Setting up
ecommerce tracking is essential if you are selling online (if you don't sell online check out
Monetizing Non-Ecommerce Sites). But not all ecommerce systems integrate with Google Analytics. And if you are selling online
chances are you accept PayPal® as a method of payment. So how do track visitors who have purchased via PayPal?
First step,
create a thank you page for successful PayPal transactions and set that URL within PayPal so visitors are returned to your site.
The problem is that when the visitor returns to your site after payment has been received (or cancelled) PayPal gets the credit for the conversion and not the original way the visitor found your site.
Steps For Tracking PayPal With Google Analytics:
1.
Log into PayPal.
2. Under the 'My Account' tab
click on the 'Profile' link.
3.
Click on 'Website Payment Preferences' (under 'Selling Preferences' in the right column).
4. Turn 'Auto Return'
on and enter the URL of your PayPal thank you page.
Then add
?utm_nooverride=1 to the end of your URL (highlighted in blue below), this will
ensure that transactions (i.e. conversions) are credited to the original traffic source, rather than PayPal.
For example, if a visitor came from a Google search for 'gardening book' the conversion will be credited to Google, organic, gardening book (and not PayPal, referral).
At this point if you simply want to track the conversions using goals you can setup a new goal for the thank you page within Google Analytics. However, if you want to also get Google Analytics ecommerce tracking up and running you will need to get a little more technical.
PayPal's payment data transfer allows you to receive transaction details once a visitor is back on your site (visit the
PayPal technical overview article for details).
Getting Advanced With Ecommerce Tracking:
6. Turn 'Payment Data Transfer'
on.
Please note that once you turn on 'Payment Data Transfer' it will be applied to all Auto Return payments unless otherwise specified within the button or link for that Website Payment.
7. You will now either have to
create your 'Buy Now' buttons or modify your existing buttons.
If you are creating new 'Buy Now' buttons leave the return URL blank (or if you specify a different URL ensure it has
?utm_nooverride=1 at the end).
If you already have buttons on your site you will need to look for the following code:
<form action="https://www.paypal.com/cgi-bin/webscr" method="post">
And add the following before the
</form> element (with your correct thank you page URL):
<input name="return" type="hidden" value="http://www.site.com/paypal-thanks.php?utm_nooverride=1" />
8. Finally you will need to
modify your thank you page to grab the PayPal data being transfered using either the POST of GET methods (you will have to talk to your web developer or IT person if you are not familiar with the coding of your site).
Basically, you will need the Google Analytics ecommerce tracking code to automatically (or dynamically) grab the correct values and place them in the code. You will be able to get total price, tax, shipping, transaction id, item name, quantity, etc.
Example Google Analytics Ecommerce Tracking Code:
<script type="text/javascript">
var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www.");
document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E"));
</script>
<script type="text/javascript">
try {
var pageTracker = _gat._getTracker("UA-XXXXX-1");
pageTracker._trackPageview();
pageTracker._addTrans(
"6NB836968U296223E", // Order ID
"", // Affiliation
"20.00", // Total
"2.00", // Tax
"0.0", // Shipping
"", // City
"", // State
"" // Country
);
pageTracker._addItem(
"6NB836968U296223E", // Order ID
"ProductId123", // SKU
"Green T-shirt", // Product Name
"T-Shirts", // Category
"20.0", // Price
"1" // Quantity
);
pageTracker._trackTrans();
} catch(err) {}
</script>
For Google AdWords conversion tracking you simply need to grab the total value and pass that into the conversion script as the value.
Example Google AdWords Conversion Tracking Code:
<script type="text/javascript">
<!--
var google_conversion_id = 12345678;
var google_conversion_language = "en";
var google_conversion_format = "2";
var google_conversion_color = "ffffff";
var google_conversion_label = "U10bCNfstvhghO6gM";
var google_conversion_value = 0;
if (20) {
google_conversion_value = 20;
}
//-->
</script>
<script type="text/javascript" src="http://www.googleadservices.com/pagead/conversion.js">
</script>
<noscript>
<div style="display:inline;">
<img height="1" width="1" style="border-style:none;" alt="" src="http://www.googleadservices.com/pagead/conversion/12345678/?value=20&label=U10bCNfstvhghO6gM&guid=ON&script=0"/>
</div>
</noscript>
Read about Google Analytics ecommerce tracking
Read about Google AdWords conversion tracking
Finally, we strongly recommend that you test everything out using the
PayPal Sandbox.
If you have any questions please feel free to
contact us directly and if you are located in Australia check out our
Google Seminars for Success for the best Google Analytics training available!
Thanks to
ROI Revolution for inspiring this post who originally discussed Google Analytics and PayPal back in 2007.
Labels: Google AdWords, Google Analytics, Google Analytics Tips
Question:
How can I group pages together for reporting within Google Analytics?
In this post we will look at how we can use; Advanced Table Filters, Profile Filters and Multiple Custom Variables to group pages together for reporting within Google Analytics.
We are going to use an online toy shop as an example for this post. Let's say the website has toys in the following categories:
- Bicycles
- Dolls
- Games
- Learning
Basic: Content Drilldown
If the site already has a logical folder structure then there are very simple ways to group content.
Firstly, browse your website and look at the URLs for the individual pages you want to group.
If you see URLs such as the following:
- www.toys.com/bicycles/
- www.toys.com/bicycles/bmx-bikes
- www.toys.com/bicycles/product.php?id=3012
Where all the pages you want to group have a common element in the URL (in the example above you can see
/bicycles/ is in all the URLs we want to group), then you can navigate to
Content > Content Drilldown to see all the pages rolled-up into /bicycles/.
If you have pages that don't have a common element in the URL then you will have to be a little more advanced!
Intermediate: Advanced Table Filters and Profile Filters
If you see URLs such as the following:
- www.toys.com/product/index.php?id=3829 for a boys bicycle
- www.toys.com/product/index.php?id=1258 for a teens bicycle
- www.toys.com/product/index.php?id=7248 for a doll
- www.toys.com/product/index.php?id=3457 for a preschool board game
- www.toys.com/product/index.php?id=1263 for a brain game
And you only want to group the boys bicycles and teens bicycles, then you have two options.
Firstly, you can navigate to
Content > Top Content within Google Analytics and then apply an Advanced Table Filter that only matches those two pages.
Click 'Advanced Filter' and enter 3029
|1258 (this will match 3029
OR 1258 within the report using
| which is the pipe symbol):
Once you click 'Apply Filter' the Top Content report will only include data for the two bicycle pages. You will have to add the ID numbers for any other pages you want to include in the report (e.g. 3029
|1258
|9620
|3892 etc.)
Once you have done this you you can consider setting up a filtered profile that will only report on the pages you have identified. Create a new profile and apply a filter like the following:
The above is an include filter with the following as the filter pattern:
^/product/index\.php\?id\=(3829|1258) this will match /product/indexphp?id=3829
AND /product/indexphp?id=1258.
Advanced: Multiple Custom Variables
Advanced Table Filters and Profile Filters are fantastic
but if you change your site you also have to update your filters which could be a pain. You might also have a
LOT of pages, and filters might be restrictive and take a lot of time to setup. If you fall into this area then
Multiple Custom Variables are going to be the best solution.
Multiple Custom Variables are going to be more involved to setup because they need to be placed within your site's code but with the help of yourweb developer or IT support it shouldn't be too hard to get it setup correctly.
Once you have defined which pages should be grouped (e.g. all the bicycle pages) then you will need to dynamically create Multiple Custom Variables within the code of your pages.
So for all the bicycle pages you will need the following to be within your tracking code:
pageTracker._setCustomVar(
1, // Multiple Custom Variable is set to slot 1
"Product Section", // Overarching name (or category)
"Bicycles", // This value of the custom variable
3 // Sets the scope to pageview-level
);
Then for your games pages you might need:
pageTracker._setCustomVar(
1, // Multiple Custom Variable is set to slot 1
"Product Section", // Overarching name (or category)
"Games", // This value of the custom variable
3 // Sets the scope to pageview-level
);
And so on for each section you want to track. Once your pages are dynamically tracking into the Multiple Custom Variables, you will be able to access the Custom Variables report within Google Analytics.
Labels: Google Analytics, Google Analytics Tips
Until the release of Annotations within Google Analytics you were probably referring to a calendar or spreadsheet to find out what caused certain spikes in traffic. Annotations solves this by allowing Google Analytics users to add notes to dates within Google Analytics reports.
Creating Annotations Within Google Analytics
1. Click the annotation toggle link below the graph within your Google Analytics profile.
2. Select the date for the annotation and click '+ create new annotation'.
3. Enter your note (up to 160 characters), select if you would like the note to be shared or private and click 'save'.
A
shared annotation will be visible to all users who have access to the particular Google Analytics profile. A
private annotation will only be visible to you.
Top 5 Events To Track Using Annotations:
- Email newsletters and email marketing campaigns
- Offline advertising launches (e.g. print, radio, TV)
- Marketing events or milestones (e.g. product launches)
- Website changes (e.g. interface design or promotional banner)
- Key calendar events (e.g. public holidays, Valentine's day)
Labels: Google Analytics, Google Analytics Tips, new Google Analytics features
Powerful. Flexible. Intelligent.
Google has officially announced the release of new Google Analytics features which strongly position the product as an enterprise-level web analytics platform. Much anticipated additions to the tool include the ability to
define up to 20 goals per profile (previously limited to 4),
Intelligence reports that provide automated and custom alerts to changes in metrics and dimensions, and the ability to track visitors into Multiple Custom Variables (previously known as Custom Segments).
New Google Analytics features include:
- Intelligence Reports
- Automatic and Custom Alerts
- Expanded Goals
- Site Engagement Goals
- Advanced Table Filtering
- Expanded Mobile Reporting
- Share Advanced Segments
- Share Custom Reports
- Multiple Custom Variables
Google Analytics Gets Smart With Intelligence Reports
The new Intelligence reports allow you to see if significant changes are occurring within your Google Analytics data. For example;
you received more visitors than expected,
your bounce rate is increasing or you have experienced a
spike in revenue from new visitors to your site. The Automatic Alerts within Google Analytics Intelligence provide you with this level of detail automatically and it is provided for historical data (back to mid 2008) in your profiles.
Automatic Alerts also let you know when things aren't going well:
Taking Intelligence reports to the next level with Custom Alerts allows you to define your own alert triggers and receive an email alert. For example you can create a
Custom Alert to notify you (within Google Analytics and via email) when your
Google AdWords campaign traffic meets a revenue target or when your
organic (or free) keyword term from your SEO efforts has resulted in a certain number of visitors to your site.
Now Google Analytics really is smart!
Want More Goals In Google Analytics?
Google Analytics: Now With 20 Goals Per Profile
One feature that we have all wanted for a while now is the ability to set more than 4 goals per profile.
Each Google Analytics profile can now be setup with 20 goals. These are also conveniently arranged in 4 groups containing 5 goals each.
Site Engagement Goals In Google Analytics
Evaluating the effectiveness of content based sites just got easier with site engagement goals in Google Analytics. Standard goals are great for reporting on particular actions you want your visitors to take (buying online, filling out a contact form or registering for your email newsletter) but
what if your primary objective is providing quality content and an engaging experience for your visitors? Site engagement goals are your answer, now you can set a goal conversion for time on site or pages per visit allowing you to access the power of goal reports within Google Analytics.
If you are a SMB (Small to Medium Business), non-profit, government or any organization with a content or branding focused site you should definitely begin using site engagement goals.
Filtering Within Google Analytics Reports
Google Analytics Table Filtering allows you to
filter the data presented within particular table reports. This allows you to quickly refine the data to your particular parameters, for example removing particular dimensions (like pages) based on metrics (like time on page) that are skewing your analysis.
Exploring the example further, you could take your Top Content report and then use Table Filtering to only include pages where visitors spend more than 0 seconds and less than 30 seconds.
This gives you direct access to under performing pages based on time on page. Then you can drill-down further by applying advanced segments (All Visitors, Search Traffic, Direct Traffic and Referral Traffic) to the report to establish if Traffic Sources relate to the under performance of the pages.
Expanded Mobile Reporting In Google Analytics
Google Analytics now allows for improved tracking of mobile devices, so you can now
track interactions within your iPhone and Android apps to measure usage and engagement.
A new tracking code for mobile sites built using PHP, Perl, JSP and ASPX will also become available, allowing you to
track all web-enabled mobile devices (not just mobile devices that run JavaScript).
Share Your Advanced Segments And Custom Reports
Advanced Segments and Custom Reports are powerful tools to drill deeper into your data. Now you can
quickly share your Advanced Segments and Custom Reports with your colleagues making it easier to collaborate on the analysis of your site.
Multiple Custom Variables
This advanced feature opens up more opportunities for custom tracking using Google Analytics. Our team will be updating our custom Google Website Optimizer tracking solution to make use of Multiple Custom Variables, as well as looking at how we can make use it to attribute first and last click to conversions.
Previously Custom Variables (also known as custom segments or _setVar) allowed you to assign a visitor with one User Defined value, now with Multiple Custom Variables you will be able to set each visitor with numbers User Defined values.
Labels: Google Analytics, Google Analytics Tips, new Google Analytics features
Lets Start with a Quick Overview
Social networking can be used to increase traffic to your website, generate more sales and leads, and enhance your visibility to potential and existing customers. In order to achieve these objectives you need to assign value to each initiative you undertake and align social networking with your business objectives.
If you want to increase the number of visits or improve your visibility in the marketplace, you should focus on listening to clients and competitors (Google Alerts, Twitter), share content (Flickr, YouTube, Blogger, RSS, MySpace), build good relationships (Facebook, LinkedIn), dialogue with customers (Twitter), generate buzz (Digg, Twitter) and participate in a wider community (Twitter, Facebook).
Once you are active within social networks you need to determine how you are performing and calculate your ROI (Return On Investment).
Measuring Social Networks in Google Analytics
By default Google Analytics allows us to track visitors from social network via referral source (or which social networking site linked to your site). You can view visits from social networks within the All Traffic Sources report (located under Traffic Sources).
Begin by searching for the top social networking site, this can be acheived by using the filter (or search) at the very bottom of the report.
Once you have established your primary social networking referrals you can input multiple social media domain names into the filter option. Then you can begin to compare the true value of your social networking efforts.
- Do basic engagement metrics differ between networks?
- Are social network visitors converting for your goals?
- And more importantly; how do conversion rates compare?
The following image highlights the ecommerce conversion rates between 4 social networking sites. We can now see that Twitter is driving the highest conversion rate, therefore if we focus our efforts on driving more traffic from Twitter we should see even more revenue being generated.
In this example we could aim to increase Twitter visitors by 50% or 100% which would result in additional revenue of $37,886.85 to $75,773.69 -
more than enough to cover a member of your team Tweeting an hour a day!
Google Analytics allows you to measure metrics for visitors accessing your site from social networks in quantitative terms, but it is also important to understand the qualitative value of your efforts.
Drilling Deeper into Social Networking Visitors using Google Analytics
Okay, now that you have the basics down you can start to get deeper into your Google Analytics social networking data.
Creating a social networking advanced segment will allow you to see this level of detail throughout the majority of Google Analytics reports.
Creating an Advanced Segment for Social Networks:
- Navigate to Advanced Segments
- Click 'Create new custom segment'
- Search or browse for 'Source' within the Dimensions options
- Click and drag 'Source' over to the custom segment builder
- Select 'Matches regular expression' as the condition
- Enter your social networks (we have used twitter\.com|flickr\.com|youtube\.com|digg\.com)
- Name your segment
- Test your segment to ensure it works
- And finally, click 'Create Segment'
You should end up with the following:
Now when you apply your custom advanced segment your Google Analytics reports will only include visitors coming from the social networking sites you have defined.
Posted by Daniela Fernandez and Benjamin Mangold, Analytics TeamLabels: Google Analytics, Google Analytics and Social Networks, Google Analytics Tips
The following post outlines one method for achieving
automatic download and outbound link tracking for Google Analytics.
Although manually tagging files and links is the best way to track your downloads and outbound links, it is not very practical. Tagging more than a handful of links becomes painful.
Okay, so what are the downsides to automatic tracking?
- The JavaScript required to modify the links is going to add to the loading time of your site.
- If you have many, many files or links on a page it is going to take time for the script to run through your page and apply the tags to each file or link.
Quick steps:
- Download the following file (gatag.zip), unzip it and upload it to your server (in this example we have uploaded it into a folder called /javascript/).
- Place the following code above your Google Analytics Tracking Code:
<script src="/javascript/gatag.js" type="text/javascript"></script>
This script only works for the ga.js Google Analytics Tracking Code, if you are still using urchin.js you will need to update this first.
This script was originally developed by Goodwebpractices.com with the help of ShoreTel, MerryMan and Colm McBarron. Our version has had some slight modification from VKI Studios and ourselves, Mangold Sengers.
Your Google Analytics Tracking Code should now look something like this:
<script src="/javascript/gatag.js" type="text/javascript"></script>
<script type="text/javascript">
var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www.");
document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E"));
</script>
<script type="text/javascript">
try {
var pageTracker = _gat._getTracker("UA-123456-1");
pageTracker._trackPageview();
} catch(err) {}
</script>
Check your Google Analytics reports in 12 to 24 hours to ensure that file downloads and outbound links are tracking correctly. You should see your downloads and links being tracked into the Top Content and Content Drilldown reports e.g.
/downloads/path-to-file/file.pdf and
/outbound/www.externalsite.com/index.html
(Please note that this post outlines the tracking required for a standard Google Analytics installation, if you are tracking multiple domains or doing any advanced tracking you should consult your Google Analytics provider or get
professional Google Analytics support.)
Labels: ga.js, Google Analytics Tips
Fixing Campaign Tagged URLs for Improved SEO
While attending the 2008 GAAC Summit at the Googleplex Robbin Steif of Lunametrics raised an interesting point regarding URLs that have Google Analytics campaign tags. Robbin pointed out that campaign tagged URLs can adversely effect SEO (Search Engine Optimization) as a result of duplicate content and that the _setAllowAnchor(true) function can be used to alleviate the problem.
Okay, great, but can you repeat that in English?
Basically, Google sees a page on your site and campaigned tagged URL for the same page as actually being two separate pages. Then when we come to SEO, websites and pages can be given lower priority if there is duplicate content.
We have a landing page about being a Google Analytics Authorized Consultant: www.mangoldsengers.com/google-analytics-authorized-consultant
And we have a campaign tagged link to the same page on the Google Analytics partner page that looks like this: www.mangoldsengers.com/google-analytics-authorized-consultant?utm_source=gaac-listing&utm_medium=referal&utm_campaign=google-analytics
Although these are the same page Google sees them as two separate pages, so now the question is how do I fix the problem?
How to Fix Campaign Tagged URLs for SEO
Luckily, Google doesn't index anything after a # in a URL, so basically we need to change this: www.mangoldsengers.com/google-analytics-authorized-consultant?utm_source=gaac-listing&utm_medium=referal&utm_campaign=google-analytics to this: www.mangoldsengers.com/google-analytics-authorized-consultant#utm_source=gaac-listing&utm_medium=referal&utm_campaign=google-analytics
Google does not index anything after a destination anchor (i.e. the #), so now: www.mangoldsengers.com/google-analytics-authorized-consultant and www.mangoldsengers.com/google-analytics-authorized-consultant#utm_source=gaac-listing&utm_medium=referal&utm_campaign=google-analytics will be seen as the same page by Google. No more duplicate content!
Now that you have fixed the URLs, we need to get the campaign variables into Google Analytics. This is simply achieved by using the _setAllowAnchor(true) function that Robbin mentioned at the summit.
Your GATC (Google Analytics Tracking Code) will need to be modified (you will need to replace UA-XXXXXXX-X with your Google Analytics profile ID):
<script type="text/javascript">
var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www.");
document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E"));
</script>
<script type="text/javascript">
try {
var pageTracker = _gat._getTracker("UA-XXXXXXX-X");
pageTracker._setAllowAnchor(true);
pageTracker._trackPageview();
} catch(err) {}</script>
If you have any questions or need help implementing SEO friendly campaign tags for Google Analytics then please get in touch!
Labels: ga.js, Google Analytics, Google Analytics Tips, SEO
Google Analytics gives us so many pretty graphs, but value is only gained when that data is used to drive action to improve your site. So how do we begin to analyze results in Google Analytics?
Firstly, you need to understand what your website is about and what it actually does for your business. This may seem like a obvious place to start, but you would be surprised at how many people I meet that cannot answer this question.
What is the purpose of your website?To generate leads? To sell products? To register subscribers? To sell services? To provide support?Once you can identify the purpose of your website you can begin to identify ways to improve your site. Generally your initial focus will either be content or a specific process you want to optimize.
3 ways to improve your website content by analyzing Google Analytics reports:
1. Analyze the Keywords reportReview the Keywords report, do the keywords align with the purpose of your site or business?
If you identify an organic keyword that is important to your business, but has a high bounce rate, then develop content that specifically targets visitors using that keyword.
2. Analyze the Site Search reportSetup Site Search to identify gaps in content. Are people searching for something that your site already answers? If so, you should look at your navigation system, can they get there easily?
If Site Search contains search terms that you know won't bring up relevant content on your site, you need to ask yourself why? Do these search terms identify opportunities to generate new content or fill the desires of your website visitors?
3. Analyze the Top Content reportWhen you look at top content report are there any pages that have a low average time on page or a high bounce rate? This generally indicates that a page isn't giving visitors what they are seeking. Review the pages that have the lowest time on page and highest bounce rate.
You can begin to see how to analyze results in Google Analytics based on the purpose of your website. Once you understand how your site works as a business tool, you can use Google Analytics to inform your process.
Labels: Google Analytics, Google Analytics Tips
Why Microsoft adCenter Analytics suck!I use Google products every day, there are a lot of things I like about Google products and some things that drive me insane but on the whole Google does the right thing - it keeps things fast and simple. This is exactly why Microsoft Analytics suck, Microsoft Analytics is what Google Analytics might be like if it had a hangover the day after its 75th birthday. I can almost hear it grumble each time a report loads.
There are a couple of things that don't suck about Microsoft Analytics when compared to Google Analytics but my dislikes push me over the edge. Each task seems to take more clicks in Microsoft Analytics and the touted gender, occupation and age segments leave a lot to be desired.
Stick with the snappy, responsive and friendly Google Analytics!
Dislikes:- Slow loading time
- Not optimized for viewing on normal size screens
- Dynamic images rather than flash lead to a lot of loading and reloading
- Breaks web browser back button
- Times out quickly and forces you to log in over and over again
Likes:- Simple media and downloads tracking (via modified tracking code)
- Simple outbound link tracking (via modified tracking code)
- Unrestricted number of goals and funnels
The great thing about Microsoft Analytics (and Yahoo! Analytics just around the corner) is that we all know the team at Google is going to be pushing even harder to make Google Analytics the best analytics solution on the market. Go you good thing!
The Microsoft Analytics visitors report is overly complex:
In comparison, the Google Analytics visitors report is a minimalists dream:
Labels: Google Analytics, Google Analytics Tips, Microsoft Analytics
Google Blogoscoped has just posted an article about
tracking Google Docs using Google Analytics. You are now able to input a Google Analytics Tracking Code on your Google Docs settings page.
Unfortunately it appears that we can only track published documents with the new tracking feature. Hopefully Google Docs will soon allow us to track published forms and shared documents.
Labels: Google Analytics, Google Analytics Tips, new Google Analytics features
I have been writing a
'101 tips for using Google Analytics' article since late last year and it keeps getting pushed to the bottom of my priority list. Rather than letting them go stale in Google Docs I have decided to share a couple of tips with you - let's put them to work!
If you have a tip you would like to share or have a pressing Google Analytics question that might become a tip, then send an email to
analytics@mangoldsengers.com- Setup website goals. A website goal is a high value action that you would like your website visitors to perform. On a content or lead generation site, this could include subscribing to an email newsletter or completing a contact form. On a e-commerce site this could be the completion of a checkout process. You can access goal data across numerous reports within Google Analytics, plus you will have access to goal specific reports under the 'Goals' tab.
- Setup e-commerce tracking. If you have an e-commerce website make sure you enable e-commerce tracking within your Google Analytics website profile and add appropriate e-commerce tags to your website. If you don't have an e-commerce website you can still use e-commerce reports to associate a dollar value to particular website visitors.
- Link your Google AdWords account to your Google Analytics account. Once your accounts are linked you will have access to AdWords visitor data within Google Analytics.
- Track your marketing campaigns. Campaign tracking is a crucial element in understanding how your marketing campaigns are performing. By tagging online and offline campaigns you can begin to evaluate and compare the effectiveness of your marketing initiatives. Tag everything!
- Manually tag your CPC (Cost Per Click) campaigns. If you use a CPC system other than Google AdWords, you will need to manually tag your campaign URLs. CPC campaigns that are not tagged will be logged as "organic" (or unpaid) searches within Google Analytics.
Labels: Google AdWords, Google Analytics, Google Analytics Tips
