Have you ever wondered which other pages on the web link to your own? Wouldn’t it be nice to know which sites are talking about your content, and in which context? Well, a problem no more: now you can see all the backlink URL’s, post titles, and more right within the new Social reports.

The concept of trackbacks, a protocol by which different sites could notify each other of referencing links, first emerged back in 2002. Since then, the blogosphere has grown in leaps and bounds, but the requirement for each site to explicitly implement this protocol has always stood in the way of adoption. If only you could crawl the web and build an accurate link graph. The good news is we already do that at Google, and are now providing this insight to Google Analytics users.

   

If you’re not familiar with Trackbacks, then think of it as automated Google Alerts for all of your pages: you publish new content, we scour the web for pages that link to it and build automated reports for you right within Google Analytics - simple as that.

These reports provide another layer of social insight showing which of your content attracts links, and enables you to keep track of conversations across other sites that link to your content. Most website and blog owners had no easy mechanism to do this in the past, but we see it as another important feature for holistic social media reports. When you know what your most linked content is, it is then also much easier to replicate the success and ensure that you are building relationships with those users who actively link to you the most.

To learn more about the new Social and ROI reporting, take a look at our announcement last month, and also take a look at in-depth example of how to use these new reports to measure your user’s engagement in Google+.

Posted by Ilya Grigorik, Google Analytics team

Last week, we hosted a webinar on marketing attribution. We had a lively discussion about our recent attribution whitepaper, and we looked at Google’s solutions for attribution -- including Search Funnels in AdWords and Multi-Channel Funnels in Google Analytics, and the Attribution Modeling Tool in Google Analytics Premium. During the webinar, many of you wrote in with great questions, and we’ve provided answers below to some of the top questions.

If you weren’t able to join us last week, you can view a recording of the webinar here.

Questions & Answers:
Q: How can I learn more about getting started with attribution using Google’s tools?
A:This webinar was the first in a series on attribution -- please watch the blog for updates and registration information for our next webinar, “Building Blocks of Digital Attribution.” In the meantime, read on for some more tips.

Q: Where can I learn more about setting up conversions?
A: Setting up conversion tracking in Google Analytics is one of the most valuable things you can do to make your reports actionable and meaningful, and getting these set up properly will allow you to use Google’s attribution solutions. There are resources available in the help center to help you set up goals and ecommerce tracking. You can also view the recording of our recent “Reaching your goals with Google Analytics” webinar.

Q: When should I use AdWords Search Funnels compared to Google Analytics Multi-Channel Funnels? 
A: Both tools can give you insight into how your customers ultimately end up converting on your site. If you are using AdWords Conversion Tracking today, Search Funnels is available without any additional configuration. You can see the interactions your customers have with your search ads leading up to conversion, including both clicks and impressions. However, you can only see these interactions for paid search on Google AdWords.

Multi-Channel Funnels in Google Analytics allows you to analyze traffic sources beyond search, including display, social, email, referrals, affiliates and more - putting your conversion path data in a broader context. Using these reports requires installing Google Analytics tracking code on your site, and setting up goals and/or ecommerce tracking (see links above) -- once these are set up, Multi-Channel Funnels reports work automatically. Note that you  are not able to analyze search ad impressions in Multi-Channel Funnels.

Watch this blog for updates on future webinars in our attribution series that will provide more details on Search Funnels and Multi-Channel Funnels.

Q: How much of an impact does the use of multiple devices have in skewing the numbers we see in these reports? 
A: Mobile and other devices are becoming increasingly important. Multi-Channel Funnels will report on conversion paths that take place on a single device, but not across devices. For example, if a user visited your site on a mobile phone, and then completed a purchase in a desktop browser, those interactions would not be included in the same conversion path.

Q: Can I report on both AdWords Keyword and Matched Search Queries in Google Analytics?
A: You have the option to view either the AdWords Keyword or the Matched Search Query by choosing these dimensions in the data table. Multi-Channel Funnels and Attribution Modeling support a wide range of AdWords and non-AdWords dimensions for reporting and creating attribution modeling rules.

Q: Can you add your own models to the Attribution Modeling Tool or they are all built in? 
A: You can create and save custom models in the Attribution Modeling Tool in Google Analytics Premium. Custom models allow you to create rules that adjust credit based on attributes like the traffic source (e.g. search vs. direct), position (first, middle, last) the level of engagement driven (time on site and page depth), and timing (how much time prior to conversion).

Q: How do advertisers take action on attribution data?
A: Attribution data can help advertisers identify marketing efforts that may be undervalued or overvalued under models such as the last click, so they can adjust their marketing programs. For example, a general keyword like “shoes” may show fewer conversions compared to a more specific, branded term for a type of shoe on a last click basis. However, applying a model that gives some credit for searches prior to the last click may show that “shoes” is credited with more conversion value. When making optimization decisions around which keywords to invest in or cut, advertisers can look at multiple models, and then experiment with investing in keywords that show higher value under alternative models. Similar methods apply to channels like display, social, email, and affiliates. This can help identify areas of opportunity that are missed when using only the last click.

Happy Analyzing!


Posted by Bill Kee, Product Manager for Attribution, Google Analytics team

We’re excited to announce 3 upcoming Google Analytics User Conferences in Europe. The first will be in Brussels on May 3rd, the second will be in Stockholm on May 8th and the third will be in Barcelona on May 10th.

You can find further information, such as the agenda and speakers, on the links below. In our experience these events quickly sell out. So act fast if you want to take part, otherwise it is possible that you have to wait another year for the next event!

Key benefits of attending a Google Analytics User Conference:

• Meet members of the Google Analytics team, experts, and other users like you
• Learn through tangible examples how to measurably impact your business
• Find out how others solve the challenges you are facing today
• Have your business questions addressed by Google and Google Analytics Certified Partners

Brussels:

View the full agenda and register at www.gabc.be. 

This is the first Belgian User Conference! You will get to hear from some of our local Belgian Partners as well as Google speakers. Topics will range from learning how to take action using diverse data sets, creating tailor made dashboards, how to optimize your ROI with advanced campaign tracking, to measuring the value of social analytics.

Stockholm: 

View the full agenda and register at www.analyticsconference.se 

This is the second Google Analytics User Conference in Sweden. You’ll learn from national and international Google Analytics specialists to use the tool for maximum impact. You will meet speakers from Google as well as speakers from Google Analytics Certified Partners such as inUse Insights, Klikki, iProspect, Guava, and Relevant Traffic.

Barcelona:

View the full agenda and register at www.googleanalyticsconference.es 

Building on the successful User Conference last year in Madrid, some of our Spanish partners have decided to do the same in Barcelona! Meet and share your experiences with other users of the tool, experts in the field of Analytics, and of course meet the Google speakers. Make sure not to miss the hands-on workshops that are being offered! 

User Conferences are part of a global series of events hosted by Google Analytics Certified Partners. This series brings together Partners from each region to present content that is relevant to local Google Analytics users.

We look forward to seeing you there!

Posted by Jon Day, Google Analytics team

As part of our mission to make the web faster, Google Analytics provides Site Speed reports to analyze your site’s page load times. To help you measure and diagnose the speed of your pages in a finer grain, we’re happy to extend the collection of Site Speed reports in Google Analytics with User Timings.

With User Timings, you can track and visualize user defined custom timings about websites. The report shows the execution speed or load time of any discrete hit, event, or user interaction that you want to track. This can include measuring how quickly specific images and/or resources load, how long it takes for your site to respond to specific button clicks, timings for AJAX actions before and after onLoad event, etc. User timings will not alter your pageview count, hence,  makes it the preferred method for tracking a variety of timings for actions in your site.

To collect User Timings data, you'll need to add JavaScript timing code to the interactions you want to track using the new _trackTiming API included in ga.js (version 5.2.6+) for reporting custom timings. This API allows you to track timings of visitor actions that don't correspond directly to pageviews (like Event Tracking).  User timings are defined using a set of Categories, Variables, and optional Labels for better organization. You can create various categories and track several timings for each of these categories. Please refer to the developers guide for more details about the _trackTiming API.

Here are some sample use cases for User Timings

• To track timings for AJAX actions before and after onLoad event. 
• A site can have their own definition of “User Perceived Load Time”, which can be recorded and tracked with user timings.  As an example, news websites can record time for showing the above fold content as their main metric instead of onLoad time. 
• Detailed performance measurement and optimization of sub components on a page, such as time to load all images, CSS or Javascript, download PDF files and time it takes to upload a file.

Want to check out User Timings Report in your account?
Go to the content section and click the User Timings report under Content section. There are three tabs within the User Timings report for you to review: Explorer, Performance, & Map Overlay. Each provides a slightly different view of user timings reported.

The Explorer tab on the User Timings report shows the following metrics by Timing Category, Timing Variable, or Timing Label (all of which you define in your timing code).

• Avg. User Timing—the average amount of time (in seconds) it takes for the timed code to execute
• User Timing Sample—the number of samples taken

The Explorer tab also provides controls that you can use to change the tabular data. For example, you can choose a secondary dimension—such as browser— to get an idea of how speed changes by browser.

To learn more about which timings are most common for user timings, switch to the Performance tab. This tab shows timing buckets, providing you with more insight into how speed can vary for user reported timings for selected category, variable and label combinations. You may switch to Performance tab at any point of navigation in the Explorer tab, such as after drilling down on a specific category and variable, to visualize distribution of user reported timings.  The bucket boundaries for histograms in Performance Tab are chosen to be flexible so that users can analyze data at low values ranging from 10 milliseconds granularity to 1 minute granularity with addition of sub-bucketing for further analysis.

The Map Overlay tab provides a view of your site speed experienced by users in different geographical regions (cities, countries, continents).

-  Satish Kambala & Mustafa M. Tikir, Google Analytics team

The following is a guest post contributed by Daniel Waisberg, Owner of Conversion Journey, a Google Analytics Certified Partner, and Founder of Online Behavior, a Marketing Measurement and Optimization portal.


Google Analytics has recently launched a new set of reports called Social reports, which can be used to analyze on-site and off-site interactions with social networks in reference to your own website content. The reports’ ultimate goal is to enable brands to measure the return on investment for social media activities and make more accurate, data-driven decisions about social. 

The most significant change that it brings to the game is we are now able to better tie social activities (on and off-site) to online behavior and revenue. This is especially accentuated for the Social Data Hub Partners, a group of networks that use the platform provided by Google Analytics; for all these networks we can learn deep information about off-site behavior. 

I have recently written a guide to Google+ Analytics, where I discussed how to use Google Analytics in order to understand Google+ on-site interactions (e.g. +1 button clicks) and off-site interactions (e.g. comments, posts, shares that happened on Google+). In this post I will recap the main points of that guide and add actionable tips that will help marketers and analysts use these reports effectively.

Setting Up Goals - First Step to Social Media Measurement

Before using the Social reports, it is essential to configure your website goals on Google Analytics, otherwise the reports won't be as useful (here is a step-by-step guide). Thomas Carlyle wrote: "A man without a goal is like a ship without a rudder." The same is true for Google Analytics accounts: if a goal is not configured, the stats will not help improving the performance of websites, no matter how good the reports are.

Google+ Social Referral Traffic - Quantity and Quality

According to Google Analytics, the Social Sources report, the first in the list of Social reports, is described as follows:

The Sources report shows engagement metrics (Pageviews, Avg. Time on Site, Pages/Visit) for traffic from each social network. This report is also enhanced with off-site data for Social Data Hub partner networks. Click on a partner network to see the URLs that were shared on that site, how they were shared (for example, via a "+1" or "reshare" action), and the public conversations that took place about your content.

In this report we will see the number of visitors that came through Google+, the number of pageviews that they saw, time on site and number of pages per visit. Nothing surprising.  However, since Google+ is part of the Social Data Hub, we can click through to get more detailed data on what kinds of interactions happened off-site, i.e. on plus.google.com. 

As you will see, when clicking through to the Google+ row (see screenshot above) we will have two reports on the Social Referral tab: Google+ Shared URL and Google+ Social Network and Action (the tabs can be found above the graph, and the reports below the graph).

Google+ Shared URL

The Google+ Shared URL report shows which URLs were shared in Google+ and what traffic they drove. It will also provide a Data Hub Activities metric, which tells how many interactions they drove on Google+ including: +1, post, comment and reshare.  

Actionable Tip: use this report to find out which content drives the most social activity on Google+. Based on that, you might consider increasing the exposure of this content on prominent website real estate.

Google+ Social Network and Action

If you click on the link to Social Network and Action (see arrow above), you will be able to see all interactions performed on Google+, segmented by action type. 

Google+ Conversations - Activity Stream

Moving over to real interactions with real people, Activity Streams allow us to see the conversations as they happened inside Google+ (for activities that have occurred publicly). The conversations are organized starting from the newest and we can do the following actions for each conversation:

1. Page Analytics: leads to more information regarding traffic that was resulted from the post.
2. View Ripple: leads to the post Ripple, an interactive visualization of the public shares of the post
3. View Page: leads to the website page that was shared
4. View Activity: leads to the actual publicly-shared post on Google+ 

Actionable Tip: use this report to discover people that are evangelizing your brand on Google+ and interact with them. Once you find those people, create a circle with them (call it "Evangelists") and start interacting with them in an ongoing basis.

Google+ Conversion Rates - Assisted vs. Last Interaction Analysis

This report uses the same functionality as the Multi-Channel Funnels reports. It provides both the last touch interaction value (i.e. conversions that happened in a visit attributed to Google+) and also the assisted value (i.e. conversions that happened in a visit following the visit from Google+). Above is a screenshot of how it looks and the explanation given by Google about the metrics in the chart. 

Assisted Conversions and Assisted Conversion Value: This is the number (and monetary value) of sales and conversions the social network assisted. An assist occurs when someone visits your site, leaves without converting, but returns later to convert during a subsequent visit. The higher these numbers, the more important the assist role of the social network. 

Last Interaction Conversions and Last Interaction Conversion Value: This is the number (and monetary value) of last click sales and conversions. When someone visits your site and converts, the visit is considered a last click. The higher these numbers, the more important the social network’s role in driving completion of sales and conversions. 

Assisted/Last Interaction Conversions: This ratio summarizes the social network’s overall role. A value close to 0 indicates that the social network functioned primarily in a last click capacity. A value close to 1 indicates that the social network functioned equally in an assist and a last click capacity. The more this value exceeds 1, the more the social network functioned in an assist capacity.

Actionable Tip: use this report to understand where in the buying cycle is your Social Media traffic. This may help you understand which kind of offers will be most effective on Social Networks.

Google+ Social Plugin - On-site Interactions

The Social Plugins report provides an account of the social actions that happened inside the website and in which pages they occur. +1 buttons spread in the website content will be available in this report automagically (for other social buttons, coding is required). 

Actionable Tip: use this report to understand which content is being +1'ed in-site. This will help you optimize the position of +1 buttons to increase exposure through Google+.

Google+ Visitors Flow

This report uses the same functionality used in the flow visualization report released by Google in 2011. Basically, it provides the path through which visitors experienced the website. In this report we will be able to segment just by visits originating from Google+. You can find the report at http://onbe.co/GXYQMN  

Actionable Tip: use this report to understand how well optimized your site is for social traffic. If you find a page that is receiving large amounts of social traffic and is not persuading visitors to click-through (i.e. high drop rate), you might consider testing that page.

Concluding Thoughts

As seen above, Google Analytics has created robust tracking and analysis abilities for Google+, which puts Google+ in an excellent position when it comes to other Social Networks. In general, many other social sites don’t provide detailed metrics into what happens inside their walls, which makes investments less measurable. If marketers can easily measure how well each social networks perform, more resources might be devoted to them.

Posted by Daniel Waisberg, Conversion Journey

Please join us next Thursday for a webinar on marketing attribution featuring Bill Kee, our Product Manager for Attribution, and Stefan Tornquist, VP for Research at Econsultancy.

Stefan will talk about insights from the recent Attribution whitepaper by Econsultancy and Google Analytics, and Bill will discuss Google’s approach to attribution and some of the tools we offer, including Search Funnels in AdWords and Multi-Channel Funnels in Google Analytics. Plus, he’ll demo the Attribution Modeling Tool in Google Analytics Premium.

We'll also provide a few tips for how to get started with attribution. This webinar will be the first in a series on attribution -- so please stay tuned for future installments!

Date: Thursday, April 26
Time: 10:00am PT / 1:00pm ET
Click here to register

We hope you’ll be able to join the live webinar, but for those who can’t make it, we’ll be sharing a recording after the event.

Posted by Sara Jablon Moked, Product Marketing Manager, Conversion and Attribution

At Google, we are passionate about speed and making the web faster, and from first hand experience, we are glad to see that many website owners share the same goal. A faster web is better for both users and businesses - faster pages lead to better user experience and improved conversions.

The first step in optimizing any process is to establish and obtain an accurate set of measurement data. In the context of optimizing the user experience on the web, it means that we need to measure the speed of a page as seen by your real users: users network, device type and speed, geographic location, cache sizes, and a dozen other factors all come into play. 

Luckily, the Site Speed reports in Google Analytics provide most of this data to us already. The new Web Timing standard, which is already implemented by most modern browsers, allows Google Analytics to gather detailed latency data for a sample of requests across a dozen different dimensions. To see this data for your site, navigate to your Google Analytics account and look for the new “Site Speed” reports under the “Content” section - there is no additional instrumentation required on your behalf. This article describes the details about the speed metrics.

A frequently asked question we hear is: how do I know if my site is fast enough? The answer, of course, depends on the nature of the site, the content, and the type of interactions your users perform on the site. However, to help us establish a baseline, let us take a look at some aggregate speed data for the web as seen by Google Analytics and shared by opted-in web publishers:

Mobile internet is growing at an incredible rate and as we can see from the data above, mobile experience is about 1.5x slower than desktop experience. That’s a very big difference, and that is even taking into account that many popular sites are already optimizing for the mobile visitor: fewer resources, smaller resources, and smarter caching strategies.

Let’s take a closer look at web performance for a few specific countries:

The following interactive world map presents the page load times for desktop in seconds for the complete list of countries with enough samples for accurate measurement:


The following map presents the corresponding data for mobile.


Note that there are many factors that play a role in overall speed of web pages as experienced by users. The browser, the network connection, the client hardware (processing power), the content of the web page, and the hosting location of the web site relative to the user all impact the speed of an individual page load. As a result, the country aggregates listed above depend on all those factors as well.

Finally, let’s take a look at relative page speeds across some of the popular verticals:


 
How does your site stack up?

Posted by  Arvind Jain, Mustafa M. Tikir and Ilya Grigorik, Google Analytics team