill down on this data from within Google Analytics to find out what it’s all telling you.

Don’t be afraid to use this same strategy to track all kinds of marketing activity. Using this technique you can track email campaigns, banner advertising, or just about anything else you can imagine.

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I touched upon site search quite a while back in a previous post of mine titled How to Read Your Visitors Minds with 100% Accuracy. In that post I went into detail on how you can use site search to understand what your customers want.

I found this video from the folks over at Google and think it’s a nice extension to that post. The video takes the concept I presented earlier a step further and applies that to improving your pay per click advertising conversion.

Now, I’m not saying that this method is the best way to go to improve your ROAS (Return on Advertising Spend). It’s a nice way of researching and gathering more information about what keywords you might want to consider (or combinations thereof) but don’t use it as the end all be all.

For example, in the video we see that one of the top search queries recorded was “shirt”. I would never buy a word like this alone as it is too broad—even if you do sell shirts. I would consider (if you are not already doing it) however, bidding on something like “blue short sleeved oxford shirt” (as an example).

I believe that using site search as a research tool for your business is extremely smart. It opens the doors to your customers mindset. I saying this, I also think it can come in handy for determining how you might want to consider expanding your current paid search campaigns. Just be careful you do your homework after you gather the data to ensure the words you choose provide the best opportunity at achieving a positive ROI.

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Ok, I realize it’s not that difficult to find your Google Analytics ID number, but a handful of questions have come in to me over time that I felt warranted me posting a link to this interesting tool which tells you what your Google Analytics ID is.

I know, some maybe saying well, that’s pretty easy, and why would you want to find it out anyhow? Well, I’m sure there are any number of answers for this most of which I cannot answer myself. But, for those who need a tool like this, it’s here.

It’s not for everybody, but it might be helpful for some.

Here’s the link http://yoast.com/easily-google-analytics-account-id/

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