Optimize Engagement using AddThis and ShareThis with Analytics

Increasingly users are discovering great content, products and links through social referrals such as +1 button endorsements, comments, likes, and shares. Earlier this year we introduced Social Plugin Analytics to help you analyze how users engage with any social plugin installed on your site - after all, what can be measured can also be improved and optimized!

MilkADeal started using Google Analytics earlier this year. It is a company in Malaysia that has benefited greatly from using Social Plugin Analytics. By using these new reports, they are able to uncover insights and create significant business process improvements. As reported in the New Straits Times, "In particular, the newly introduced social interaction tracking tool...We've been using it only in the last couple of weeks but we have seen an increase of almost 60% in social interaction visitors to our site," said Wilson Quah, founder of MilkADeal."

By optimizing the instrumentation of a few buttons on their site, MilkADeal is able to achieve better engagement, a big boost in number of high quality referrals, and better outcomes! Today, we are happy to announce that our partners, AddThis and ShareThis, are making this social plugin analysis even easier. Just as the +1 button is automatically instrumented for you by the Google+ team, publishers using AddThis and ShareThis will now have first class integrations with Social Plugin Analytics!

“Providing real-time analytics to 10 million domains each month, we see what big data can do every day. Integrating AddThis social signals into Google Analytics is a big win for publishers. We’re excited to contribute social sharing insight where it can be viewed in context of the GA interface.”

Will Meyer, VP of Publisher Products, Clearspring

“At ShareThis, we work to provide our publisher network of one million+ websites with actionable analytics on their social activity. It's great to see Google paving the way for the entire industry to derive meaningful insights from the social Web and we're incredibly pleased to be a launch partner."

Kurt Abrahamson, CEO, ShareThis

To enable the integration for all of your AddThis buttons, you are now just one line of code away, and ShareThis users don’t have to do a thing. If you have Google Analytics installed, and you are using a ShareThis widget, simply login into Google Analytics and check out your new social reports!

Posted by Ilya Grigorik, Google Analytics team

Update: AddToAny users will also be happy to know that their social buttons are automatically instrumented to work with event tracking and social plugin analytics!

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Non-Interaction Events! Wait... What?

Hey event tracking friends, we are really excited to announce a new feature to the Analytics event tracking landscape: non-interaction events. “But wait!” you ask, “How can an event—which measures user interaction—be non-interactive? And why would I want that anyway?”

The answer is simple: sometimes you want to track passive events on your pages, like images from an automatic slide show. In this case, you want such events to be excluded from bounce rate calculations because they don’t track visitor interaction. Now, you can mark these events as non-interaction events, so that they don’t affect the bounce rate for the page.

Let’s illustrate. Suppose your home page has an image slide show that automatically serves up 5 images in rotating order. Like so:



You want to apply an event tracking call with each movement of the slider, so that you know which images are being seen most by visitors to your home page. However, there isn’t really any interaction required on the visitors’ behalf to engage with this slider. You know that in the past, event tracking for this slider would make the bounce rate for your home page drop dramatically. Better to exclude these events from bounce rate calculation, so that the bounce rate for your home page is calculated only from pageviews for the page and not events.

How do you use it? Add our new non-interactive parameter with the _trackEvent() method like this:

_gaq.push(['_trackEvent', 'ImageSlider', 'Home', 'Image1', 1, true]);

To read the details, check out our Event Tracking Guide or our Reference doc on the _trackEvent() method.

In the past, you had to trade off bounce rate signals for event tracking in some situations. Now, with the ability to designate an event as either interactive or not, you can have your events and bounces too.

We hope you think this features is as nifty as we do. Tell us some of your great applications and uses below!


Posted by Patricia Boswell, Google Analytics team

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BCIT increases visitor satisfaction with 4Q Suite and the Google Analytics API

One of the great aspects of being part of the Developer Relations team for Google Analytics is that I get to work with a lot of awesome partners that build cool and successful apps using the Google Analytics API. We've decided to share these successes as a series of mini case studies highlighting a variety of Google Analytics Apps. And to start off with we have iPerceptions’ 4Q Suite.

Objective: Improve the visitor experience

British Columbia Institute of Technology wanted their website to be both functional and satisfying. But, behavioral data alone wasn’t telling them what key audiences thought about the site. BCIT knew what visitors were doing on the site but wanted to learn more about why they behave the way they do. The overall objective for BCIT was to gain a better understanding of which content and processes were most effective for various audiences.

The Solution: 4Q Suite and the Google Analytics API

To meet this objective, BCIT chose 4Q Suite, an online survey tool built by iPerceptions. 4Q uses the Google Analytics API to link 4Q Suite survey responses with the corresponding Google Analytics session data. An analyst can then use this data to answer questions related to visitor intention and satisfaction. 4Q tracks six “Voice of Customer” events within Google Analytics. These events are related to survey completion, task completion, purpose of visit, and overall satisfaction. With 4Q survey data available in Google Analytics, marketers can better prioritize site enhancements, monitor the effectiveness of ad campaigns and marketing events more closely, and quickly identify changes in conversion. The Google Analytics API also makes it possible for 4Q to export GA data into the 4Q Suite dashboard, enabling analysis of the integrated dataset and open-ended feedback. And, users can view or receive automated alerts of significant changes based on the combination of 4Q Suite and Google Analytics data.

Result: Increased visitor satisfaction

Alan Etkin, Project and Web Analytics Manager at British Columbia Institute of Technology uses Google Analytics and 4Q Suite to segment site visitors by key audiences (students, prospective students, and faculty & staff), and see the differences in task completion and satisfaction. When BCIT redesigned their site with a strategic focus on prospective students, they saw a 15% increase in satisfaction among these visitors. Their behavioral analytics data also showed a 279% increase in a key conversion event for prospective students. From a strategic standpoint, 4Q Suite has given BCIT a clearer understanding of key audiences and has helped them report their results to the leadership team with easy to understand metrics. This, in turn, has helped them secure additional resources and the support to move forward with new projects.

About 4Q Suite and Google Analytics

4Q Suite was built by iPerceptions. According to Claude Guay, President & CEO, “The response has been tremendously positive. Many of our clients insist that the integration between 4Q Suite and Google Analytics is the most valuable feature that iPerceptions has to offer because it connects what visitors are doing on their website with why they are doing it and how satisfied they are. 4Q Suite has rounded out our Voice of Customer analytics offering. Now companies of all sizes can hear what their website visitors are saying, connect the what with the why, and react to the issues that affect satisfaction and conversion. In the space of a few weeks since launching, hundreds of 4Q Suite customers have already enabled Google Analytics integration.”

4Q Suite can be found through the Google Analytics App Gallery or directly from the 4Q Suite website.

If you’re interested in developing applications for the Google Analytics platform visit Google Analytics for Developers.

Posted by Pete Frisella, Google Analytics API team

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Google Analytics User Conference in Spain - October 27

We are excited to announce our first Google Analytics User Conference in Spain, which will be held on October 27 in Madrid.

At the conference, you’ll learn from national and international Google Analytics specialists, who will discuss their vision for maximizing Google Analytics performance for different online business areas. You’ll also have the chance to meet some of the most influential Google Analytics professionals in Spain, including Enric Quintero from Metriplica, Pere Rovira from Web Analytics, and Jaum Clotet & Andrés Flores from Watt. They are all Google Analytics Partners, and they’ve worked together closely to develop this exciting event.

This event will be an ideal opportunity to share your own analytics knowledge and talk with other Google Analytics users, experts, and members of the Google Analytics team.

Key benefits of attending the Google Analytics User Conference:

• Meet members of the Google Analytics team, experts, and other users like you
• Improve your skills with Google Analytics through hands-on workshops
• Ask your business questions at the Google Analytics Help Desk
• Discover new features in Google Analytics

You can find further information, such as the agenda and speakers, on the Google Analytics User Conference Website. Please visit the site today and and buy your tickets to attend.

We look forward to seeing you there!

Posted by Timo Josten, Google Analytics team

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Introducing Flow Visualization: visualizing visitor flow

Many of you have shared with us difficulties you’ve experienced when using traditional path analysis tools. For instance, many of these tools don’t sensibly group related visitor paths and pages, and segmentation analysis can be difficult. You’re looking for better ways to visualize and quickly find those insights about how visitors flow through your sites.

The Google Analytics team has been listening and is working hard to meet your needs. Our design team chose not to build individual “path analysis,” which can quickly become complicated. Instead, they took inspiration from a wide range of sources to reimagine approaches for visualizing visitor flow. Our goal is to help marketers and analysts better optimize their visitor experience by presenting the ways that visitors flow through their sites in an intuitive and useful way.

This morning at Web 2.0 Summit, Susan Wojcicki & I unveiled the release of “Flow Visualization” in Google Analytics, a tool that allows you to analyze site insights graphically, and instantly understand how visitors flow across pages on your site. Starting this week, “Visitors Flow” and “Goal Flow” will be rolling out to all accounts. Other types of visualizers will be coming to Google Analytics in the coming few months, but in the meantime, here’s what you can expect from this initial release.

Visitors Flow

The Visitors Flow view provides a graphical representation of visitors’ flow through the site by traffic source (or any other dimensions) so you can see their journey, as well as where they dropped off. You’ll find this visualizer on the left hand navigation menu, where you’ll see a new “Visitors Flow” link under the Visitors section.



Nodes are automatically clustered according to an intelligence algorithm that groups together the most likely visitor flow through a site.

You’ll also notice that we made the visualization highly interactive. You can interact with the graph to highlight different pathways, and to see information about specific nodes and connections. For example, if you want to dive deeper into your “specials” set of pages, you can hover over the node to see more at a glance.



This type of visualization allows you to answer important questions, such as “How successful is my new promo page?” In the example above, a marketer instantly gains the insight that there are 5.46K visits (based on the sources on the left hand side) and the majority of visits to the “specials” or promo page come from Google search.

To take this a step further, you can drill down into any node by “exploring the traffic” through the node. In this case, you can see how visitors coming specifically from Google search journeyed across your site.



We realize that you might want to specifically focus on a node, so we’re providing data on all the visits that lead to that node, and not just the ones that come from the top sources in the Visitors Flow. You can also traverse the path forwards or backwards on this visualizer to gain more insight on how engaged the users are to your new promotion.

Goal Flow

Goal Flow provides a graphical representation for how visitors flow through your goal steps and where they dropped off. Because the goal steps are defined by the site owner, they should reflect the important steps and page groups of interest to the site. In this first iteration, we’re supporting only URL goals, but we’ll soon be adding events and possibly other goal types.



You can find the Goal Flow visualizer in the Conversions > Goals section of the “Standard Reporting Tab.” Goal Flow helps you understand:

• The relative volume of visits to your site by the dimension you choose (e.g. traffic source, campaign, browser)
• The rates at which visitors abandon different pathways
• Where and how visitors navigate each of the steps that you defined
• How the visitors interacted with your site, including backtracking to previous goal steps

You can also apply any advanced segments to a Flow Visualizer. In addition, for those who want to see how visitors arrive at a page (or pages) of interest, they can select that page (or pages) and visualize “backward”. Such “reverse paths” could help site owners identify suboptimal placement of content. Similarly, “forward” paths from a page (or pages) can be visualized to understand most visited pages or to see visitor flow leakages that a site owner might be unaware of.



Pages before and after the node of interest are automatically grouped based on the most common “visitor” flows, and we’re building continued improvements to help group together sensible visitor paths and page nodes.

If you don’t have goals or goal funnels already set up, don’t worry. You can create a new goal or goal funnel from your profile settings and check it out right away - it works backwards on your historical data.

These two views are our first step in tackling flow visualization for visitors through a site, and we look forward to hearing your feedback as all users begin experiencing it in the coming weeks. We’re excited to bring useful and beautiful tools like these to help you understand your site, so stayed tuned for more!

As always, we welcome your input on how we can make Flow Visualization truly useful for you, so let us know in the comments, or send us your thoughts.

- Posted by Phil Mui, Google Analytics team

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Making search more secure: Accessing search query data in Google Analytics

As search becomes an increasingly customized experience, particularly for signed in users, we believe that protecting these personalized search results is important. As part of that effort, today the Google Search team announced that SSL Search on https://www.google.com will become the default experience for signed in users on Google.com (see the Official Google Blog post to learn more). Protecting user privacy is important to us, and we want to take this opportunity to explain what the Google Analytics team is doing to help you continue measuring your website effectively in light of these changes.

How will this change impact Google Analytics users?
When a signed in user visits your site from an organic Google search, all web analytics services, including Google Analytics, will continue to recognize the visit as Google “organic” search, but will no longer report the query terms that the user searched on to reach your site. Keep in mind that the change will affect only a minority of your traffic. You will continue to see aggregate query data with no change, including visits from users who aren’t signed in and visits from Google “cpc”.

What is Google Analytics doing about it?
We are still measuring all SEO traffic. You will still be able to see your conversion rates, segmentations, and more.

To help you better identify the signed in user organic search visits, we created the token “(not provided)” within Organic Search Traffic Keyword reporting. You will continue to see referrals without any change; only the queries for signed in user visits will be affected. Note that “cpc” paid search data is not affected.

Our team continues to explore ways that we can surface relevant information, like search query data, to help you measure the effectiveness of your website and marketing efforts, and as always, we welcome any feedback or comments that you have. Thank you for continuing to help us improve Google Analytics.


Posted by Amy Chang, Google Analytics team

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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.

Posted by Clancy Childs, EMEA Manager for Google Analytics Premium

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Multi-Channel Funnels: Your top questions from the Webinar

On Tuesday, October 11 we hosted a webinar about Multi-Channel Funnels. During the presentation we collected lots of great questions from participants; you’ll find responses to the top questions below. You can also watch a recording of the webinar here:



How do I access the Multi-Channel Funnels reports?
Multi-Channel Funnels (MCF) reports are available in all Google Analytics (GA) accounts and can be found in the standard reporting tab: click on Conversions at the left-hand side of the user interface, then click Multi-Channel Funnels. To access the MCF reports, you must be using the new version of GA, (check the link at the top right of your user interface). In order to have data populated, the profile must have at least one active goal or have ecommerce tracking. (Also note that if you have filters on your profiles, MCF reports may not give accurate results because filtered profiles include only a subset of your traffic and can therefore cause certain interactions from users prior to conversion to be excluded.)

Are special tags required for Multi-Channel Funnels? What about for paid or social campaigns?
Multi-Channel Funnels uses the same Google Analytics site and campaign tagging that other reports in GA use, so there is no additional site tagging required. All types of campaigns, including paid campaigns on social networks, can be manually tagged using Google Analytics URL parameters. The help center has more details on campaign tagging.

How do you recommend tracking conversions for both ecommerce and non-ecommerce sites?
Conversions are measured based on the goals or ecommerce tracking you have set up in Google Analytics. You can create goals for many different kinds of events on your site, not just ecommerce transactions. For instance, you could create a goal to track when a lead form is submitted, or when a PDF is downloaded. Once you’ve created goals, you can view MCF reports in aggregate, or you can select the specific goal you'd like to analyze from the "Conversions" drop down at the top of the reports.

How are conversions measured if a user has purchased two different times in the same month?
Each conversion path is treated separately, so there would be a unique conversion path for each of the two conversions, even if by the same user. Note that MCF reports look only at the paths of visitors who converted, not those who did not convert; conversion rate metrics are not included in these reports.

Can you manually change the Time Lag lookback window?
The Time Lag window is currently set to 30 days. We’ve found that this time period covers a wide range of use cases and provides rich data for most users. User objectives may vary, so we are exploring ways to provide different lookback options. At this time we have nothing to announce.

Is Multi-Channel Funnel data retroactive? How far back does it go?
Yes, it is retroactive until the beginning of this year (January 2011).

How do Multi-Channel Funnels reports handle display interactions?
A display interaction is a click to your site from a display ad. To track these interactions as “display,” you can create a custom channel grouping and specify parameters for display. For clicks from the Google Display Network, you can group these by setting the Ad Distribution Network to Content. Note that display impressions are not included in Multi-Channel funnels data. Only clicks and visits to the site are tracked at this time. This is an area of interest, but we have nothing to announce at this time.

How do I define certain pages as “Social” for the Multi-Channel Reports?
The Basic Channel Grouping in Multi-Channel Funnels assesses the traffic source and automatically classifies referrals from about 150 domains as Social Networks. The help center includes a description of the basic channel groupings. You can see the list by creating a copy of the basic channel grouping and editing the Social Network channel grouping.

What are best practices for using Channel Groupings in Multi-Channel Funnels?
The rules used to create the basic channel groupings are described in the help center, which also includes further information on using channel groupings. Note that channel groupings are only available in MCF reports and cannot be used in other GA reports at this time.

Why are there discrepancies between Multi-Channel reports and My Site reports for ecommerce stats of AdWords traffic?
As mentioned during the webinar, the data in the Multi-Channel Funnel reports can currently be 24-36 hours delayed beyond the data shown in other Google Analytics reports. As such, if the date range selected includes the most recent 2-3 days, there can be differences between the two reports. For older date ranges, the conversion counts and ecommerce totals should match.

Is remarketing counted as display activity?
Any campaign can be tracked by following GA parameters. You can define how remarketing is included or not included in channel groupings and with custom campaigns.

How is the value of first interactions, last interactions, and assist interactions calculated?
Any click from a channel to your website is counted as an interaction. When a user converts, Multi-Channel Funnel reports combine these different interactions into a full conversion path. You can read more about interactions and channel contributions here. Note that assist interactions exclude the last interaction.

Can Multi-Channel Funnel data be exported through the API?
No, Multi-Channel Funnel data is not yet available through the API, but this functionality is planned.

Please also check our help center for further details on all of your questions!


Posted by Bill Kee, Product Manager, Google Analytics team

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Join the GA team and Partners at GAUGE NYC

This is a guest post from Caleb Whitmore from Analytics Pros, a Google Analytics Certified Partner. Caleb is also the Chair of the Google Analytics Users' Great Event (GAUGE) conference. We hope you'll join the members of the GA team and GA Partners in New York for GAUGE.

The GAUGE Google Analytics User Conference in New York City is just around the corner on October 17th and 18th. It's not to late to grab a spot and and catch up on the latest and greatest with Google Analytics, learn from top experts on GA, and meet other users of the product and members of the Google Analytics team! More information and registration is at www.gaugecon.com. Use code GBLOG10 for a 10% registration discount.

Whether you're new to using Google Analytics or a veteran user with years of experience, there's always something new to learn about the product thanks to the rapid change of the Internet and the hard work of the Analytics team at Google to continually improve GA. So, how can you keep your knowledge of how Google Analytics works and what you can do with it? There's a great answer: Google Analytics User Conferences!

Attendees at GAUGE in San Francisco

I have the privilege of leading one such conference: GAUGE, or as we call it, the Google Analytics Users' Great Event. GAUGE is one of many flavors of Google Analytics User Conferences popping up all over the world, led by cohorts of Google Analytics Certified Partners. The New York GAUGE event is presented by: Analytics Pros, Blue State Digital, Cardinal Path, and E-Nor. This event is also co-located with Data Driven Business Week, which includes eMetrics, Conversion Conference, Predictive Analytics World, IMC, and Text Analytics World.

Our goal with GAUGE is to create an event that is by users, for users and insanely practical. I started GAUGE after going to one-too-many conferences where great ideas were presented but little practical "how-to do this with Google Analytics" guidance was given. The GAUGE in New York is a two-day event that includes:

• 24 hands-on sessions and workshops led by top Google Analytics experts
• Two keynote addresses: Mythbusting Google Analytics by Stephane Hamel and How to use GA data by Piyanka Jaine
• "What's New with Google Analytics" presented by Phil Mui of Google
• Q&A session with Google Analytics engineers
• Analytics Helpdesk where you can get direct consultation from a Google Analytics pro
• Exhibits from Google Analytics application developers
• Networking with Googlers and other GA users, and more!

Google Analytics blog readers can use code GBLOG10 for a 10% registration discount.  We also have a 15% discount for WAA members, a 25% discount for teams of 3 or more from the same company as well as a 50% discount for government and non-profit employees. You can contact gauge@analyticspros.com with registration questions.

If you're not able to attend GAUGE in New York, consider attending our San Francisco event in early 2012, or watch for other Google Analytics conferences and training events happening around the world (here's a page listing some recent/forthcoming events).

I hope to see you in New York or at another GAUGE event in the future!

Posted by Trevor Claiborne, Google Analytics team

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Webmaster Tools in Google Analytics for everyone

Back in June, we announced a pilot program to allow users to surface Google Search data in Google Analytics by linking their Webmaster Tools accounts. We’ve been busy making some improvements and tweaks based on user feedback, and today we’re excited to make this set of reports available to all users.

The Webmaster Tools section contains three reports based on the Webmaster Tools data that we hope will give you a better sense of how your site performs in search results. We’ve created a new section for these reports called Search Engine Optimization that will live under the Traffic Sources section. The reports you’ll find there are:

• Queries: impressions, clicks, position, and CTR info for the top 1,000 daily queries
• Landing Pages: impressions, clicks, position, and CTR info for the top 1,000 daily landing pages
• Geographical Summary: impressions, clicks, and CTR by country

Queries report

To start using the reports you first need to link your Google Analytics and Webmaster Tools accounts. You can get step by step instructions and additional information on the reports in this Help Center article. If you’re not already using Webmaster Tools, we highly recommend you start. It’s a free tool that helps you understand how Google sees your site. Sign up on the Google Webmaster Tools homepage. Enjoy the new reports, and let us know how they’re helping your analysis.


Posted by Kate Cushing, Associate Product Manager, Google Analytics team

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