Building Blocks of Digital Attribution: How to get started with Google’s attribution tools


What are the key steps to getting started with marketing attribution? Are you ready to move beyond the “last click” attribution model? How can you use Google’s tools to better understand your customer’s journey and calculate the impact of your digital marketing channels?



To help answer these questions, we’ve put together a series of webinars on attribution:
If you didn’t have a chance to catch last week’s webinar on Building Blocks of Digital Attribution, it’s a great place to start your attribution journey -- you can watch the recording above. During the webinar, Bill Kee, Product Manager for Attribution and Multi-Channel Measurement, discussed how to lay the foundation for digital attribution. First and foremost, it’s important to get your organization ready. In our work with customers and our recent attribution research, we’ve discovered that many companies try to pursue attribution before their culture or their data is ready. In the webinar, Bill describes the steps and the potential pitfalls to make sure your company is heading in the right direction.

Second, even if the organization has taken the necessary steps culturally, it’s challenging to find the right technology, and to ensure that technology is properly implemented.








We know that finding the right technology is a challenge, which is why Google offers several great attribution tools – including AdWords Search Funnels, Multi-Channel Funnels in Google Analytics, and Attribution Modeling in Google Analytics Premium. In order to get the most out of these tools, it’s important to ensure that the basics are set up correctly.  So, during the webinar, Bill also did a live demo of how to get started with AdWords Conversion Tracking and Google Analytics Goals. The setup is quick and easy – and once it’s in place, users can start accessing rich attribution data.

Naturally, we also received a lot of great questions from the webinar participants. We weren’t able to get to all of them during the webinar, so here are some responses and more pointers on getting started with attribution.







How do you define “digital attribution”?
Digital attribution is the process of assigning credit to the various online interactions your customer has before a “conversion” (conversion = making a purchase or performing some other valuable action on your site). These interactions could include display ads, paid or organic search results, email campaigns, affiliate coupon programs, social network posts, and other digital interactions. Today, many marketers by default use “last click” attribution, assigning all of the credit to the last interaction before a conversion. By understanding the full path to conversion – including early “upper funnel” touch points – and giving credit to all of those interactions, you’ll be able to budget more effectively and design better marketing campaigns.

What about attribution beyond digital channels?
Attribution is about improving the measurement of how ad spend drives conversions. To address this challenging topic, it’s important to consider all the factors that might affect conversions. These factors include the digital channels mentioned above, as well as how users interact with your brand across multiple devices, and the influence of online advertising on offline sales. This webinar series is focused on how to get the most out of digital attribution.

How do I know which interaction is the trigger for the actual conversion, out of the entire funnel?
The goal of attribution is to more accurately measure the impact of all your digital channels on sales, including how these channels interact in the path to conversion. This means acknowledging that, in most cases, there is no single “trigger” for the conversion, but rather a group of campaigns or touch points working together to help drive a conversion. So, a user might see a display ad which makes her start thinking about your product, then a few days later view an organic search result, then receive a targeted email, and finally buy your product. In this example the email was the last pre-conversion interaction, but all three interactions probably had an impact on your customer’s decision. Attribution is the process of deciding how much credit you want to give to each of those interactions.

How do I set up those tools you discussed during the webinar? Can you provide more detail for advanced setup needs?
Our help center provides very detailed information about how to get your AdWords and Analytics set up correctly, and responses to frequently asked questions. Check out our pages on:


In addition, if you'd like more help, we recommend contacting one of our certified partners – they can assist you with all aspects of implementation, as well as with interpreting your results. You can also check out our AdWords user forum and our Google Analytics user forum to get answers to your questions.

Does adding all this code to my website affect the site speed at all?
If the code is installed correctly by following the directions outlined on our help center pages (see above for links), it should not impact your site speed, or have only a very tiny impact. Setting up goals and conversion tracking will provide much richer data on how users arrive at your site and whether they’re doing what you want them to do once they get there. With that knowledge, you’ll be able to improve your marketing programs and your website.

What are some sample use cases for “event” goals?
A goal or a conversion can be more than just a purchase. Indeed, you can define multiple “micro-conversions” that represent various actions that are important to your business. So, you might use event goals to keep track of when a PDF was downloaded, or when a user watched a video or played an audio clip. Each of these “events” could be tied to goals that are of value to you. You can find more detail about event tracking in this article on the Google Developers site.

Why do I need to set up conversion tracking and goals? Can’t Google Analytics track without conversions?
It is possible to see some useful information without conversions, but defining conversions helps you measure what's important, rather than just general behavior. Plus, after you have these conversion tools set up in Analytics and AdWords, you’ll be able to access Multi-Channel Funnels, Flow Visualization, and Conversion Reporting in Google Analytics, as well as Search Funnels and Conversion Optimizer in AdWords. It’s quick and easy to get started, and it’s much more useful to look at a user’s path if you know that they’ve reached your desired end point and performed an action that’s valuable to your business.

Marketing attribution is a complex but very rewarding process – we hope that these tools and webinars will help you to get started.

Happy analyzing, and hope you'll join us for the next webinar in the series!

Sara Jablon Moked, Product Marketing Manager for Conversion and Attribution

Answers To Your Burning Google Analytics Questions

Last week we hosted a webinar on Getting Started with Analytics and received so many good questions during the event that we didn’t have time to answer all of them. I’ve sorted through the hundreds of questions and below are answers to the most asked and interesting. If you missed the webinar or want to rewatch, it’s now available on the Google Analytics YouTube channel.




QUESTIONS & ANSWERS:
Can I measure if a visitor plays a video, downloads a whitepaper, etc?
Yes, use Event Tracking to learn about visitor actions like video plays, or PDF downloads that don't correspond directly to pageviews. And once you set up an Event it can also be tracked as a Goal. You can assign a value to these Events as a microconversion. Start with a larger objective that has a monetary value, like landing a big client, then map out the smaller steps leading up to that sale. For example, you may discover that for your business, an average of 7 PDF downloads corresponds to 1 sale. The value of a download would then be equal to an average sale divided by 7.

How do I learn if my website drives phone calls & offline conversions?
Many business’ customers start researching online, but then pick up the phone and call to complete the sale. Think about what activities a user may do on your website that would motivate them to call. Do they spend time viewing your portfolio, reading testimonials, or checking out prices? Set up Goals to measure these micro-conversion actions that will help you learn which of your sources are providing quality visitors. You can also add unique phone numbers to the landing page or ad that will enable you to identify when a user calls you what marketing source they came from. The GA App Gallery has call-tracking integrations and here is an example of how Google AdWords enables call forwarding and tracking by pay per click campaigns.

Can I track actions that happen on a 3rd party page like email newsletter sign up or checkout?
Since this action happens outside of your website, Google Analytics will not be able to measure it. If you work with a third party vendor check with them to see if they can share with you any tracking information they may have. Be sure to check out the Google Analytics App Gallery to see if there are 3rd party integrations like payment solutions, reporting or email marketing that could work with you to solve this problem.

How do I get Multi-Channel Funnels Assisted Conversion reports in my account?
Similar to your other Analytics reports, Multi-Channel Funnels (MCF) are driven by the Analytics tracking code you have already placed on your webpages. No additional code is required to access MCF reports but you do need a Goal set up in your Analytics Account. Once you have goals set up, the MCF reports will be automatically filled with data for the visitor interactions that lead up to the completion of that goal. Keep in mind viewing MCF reports on a filtered profile can skew your data, learn more in our help center. We will also have a webinar focused on MCF reports coming soon.

Why do my visits in Analytics not match with AdWords or my website hosting service?
All of the AdWords reports in Google Analytics import data directly from the AdWords system, and they usually match the data in your AdWords account exactly. But there can be circumstances where the data can differ. For example AdWords clicks do not equal visitors, if a user clicks on your ad twice within thirty minutes without closing his or her browser this is registered by Analytics as one visit to your site, but it equals two AdWords clicks. Also your Analytics profile could be filtered to exclude visits from IP’s within your company, but your web hosting service could count those as visits. Here is a great article from our Help Center explaining this in more detail.

What is the best way to tag my marketing campaigns? And can I use a URL shortener?
If you need help creating campaign tags for links in your marketing campaigns (Search Marketing, Display Ads, Email Newsletters) check out the tagging tool in our Help Center. Remember to turn on AdWords Auto-tagging if you are running AdWords campaigns as this will automatically insert the campaign tags for you. Yes, you can use a URL shortener like goo.gl or other services out there to successfully pass your campaign tags through a nice short link.

If you’re interested in learning more about Google Analytics, we have a great webinar on Reaching Your Goals with Google Analytics. For more advanced users check out our Marketing Attribution Insights webinar, and watch the blog for more details about our attribution webinar series.

Posted by Ian Myszenski, Google Analytics team

Better Insights with Flow Visualization Enhancements

We've been listening to your feedback about Flow Visualization, and we’re excited to announce a number of significant upgrades that are available to all our users starting today.

Events Flow
We’ve expanded the Flow Visualization family of reports to now include Events Flow! This new feature can be found in the Content->Events section:

What problem does Events Flow help solve?
Event-driven websites had a difficult time analyzing the impact from their visitors using flow visualization. These are websites that land users on one URL, where there are multiple elements on that page for a user to interact with  (such as videos, roll over buttons, or games). These sites tend to have very few pages and get most of their value from visitor interactions with events. The Events Flow report addresses this issue by showing the order of events in which your visitors engaged.


For those who have used Visitors Flow before, the feel of the Events Flow report will be familiar - it includes all the same interactions of hovering, clicking, and adding additional steps. You can also analyze the flow of events by grouping the nodes in any of the following 3 options: Category, Category/Action, or Category/Action/Label.  For more information about using the Events Flow report, view our help center or this how to video to see how we analyzed the events that occurred in our very own Flow Visualization reports!

Flow Visualization Date Comparison
You can now compare two date ranges for the entire family of Flow Visualization reports: Visitors Flow, Goal Flow, and even the new Events Flow. This feature will help you to gain insights on how your visitor engagement changes over different periods of time.

Example of Goal Flow Date Comparison

Now you can analyze and measure how changes to your pages and/or goal steps affect your visitors behavior. It optimizes your workflow by removing the need to perform manual calculations and open two browsers to view two flow visualizations side-by-side. You can now do them all in one screen.

Plus, you can also highlight connections and instantly update all the comparison numbers for that particular traffic. Below is a real-life example from our Google Store. We compared two time periods (where we have removed a particular goal step) and discovered that pageviews from Firefox went down 15%.

From an initial impression, one might have concluded that the removal of the goal step could have potentially lower the traffic. However by highlighting that flow we were able to isolate that traffic to see how many orders were successfully completed. That was how we learned the number of orders actually went up 67%, and the removal of the goal step helped increased our conversion rates!

This feature can be extremely powerful for gaining additional insights on how to optimize conversions and the website experience for your visitors. Learn more in our help center.

Additional Goal Types in Goal Flow 
Are you interested in seeing how users convert on non-URL goals? Now you can, we’ve added support for additional types of goals including time on site and engagement in the Goal Flow report. Head on over to the Goal Flow report to choose the goal(s) you’re interested in.

Here are links that will help you easily find these reports in your Google Analytics account.
We hope these enhancements make Flow Visualization even more comprehensive and allow you to gain deeper insights. Please reach out to us with questions and comments, and we are always happy to take additional feature requests.

- Jerry Hong, Google Analytics team

Web Analytics TV #23 - The Holiday Episode


Welcome to the holiday episode of Web Analytics TV! Web Analytics TV, as you well know by now, is powered by your amazing questions. In this merry episode we had questions from France, Australia, Sweden, India, Germany, The Netherlands and the US.

If you’re new to this show, our process is simple.

Step 1: You ask, or vote on, your favorite web analytics questions. Vote on next week’s questions using this Web Analytics TV Google Moderator site.

Step 2: From a secret undisclosed location at the Googleplex Avinash Kaushik & Nick Mihailovski answer them. :-)

In this episode we award the “Ninja of the Episode” and award it to Maggie in Bulgaria, for a great question about the difference between the days and visits to transaction report and the time lag reports in multi channel funnels. Maggie, just email us and we’ll send you a signed copy of Web analytics 2.0.

OK. Here is the list of last episodes questions.

In this action packed episode we discuss:
  • (0:35) Working with changes in various country’s cookie policies
  • (1:56) Recommendation for tracking bounces on content sites
  • (4:32) Tracking exit links from your website
  • (7:00) Tracking and reporting customer lifetime value
  • (9:47) Days to purchase vs time lag reports in multi-channel funnels
  • (11:48) Cross domain and sub-domain tracking using a GACP
  • (13:01) Funnel visualization via the API
  • (16:03) Interaction hits and impact on quota
  • (16:41) Tracking internal referrals / campaings / house ads
  • (17:51) Why visits and entrances are the same for page level custom vars
  • (19:54) Comparing mondays, week over week
  • (20:42) Time between setting profiles filers and seeing data in reports

Here are the links to the topics we discuss:As always, if you need help setting up Google Analytics or leveraging the advanced configuration options, we recommend hiring a Google Analytics Certified Partner.

If you found this post or video helpful, we'd love to hear your comments. Please share them via the comment form below.

This series would not be possible without your awesome questions. Please submit them on our public Google Moderator site, and while you’re there don’t forget to vote for your favorite questions.  Avinash and I will answer them in a couple of weeks with yet another entertaining video.

Thanks!
Posted by Nick Mihailovski, Google Analytics Team

Web Analytics TV #22 - The Automation episode

Welcome to another delightful episode of Web Analytics TV! Web Analytics TV, as you well know by now, is powered by your amazing questions. In this wonderful episode we had questions from Australia, Denmark, India, Sweden, Germany andThe Netherlands.

If you’re new to this show, our process is simple.


Step 1: You ask, or vote on, your favorite web analytics questions. Vote on next week’s questions using this Web Analytics TV Google Moderator site.

Step 2: From a secret undisclosed location at the Googleplex Avinash Kaushik & Nick Mihailovski answer them. :-)

In this episode we award the “Ninja of the Episode” and award it to Niklas in Sweden, for a great question about the difference between events and custom variables. Niklas, just email us and we’ll send you a signed copy of Web analytics 2.0.

OK. Here is the list of last episodes questions.

In this action packed episode we discuss:
  • (0:23) Best practices for rollup reporting across multiple sites (See answer below)
  • (0:53) Reporting secure search in Google Analytics
  • (3:27) Troubleshooting funnel navigation reports
  • (4:31) Comparing using event tracking and session level custom variables.
  • (6:28) Measuring how visitors who interact with a video influence conversions
  • (7:35) When data in Google Analytics updated
  • (9:55) Representing multiple date ranges by column
  • (11:04) Best practices for tracking widgets
  • (11:40) Exporting greater than 500 rows from Google Analytics
  • (13:43) Comparing days to purchase by medium
  • (15:20) Using multiple tracking codes on the same page (see answer below)
  • (16:25) Best practices using custom variables to track multivariate test information
  • (18:10) Reporting across multiple currencies in Google Analytics
  • (19:10) Segmenting 'serious' visitors by loyalty and engagement metrics
  • (21:32) Measuring click to call buttons in your mobile websites
  • (22:45) The best and most time efficient way to put Google Analytics data into a powerPoint
  • (23:47) Tracking cross-sells or up-sells on a product page
  • (26:05) Tracking multiple ids or paths per page
  • (26:45) Why single page website show time on site metrics
  • (28:27) Using the reverse page path report for analysis
  • (30:21) Do profile filters impact site search reports
  • (32:39) How to get fast traffic in your reports


Here are the links to the topics we discuss:
There was one question asked which we needed to get more information. 

“What is your recommendation to simultaneously track data for a local site & having a roll-up profile to track aggregate data across all sites of a company.”

What we learned was that there are 25+ sites on different domains split across 2 business units. A simple solution is to pull out data using the API to create any rollup reports you need. Another option is to have multiple tracking codes on the same page, and have one code be the same across all the sites. That way all the data is sent into a single report which you can view.

One thing to keep in mind, is that each site will track visitors separately. So visitor numbers will not be accurate across all the sites.

So hopefully this helps you out. As always, if you need help setting up Google Analytics or leveraging the advanced configuration options, we recommend hiring a Google Analytics Certified Partner.

If you found this post or video helpful, we'd love to hear your comments. Please share them via the comment form below.

This series would not be possible without your awesome questions. Please submit them on our public Google Moderator site, and while you’re there don’t forget to vote for your favorite questions.  Avinash and I will answer them in a couple of weeks with yet another entertaining video.


How Google Analytics can help improve your online checkout


[The following is a follow-up post for a video (see above) that we made about websites that are difficult to use. Please watch, share and comment!]

Poor "nick4ever". All he wants to do is buy a loaf of bread from the supermarket, but the store's policies and procedures get in the way of him accomplishing this seemingly simple task! What appears to be a completely absurd situation is actually something that many online shoppers have to deal with on a regular basis. Some online stores have less-than-user-friendly steps that need to be completed for the customer to make a purchase. When visitors get frustrated, they leave the site and go find another place to make their purchase. Making it easy for your customers to complete a task on your site (like buying a product) is extremely important because, unlike in the real world, going to a competitor's shop is only a click away!

Imagine you are the manager of this brick-and-mortar supermarket and, as you are walking around the store, you see the scenario unfold that is depicted in this video. Hopefully, you would do something to fix this and make the shopping experience better for your customers. When managing an online shop, it isn't possible to walk around and observe your visitors to find out where they are running into trouble. Instead, you can use a free tool like Google Analytics to learn about where your customers are having problems using your site. Here are a few tips on how to set-up Google Analytics to get better visibility into where your site could be improved:

Improve customer retention in your checkout by using Goal Funnels
In Google Analytics, you can set up to 20 goals which are pages or events that represent a desired outcome from a customer's visit to your site. Goals can include actions like signing up to a newsletter, requesting a quote or making a purchase. If you have an online checkout, make sure to include the final confirmation (or "Thank You!") page as a goal page (as this is when an purchase has been completed.) When setting up a goal you can also include the steps or pages that the user has to progress through before arriving at the goal page. In the case of an online store, make sure that every page in the process is listed (e.g. "View Shopping Cart", "Select Delivery Option", "Enter Shipping Details", "Enter Payment Details".)
Once you have these goal funnels set up correctly, you can view the Funnel Visualization report which gives you an idea of how many visitors leave your checkout process at each step. Steps in the funnel that have a large dropout rate can indicate that visitors may be confused or frustrated with that particular page. Maybe there is new information (like a shipping charge) that scares them off? Or you are asking for information that they are unable or unwilling to provide? Is it possible that the page is just broken? You may want to investigate those pages with large drop-off rates to see if there is some way to make them easier for your customers to complete.

Reduce customer frustration by tracking errors with Event Tracking
In a process like a checkout, there are many ways that a visitor can experience a error message from a website. Incorrectly filling out a form field, forgetting to tick a box or taking too long are a few of the reasons why your checkout might raise an error to the visitor. Hopefully your error messages are clear and help your visitors correct their mistake, but is there something that you, as the site manager, can learn from them?
If possible, consider putting Google Analytics event tracking in the Javascript error handling code on your site. If correctly set-up, Google Analytics will count the number and types of errors that are shown to visitors. By looking at the Top Events report you can see which errors are experienced most often by visitors. Are these caused by confusion in what the form is asking for? Or is it from something like customers taking too long to complete a part of the checkout? Most importantly, is there anything you can do to reduce the chances of a customer running into these errors?

Ensure consistent customer experience across different browsers
There are a lot of different web browsers out there! When developing a web site, it can be difficult for your developers to test every bit of functionality on every single browser on every type of platform. This gets even more difficult when trying to take into account all of the different mobile browsers as well!
If you have a look at the Browser & OS report you can see which browsers your visitors use to access your site. This should give you a better idea of which browsers you should test on your site. To go even deeper, choose the option in the Browser & OS report to view how each browser contributes to total goal completions. If you switch between these two views, you should hopefully see similar pie charts where the percentage of visits from a particular browser is roughly the same as the percentage of orders for that browser. If 20% of your visitors use the Chrome browser, you would expect that about 20% of the orders placed would be from Chrome users. However, if you see, for instance, that 10% of your visitors use Safari, but 0% of orders come from a Safari browser, there may be a bug on your site that prevents users of that browser to finish placing an order. It might be useful to further investigate any browser incompatibilities that you discover.

As a website owner, you should strive to make your site as easy-to-use as possible for your customers. The data in Google Analytics and some of the tricks mentioned above can help you with this important job. Beyond this, there are several more tools like Site Speed Reports, Intelligence, Site Search and Google Website Optimizer which can help you further improve your site. If you need more help in setting up Google Analytics, consider working with one of our Google Analytics Certified Partners or purchasing Google Analytics Premium.

Web Analytics TV #21 - Short, Sweet, Delicious

Welcome to another delightful episode of Web Analytics TV! Web Analytics TV, as you well know by now, is powered by your amazing questions. In this wonderful episode we had questions from Australia, Denmark, India, Sweden, Germany, The Netherlands and even Cleveland Ohio.

If you’re new to this show, our process is simple.

Step 1: You ask, or vote on, your favorite web analytics questions. Vote on next week’s questions using this Web Analytics TV Google Moderator site.

Step 2: From a secret undisclosed location at the Googleplex Avinash Kaushik & Nick Mihailovski answer them. :-)

In this episode we award the “Ninja of the Episode” and award it to Scott in Cleveland, Ohio for a really great question about verification steps in funnels. Scott, just email us and we’ll send you a signed copy of Web analytics 2.0.

OK. Here is the list of last episodes questions.

In this action packed episode we discuss:
  • (0:53) Setting up a funnel for a process which requires a verification step
  • (3:21) The impact of using profile filters to remove internal IP addresses
  • (4:05) Using regular expressions to match on event goals
  • (5:15) Grouping multi-channel funnels by landing pages
  • (6:24) Tracking site links with Google Analytics
  • (9:27) Manual campaign tracking with links that use anchor tags
  • (11:15) Best practices for tracking sites with different language sections
  • (14:00) Getting a report with 3 dimensions
  • (15:40) Tracking bounce rate to many product pages as one page
  • (18:45) Seeing reports that have unique visitor utma ids





Here are the links to the topics we discuss:
As always, if you need help setting up Google Analytics or leveraging the advanced configuration options, we recommend hiring a Google Analytics Certified Partner.

If you found this post or video helpful, we'd love to hear your comments. Please share them via the comment form below.

This series would not be possible without your awesome questions. Please submit them on our public Google Moderator site, and while you’re there don’t forget to vote for your favorite questions.  Avinash and I will answer them in a couple of weeks with yet another entertaining video.

Thanks!
Posted by Nick Mihailovski, Google Analytics Team

Web Analytics TV #20 - The lost episode with a Special Guest

Welcome to another magical episode of Web Analytics TV! This time we have a special guest Caleb Whitmore from Analytics Pros, who is also a Google Analytics Certified Partner. Welcome Caleb! If you’re having difficulty implementing Google Analytics, Caleb has built the exceptional GAPE, Google Analytics Pros Engine, solution which simplifies tracking on your website. Check it out!

Ok. We had so much fun doing this episode, you are going to have a blast as well.

Web Analytics TV, as you well know by now, is powered by your questions. In this episode we had questions from Australia, India, Denmark, England, Germany Netherlands and so many other places. Y’all rock!

If you’re new to this show, our process for this show is simple.

Step 1: You ask, or vote on, your favorite web analytics questions. Vote on next week’s questions using this Web Analytics TV Google Moderator site.

Step 2: From a secret undisclosed location at the Googleplex Avinash Kaushik and Nick Mihailovski answer them. :-)

Here is the list of last episodes questions.

In this action packed episode we discuss:
  • (0:37) eCommerce conversion rate in custom reports

  • (1:05) Pan session analysis

  • (2:28) Controlling conversion attribution

  • (4:20) Impact of changing the campaign cookie timeout

  • (6:19) Tracking users across multiple sections of a website

  • (7:56) Tracking internal site campaigns in GA

  • (8:21) Report filters to mimic Custom Variables profile filters

  • (9:10) Tracking embedded YouTube videos

  • (10:24) Determining all organic traffic to a particular page

  • (11:52) Drilling into channel paths in Multi Channel Funnels

  • (12:32) Excluding traffic from bots

  • (13:48) Reporting the number of visitors between two sites

  • (15:08) Using a single vs multiple landing pages to track different campaigns

  • (17:00) What metrics to use for a single page website

  • (19:35) Filtering monitoring solutions like Gomez

  • (20:13) How you can use _getVisitorCustomVar

  • (21:21) Creating funnels with groups of URLs

  • (22:08) Why you can see more visits than pageviews (esp in Android tracking)

  • (23:47) Can you influence the timestamp of requests to GA

  • (24:05) How to track conversions for non-ecommerce websites

  • (24:51) Configuring goals that match both on pages and events

  • (25:55) Why you should change to async tracking

  • (27:18) How sampling in Google Analytics works







Here are the links to the topics we discuss:

As always, if you need help setting up Google Analytics or leveraging the advanced configuration options, we recommend hiring a Google Analytics Certified Partner.

If you found this post or video helpful, we'd love to hear your comments. Please share them via the comment form below.

This series would not be possible without your awesome questions. Please submit them on our public Google Moderator site, and while you are there don’t forget to vote for your favorite questions.  Avinash and I will answer them in a couple of weeks with yet another entertaining video.


Web Analytics TV #19 - The Most Productive Episode

Welcome to one of our most productive episodes of Web Analytics TV yet! We had so much fun doing this one, you are going to have a blast as well.

Web Analytics TV, as you well know by now, is powered by your questions. In this episode we had questions from Australia, Brazil, India, Denmark, England, Netherlands and so many other places. Y’all rock!

If you’re new to this show, our process for this show is simple.

Step 1: You ask, or vote on, your favorite web analytics questions. Vote on next week’s questions using this Web Analytics TV Google Moderator site.

Step 2: From a secret undisclosed location at the Googleplex Avinash Kaushik & Nick Mihailovski answer them. : )

In this episode we bring back the “Ninja of the Episode” and award it to Aaron from Tasmania, Australia. Really great questions Aaron. Just email us and we’ll send you a signed copy of Web analytics 2.0.

Here is the list of last weeks questions.

In this action packed episode we discuss:
  • (1:36) Cookies and laws (and milk)
  • (2:28) Setting multiple conditions for goals via Advanced Segments
  • (4:45) Using event tracking and custom reports to track calendars
  • (6:45) Getting site link data in Google Analytics
  • (7:37) Tracking conversions for individual products
  • (9:25) Best practices for setting up Google Analytics for different clients
  • (10:35) Tracking shopping carts on different domains
  • (11:54) Tracking internal site search on AJAX-type site search
  • (13:50) Combining referrals from different sites
  • (15:30) Implementing cross domain tracking with the async-tracking code
  • (17:05) How to determine when data is sampled
  • (19:42) Browser support for page speed reports
  • (22:08) Getting the name of each configured goal via the API
  • (23:16) When the GAIQ test will include version 5 content
  • (24:08) Getting hourly overview metrics in Google Analytics
  • (25:11) Differences between webmaster tools clicks and visits in GA
  • (26:18) How much income should you have to employee a web analyst
  • (30:06) Goal completions by different landing pages
  • (31:19) Visit duration calculation in Google Analytics
  • (32:53) Where to find e-commerce city and region data in Google Analytics
  • (34:02) Stopping other sites from sending fake traffic
  • (34:55) Virtual page views showing up in custom reports


Here are the links to the topics we discuss:
As always, if you need help setting up Google Analytics or leveraging the advanced configuration options, we recommend hiring a Google Analytics Certified Partner.

If you found this post or video helpful, we'd love to hear your comments. Please share them via the comment form below.

This series would not be possible without your awesome questions. Please submit them on our public Google Moderator site, and while you are there don’t forget to vote for your favourite questions. Avinash and I will answer them in a couple of weeks with yet another entertaining video.

The Making of Google Analytics v5

This is part of our series of posts highlighting the new Google Analytics. The new version of Google Analytics is currently available in beta to all Analytics users. And follow Google Analytics on Twitter for the latest updates. This week we’re sharing a few new features in our Intelligence reports.

Since we launched the new Google Analytics, we've been talking to many of you about the new version, and getting your feedback. One question we got was about our goals for the new version and why we made the changes we did. So, we got a few members of the Google Analytics team together to share their stories of how the new version began, our approach, and our goals in building it. Along the way, they also share a bit about what you can expect in the future from Google Analytics.

The Making of Google Analytics v5


We also put together a second video where the team runs through a few of the many new features in Google Analytics v5:

What’s New in Google Analytics v5


You can find more information on many of these in the New Google Analytics blog series including a few that aren’t mentioned in the video like Site Speed and new overview reports. And like Sagnik says at the end of the video, there’s much more to come in Google Analytics. Stay tuned!