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The latest news, tips and resources straight from the Google Analytics team.



Updated: 2017-04-30T03:15:29.854-07:00

 



The New Google Analytics Home: Know Your Data

2017-04-19T09:37:55.923-07:00

We’ve been improving Google Analytics with the goal of making it even easier for anyone to gain the insights they need. Last year, we introduced a fully redesigned mobile app for better insights on the go (which has now been downloaded over a million times!). We then introduced automated insights in the mobile app. Most recently, we simplified our web UI. Today we're introducing additional enhancements designed to help you make better data-driven decisions based on a deeper understanding of your users. A New HomeThe first thing you'll notice when you sign into your account is that we've introduced a new landing page. The “Home” page in Google Analytics now offers an overview of key aspects of your business’ online presence. Here are a few highlights:You can see snippets from a curated set Google Analytics reports, including real time data, with simple and streamlined controls. Each snippet is preceded by a helpful question that frames the data, such as “When do your users visit?” or “Where do your users come from?”. Want to dig deeper? Hover on any data point for more details or drill into the relevant report with the provided link on each card. “Home” is automatically configured based on your setup: For example, if you have Goals or Ecommerce, you’ll see the page change accordingly. This is a new page in Google Analytics. Existing reports have not changed. The Audience Overview report, which used to be the default landing page, is still available: just open the “Audience” section in the side navigation and click on "Overview".Discover Looking for the latest enhancements to the basic Google Analytics experience? You'll find them in our new “Discover” page. As the name suggests, Discover offers products and experiences that you might find useful as you work with your Google Analytics account. These could be products like Google Optimize, tools like the Google Analytics mobile app, helpful features like Custom Alerts, or even useful educational materials from the Analytics Academy. Look for the new Discover link just next to the Admin link at the bottom of your left navigation.Both of these additions will be rolling out to all users over the next few weeks. We hope these new additions help make it easier for you to get the most out of Google Analytics. Posted by Ajay Nainani (@ajayn23), Product Manager, Google Analytics [...]



Introducing Marketing Mix Model Partners: Helping brands better understand the impact of their marketing

2017-04-06T11:14:27.629-07:00

The following was originally posted on the Google Agency Blog.CMOs and marketing executives use marketing mix models to understand how their marketing investments are driving sales and how to optimize their spend across multiple brands, channels, and regions. With rising investment in digital and mobile advertising, marketers want to be sure the models they use correctly value the impact of these channels.Today we’re excited to announce a program to help marketing mix model providers better incorporate Google media data into their services. The Marketing Mix Model Partners program is designed to ensure advertisers can accurately measure the ROI of their digital investments and confidently understand the digital drivers of ROI to improve returns year-over-year.The Marketing Mix Model Partners program offers:Data Access: Partners get access to accurate, granular campaign data across all relevant Google video, display, and search media in a standardized format. We’re also making the data easier to access by providing data from multiple properties, like Search and YouTube, in one centralized location. Expertise: Partners also get dedicated training, resources, and specialists to better understand Google advertising products and practices and incorporate digital data into their model methodologies. Actionability: We provide Google account and technical teams to help advise on results and strategies designed to understand the drivers of ROI and improve returns over time. Our partnersWe’re excited to be working with the initial participants in the program, Marketing Management Analytics, Neustar MarketShare, and Nielsen. Google customers can talk with their Google representatives about working with one of these partners on using Google data in their marketing mix model engagements.Here’s what our partners have to say about the program:“The ability to collect and analyze digital data at extremely granular levels enables both marketers and their advertising partners to more successfully measure, predict and action the most effective and profitable means of optimizing each digital channel to achieve their business objectives. We are excited that Google has taken such a proactive approach in working with MMA and analytic companies within the marketplace in providing such a high level of objectivity and transparency."— Patrick Cummings, CEO of Marketing Management Analytics “Today’s measurement solutions need to be connected, always on and incorporate the myriad of channels, as well as critical econometric externalities in order for marketers to truly get an accurate view of marketing’s impact. We are thrilled to be a Google launch partner as this signals our commitment to helping brands understand how their marketing investments are driving business results. Through this partnership our advanced analytics models will incorporate more accurate, granular data, giving marketers a more complete understanding of the effectiveness of their marketing and how best to optimize their spend to improve future outcomes.”— Julie Fleischer, Vice President, Product Marketing, Marketing Solutions, Neustar "As the marketing landscape rapidly evolves, it is critical to use the most robust data-streams in our Marketing Mix models to ensure the highest standard of insight quality. Working with Google, we will have better input and better consultative output so that our advertiser clients can best understand what is driving their performance today and make informed decisions for tomorrow.” ‒ Jason Tate, VP of Global Analytics at Nielsen As part of our commitment to providing the industry with trusted, transparent, and independent third-party metrics, we’ll be expanding the program over the coming months. If your company provides marketing mix model services and you’re interested in learning more about the partner program, please sign up here.Posted by Mallory Fetters, Product Manager, Marketing Mix Models [...]



This is not a test: Google Optimize now free — for everyone

2017-03-30T08:00:28.862-07:00

Businesses often have one big question for us: How can they better understand their website visitors and deliver more relevant, engaging experiences?To help businesses test and take action, last spring we launched our enterprise-class A/B testing and personalization product, Google Optimize 360. We saw great demand, so we made it more accessible with a free beta version last fall — and that response also exceeded our expectations, with over 250,000 users requesting an Optimize account.Today we're very excited to announce that both Optimize and Optimize 360 are now out of beta. And Optimize is now immediately available to everyone — for free. This is not a test: You can start using it today.Easy to implement A recent survey showed 45% of small and medium businesses don’t optimize their websites through A/B testing.1 The two most common reasons given were a "lack of employee resources" and "lack of knowledge to get started."If you're part of that 45%, Optimize is a great choice for you. Optimize has many of the same features as Optimize 360. It's just right for small and medium-sized businesses who need powerful testing, but don't have the budget or team resources for an enterprise-level solution. Optimize is easy for anyone to set up. Early users of Optimize have been happy with how easy it is to use. In fact, it's built right on top of Analytics, so if you're already an Analytics user you'll add just a single line of code to get Optimize up and running. With just a few clicks more, you can start using your Analytics data to design experiments and improve the online experience for your users.Easy to useWorried about having to hire someone to run A/B tests on your site, or frustrated about not knowing how to do it yourself? Don't be. The Optimize visual editor allows for WYSIWYG (what-you-see-is-what-you-get) editing so you can change just about anything on your site with a drag and a drop. And more advanced users will enjoy the ability to edit raw HTML or add JavaScript or CSS rules directly in the editor. Powerful targeting capabilities within Optimize allow you to serve the right experiences to just the right set of users. And you have flexible URL targeting capabilities to create simple or complex rules for the pages where you want your experiment to run. To find out if a targeting rule you've set will apply to a specific URL on your site, use the new Optimize URL tester. Just enter a URL and the tester will immediately tell you if that page is a match for your targeting rule.Easy to understandOptimize calculates results based on your existing Analytics metrics and objectives using advanced Bayesian methods, so the reporting shows you exactly what you need to know to make better and faster decisions. We’ve also upgraded the improvement overview (see image above) to help you quickly see how an experiment affects the metrics you care about most, whether that means purchases, pageviews, session lengths, or whatever else you’re tracking in Analytics.Easy to try Leading businesses are building a culture of growth that embraces the use of data and testing to improve the customer experience every day. We’re delighted to offer Optimize to everyone to help deliver better user experiences across the board.As of today, Optimize is available in over 180 countries. (A special note for our European users: We’ve added a new data processing amendment to the Google Optimize Terms of Service that you may review in the UI and accept if you wish.) And we're not done yet: Keep an eye out for more improvements and announcements in the future.What are you waiting for? Try it right now! Happy Optimizing! 1Google Surveys, "Website Optimization Challenges for SMBs," Base: 506 Small/Medium Business Owners and Managers, Google Surveys Audience Panel, U.S., March 2017 Posted by Rotimi Iziduh and Jon Mesh, Product Managers, Google Optimize [...]



Why Your Testing and Optimization Team Needs a Data Storyteller

2017-03-29T07:00:21.998-07:00

If a test happens on your website and nobody hears about it, does it make a sound?Not to get too philosophical, but that's one of the big challenges of building a culture of growth and optimization: getting the word out. That's why a data storyteller is one of the key members of any testing team.In fact, “communication and data storytelling” was noted as a critical skill for a person who leads testing and optimization efforts, according to a survey of marketing leaders who conduct tests and online experiments.1 The must-have skills rounding out the top three were leadership and, the obvious, analytics.A data storyteller is part numbers-cruncher, part internal marketer, and part ace correspondent from the testing trenches. He or she is someone who can take the sheer data of testing — the stacks of numbers, the fractional wins and losses, the stream of daily choices — and turn it into a narrative that will excite the team, the office, and (especially) the C-suite.Storytelling doesn't just mean bragging about successes. It can also mean sharing failures and other less-than-optimal outcomes. The point is not just to highlight wins: it's to reinforce a culture of growth, to generate interest in experimentation, and to explain why testing is so good for the company."Our test success rate is about 10%," says Jesse Nichols, Head of Growth for Nest. "We learn something from all our tests, but only one in 10 results in some kind of meaningful improvement." That means that a big part of the data storyteller's job is to keep people interested in testing and show them the value.Watch our on-demand webinar “Test with success — even when you fail” to hear more testing and optimization tips.If you're the data storyteller for your team, here are three points to remember:Take the long view.  Gaining support for testing is like rolling a rock up a hill: slow going at first, but once you cross the summit the momentum will take over fast. It takes time, so lay the groundwork with lots of short reports. Don't wait to make formal presentations: Look for chances to drop your message into weekly wrap-ups and other group forums. In short, don’t be afraid to over-communicate. Be specific. It's better to present one great number than 10 so-so ones. Think mosaic rather than mural: Look for specific stories that can represent your larger efforts and broader plans. Keep your eye on the bottom line. In the end, that's what it's all about. You may be thrilled that a call-to-action change from "see more" to "learn more" increased clicks by .03%, but what will really get the CMO and other executives interested is moving the profit needle. As a litmus test, ask yourself, “So what?” If your story doesn’t clearly answer the question in terms the audience cares about, consider giving it a rewrite. And remember that it won't always be small victories. "The things you're so sure are going to work are the ones that go nowhere," says Jesse. "Then you do a throwaway test and it makes the company an extra $500,000." That's a story that everyone will want to hear.Download our eBook How to Build a Culture of Growth to learn more best practices on testing and optimization.1Source: Google Surveys, U.S., "Marketing Growth and Optimization," Base: 251 marketing executives who conduct A/B tests or online experiments, Oct. 2016. Posted by Casey Carey, Director, Platforms & Publisher Marketing [...]



Data Studio: Now create apps, big screen, and docs experiences

2017-03-27T14:27:47.596-07:00

Our vision for Data Studio is to give report creators full control over the viewer experience. Today we’ve added a number of report properties that enable you to create apps, big screen, and document experiences.App Experience: Auto-hide header, no-margins, left hand navClick for full-size imageBig Screen Experience: Auto-hide header, no-margins, 16:9 aspect ratioClick for full-size image Document Experience: Fixed header, margins, custom canvas lengthClick for full-size imageSpecifically we’ve added a number of new report properties giving you the ability to control:The visibility of the report header Using a top or left hand navigation control Whether to show margins The height and width of the canvas We’ve enabled these features on all reports. To use them, just open or create a new report, unselect all components, and you will see these new report properties.Click for full-size imageTo learn more read the report layout options article in our help center.We’re excited to see how creators will customize their reports using these features. Let us know how they work for you in the comments.Post By Nick Mihailovski, Product Manager Data Studio [...]



Join us live on May 23, 2017 as we announce the latest Analytics, DoubleClick and Ads innovations

2017-03-20T08:08:06.047-07:00

What: Google Marketing Next keynote live stream
When: Tuesday, May 23, 9:00 a.m. PT/12:00 p.m. ET.
Duration: 1 hour
Where: Here on the Google Analytics Blog

Be the first to hear about Google’s latest marketing innovations, the moment they’re announced. Watch live as my team and I share new Ads, Analytics and DoubleClick innovations designed to improve your ability to reach consumers, simplify campaign measurement and increase your productivity. We’ll also give you a sneak peek at how brands are starting to use the Google Assistant to delight customers.

Register for the live stream here.

Until then, follow us on Twitter, Google+, Facebook and LinkedIn for previews of what’s to come.

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Two New Analytics Academy Courses and Year-Round Certification

2017-03-30T10:48:35.598-07:00

For three years, many have participated in our free online courses on Analytics Academy, which aim to help you become an analytics expert and learn best practices on how to make your data actionable. In 2013, we started with a single course focused on Digital Analytics Fundamentals, and have since grown our offerings to include Google Tag Manager, Ecommerce and more.

Today, we are introducing two new courses for Analytics Academy: Google Analytics for Beginners and Advanced Google Analytics.

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In Google Analytics for Beginners, you will join instructors Justin Cutroni and Krista Seiden to learn the basics of Google Analytics, including how to create an account, implement the code, and set up filters. You'll also learn how to navigate the interface, analyze reports, set up goals, track campaigns, and create dashboards.

Our Advanced Google Analytics course goes in depth on how data gets collected and processed. You’ll learn how to use configurations like Custom Dimensions, Custom Metrics, and Event Tracking. The course also demonstrates advanced techniques, including segmentation, channel reports, audience reports, custom reports, and marketing strategies like remarketing.

Both of these courses include interactive demos and activities to apply what you have learned, using our free Google Analytics Demo Account.

In addition to this pair of new courses, Analytics Academy has added some new features:

• 24/7/365 Certification: You can complete courses at your own pace and earn a certificate of completion at any time. No more certification windows!

• User Profile: You can track your progress and access your certificate from your user profile.

• Track your lesson progress: You can track your progress through a course, and resume a course where you left off. 


Sign up for Google Analytics for Beginners or Advanced Google Analytics and start learning today. 

Happy Analyzing.

Posted by Katie Richardson, Program Manager, Google Analytics
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Happy 1st Birthday, Google Analytics 360 Suite! It’s an insights party, everyone’s invited

2017-03-15T10:00:31.996-07:00

Time flies (and data mounts) when you’re having fun with measurement. One year ago today, we announced our enterprise suite of marketing measurement and analytics solutions, the Google Analytics 360 Suite. Today we wanted to reflect on this first year. Because, well, a lot has changed.  Where we startedAs marketers know, in today’s mobile-first world, people expect more from brands. They want questions answered quickly, and they want a relevant, engaging experience.That’s a tall order. So on March 15, 2016, we introduced the world to the Google Analytics 360 Suite, an enterprise measurement solution comprising analytics, tagging, site optimization, data visualization, attribution, and audience management. It helps marketers get more insights — not more data — and deliver more meaningful experiences to customers. Built from the ground up with modern technology and cross-product integrations, it does the heavy lifting for marketers.Last fall, we welcomed Google Surveys 360 to the suite family, allowing marketers to gauge brand health, get user feedback on site experiences, and understand marketing impact with fast, reliable insights. A great addition to the 360 Suite, Surveys makes getting performance marketing insights and market research to better answer the “why” really easy.It’s just the beginning: we’re on a journey togetherThis past year we’ve continued to check in with marketing decision-makers to see what challenges they still face in their data-driven transformations (so we know where to make product enhancements), and here’s what we’re hearing:Building a culture of growthLeading marketers are embracing data and testing to continually improve the customer experience — or simply, make a website better — day by day. This growth mindset requires a willingness to experiment. And with that comes the challenge of getting comfortable with failure. Remember: There’s still a lot to be learned from (and celebrate in) a success rate of 1 in 10.Dealing with dataWhen we surveyed marketing decision-makers at the end of last year, 61% said they struggled to access or integrate the data they needed in 2016. And 26% of marketers said they didn't have the right analytics talent or enough of it.1 If marketers spend too much time wrangling with data, that means measurement is not always top of mind.Measurement is sometimes an afterthoughtOnly 5 out of 10 marketers said they think about measurement while developing campaign strategy.2 When data keeps pouring in, thinking about what campaign information you need to collect may be the last thing on your mind. But if you don't define your measurement goals from the beginning, you may not collect the right data to understand what's working and what isn't.Big plans for the year aheadMarketers who rethink measurement for a multi-screen world are reaping the benefits. In fact, leading marketers are 75% more likely than the mainstream to have moved to a more holistic model of measurement in the last two years, according to a recent study from Econsultancy and Google.3 But, getting a handle on all your data can take time. And that’s OK.Google has some exciting product developments in the works that will help marketers automatically uncover insights and make smarter, faster decisions. In fact, we recently shared an Analytics 360 update that gives our customers the fastest access to the freshest first-party data we've ever offered.The party’s just getting started. Stay tuned in for another exciting year.Happy analyzing!1 Google Surveys, U.S., "2016–2017 Marketing Analytics Challenges and Goals," Base: 203, marketing executives who have analytics or data-driven initiatives, Dec. 2016. 2 Google Surveys, "Measurement in Campaign Timeline", Base: 1,092 marketing executives, U.S., August 2016. 3 Econsultancy and Google, Analytics and Measurement [...]



Lessons Learned: Testing and Optimization Tales from the Field

2017-03-14T07:30:10.612-07:00

Max van der Heijden is a user experience and conversion specialist at Google who works with companies across Europe, the Middle East, and Africa. Max shares his thoughts about how companies can build a culture of growth and experimentation.How many times have you launched new features or page designs on your website without testing first?In an ideal world, companies should test everything before rolling out site changes. But some websites have too little traffic to generate credible results from experiments, and some bugs should just be fixed if they prevent users from achieving their goal. At the very least, analyze your analytics data and use qualitative methods such as user tests and surveys to validate any improvement ideas you have before implementing. If you have the traffic volume: Test!I’m part of a team at Google that works with advertisers to identify opportunities for improving website user experiences through experiments and testing roadmaps. When our team of UX specialists begins consulting with a new company, the first three things I tell them are:The possibilities for improvement are enormous. Even if an experiment increases your conversion rate by “just 5%,” you can calculate the positive effect on your revenue.What works for one may not work for all. No matter how many times we have seen recommendations or “best practices” work on other — maybe even similar — websites, that does not mean it will work for your users or your business.Expect failures — and learn from them. Testing takes time, and it's hard to know which tests will pay off. Embrace failures and the lessons learned from them.Making the switch from “get-it-live” mode to a test-and-learn mindset takes time and effort. Leading companies are building a culture of growth: one where people focus on using data and testing to optimize the customer experience day by day. Below are some of the key lessons learned as we work with teams embracing this growth mindset.Get top-level supportWhen we first talk with customers, we insist a decision-maker attend our meetings. If there's no support from the top, all of our testing ideas could end up on the shelf collecting dust. Obviously, the marketing executive or CEO won’t have an a-ha moment if you frame testing as a way to improve conversions. The trick is to show how testing impacts a business goal, such as revenue or, better yet, profit. Then the decision-maker will have an ohhh moment: As in, “Ohhh, I knew this was important, but I didn’t think about how a small change could have such a big impact on our bottom line.” Top-level support will help you get the resources you need and unlock the potential of people already working on experiments. The trend we see is typically one or two persons who start doing the optimizations. They are usually mid-level designers or data analysts who have an affinity for conversion rate optimization, but are often working in a silo.On the other end of the spectrum, we see companies that have fully bought into the power of experimentation. Multiple customers even have a group of product managers who work on projects with a group of specialists, including a data scientist, copywriter, designer, and even a design psychologist.Tip: Look for these three types of people to jumpstart a culture of growth in your organization.Prioritize, prioritize, prioritizeYou can't test every idea at once. And prioritization should not be a guessing game.When we surveyed a group of our EMEA advertisers at a conversion rate optimization event, 38% of the respondents said they use their gut or instinct to prioritize, while 14% allow the HiPPO (highest paid person’s opinion) to call the shots.1 Instead, try using a framework that takes into account past lessons learned and resource requirements.Map test ideas in a speed-versus-impact grid, and prioritize [...]



Agilent Technologies Democratizes Data With Smooth Migration to the Google Analytics 360 Suite

2017-03-09T08:29:49.767-08:00

Agilent Technologies provides laboratories worldwide with instruments, services, consumables, applications, and expertise. They are experiencing a shift as more of their buyers are turning to the web for information on healthcare equipment and services.Image: AdvanceBio Columns Improve Laboratory Workflows (source) As part of a recent digital transformation to meet their audience’s needs, they sought to expand the analytics capabilities of the company. They worked with E-Nor, a Google Analytics 360 Services and Sales Partner, to develop a measurement strategy and support an analytics technology migration to the Google Analytics 360 Suite.Below is a quick summary of how Agilent is democratizing their data with the Google Analytics 360 Suite, to learn more read the full case study.The key challenge was to provide a solution with minimal technical overhead that encouraged analytics adoption within the organization. Agilent also needed a solution that would integrate well with data from other sources. Together, Agilent and E-Nor developed a measurement strategy incorporating business objectives, strategic initiatives, and key performance indicators. They then outlined a complete migration plan to meet many requirements, including implementation, dashboarding, data governance, and more.Once the plan was in place, it was put to motion! E-Nor supported Agilent’s teams through a successful analytics solution migration. As a result, data from Analytics 360 is now used to help make both strategic and niche decisions throughout the organization. BigQuery and Data Studio expand capabilities by providing easy access to advanced analysis for key stakeholders.“Google Analytics 360 has enabled an analytics culture where all digital teams have access to data in real time, and insights can quickly become business action.” Karen Brondum, leader of the Digital Analytics COE at AgilentThanks to Agilent and E-Nor’s collaborative efforts, the company has experienced a 400% growth in analytics users. They were also able to lower the cost of ownership for their analytics program, with less effort from all teams required to get to business insights. Learn more about how they achieved those results in the full case study.p.p1 {margin: 0.0px 0.0px 8.0px 0.0px; line-height: 36.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 14.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000; min-height: 14.0px} p.p3 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 20.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000} p.p4 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 20.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000; min-height: 14.0px} p.p5 {margin: 0.0px 0.0px 0.0px 48.0px; line-height: 20.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000} span.s1 {font-kerning: none} span.s2 {text-decoration: underline ; font-kerning: none; color: #1155cc; -webkit-text-stroke: 0px #1155cc} Posted by Tara Dunn (E-Nor) and Daniel Waisberg (Google) [...]



Data Studio now globally available

2017-03-07T09:00:06.395-08:00

Last month we announced we removed the five report limit in Data Studio, allowing you to create and share as many reports as needed — all for free. Today we are opening up access to 180+ countries, enabling even more businesses to easily connect to data and create beautiful, informative reports that are easy to read, easy to share, and fully customizable.New, powerful featuresIn addition to making Data Studio accessible in more countries, we’re also adding more powerful features to help you better analyze and report on your data, including:FiltersYou can now filter your data in more ways, and it's easier to reuse filters on multiple charts. This new functionality includes:Reuse – Create a filter once and then use it on as many different components on the report as you want. No more recreating identical filters!Compound filtering – Combine multiple AND and OR filter conditions together into one reusable filter.Metric filters – Filter metric values that are too large, too small, or within a specified range.Learn more in the Filter Help Center article.New Filters UIGoogle Analytics segmentsYou can now apply Google Analytics segments to your charts!A Google Analytics segment represents a subset of your data, for example, Returning Users. You can now see all your Google Analytics segments in Data Studio and apply them to any chart. And, if you update the definition of your segments in Google Analytics, those changes will apply to the segments in Data Studio.Learn more in the Segments Help Center article.Data Studio allows you to link to your Google Analytics segments.More powerful data connectorsWe’ve improved several of our most popular data connectors, YouTube, DoubleClick Campaign Manager, and AdWords, by adding many new dimensions and metrics. Some highlights include adding YouTube video title, DoubleClick Campaign Manager revenue and cross-environment conversions broken out by app, AdWords campaign ID, and keyword quality score. For a full list of all the new fields, please see the Data Studio release notes.Google Cloud Platform integrationsWe’re also announcing tighter integration with the Google Cloud Platform to enable faster data reporting at scale and more powerful functionality.File uploadNot all your data resides within SQL or Google databases. Data Studio now has the ability to upload up to 2GB of CSV data for free enabling you to bring in data from anywhere. Have more data? Upload directly into BigQuery using your BigQuery account to take advantage of the scalable processing power of Google's infrastructure.Tighter BigQuery integrationNot only can you upload data directly into BigQuery, Data Studio now supports Standard SQL in BigQuery for custom queries and partitioned tables.Learn more about these new featuresNot sure where to start? You can browse our gallery of Data Studio templates. Need more information on these new features? Visit the Help Center articles for more details:FiltersSegmentsFile UploadAs always, your feedback and questions are welcome in the Data Studio community forum.Happy reporting!Posted by Dave Oleson, Data Studio Product Manager [...]



The life of a help center article

2017-03-07T02:47:50.581-08:00

Google has dozens of help centers both for external and internal products. Our Technical Writers work hard to keep up with new features, constantly adding new articles, reviewing user feedback and usage metrics to improve existing content. They work closely with Product Managers, Engineers, Marketing and other parts of the company to make sure their content is accurate and in line with the messages Google wants to convey.The Google Analytics 360 Suite publishes 8 Help Centers, including Analytics, Tag Manager, Optimize, Attribution and others. With so much knowledge being shared, we thought it would be interesting to our users to understand how we produce this content and where our ideas come from. So we decided to talk to one of our Technical Writers, Rick Elliott, who is responsible for content published in the Data Studio Help Center. allowfullscreen="" frameborder="0" height="360" src="https://www.youtube.com/embed/97n6zVPispg?rel=0&showinfo=0" width="640"> Basically, all help content comes from asking the question: what does the user need? We hope the product is intuitive and easy to use so that extra help is not required, but there are always concepts or flows that require more explanation. So that's the start of a new Help Center article. Depending on the situation, a new article usually stems from 1 of 3 sources:We launch a new feature and it requires documentation.We get questions from users on the help forum that can be answered by a new article.A writer gets a bee in their bonnet and decides we need to document something more fully.After that, it's a process of interviewing the subject matter experts and trying it through lots of sample reports to make sure the flows are right. Once the first draft is done, it is sent out for review and comments, but there may be another round of review and feedback before it gets published. Another big step in the help center content flow is localization: we usually get the translated content out a week or two after publishing the English version. Watch the video to learn more about how Rick developed massive Help sections such as the  chart references and the "warm welcome report".Posted by Daniel Waisberg and Rick Elliottp.p1 {margin: 0.0px 0.0px 13.3px 0.0px; line-height: 47.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000} p.p2 {margin: 0.0px 0.0px 13.3px 0.0px; line-height: 20.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000} p.p3 {margin: 0.0px 0.0px 13.3px 0.0px; line-height: 20.0px; font: 12.0px Arial; color: #1155cc; -webkit-text-stroke: #1155cc} p.p4 {margin: 0.0px 0.0px 13.3px 0.0px; line-height: 17.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000} p.p6 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 14.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000; min-height: 14.0px} li.li2 {margin: 0.0px 0.0px 13.3px 0.0px; line-height: 20.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000} li.li5 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 20.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000} span.s1 {font-kerning: none} span.s2 {text-decoration: underline ; font-kerning: none; color: #1155cc; -webkit-text-stroke: 0px #1155cc} span.s3 {font-kerning: none; color: #000000; -webkit-text-stroke: 0px #000000} ol.ol1 {list-style-type: decimal} [...]



Real-time just got real: Google Analytics 360 offers fresher insight

2017-03-01T10:23:03.325-08:00

You’ve just launched a website or feature. Your toe is already tapping. Wait, wait, wait — you can hardly wait one hour to see exactly how it’s performing. Sound familiar? If you’ve been there, we have exciting news for you.Google Analytics 360 can now provide updated insights as quickly as every 10 minutes. We’re proud to give our customers the fastest access to the freshest first party data Google Analytics has ever offered. What did you just say?!If you need to know how your sites, microsites, or digital engagements are doing right now, we’ve got you covered. Most first-party data in Analytics 360 can now be collected, processed, and available — via our UI, API, and BigQuery integration (coming soon) — in as fast as 10 minutes. This means you can move faster to: Fix things when they’re brokenDetect trends and react when things are popular Understand and take action on the impact of cultural events or social memes To see how fresh the data is in your report at any time, just look for this icon in the upper right: When you see this icon, it means you’re looking at today’s data and the report is supported and super fresh. Hover over the icon to see how fresh the data is!This new level of freshness is only available to Analytics 360 users. To learn more about which reports, views, and properties support fresher data, and the factors affecting data freshness, check out our help center. Some site owners just can’t waitBrands and sites in the business of capitalizing on momentary consumer attention are excited about fresher insights. Take the case of publishers and retailers as an example. Publishers strive to put the richest, most interesting content in front of users at any given point in time. The trick is understanding what’s rich and interesting right now — and that’s a constantly moving target. Publishers have long referenced our real-time Google Analytics reports to make decisions, but sometimes they’re looking for deeper insight than what is provided in those reports. Fresher insights across additional Google Analytics reports help our publishers make even more informed content decisions, paving the way to better user acquisition, user engagement, and a stronger relationship between content consumer and publisher brand.Online retailers are in the same boat. When celebrities wear a product or mention a brand on social media, product interest may spike. Retailers may have just minutes to capitalize on purchase intent before it wanes.When a product’s popularity is on the rise, retailers can react by upping its prominence to capture interest, running focused promotions or recommending related products to expand consideration. With fresh insights available as soon as every 10 minutes, retailers move faster and turn trending interest into sales.Speed is good, but safety comes firstAs you know, Google Analytics has the ability to pull in data from other sources like AdWords and DoubleClick. We refer to these as “integration sources” and these sources operate with additional requirements, like fraud detection, that mean that the data in these reports are exempt from our enhanced freshness capabilities. For example, any report with Ads data, including a dimension widened by an Ads integration, will continue to be made available within hours. For further details on which reports are supported or not supported, please read the help center article here. Posted by Breen Baker, on behalf of the Google Analytics team [...]



Audience Data Mining Case Study: PBS & LunaMetrics

2017-03-01T07:28:23.049-08:00

Google Analytics 360 can be used to collect and process a wealth of data, and there are many opportunities to make use of it. But some companies want to take advantage of the powerful data mining tools offered by the Google Cloud Platform: enter the Google Analytics 360 export to BigQuery. Today we're publishing a new case study developed by LunaMetrics and PBS, showing how Google Analytics 360 and the Google Cloud Platform were used  to classify audiences to improve user experience design, personalization, and targeting for marketing and messaging. PBS television programming reaches millions of people, and its website PBS.org is an online content hub that supports that television experience and provides online video streaming content. PBS.org, like many websites, strives to understand its users and their needs for features and content by developing personas and audience segmentation. Personas often begin with anecdotal knowledge of customers or users and can be informed by many kinds of data, including interviews and other qualitative ethnographic data as well as surveys and other quantitative market research.PBS was able to develop an additional approach with Google Analytics 360 and its BigQuery export: employing a data-driven method to classify audiences. PBS already had a robust Google Analytics implementation, with the default information enhanced by Event Tracking for on-page interactions and a wealth of internal information surfaced and stored in Custom Dimensions.A data mining algorithm classified clusters of similar users based on a number of behavioral factors.PBS partnered with LunaMetrics on a Data Science Solutions project to distill large and complex datasets like these into concrete, usable results. LunaMetrics applied data mining techniques to find patterns of audiences based on their website behavior. Using BigQuery along with Google Cloud Platform products such as Cloud Datalab and Cloud Storage, they were able to extract answers from over 330 million website sessions.The analysis identified six distinct groups of users, for instance those who primarily focus on either particular kinds of content (such as news or information for parents) or features (with different preferences for watching video online or on TV-connected devices). PBS was able to use these findings to reinforce and refine their existing personas, now based on behavioral data.  Moving forward, these personas can inform the creation of new audiences to be used in remarketing, advanced reporting and content experimentation.For more information, check out the full case study. For the technical details, check out Audience Modeling with Analytics 360 and Google Cloud Platform on the LunaMetrics blog.Posted by Jonathan Weber (Lunametrics) and Daniel Waisberg (Google)p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 20.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 14.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000; min-height: 14.0px} p.p3 {margin: 0.0px 0.0px 0.0px 0.0px; line-height: 20.0px; font: 12.0px Arial; color: #000000; -webkit-text-stroke: #000000; min-height: 14.0px} span.s1 {font-kerning: none} span.s2 {text-decoration: underline ; font-kerning: none; color: #1155cc; -webkit-text-stroke: 0px #1155cc} [...]



‘All Killer, No Filler’: The Next Web finds the right message with Google Optimize 360

2017-02-15T08:05:19.246-08:00

In a world where consumer behavior can shift on a dime, marketers constantly ask themselves: How can we be more useful to our customers? With all the data businesses collect, the challenge becomes tuning out the noise to focus on insights your team can act on. Today’s most successful businesses have turned to a new approach: building a culture of growth and optimization. This is where everyone in an organization is using data to test and learn as a means to improve the customer experience every day.The Next Web, a technology-media company and online publisher, has embraced this testing culture and turned to Google Optimize 360 to help them find just the right message to drive readers to their conference website.The Next Web Case Study The Next Web’s conferences bring tech leaders, entrepreneurs, and marketers together to innovate, share, and look ahead. The first TNW conference was created in 2006 by Patrick de Laive and Boris Veldhuijzen van Zanten, when they couldn’t find the kind of event they needed to showcase their own startup.That first event drew a respectable 280 attendees, but the founders knew they needed a better way to promote future TNW conferences. That’s when they launched thenextweb.com, a tech news and culture website that today attracts 8 million users a month. The Next Web’s two annual conferences in New York City and Amsterdam now draw over 20,000 attendees.The Next Web’s marketing team uses promotional messages within articles on thenextweb.com to drive potential attendees to the conference website and sell tickets. To find out which combination of messages works best, they used Google Optimize 360, an integrated part of the Google Analytics 360 Suite. "We want more people to read content on thenextweb.com as a first step," says Martijn Scheijbeler, who leads the marketing team's efforts. "If we can convince them to become a loyal user, we can try to interest them in different opportunities. In the end, we’d like them to join us at one of our events to experience what The Next Web is really about." With one of its conferences coming up, The Next Web's marketing team wanted to compare different headlines and descriptions to see which combination would drive more readers to its conference page. Using Optimize 360, The Next Web team ran a multivariate experiment to discover the combinations that worked best. For The Next Web, the results were clear: The "All Killer, No Filler" headline with the "This one's different, trust us" description was the winner. During the experiment it performed 26.5% better than the original headline and description, with a 100% probability to beat baseline.Today The Next Web team tests and optimizes its conference messages day by day. Better messaging means more traffic to The Next Web conference site, and that means more attendees. It also gives the marketing team extra wins like higher awareness and more newsletter signups.“Optimize 360 and Analytics 360 make testing easy for us,” Martijn says. “They give us much better insights into how many clicks we’re getting for each message. We’re reaching more people who want to come to our conferences, and those better results are going right to our bottom line.”For more, read the full case study with The Next Web. Posted by Tiffany Siu, Product Marketing Manager, Optimize 360 [...]



A Love Story for the Ages: Marketing Commits to Measurement

2017-02-14T07:00:06.638-08:00

Marketing and Measurement have been flirting for a long time now. But if these two finally get past the awkward stage and form a lasting bond, beautiful things can happen.Working together, Marketing and Measurement can uncover insights that will improve your marketing, your customer experiences, and ultimately your business. To reach that next relationship level, Marketing can’t just casually date Measurement when it’s convenient. They need a real commitment.The secret to a strong relationship“For growth-driven marketers, measurement isn't an afterthought. It's one of the key reasons they’re succeeding and growing in an ever-changing, mobile-first world,” said Matt Lawson, Google's Director of Performance Ads Marketing.Leading marketers are 75% more likely than the mainstream to have moved to a more holistic model of measurement in the last two years.1When Marketing and Measurement “put a ring on it,” the future looks bright. Leading marketers are 75% more likely than the mainstream to have moved to a more holistic model of measurement in the last two years, according to a recent study from Econsultancy and Google. What’s more, the same study shows leading marketers were more than twice as likely to have significantly exceeded their top business goal in 2015.2Don’t expect ‘happily ever after’Engagement isn't where the story ends, of course.Along the way, Marketing and Measurement may experience setbacks or failures as they test and learn from each other. In a recent survey of marketing decision makers with analytics initiatives, 61% of respondents said they struggled to access or integrate the data they needed last year.3As with any relationship, Marketing and Measurement will need to “work on it.” And as this love story evolves, they will need to let go of traditional measurement practices and embrace a growth mindset that rethinks and remakes marketing measurement for the future.If Marketing and Measurement are ready for a serious commitment at your company, here are three keys to a successful partnership:Collaborate to identify and measure what really matters to your businessCommunicate key insights uncovered from your data to help support decision makingTake action to ensure those insights lead to better customer experiencesDownload “Driving growth with marketing measurement in a mobile world,” a new report from Econsultancy and Google, for more best practices for marketing leaders.1,2 Econsultancy and Google, Analytics and Measurement Survey, 2016, Base: n=500 marketing and measurement executives at North American companies with over $250MM in revenues 3 Google Surveys, U.S., "2016–2017 Marketing Analytics Challenges and Goals," Base: 203, marketing executives who have analytics or data-driven initiatives, Dec. 2016. Posted by Karen Budell, Content Marketing Manager, Google Analytics 360 Suite [...]



Data Studio: Enhanced AdWords MCC Support

2017-02-10T10:40:22.833-08:00

An AdWords manager account (MCC) is a powerful tool for handling multiple AdWords accounts. Manager accounts allow users to link several accounts so they can be viewed in a single location, and are frequently used by third-party advertisers such as agencies and marketing professionals.

Today the Data Studio team is releasing an enhanced AdWords connector, giving users the ability to select MCC sub-accounts and set up reports for accounts containing multiple sub-account currencies.

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New capabilities

There are two major enhancements to the AdWords connector:

1. Selecting sub-accounts: prior to this release it was only possible to connect to an entire MCC account as the data source for a Data Studio report. This enhancement allows users to define a data source by selecting up to 75 individual sub-accounts within an MCC account.

2. Filtering on currencies: one common challenge with MCC accounts occurs when sub-accounts are set to different currencies. While metrics such as impressions and clicks can be aggregated correctly across these sub-accounts, currency fields like Cost and Average CPC cannot. The enhanced AdWords connector allows MCC account holders to filter sub-accounts by currency to avoid this problem, and removes currency fields from the connector if multiple currencies are present.

Connecting to AdWords MCC accounts
To connect to MCC accounts, create a new Data Studio data source and select the AdWords connector. If you have access to an MCC account, a “MANAGER ACCOUNTS” option will appear. The account holder can then select sub-accounts they are interested in, or use the pull-down menu in the upper-right corner to filter for sub-account currencies.

Note that existing Data Studio connections to MCC accounts must be edited and reconnected or recreated from scratch to take advantage of the new enhancements.

Your feedback and questions is welcomed in the Data Studio community forums

Happy Reporting!

Posted by Alon Gotesman, Google Data Studio team
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What does a good website test look like? The essential elements of testing

2017-03-16T10:46:38.061-07:00

"Test! Test! Test!" We've all heard this advice for building a better website. Testing is the heart of creating a culture of growth ― a culture where everyone on your team is ready to gather and act on data to make the customer experience better day by day.But how do you run a good test? Is it just a matter of finding something you're not sure about and switching it around, like changing a blue "Buy now" button for a red one? It depends: Did you decide to test that button based on analytics, or was it a wild guess?Assuming the former, a good test also means that even if it fails, you’ve still learned something. A bad test may make your website performance worse than before, but it’s even worse if you don’t take those learnings into account in the future.The key to running good tests is to establish a testing framework that fits your company.Watch our on-demand webinar to hear Krista Seiden, Google Analytics Advocate, and Jesse Nichols, Head of Growth at Nest, share a six-step framework for testing and building better websites.Frameworks vary from business to business, but most include three key ideas:Start with an insight and a hypothesis.A random "I wonder what would happen if …" is not a great start for a successful test. A better way to start is by reviewing your data. Look for things that stand out: things that are working unusually well or unusually badly. Once you have an insight in hand, develop a hypothesis about it: Why is that element performing so well (or so badly)? What is the experience of users as they encounter it? If it's good, how might you replicate it elsewhere? If it's bad, how might you improve it? This hypothesis is the starting point of your test.For example, if you notice that your mobile conversion rate was less than on desktop, you might run tests to help you improve the mobile shopping or checkout experience. The team at The Motley Fool found that email campaigns were successfully driving visitors to the newsletter order page, but they weren’t seeing the conversions. That led them to experiment on how to streamline the user experience. Come up with a lot of small ideas.Think about all the ways you could test your hypothesis. Be small-c creative: You don't have to re-invent the call-to-action button, for instance, but you should be willing to test some new ideas that are bold or unusual. Switching your call-to-action text from "Sign up now" to "Sign up today" may be worth testing, but experimenting with "Give us a try" may give you a broader perspective.When in doubt, keep it simple. It's better to start with lots of small incremental tests, not a few massive changes. You'll be surprised how much difference one small tweak can make. (Get inspiration for your experiments here.)Go for simple and powerful. You can't test every idea at once. So start with the hypotheses that will be easy to test and make the biggest potential impact. It may take less time and fewer resources to start by testing one CTA button to show incremental improvement in conversion rates. Or, you may consider taking more time to test a new page design. It may help to think in terms of a speed-versus-impact grid like this. You don't want quiet turtles; the items you're looking for are those potential noisy rabbits. The best place to begin a rabbit hunt is close to the end of your user flow. "Start testing near the conversion point if you can," says Jesse Nichols, Head of Growth at Nest. “The further you go from the conversion point, the harder it gets to have a test that really rocks — where the ripple effect can carry all the way through to imp[...]



Data Studio: Search Console Connector

2017-02-08T10:56:54.592-08:00

Google Search Console is a free service offered by Google that helps webmasters monitor and maintain their site's presence in Google Search results. Search Console helps users understand how Google views their site and allows them to optimize their performance in search results.Search Console’s Search Analytics feature shows webmasters how often their site appears in Google search results for various keywords. This data is extremely powerful but currently lives in Search Console’s Search Analytics Report and is hard to combine with other data sources.Today we are announcing a new Data Studio connector for Search Console. With this launch users can pull their data into Data Studio to build reports that include impressions, clicks, and average position broken out by keyword, date, country, and device.Search Console users can now build Data Studio reports to understand how their search traffic changes over time, where traffic is coming from, and what search queries are most likely to drive traffic to their sites. Users can also filter reports for mobile traffic to improve mobile targeting, and to analyze clickthrough rates for various organic search terms.As always, Data Studio report creators can add components from other data sources into a single report. With this new connector, users can use the Search Console and AdWords connectors to compare performance across paid and organic search, or add Google Analytics data to analyze site-side performance.Note that Search Console metrics can be aggregated by either site or by page (URL). This is configured in the Data Source creation flow, where users can select either “Site Impression” or “URL Impression”. To learn more about the distinction between these two methods please see the Search Analytics Report Help Center article.Want to learn more? Looking for a new connector in Data Studio?To learn more about the new Search Console connector, please visit our Help Center or post your questions in the Data Studio community forums.Is there a specific data service you wish to be able to access and visualize through Data Studio? We welcome your feedback via the connector feedback form — we read all responses and use them to prioritize new connectors.Happy reporting!Posted by The Data Studio team [...]



Introducing Google Analytics 360 Suite Policies

2017-02-07T10:48:54.093-08:00

We have been making improvements to the admin section of Google Analytics 360 Suite to fit the needs of modern enterprises. Recently, we made account recovery easier. Today, we’re pleased to announce another feature we’ve heard users ask for: User policies for your organization. User policies are a user management feature to help Google Analytics 360 Suite organization administrators to better control who has access to their corporate data.How user policies workAn organization’s user administrator can create a user policy specifying what users are allowed or disallowed to do within their organization’s Google Analytics accounts. For example:A domain may be entered to allow any users with email addresses on that domain A single user email may be entered to explicitly allow that user A single user email may be entered to explicitly disallow that user Click image for full-sized versionAuditing policy violators Any user who violates the policy will be highlighted on the Suite Admin User’s report. We check both primary and secondary Google User Account email addresses when considering if a user passes a policy; if any email on the Google User Account account passes a policy rule, that user is considered to be allowed.Policy Auditing - note the red (!) icons next to policy violatorsAdding Users that Violate PolicyAt this time, we do not block the addition of policy violating users to suite products. Product account administrators may still add a user that violates the user policy, and that user will appear in the Audit report seen above with a red (!) icon. At a future time, we will allow policy administrators to choose to block violating users from being added.Posted by David Wieser, Google Analytics team [...]



Making Google Data Studio Free for Everyone

2017-02-02T09:15:49.996-08:00

Today, Google's mission to organize the world's information and make it universally accessible and useful is even more relevant and broad reaching. And last year’s launch of both free and enterprise versions of Data Studio, a new dashboarding and reporting tool, is a testament to our commitment to this vision. Over the past 9 months we’ve received positive feedback and seen tremendous demand for the product. And we’ve continued to enhance the product making it even easier to use via templates and adding many new data connectors.

To enable more businesses to get full value from Data Studio we are making an important change — we are removing the 5 report limit in Data Studio. You now create and share as many reports as you need — all for free.

This change combined with a very exciting roadmap for 2017 are designed to accelerate our goal to help you fully leverage all your data across your organization and to ultimately make better decisions.

Thank you for using Google Data Studio and as always, please share your thoughts and feedback as to how we can improve the product. We’re excited by what the future holds! 

Happy Analyzing.

Posted By Nick Mihailovski, Product Manager, Google Data Studio
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3 Ways to Better Support Marketing Decisions with Data

2017-01-31T08:00:08.421-08:00

It’s often said that marketing is both an art and a science. The science side is increasingly in the spotlight as companies use data to optimize the customer experience at every touchpoint. But, ensuring that insights surfaced from that data lead to action requires the arts of communication and collaboration.Highly data-driven organizations are three times more likely than others to report significant improvement in decision-making.1 Yet, 62% of executives still rely more on experience than data to make their decisions.2 When the stakes are high, decision-makers need information they can trust, easily consume, and understand.Below are three ways marketing organizations can take action on their data to better support decisions:1. OrganizeWhether you have trouble connecting teams or data sources, silos can prevent your marketing organization from reaching current and potential customers. Data silos prevent you from gaining a holistic view of the customer journey. Organizational silos slow down the flow of information and ideas. What’s more, organizational silos are the number one barrier to improving customer experience.3Outline a data strategy to organize and integrate information sources so you have the complete picture to your customers’ journeys. Collaboration and communication between departments is also key. Better yet, make sure marketers and analysts all have access to the same data sets and technology.2. VisualizeGood data storytelling means making data easy to process. By taking the time to visualize your data, you’ll be able to tell a compelling story at a glance.The goal of a revenue chart, heat map, or bar graph should be to simplify a complicated idea or communicate a body of information in seconds. Tools can help make data quickly actionable by taking multiple data sources and turning them into interactive reports and dashboards. Focus on reducing misinterpretations of your data and making it easy for decision makers to act.3. ShareIf the data can’t be understood, its insights cannot be acted on. But just as important, if the data and ideas are not shared with the right people at the right time, decision makers can’t fully leverage the power of marketing data.“Real-time data is critically important. Otherwise, business leaders may be making decisions off data that is no longer relevant. The business landscape changes so quickly, and stale data may inadvertently lead to the wrong decision,” says Suzanne Mumford, head of marketing for the Google Analytics 360 Suite.Look for solutions that offer data visualization and built-in collaboration capabilities so you can start practicing all three steps right away:Organize workflow and integrate data from multiple sources Visualize information by creating easy-to-digest, interactive reports Share insights by setting up dashboards with real-time collaboration The companies that shine at optimizing the customer experience go beyond analytics and measurement. The whole organization collaborates in order to connect the data dots and communicate the meaning and impact of insights surfaced. Leading marketing organizations build a culture of growth — one that uses data, testing, and optimization to improve the customer experience every day — and share insights in ways that everyone across the organization can understand and act on.  Download “Measuring Marketing Insights,” a collection of Harvard Business Review articles, to learn more about how to turn data into acti[...]



Making Google Analytics Account Recovery Easier

2017-01-30T08:12:29.726-08:00

A frequent feature request we receive is to make it easier to recover lost or orphaned accounts. Loss of administrative access can occur, for example, when an account administrator leaves the company without first assigning another administrator. The account continues to collect data, and users with non-administrative access are still able to log in and use the account per their assigned permissions, but the account remains in administrative limbo.Of course, we hope brands have the right onboarding and offboarding processes in place to ensure this doesn’t occur, but we understand this isn’t always possible. If you lose administrative access to an Analytics account that is linked to an organization, you can have the organization Owner restore that access. Administrative access to Analytics consists of having Manage Users and Edit permission.If you need to regain administrative access to your Analytics account, contact your organization Owner.If you are an organization Owner who needs to restore access to an Analytics account:1. Visit http://360suite.google.com 2. Open Products > Analytics.3. Select the account to which you want to restore access.4. In the right pane, under User Management, click ACCESS PRODUCT.  The User Management page for that Analytics account opens. 5. Under Add permissions for, enter the email address for the Google account you want to give administrative access.6. Select the Manage Users and Edit permissions.7. Optionally, remove any stale administrators from the account.Please view our Help Center document on this feature for more information.This is one of many user and account management improvements we’ve launched; we’re working on more, so stay tuned for future updates.Posted by Matt Matyas, Google Analytics team [...]



The New Google Data Studio PostgreSQL Connector

2017-01-19T16:51:52.013-08:00

Over the past months, we’ve been hard at work adding and enhancing all of our connectors. After our recent launch of the MySQL connector, many users asked for a PostgreSQL connector.So today we’ve launched a new PostgreSQL connector in Google Data Studio!Visualizing your data hasn’t been easier.PostgreSQL data visualized in Data StudioTo get started, create a new Report, add a new Data Source, and select the PostgreSQL Connector. Then use the wizard to configure access to your PostgreSQL database. Create a new Report, add a new Data Source, and select the PostgreSQL Connector. Then use the wizard to configure access to your PostgreSQL database.The new connector in our ever expanding listOnce connected, you will see a list of all your columns and you can create custom aggregations and calculations over your data directly in Data Studio!Calculations on top of fields accessed from postgreSQLWe’re excited to learn about what you do with this connector. Visit the Data Studio PostgreSQL connector help center article, for more details on how this connector works.Finally, we prioritized this connector directly from your feedback. If there are any additional connectors you would like added, please fill out the Data Studio Data Integrations Survey.Posted By Anand Shah, Product Manager, on behalf of the Google Data Studio team [...]



Google Analytics Breakthrough: From Zero to Business Impact

2017-01-18T09:58:59.447-08:00

Looking to sharpen your Google Analytics skills as you kick off 2017? A new full-color book is now available for analysts, marketers, front-end developers, managers, and anyone who seeks to strengthen their Google Analytics skills."In Google Analytics Breakthrough: From Zero to Business Impact, we strive to provide a step-by-step resource to help readers build a solid foundation for analytics competence. It starts at strategy and core concepts, extends to advanced reporting and integration techniques, and covers all the nuts, bolts, tricks, gaps, and pitfalls in between," says coauthor Feras Alhlou, Co-founder and Principal Consultant of E-Nor. "The book is structured to offer a succinct overview of each topic and allow more detailed exploration as the reader chooses." The book includes contributions straight from the Google team.  Avinash Kaushik's foreword starts things off with a constructive mindset, and Paul Muret's cover piece takes a unique perspective on the evolution of Google Analytics from the days of Urchin.  Krista Seiden lends her top reporting tips, and Dan Stone shares insights on remarketing. Industry experts such as Jim Sterne, Brian Clifton, and Simo Ahava also offer key takeaways.At nearly 600 pages, the book is quite comprehensive, but the authors outline a few main themes below.1- Define and Measure Success It still bears repeating: identify your KPIs as part of your measurement strategy. Map your marketing and development initiatives to the KPIs and center your analytics around your success metrics and specific improvement targets. You'll be much more likely to drive, detect, and repeat your wins, both big and small, if you always know what you're aiming for.2- Keep Your Focus on User Journey This has multiple meanings. From a Google Analytics reporting standpoint, take advantage of the reports and features - such as Multi-Channel Funnel reports, custom segments, custom funnels in Analytics 360, and calculated metrics - that go beyond session scope and begin to approach a more complete picture of user journey.Even more fundamentally, remember to always relate your data to user experience.  Contributor Meta Brown offers specific advice on crafting a hero story to make your analytics data more accessible and impactful for all stakeholders. 3- Take Full Advantage of Google Tag Manager "When we were first outlining the book, we briefly considered dual-track native and Google Tag Manager examples ," recollects coauthor Eric Fettman, Senior Consultant and Analytics Coach at E-Nor. "Shiraz steered us to a basically GTM-only approach, which  streamlined the implementation chapters and really highlighted GTM's flexibility and power."In addition to in-depth discussions about GTM's triggers, variables, and data layer, the book examines the relatively new and perhaps underutilized Environments feature.  While the publication schedule didn't allow direct inclusion of GTM Workspaces, the supplemental online materials offer a detailed Workspaces walkthrough. As an illustration of Google Tag Manager's flexibility, this Lookup Table variable will allow a single Google Analytics tag to populate into different properties based on hostname.4- Help Google Analytics Tell Stories in Your Own Language From both an implementation and reporting standpoint, Google Analytics provides a range of capabilities for customizing yo[...]