3 Key Google Analytics Features In-House Practitioners Should Be Using

Working as a practitioner in house at a technology company, one of my jobs is to teach my team members how to fish with Google Analytics. What should they be looking for in GA? Where do they start? What is meaningful? Are the campaigns being measured? Are the microsites tagged? These are the types of questions I get everyday, and very likely, you do too. 

I've narrowed down my tips to 3 key things I try to get people comfortable with first (bite sized bits to get them hooked). 

1. Event Tracking

Most of the things that people are interested in are actions on a page. Did a visitor click on button X? Did they complete form Y? Watch video Z? These are all questions we can answer with event tracking. 

Because event tracking in Google Analytics is a blank slate in terms of setup and use, there is no one right answer for how to set it up and use. Given that most of my account was setup before I arrived in this position, I too have had to get used to a new architecture. The way I do this, and the way I explain it to my colleagues, is by investigating the event hierarchy. What are the categories, actions, and labels? How is data organized into these three tiers? 

While there is no one 'best way' of organizing an event tagging hierarchy, and while it will vary site to site, I like to set mine up like this:

• Category: location of event (Homepage, About Us page, Resources page, etc)
• Action: action the user took (Video, Whitepaper download, Start Trial, etc)
• Label: specifics about action (Video name, Whitepaper name, detail of linked clicked if there are multiple with same action (ex. Learn more - product A, learn more - product B, etc) 

2. Advanced Segments

Advanced segments are a great way to filter data to be more specific to the question you are trying to ask. For example, you can create a segment for a region (North America = US + Canada), or you can create a segment for a set of pages (meaning visit applies to homepage and/or about us page). To evangelize and teach this, I've created a Google doc that I've shared with my team with step by step instructions and links to some pre-built regional segments. 

As an account admin, it's great to share out globally the segments you make that may apply to multiple consumers. And you can easily share links to segments for users to apply to their own account.

Regional Segment example:

3. Shortcuts

Normally when an internal user asks for GA training and/or help pulling a report, it's for something they plan to look at on more than one occasion. Depending on how complex the report is, it may be useful to create a shortcut.

Ex. Your account has 5000 uniques pages tracked in the pages report. You are interested in 4 pages that all share the same sub-domain (they may be steps in flow - example:www.myshoppingsite.com/women, www.myshoppingsite.com/accessories,www.myshoppingsite.com/handbags, www.myshoppingsite.com/gucci). 

You can filter the pages report (using advanced filters) to show only these 4 pages. Then you want to know how many visits to those pages had a checkout, so you apply a checkout segment onto the report. Then you also want to define that group one more step by only looking at North America traffic, so you apply a second advanced segment for North America. Then, just for kicks (or analysis) you want to know what the landing page was for this subset of purchasers, so you apply a secondary dimension for landing page. 

Now that's a fairly complicated report that took several steps to build. Your may not want to go through all those steps the next time you need this report (nor as an admin/power user do you want to have to show them again), so you can create a shortcut for this report. The shortcut link is a new beta feature located on the top nav bar that allows you to save a report as is and provides a shortcut link on the left hand nav to get back to it quickly. Pretty handy.

As an admin or power user: Once your users have these three functions handled they will a) be able to pull a lot of their own data, freeing up your time, and b) feel more confident and excited about using Google Analytics to make data driven decisions. Win-win.

Posted by Krista Seiden, Product Marketing Manager, Google Enterprise

4 Improvements To Google Analytics Real-Time Reports

Real-time reports provide useful insights for businesses that help them understand how their systems are reacting, instantly, such as when you send out an email campaign or engage in marketing that has a temporal nature. It provides alerting / intelligence, giving insight into things that are new or different such as a sudden increase in site traffic. Real-time also lets you win social by capitalizing on trending topics. For example, if you noticed a blog post you published previously is suddenly gaining attention due to something happening in the news, you could highlight it on the front page of your site to draw additional attention and ‘pour fuel’ on the social fire. 

Today, we're announcing 4 improvements to real-time reports. You can now:

1. Analyze Events in real-time
2. Breakdown real-time by Desktop/Tablet/Mobile traffic
3. Create shortcuts to your favorite real-time segments
4. Compare real-time filtered data against overall real-time data

Let’s go through the changes in more detail:

1. Realtime Events Report

With the real-time events report, you can now not only see the top events as they occur but also filter on particular event categories (and actions). Additionally, you can see whether particular segments of visitors trigger different events and debug your events deployment in real time.

To access this report, navigate to the real-time section of Google Analytics and click on the Events section. You should see a report similar to this:

Clicking on any of the Event Category will drill down and show all the Event Actions and Event Labels for that particular category.

If you are trying to see what events a particular segment of visitors generate, that is easy as well. Any filters you set up in any part of real-time are preserved in the Events report. For example, in the above screengrab we have set up a filter here to see what events are triggered from visitors coming via organic search.

2. Content Breakdown by Desktop/Tablet/Mobile

We live in an increasingly multi-screen world, and now you can see in real-time the type of device that visitors are using to visit your web site (desktop, tablet and mobile). This is available in the content report as shown below:

As with real-time reports, you can easily see your visitors filtered by the device type (by clicking on either of “Desktop” “Tablet” “Mobile”).

3. Shortcuts for your important real-time segments

We’ve heard from users that you like to look at certain segments of visitors in real-time, but dislike setting up the filters each time. Now, you can use the “Create Shortcut” feature to store your favorite segments. 

Now all you need to do is open up Shortcuts from the left navigation menu and click to any of your shortcuts.

4. Comparison real-time to overall data

Finally, you can compare the pageviews of your segmented visitors to overall traffic as shown below. This is nifty if you want to see quick comparison trends. For example, many times, after a G+ post, I create a filter by device type of “Mobile” and can see that the mobile traffic picks up much faster and also contributes more to the initial increase in pageviews.

Stay tuned for continued improvements to real-time, a growing area of importance for your digital marketing.

Posted by the Google Analytics Real-Time team

Updating Export And Send Features To Support Your Legacy Technology

We believe you should be able to access your Google Analytics data from wherever, whenever. And while yes, it’s pretty convenient to be able to export data to Google Spreadsheets or send a report to an email recipient with a few simple clicks, we recognize there are other ways people like to be able to share their data as well. That’s why we’ve re-imagined our Export and ‘Send To’ options to give you even more options and support some of our favorite legacy technology.

Over the next few weeks, we’ll be rolling out a new set of old school export and send-to options that aren’t just useful, they’re fun. So flex those creative muscles and think of all the ways you might use these to do your job better:

Updated export options - moving beyond web:

CDROM: not only can you soon export to CDROM, we’ll automatically label the CDs for you to avoid the dreaded stack of unlabeled CDs that plagued users in the past. Bonus: insert your CDs into your car CD or portable CD player and we’ll play either upbeat or melancholy sounds, depending on if your reports are trending the right direction.

3.5 Floppy: have you ever wanted to access your reports on your old IIGS, 486 or similar? Yes it takes us back to those joyful memories of coding forever, hitting execute and watching with glee as it drew a blue star in 30 seconds. Take your data easily to them (or share with a friend) via a colorful 3.5 floppy. Now you can work on reports while you also play classics like The Oregon Trail or Odell Lake.   

Sticky note: ever just wanted to share one quick dashboard with your boss that shows how yourconversions are trending “up and to the right,” but you just can’t get them to read your email? We hear you. Export just one graph to a bright fluorescent sticky note and put it right on their desk where they can’t ignore it. You’ll soon be the most talked about marketer at the water cooler. 

Papyrus: papyrus, the thick paper-like material produced from the pith of the papyrus plant is back. First manufactured in Egypt as far back as the third millennium BC, it is actually still used by communities living in the vicinity of swamps. We’ve heard the requests loud and clear: papyrus report exports would be an exciting option that would provide a “wow” factor at your next presentation and make your data more tangible. Just be sure you keep them in a dry climate where it is most stable. Next time your HIPPO questions the data break out the Papyrus and Abacus and prove them wrong!

Updated 'send to' section - beyond email:

Fax Machine: have a client or executive who prefers to receive faxes? No problem. You can now export reports, in full color, directly to the fax machine of your choice along with a branded cover page.

Electronic Telegraph: have a friend still obsessed with 1800’s business culture? Put on a monocle, your classiest suit and get ready to send a telegraph with an encoded message of the data of your choosing. For those super important “your eyes only” reports we also support encrypted morse code options as well. Note, the cost of sending 10 words (approximately 45 characters) is $1.55 (per the going rate of the 1850’s) so choose the data you send wisely. 

Carrier Pigeon: pigeons aren’t just used to sort our web index any longer. We’ve trained a select set of our trusty PigeonRank™ pigeons to fly your reports to their intended recipient. Note there is a weight limit associated with this option, so only choose rows 1-25 of data are selected at most or your pigeons may not be able to take off.  

Telegram Messenger: sometimes, it’s necessary to send a physical person to deliver your reports. The send via telegram option will dispatch a telegram messenger on a Google bike to share a physical printout of the reports of your choosing. A future iteration of this option will include telegram messengers dressed up as characters who can deliver “hug-o-gram” reports to cheer people up.

We hope you enjoy these new options and share your data in even more places! 

Analytics Pros Best Practices Conference: May 2, San Francisco

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

Join us on May 2nd in San Francisco to learn about the best practices for Google Analytics. At this interactive conference you will be engaged, learn strategy for Google Analytics and be trained in using and optimizing the tool.

We think about our conference like this:

 Looks like useful fun, right?  We promise it will be well worth your time.  

A side note, just in case you were wondering: my prior conference, GAUGE (now “retired”) was an initiative to bring together users across the Google Analytics community to learn from each other. The BEST Practices conference series builds on this legacy and delivers hands on tutorials and interactive sessions.

Look forward to hear from thought leaders in the Google Analytics space, including Google’s Jesse Nichols, Andrew Wales and Ian Myszenski.  We are excited to have Dan Siroker from  Optimizely and I will weigh in with my latest finds and processes as well.  We will talk and work with you onUniversal Analytics, Multi-Channel Funnels, Attribution Modeling and more tips and tricks that we apply to our use of GA. 

Our San Francisco conference includes:

• An after-party event hosted by the Google Analytics Premium team at the San Francisco Google office
• Hands-on sessions and workshops led by top GA experts
• Interactive “Table Topics” lunch session, including teaching and roundtable discussion on Universal Analytics, Google Tag Manager, Mobile Strategy and more
• Opportunities to interact with digital analytics peers and experts
• Insights into the Google Analytics strategies of leading companies
• An amazing conference venue that allows for big-picture thinking, the Jewish Contemporary Museum

Join us in San Francisco on May 2nd for our Spring event.  Use discount code BESTAnalyticsBlogfor a 20% discount off the Conference Pass. We also offer a 50% discount for government, non-profit employees and full-time students.

And don’t forget to check out other BEST Practices conferences as we storm the country. We’re headed to Boston on October 3rd and back to the Pacific Northwest in Seattle on November 14th - 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. As a bonus, this video should provide a good introduction to our event if you've never been to one in the past:

Learn from Google at #SESNY 2013

SES New York (#SESNY) is coming up next week, and just like last year, we hope you’ll join us again in the Big Apple.

During day 1 of SES New York, we’ll be on the expo floor with a custom-built Google classroom as well as part of the main conference sessions. Join us where you’ll learn about the newest need-to-know tools, features, and solutions from Google Analytics, AdWords, Mobile, GDN and DoubleClick Search to help you win in a constantly connected world. Following is a listing of our sessions to help you plan your SES experience. 

Google Solutions for a Constantalny Connected World

Day 1 - Tuesday, March 26th all day in the Expo Hall

10:30-11:30am: Reaching customers whenever, wherever, across any device. Surojit Chatterjee, Lead Product Manager for Enhanced Campaigns

11:45-12:45pm: Understanding the Full Value of Mobile. Brendon Kraham, Director, Global Mobile Solutions

2:00-3:00pm: Engaging with your audience in a multi-screen world. 

3:30-4:30pm: Using DoubleClick Search to manage campaigns across channels and devices. Anthony Chavez, Product Manager for DoubleClick Search

Don’t have a pass yet? Don’t worry. Expo Only passes are free and get you access to our Google classroom. You can also use the code NYGOOGLE which is redeemable for up to $700.00 off a full conference pass.

For attendees of the main conference, Google Analytics team members will be participating in the following sessions:

Landing Page Optimization

Day 1: Tuesday, March 26 from 11:45-12:45pm

Are your search landing pages working hard or hardly working? Landing pages can be the hardest-working part of your search campaigns, or they can kill your lead generation and sales conversion rates. Testing insignificant details such as button colour and headline size won't lead to real lift in your conversion rates. This session will show you what to test, how to analyse your landing pages, and how to get significant revenue lift quickly.

Moderator:

Andrew Goodman, SES Advisory Board; President, Page Zero Media

Speakers:

Justin Cutroni, Analytics Advocate, Google

Angie Schottmuller, Director of Interactive Strategic Planning & Optimization, Three Deep Marketing

The Dawn of Convergence Analytics

Day 1: Tuesday, March 26 from 3:30-4:30pm

The combination of "big data," access to cloud computing, powerful algorithms, and unprecedented visualization capabilities has created an emerging new class of analytics tools for the marketer. It's being called "Convergence Analytics". It's the marketing equivalent of "one ring to rule them all." Though still in its infancy as a discipline, there are many vendors in the market, and their goal is to pull together data sources from multiple touch points from the web and beyond. They're also using advanced data gathering and data regularization strategies to create a correlative dashboard-like experience for the marketer.

Moderator

Adam Singer, Product Marketing Manager, Google Analytics

Speakers:

Andrew Edwards, Managing Partner, Efectyv Marketing

Rand Schulman, Managing Partner, Efectyv Marketing

We hope to see you out at the event, you can find out more details on the conference site. 

Can’t make it to NY? Be sure and follow Google Analytics on Twitter and Google+ for real-time updates on sessions throughout the day sharing interesting bits from the conference.

Are you a Datavore? Insights on the use of online customer data in decision-making

The following is a guest post contributed by Hasan Bakhshi and Juan Mateos-Garcia who work at Nesta, an independent charity based in London. Nesta’s mission is to help people and organizations bring great ideas to life by providing investments and grants, and mobilizing research, networks and skills.

We surveyed 500 of the UK's companies that were actively online and promoting their products. We asked about the collection, analysis and use of online customer data in their decision-making, and the impact this has on their bottom line. Our research suggests that a startlingly high number of businesses in the UK's Internet Economy would benefit from reading Michael Loban's post on data resolutions for 2013. Here, we revisit some of his insights backed up by our data to illustrate how big the online data gap is for many UK companies, and what they must do to bridge it.

Insight 1: 'Address your data phobia'. 
We identified a cohort of companies in our sample with apparently no fear of data. We call them 'datavores'. When making decisions about how to grow their sales, they rely on data and analysis over experience and intuition. They collect data comprehensively, analyze it thoroughly and use it to make decisions. But they are in the minority: only 18% of the companies we surveyed compared with 43% who make decisions on the basis of experience and intuition. These ‘gut-driven’ companies would stand to reap significant commercial benefits from their online data if they could get over their data phobia. We find that datavores are four times more likely to report substantial benefits from their online customer data.

Insight 2: Get on with social network marketing. 
Only 40% of businesses in our sample report that online data is important for designing and evaluating their social media strategy. Lacking the right data to make decisions, perhaps we shouldn’t therefore be surprised to learn that more than half of the businesses we surveyed were hesitant to dip their toes in social network marketing, despite the fact that nearly 1/2 of the UK population* uses social media actively. (* cited from UK Office for Communications)

Insight 3: Tools are great, but great analysts are awesome. 
Our survey suggests that fully harnessing the potential of online data requires up-skilling the workforce. Over three-quarters of businesses who have trained their staff to improve their data capabilities in the past two years report significant benefits from online data (compared with only 20% of those who haven’t provided training). Another of our findings leads us to add a coda to Michael’s resolution, however - while it is true that great analysts are awesome, it appears that great analysts who are empowered to act on the basis of their insights are even better. Datavores are much more likely to delegate decision-making than other firms. The implication is that making most of your data is not always painless. It may require re-organizing the business, changing its culture and rethinking the role of managers. 'No pain, no gain', as they say about most New Year's Resolutions.

Insight 4: ACTION!
This brings us neatly to perhaps our most important finding: in order to benefit from online data UK businesses need to put their data to work. They need to use it to improve their website to be sure, but they also need to feed it into decision-making process in other parts of their business – such as in product development and business strategy. In fact, the ‘use of data to make decisions’ turns out to be the main factor discriminating between the datavores and the other companies we surveyed. And that, controlling for other relevant business characteristics, ‘using data’ is what really makes a difference on the impact of data on performance. To put it in stark terms, if you don’t use your data, you may as well not have collected and analyzed it.

We present the findings above (and many more) in greater detail in our Rise of the Datavores report. This is the first milestone in our program of research and action looking at the potential of online data for innovation and growth.

In the coming months, we will be matching our survey responses to financial data to measure in quantitative terms the connection between data-driven decision-making and sales growth, profitability and productivity. To get a really robust handle on the direction of causality in this relationship we are looking to run a controlled experiment to measure the impact of an Online Analytics intervention on a randomly selected group of UK businesses. In related research we plan to quantify the extent of business demand for data-savvy talent and assess the adequacy of the UK's education system in supplying it.

Last, but not least, we will be looking through practical work to identify datavores in the public and third sectors, and work to encourage the transfer of good data practices across different parts of the UK’s economy and society.

In all these areas we will be looking for data experts to work with, to probe whether we are asking the right questions, to refine and help implement our research plans. Drop us a line if you want to hear more, Google will give you more information about this topic.

hasan.bakhshi@nesta.org.uk
juan.mateos-garcia@nesta.org.uk

Understand Updates To Your Account With Change History

Have you ever wanted to learn more about changes made to your Google Analytics account, wanted to refresh your memory as to when a particular profile setting was changed, or wondered who on the team made a goal change? Now, all of that is possible with the launch of Change History.

What it does

Change History presents a summary of many important changes to your account over the last 180 days. Users will find records of changes made to users, accounts, properties, profiles, goals, and filters. This feature is available only to Analytics account administrators.

How to find it

We are rolling out Change History to our customers over the coming weeks. Once it’s enabled on your account, you’ll be able to see it by clicking the “Admin” button in the upper right corner of the Analytics interface, selecting the appropriate account, and clicking the tab labeled “Change History.” In this new section, you will see a list of changes on your account, when the change took place, and who made the change.

Conclusion

The new Change History helps you better understand how your accounts evolve over time, improves account collaboration, and provides an additional tool for optimal configuration.

Be sure and view our help center article for additional information. 

5 Things You Should Be Doing With Google Mobile App Analytics Crash & Exception Measurement

When an app crashes, it disrupts the user experience, may cause data loss, and worst of all, might even cause users to uninstall the app altogether. As developers, we do our best to minimize crashes, but no app is ever perfectly stable.

A crash can actually represent a great opportunity to improve an app and one of the best things we can do as developers is to measure our crashes and exceptions.

The crashes and exceptions report in Google Mobile App Analytics.

Measuring crashes in your app can help you make better a product, make more money (if that’s your thing), and use your development resources more efficiently (especially if you are the only developer).

Google Mobile App Analytics offers easy-to-implement automated crash and exception measurement for Android and iOS as part of the V2 SDKs, as well as a host of reporting options to slice the data in context with all of the user engagement, goal completion, and in-app payments data you already know and love.

To help new developers get started, and to give existing developers some pointers, here are four things app developers should be doing today with Google Analytics crash and exception measurement:

1. Automate your crash measurement.

Want to measure app crashes but don’t want to deal with a complicated implementation? Fully automated crash measurement with Google Mobile App Analytics takes just one line of code to implement for Android or iOS:

<!-- Enable automatic crash measurement (Android) -->

<bool name=”ga_reportUncaughtExceptions”>true</bool>

// Enable automatic crash measurement (iOS).

[GAI sharedInstance].trackUncaughtExceptions = YES;

Implement automated crash measurement with just one line of code on Android or iOS.

Now each time your app crashes, the crash will be measured and sent to Google Analytics automatically. Try automated crash measurement now for Android or iOS.

2. Find out how stability is trending.

Are new releases increasing or reducing app crashes? Monitor the stability of your app from version to version by looking at crashes and exceptions by app version in the Crashes & Exceptions report.

If you are measuring the same app on two different platforms, like Android or iOS, you can break this view down further by selecting Platform as the secondary dimension.

View crashes and exceptions by app version number in the Crashes & Exceptions report. In this example, version 1.1.7 has crashed 7,285 times, while the latest version 2.0.0 has only crashed 91 times in the same period. Nice work dev team!

To graph crashes for two or more versions over time, you can create advanced segments for each version number, and apply them both to the Crashes and Exceptions report.

See crashes by app version over time using advanced segments and the crash and exception report  In this example, a bug fix pushed around January 24 caused significant reduction in crashes across both versions, but crashes persist for v1.1.7 that might warrant some additional investigation.

3.  Find out what crashes are costing you.

Do you know what app crashes are costing you? Find out what crashes cost in terms of both user engagement and dollars by using a custom segment.

By using a particular crash or exception as a custom segment, you can see how user engagement and in-app revenue may be impacted by a particular issue or set of issues.

Use custom segments to segment user experience and outcome data by crashes. This gives you some idea of what they might be costing you in users and in dollars.

To set this up, you’ll want to create two custom segments: one that contains all the sessions in which the exception(s) occurred, and another baseline segment that contains all other sessions unaffected by the exception(s).

Learn how to create advanced segments.

Once created, try applying both segments to your Goals or Ecommerce Overview reports to get a sense of how the exception(s) might affect user outcomes. Or, apply the segments to your Engagement overview report to see how the exception(s) might impact user engagement metrics.

4.  Gain visibility into crashes at the device model level.

Do you know which device models are the most and least stable for your app? Developers can’t always test their app on all devices before launch. However, by using Custom Reports in Google Mobile App Analytics, you can monitor crashes and exception per device to find out where additional testing and bug fixes may be needed.

To see crashes and exceptions by device, create a custom report and use a dimension like Mobile Device Marketing Name, with Crashes and Exceptions as the metric.

Learn how to create a custom report.

See crashes by device by using a custom report. To get even more detail, add the Exception Description dimension as a secondary dimension. In this example, the high level view shows the Galaxy Note and Desire HD as device that might need additional testing before the next launch.

5.  (Advanced) What about caught exceptions? You should measure those too.

While caught exceptions won’t crash your app, they still may be valuable events to measure, especially when they might have an impact on user experience and outcomes.

For instance, if your app normally catches a server timeout exception when requesting user data, it might be useful to measure that caught exception to know how often a user’s request is not being fulfilled.

A caught exception is measured in Google Analytics using a custom description. In this example, a number of failed connections may indicate a backend problem and could be causing a poor user experience. Reducing the number of these caught exceptions could be a goal for the dev team in the next release.

Get started measuring caught exceptions on Android or iOS.

As always, please keep in mind that you should never send personally identifiable data (PII) to Google Analytics. Raw exception descriptions may contain PII and we don’t recommend sending them to Google Analytics for that reason. 

Also note that there’s a 100 character limit on exception descriptions, so if you send your own descriptions, be sure to keep them concise.

Lastly, here are some links to resources you might find helpful when implementing crash and exception measurement in your app:

Developer Guide: Measuring Crashes & Exceptions (Android)

Developer Guide: Measuring Crashes & Exceptions (iOS)

And for brand new users:

Getting Started: Google Mobile App Analytics (Android)

Getting Started: Google Mobile App Analytics (iOS)

Learn About the 7 Factors of Bid Optimization

At DoubleClick Search we know that search marketing has expanded dramatically in scale and complexity over the years, and today, large search campaigns may be difficult to manage using manual methods alone. As such, marketers are relying more and more on automated bid optimization platforms to run larger campaigns -- enabling them to scale up and streamline their operations at the same time.

In a recent blog post series on the DoubleClick Blog, we explored key factors to consider when evaluating a search bid optimization platform, including flexible expression of goals, fresh data, smart algorithms, fast operations, regular software updates, sufficient controls, and dedicated, consultative services. As a wrap up to our bid optimization series, we want to recap the importance of these factors with an infographic:

Click here to view the full infographic

Using the 7 factors as a guideline, you can choose the platform that’s best for your business, to help you save time, get the best results, and make better decisions in your digital marketing efforts.  

Stay tuned to the DoubleClick Search blog to learn more about enhancements, updates, and launches around the Performance Bidding Suite. To learn more about the 7 factors to consider when choosing a bid optimization tool, download our white paper here.

Google Analytics Premium expands to Japan

Good news, or 良いニュース as they say in Japanese. We’re excited to announce thatGoogle Analytics Premium is now available in Japan.

 

Google Analytics Premium offers all the power and ease you expect from the standard version of Google Analytics plus extras that make it great for large businesses. With more processing strength for granular insights, a dedicated services and support team, service guarantees and up to 1 billion hits per month, all for one flat fee. It provides access to more data, flexibility, and 24/7 support to help power the analytics of world-class brands including Travelocity, Gilt, TransUnion, Zillow, Papa Johns, & IGN. 

Over the last year we’ve launched Google Analytics Premium in the US, UK, & Canada and our customers have been doing some really cool stuff, for example:

• Glit was able to gain a more holistic view of their customers by using the increased number of custom variables to power their predictive modeling 

• They found that access to unsampled data helped them to remove uncertainty and enabled them to act on test and campaign results with confidence

• Travelocity was able to provided greater access to data across their company, enabling agile, data driven decision making 

For more details check out the full case studies from Gilt and Travelocity.

We’re excited to learn how the data driven marketers in Japan will use Google Analytics Premium to find insights that help them to grow their businesses online.

Partner network provides expert support & customizable service 
We’re also pleased to have an international network of Google Analytics Authorized Resellers that have been quality checked to ensure they are best in class analytics consultants. They have highly trained analysis teams and can perform deep analysis projects to reveal valuable insights. Below is the select group of companies that we have partnered with in Japan:

          IMJ Ayudante
          e-Agency NRI Netcom
          Dentsu eMarketing One transcosmos
          Mitsue-Links

We plan to make Premium available to even more countries in 2013. If you would like to learn more about Google Analytics Premium and how it can help your business, contact the Google Analytics sales team or one of our Google Analytics Premium Authorized Resellers.

Posted by Clancy Childs, Google Analytics Premium Team