Friday, 30 August 2013

We want to share an exciting update to the earlier post about the new Analytics access controls. 

As we mentioned in that earlier post, we have built a more powerful access-control system to help you better manage who on your team can access what entities in your Analytics accounts. These access controls are now enabled on all Analytics accounts.

The feedback from our early users highlighted a clear need to let report viewers collaborate with teammates, and in response we created the new Collaborate permission that lets users not only create but also edit shared assets like dashboards and annotations.

Open the Admin page for your Analytics account, and click User Management.


You can see the new Collaborate permission listed along with the others.


Learn more about our new access-control system, and gain more precise control over your Analytics accounts.

Posted By Tim Thelin and Matt Matyas, Google Analytics Team

Monday, 26 August 2013

Not using AdSense yet?


In the last ten years, AdSense has helped over 2 million partners grow their businesses. Be sure to tune in on Wednesday September 11, at 11:00AM, when we’ll be hosting a special 10th Anniversary Hangout on Air  for prospective publishers. If you haven’t yet signed up for Google AdSense or would like to learn more, you should join us. We’ll demonstrate how AdSense helps you earn money from your website, allowing you focus on creating great content. Learn how AdSense: 
  • Earns you extra revenue 
  • Shows your users relevant and useful ads
  • Lets you control which ads show up on your site
  • Helps you understand what’s working and what’s not with robust reporting tools
Several publishers will also be joining us to share their AdSense experiences. Hear why they chose AdSense and how it’s helped them grow. 

Join this event page to live stream the Hangout on Air on September 11 from 11:00am - 12:00pm PDT.

Posted by Bola Akinsanya - AdSense Strategic Partnerships Team

Thursday, 22 August 2013

Ever wanted to learn more about Google Analytics APIs? Maybe even have someone talking to you about how to use them? Well, if you haven’t gotten a chance to tune in, we’re excited to present Google Analytics on Google Developers Live. Our Developer Relations team has been hard at work putting these together; we’ve done a few already, and also have some coming up that we’re excited about!

We'll be doing these a few times a month, on Thursdays at 10AM PDT (full schedule here). Each show is about a half hour.


The show will either take you “Behind the Code” or “Off the Charts.” Off the Charts is a series about getting into the deep features of Google Analytics, understanding how it works, things you can do with it and how to use the feature itself. “Behind the Code” will not only showcase new GA features and technology, but also take us behind the scenes and give you a chance to hear directly from some of the engineers, product managers, and others who work behind the scenes to design, build, and deliver these new features.


Here’s some of our favorites from the past:

Off the Charts: Google Analytics superProxy


Google Analytics superProxy is an open source project developed by the Google Analytics Developer Relations team. Join Developer Advocate Pete Frisella to learn how to use this application to publicly share your Google Analytics reporting data and power your own custom dashboards and widgets.

Behind the Code: Analytics Mobile SDK


The new Google Analytics Mobile SDK empowers Android and iOS developers to effectively collect user engagement data from their applications to measure active user counts, user geography, new feature adoption and many other useful metrics. Join Analytics Developer Program Engineer Andrew Wales and Analytics Software Engineer Jim Cotugno for an unprecedented look behind the code at the goals, design, and architecture of the new SDK to learn more about what it takes to build world-class technology.


Don’t forget to check out next week’s show (8/29, 10AM PDT) on the recently launched Metadata API, which contains all the dimensions and metrics that you can query with in Google Analytics Reporting APIs. We’ll be discussing how you can use this API to to simplify data discovery. Tune in here!


Posted by Aditi Rajaram, Google Analytics Developer Relations team

Wednesday, 21 August 2013

Google Analytics users can use the Core Reporting API to save time by building dashboards and automating complex reporting tasks. This API exposes over 250 data points (dimensions and metrics), and new data is added every few months. For many developers, it can be difficult to keep their applications up to date with all the latest data.

To make things easier, today we are launching the new Google Analytics Metadata API to simplify data discovery. The Metadata API contains all the queryable dimensions and metrics included in the Core Reporting API. We’ve also added attributes for each dimension and metric, such as the web or app name, full text description, grouping, metric calculations, deprecation status, and whether the data is queryable in segments. You can check out at a live Metadata API response here.

You now have programmatic access to generate the same list of dimensions and metrics we use to generate our public documentation.



You can now create this list using the Metadata API.

Saving Developers Time

When you create tools to query the Core Reporting API, you can use the Metadata API to automatically update your user interfaces. For example, Analytics Canvas, a popular 3rd party Google Analytics data extraction tool, uses the Metadata API to keep its query building interface up to date.



Analytics Canvas uses the Metadata API to power its query builder.

According to James Standen, founder of Analytics Canvas, "In the past, keeping Analytics Canvas up to date with the Google Analytics API dimensions and metrics required a lot of manual updating to our application. The new Metadata API automates this process, saving us time, and giving our users direct access to all the great new data the instant it's available. Users love it!"

New Deprecation Policy

To increase data transparency, we’ve also published a new data deprecation policy for dimensions and metrics. New data we release will be announced on our changelogs and automatically added to the Metadata API. Data we decide to remove will be marked as deprecated in the Metadata API, allowing developers to gracefully remove these values from their tools.

Get Started Today

Our goal was to make this API super easy to use. To get started, take a look at our list of resources below:

Questions? Comments? Simply want to share in the excitement? Join the analytics developer community in our Reporting API Developer forum.


Posted by Nick Mihailovski & Srinivasan Kannan, Google Analytics API team

Tuesday, 20 August 2013

We've long known that the power of digital marketing is in its measurability. But measurability is only half the battle.  The other half is attribution — understanding how to allocate credit to your various marketing programs and appropriately recognize their impact on the customer journey.

Over the past two years, we’ve built a strong foundation in attribution with Multi-Channel Funnels and the Attribution Model Comparison Tool in Google Analytics (as well as additional tools for AdWords and Google Display Network). Today, we’re expanding our attribution capabilities with Data-Driven Attribution in Google Analytics Premium, with algorithmic models and a new set of reports designed to take the guesswork out of attribution. It’s available globally to all Google Analytics Premium customers.


Data-Driven Attribution analyzes the customer journey, whether that journey ends in a purchase (or conversion) or not. Our modeling methodology, grounded in statistics and economic principles, automatically assigns values to your marketing touchpoints. You’ll see a more complete and actionable view of which digital channels and keywords are performing best, so you can achieve a better return on your marketing and advertising investments.

Recently, a large telecommunications company used Data-Driven Attribution to help optimize media spend and placements to help capture small business leads. After using Data-Driven Attribution, they gained newfound confidence in making decisions about Display. They saw leads from Display increased 10% while cost per lead remained flat, and saw that some media placements had been undervalued by 58%. 

Why use Data-Driven Attribution:
  • Algorithmic: The model automatically distributes credit across marketing channels. You define your own success metrics, like e-commerce transactions or other goals, and the model adapts and regularly refreshes using the most recent conversion path data.
  • Transparent: With our unique Model Explorer, you’ll have full insight into model behavior and understand how marketing touch points are valued — no “black box” methodology.
  • Actionable: Detailed insights into the individual contribution of a marketing channel (in both converting and non-converting paths) provide clear guidance, so you can make better data-driven marketing decisions
  • Support: Google Analytics Premium customers can take advantage of their relationship with a dedicated services and support team.
  • Cross-platform Integrations: In addition to our deep integrations with Google products such as AdWords, the Google Display Network, and YouTube, you can pull in data from virtually any digital channel.
Click image for full-size
Applying Data-Driven Attribution to improve your results:
Google Analytics Premium customers can use the Data-Driven Attribution model to select and analyze marketing techniques, such as Display advertising or email campaigns. Easy analysis tools in the attribution reports let you compare values from the Data-Driven Attribution model to your default model, then sort and filter your data to discover where campaign changes could have the greatest impact. After identifying which channels (or campaigns, or keywords) have the greatest potential, adjust your programs and test the results. Once you’ve learned how the Data-Driven Attribution model compares to your prior model (and viewed the Model Explorer to see how the data-driven values were calculated), you can go straight to the ROI Analysis report, which lets you focus on optimization insights.

How it works:
The Data-Driven Attribution model is enabled through comparing conversion path structures and the associated likelihood of conversion given a certain order of events. The difference in path structure, and the associated difference in conversion probability, are the foundation for the algorithm which computes the channel weights. The more impact the presence of a certain marketing channel has on the conversion probability, the higher the weight of this channel in the attribution model. The underlying probability model has been shown to predict conversion significantly better than a last-click methodology. Data-Driven Attribution seeks to best represent the actual behavior of customers in the real world, but is an estimate that should be validated as much as possible using controlled experimentation.

To learn more about Google Analytics Premium, contact your Google Account Manager, or visit google.com/analytics/premium.

Posted by Bill Kee, Product Manager for Attribution, and Jody Shapiro, Product Manager for Google Analytics Premium

Monday, 19 August 2013

Mobile Apps pose a unique set of challenges for marketers and developers. On the web, you can iterate on content and features in near-real-time and deploy conversion tracking, Remarketing, analytics and other tags to measure the effects on your users. Apps, on the other hand, are effectively frozen at the point of user install. Making even the slightest change means waiting until your next update makes its way through the various app stores and even then, you can’t be sure that all of your users will update quickly, if at all.

The surprisingly static nature of Mobile Apps creates significant problems. Forget to add an event to a key button press? Tough! Need to add conversion tracking for a last minute campaign? Too bad! Realize you need to change an important configuration setting? Sorry, not possible... that is, until now! Previewed at Google I/O earlier this year, today we're launching Google Tag Manager for Mobile Apps.



With Google Tag Manager for Mobile Apps, you instrument your app once and from then on, you can change configurations and add analytics, remarketing and conversion tracking later – without updating your app. 

Just like on the web, Google Tag Manager continues to be a free product, streamlining the process of adding “tags” to your native iOS and Android apps, making it both easy and accountable. Measuring key events is now as simple as 1-2-3:
  1. Include the new Google Analytics Services SDK (Android, iOS) in your app. This new unified SDK includes both Google Tag Manager and Google Analytics functionality while sharing a common framework.
  2. Push interesting and important events to the Data Layer. Once events are registered on the data layer, they can be used to trigger Google Tag Manager Tags and Macros. 
  3. Use Google Tag Manager’s web-based interface to write Rules and determine when various Tags should fire.

If you’re already a Google Tag Manager user, then there’s really nothing new for you to learn. The same style Tag Templates, Rules and Macros that you already know are now available for the new Mobile App Container Type. New users can get up to speed quickly, thanks to the easy-to-use web-based interface.  

Google Tag Manager for Mobile Apps natively supports AdWords Conversion Tracking, AdWords Remarketing and Google Analytics for Mobile Apps (Universal Analytics) tags. It also supports custom and 3rd party tracking events using the custom tag. For Mobile Apps, Google Tag Manager also takes things one step further using the Value Collection Macro. As we previewed at I/O 2013, developers can now create server-side configurations and use them to build highly configurable Apps. Collectively, these new features make Google Tag Manager a powerful tool for marketers and App Developers alike.  

Sign-up for your free Google Tag Manager account now and learn more about Mobile App tagging.  

Posted by Russell Ketchum, Product Manager, Google Analytics & Google Tag Manager

Wednesday, 14 August 2013

The following is a guest post contributed by Caleb Whitmore, founder of GACP Analytics Pros and the BEST Practices Conference, Google Analytics enthusiast and aspiring mountaineer.

BEST Practices: Google Analytics Conference
Boston, September 19
Seattle, November 14



As a digital analytics firm, we obviously love the constant connectedness of social media, mobile devices and the web. But we are also the first to admit that the never-ending noise leaves little room for the brilliance that come from letting your mind wander.

BEST Practices for Google Analytics is designed to give you the best of both worlds. 

We combine strategic inspiration, practical instruction and a wide-open location to create a Google Analytics conference like no other. In six short weeks, BEST Practices will land in Boston and we invite you to join us.


Top 7.2 Reasons to Attend A BEST Practices for Google Analytics Conference this Fall:
  1. Networking: You will be surrounded by innovators in the digital analytics industry - previous attendees include Starbucks, Yelp, Priceline, GoPro and more. Talk to both experts and peers who are using analytics to creatively solve problems.
  2. Speakers: Our speakers are actively practicing what they preach every day. Members of my AP team will cover specific best practices, I will review some of the tricks I have learned from a decade in this business, Ian Myszenski from Wildfire will be showcasing the measurement of social media . . . and the list goes on.
  3. After-Party: Mix and mingle following the event. Past after-parties have provided a great place to keep the brainstorming and inspiration flowing as you chat with people from a wide variety of industries and backgrounds.
  4. Topics: Receive practical instruction on the latest Google Analytics features, including advanced segmentation, multi-channel funnels, attribution modeling, Google Tag Manager, Universal Analytics, social and more.
  5. Interaction: Hands-on interaction is key when learning to apply new knowledge. We will give you a chance to apply tricks directly to your profiles as you listen and chat about your challenges with like-minded people during lunch.
  6. Venue: The Boston BEST Practices conference will be at New England Aquarium and in Seattle at the Seattle Art Museum - venues specifically chosen because they give you open spaces to think creatively. We have intentionally scheduled space into the agenda to allow you to wander, enjoy and dream.
  7. Training: If you’re looking to make it official, the Google Analytics Individual Qualification test is an important milestone when building your GA resume. Our preparatory course is a full day of in-person training time following the conference, led by me.
 7.2.    Discount: And last, but definitely not least, we have a discount just for you! Use discount code BESTAnalyticsBlog for a 20% discount off the conference pass at either our Boston or Seattle conferences this fall.

And don’t forget to check out other BEST Practices conferences as we storm the country. We’re headed back to San Francisco in the spring of 2014 - don’t miss out!

To keep up to date on what’s coming, follow our team at @analyticspros and @BEST_con to hear about the latest speakers, locations and events.

We hope to see you in Boston and Seattle!

Posted by Caleb Whitmore, Google Analytics Certified Partner

Thursday, 8 August 2013

You may have seen our news about the launch of the Content Experiments API a few months ago, and we’re excited to share one of the ways it’s been used since the launch. SiteApps created an experiment to A/B test your website’s call to action using our Content Experiments API -- take a look at their post below to see how they did it!

Live A/B testing is arguably the most scientific strategy you can use for conversion rate optimization. Nothing better than identifying what really sells more than your actual users in the real environment. And probably the call-to-action (CTA) button – “Sign-Up“, “Buy Now” or “Learn More” – is one of the most important elements to test. Some websites earned millions with a simple button change:


There’s an app for that

We created the Button Optimizer app on SiteApps to allow any website to instantly test & optimize their call-to-action without any technical knowledge (and for free!). With three simple steps, you can increase your website’s conversion right now:
  1. Install SiteApps on your website (it’s free)
  2. Create a Content Experiment in Google Analytics
  3. Add the Button Optimizer app
Then you can see this sexy report in Google Analytics and see how a small change can really impact your bottom line:


Eating our own dog food

Take a look at this video on testing the siteapps.com homepage button in under 3 minutes:

This post was cross-posted from the SiteApps blog. For step-by-step instructions, click here.

Tuesday, 6 August 2013

For political campaigns large and small alike, time is of the essence when decisions need to be made. Having quick and easy access to actionable data was essential for President Obama’s data-driven re-election campaign in 2012.


“To keep our digital teams agile, we needed to make consistent and comprehensive reporting available to everyone on a near real-time basis,” says Nate Lubin, Director of Digital Marketing for Obama for America. “Throughout the campaign, Google Analytics helped us democratize our web data, and enabled all of our teams to make key decisions quickly.”

Winning big moments: responding to the debates in real time

The ability to do rapid, real-time optimization was especially important during the Presidential and Vice Presidential debates. Recent research shows that 64% of voters use the Internet to verify or “fact check” a claim made by a candidate, and the presidential debates were a prime opportunity for voters to research the issues being discussed in real time.

“We knew that we needed to speak to our supporters and persuadable voters who were researching online during the debates,” says Lubin. “While we could anticipate some of the issue-related search terms that we would need to target, we couldn’t be prepared for every possibility.” Real-Time reports in Google Analytics provided the campaign a window into voters’ questions and concerns, and allowed them to deliver answers directly from the campaign through search ads.

Real-Time reports in Google Analytics provide instant feedback on site and campaign performance

Using Real-Time reports, the campaign quickly saw which debate-related organic search terms brought the most viewers to the campaign website. They then designed and placed search ads on these terms on Google to direct users to facts about the President’s position on key issues.

For example, when Governor Mitt Romney used the term “binders full of women” during the second Presidential Debate, the campaign team began showing ads on the phrase that linked to a fact-sheet outlining the President’s views on women’s equality. “Real-Time proved that we had an immediate uptick in both traffic and engagement from users searching that term, which affirmed this as a key rapid response strategy,” says Lubin.

Supporting a culture of analysis, testing and optimization

Well before debate time, a culture of analytical rigor and the focus on continual improvement had already been established as an essential part of the Obama campaign team’s success. “Our campaign was effective because our teams had the discipline to relentlessly rely on data to assess performance, test changes and improve,” says Amelia Showalter, Director of Digital Analytics. 

The Digital Analytics group served as a center for driving analysis best practices across teams. Early on, they turned to Google Analytics to help the web, email, and ads teams understand what motivated new supporters to become more vocal advocates and regular donors over time. The team tested various secondary calls-to-action after a visitor’s initial signup or donation to encourage further involvement with the campaign. 

“We found it especially effective to follow an initial signup or donation with a secondary call-to-action to support the campaign in another way,” says Brian Wonch, Digital Analytics Associate. “The flexibility of Google Analytics Advanced Segments and Flow Visualization reports was valuable in guiding our testing efforts to choose the sequence of engagements that best resonated with our audience.”
Advanced segmentation in Google Analytics allows you to isolate and analyze subsets of your traffic.

Dozens of similar online experiments were happening with every web interaction, on every single day of the campaign. Whether it was testing various social sharing options, or testing which customized content to deliver to each supporter, the campaign depended on the measurement capabilities of Google Analytics and the deep integration of data systems across the organization to continuously drive performance improvement across the site.

Empowering decision-making when it mattered the most

The real crunch time for the campaign began in the final month, when it was time to activate supporters to get out and vote as early as possible. Early voting began on different dates for each state, and the campaign placed extra priority on outreach to certain swing states. To help voters easily find their state’s specific voter registration and polling location information, the Obama team developed an interactive, geo-targeted application, and drove users to it from all of their search, display, email and social channels.

Given the fast pace and complexity of the advertising campaigns they were running, the Digital Marketing team needed to use a reliable, consistent and centralized advertising and site reporting platform to collect and disseminate data on a daily basis. “Google Analytics stood out as a simple way to share understandable advertising and site performance data with an unlimited number of users for rapid decision-making,” says Lubin.

While every team member had direct access to the Google Analytics reports, the team’s reporting gurus also innovatively used the new Google Analytics API and Google Apps Script integration to automate, centralize and simplify reporting, provided an overview of all their marketing channels and geo-targeted efforts at a  glance. “This dashboard allowed us to spend less time collecting and cleaning data, and more time optimizing our ads to get supporters to the polls,” says Lubin.

Wonch adds, “As our Get Out the Vote operations launched, the Digital Analytics team needed to make sure that our voting lookup tools ran at as close to perfect efficiency as possible. The segmentation capabilities in Google Analytics helped us quickly identify any combinations of devices, traffic sources and geographic locations that were high priority, but had low rates of loading an accurate polling place.” These insights helped the team target their efforts to test and improve the technical performance of the voting lookup tools so that they could deliver the most accurate and up-to-date information to voters - right through the final moments of Election Day.

The Results

The results from Election Day speak for themselves: a resounding victory, with  nearly every battleground state falling into the President’s column. Numerous  publications, including Politico, the New York Times, and the Wall Street Journal,  have credited the campaigns’ Digital Marketing and Digital Analytics departments for providing much of the winning margin.

“Google Analytics was an essential tool that empowered our team to make informed decisions that influenced the course of our campaign strategy,” says Lubin. “Having the data to understand how supporters and swing voters were engaging online was instrumental for doing our part to get President Obama re-elected.

Check out the whole case study as a PDF here.

Posted by Christina Macholan and Evan Rowe, Google Analytics Team

Thursday, 1 August 2013

When we first launched Real Time Analytics 2.5 years ago we set out to enable marketers to take real-time action against their data. Manually taking action and being informed about the immediate performance of your site is fantastic, however it’s not realistic to sit at your computer 24/7 and take advantage of these insights. Also and perhaps more importantly, your reflexes can never be as fast as computers. So the next logical step has always been to programmatically take action using real-time analytics. Towards that end, we’re pleased to announce an invitation to join the beta for the Real Time Reporting API!
This means you can now make queries about your real-time data and use that information in whatever way you please. One of the immediate use cases is to manage the content on your webpage. For example, you can query the API for the top visited URLs to construct a top trending content widget with the number of active readers. A site can also use what I call the “web counter 2.0”, meaning to display the active visitor count in real-time. Seeing the number of visitors also viewing a piece of content has a number of subtle effects such as creating a sense of community and credibility. 

Additionally this metric can be shown on different conversion pages of a website to impart a sense of urgency and demonstrate demand for a given product. Twiddy, a family-owned vacation rental company, with the help of their consultant Joe Akinc, has been testing this and achieving great results. Not only did their revenue increase 18.6%, but the average order value increased 11.9% and the conversion rate increased 7.9%. See the Twiddy case study for the full story and the screenshot below for an example of how this looks visually on their search results page:


“Before Google Analytics, our site was based on the two principles of marketing: booze and guessing, It worked for Don Draper, but we weren’t that smooth. We could never figure out what was working or failing. GA was easy to install and easy to understand. Our learning curve accelerated immediately. We quickly started re-allocating resources to improve our guest experience. ” --Ross Twiddy

Other uses also include a custom executive dashboard to monitor key metrics for your business. Or check out this android app that our very own Clancy Childs built to display the number of active visitors on a pebble watch:


For developers the GA superProxy will also work well with the real-time API and Google Charts API (gviz). This enables you to publish a query that is available without authentication. This has advantages in that you can make the request client side so a widget can be written in javascript and added to a site (calling all 3rd party developers!). Additionally this acts as a cache effectively lifting your quota limits. Learn more about GA superProxy here.

We are releasing the real-time reporting API in a closed beta and there will not be an SLA enforced against the data. As such please be cognisant of this when creating anything that will be customer facing. And as always we are extremely excited to see all the creative ways that the data will be used. 

Sign up for the beta here and please feel free to send us your feedback and use cases. We will be whitelisting customers in the next couple weeks which will include further details including quota. Also be sure to check out our developer docs.

Happy Real Timing!
Posted by Linus Chou, Kasem Marifet & Ozan Hafizogullari on behalf of the Real Time Team