Tester Jobs Requirements (VIDEO GAME)

Welcome to the Google Performance Summit livestream! Tune in now to hear about Google�s latest mobile-first innovations, the moment they�re announced. Let us know what you think by joining the conversation at #GoogleSummit.

Over the past year, developers have adopted the Accelerated Mobile Pages (AMP) technology to build faster-loading pages for all types of sites, ranging from news to recipes to e-commerce. Billions of AMP pages have been published to date and Google Analytics continues its commitment to supporting our customers who have adopted AMP.

However, we have heard feedback from Google Analytics customers around challenges in understanding the full customer journey due to site visitors being identified inconsistently across AMP and non-AMP pages. So were announcing today that we are rolling out an enhancement that will give you an even more accurate understanding of how people are engaging with your business across AMP and non-AMP pages of your website.

How will this work?
This change brings consistency to users across AMP and non-AMP pages served from your domain. It will have the effect of improving user analysis going forward by unifying your users across the two page formats. It does not affect AMP pages served from the Google AMP Cache or any other AMP cache.

When will this happen?
We expect these improvements to be complete, across all Google Analytics accounts, over the next few weeks.

Are there any other implications of this change?
As we unify your AMP and non-AMP users when they visit your site in the future, you may see changes in your user and session counts, including changes to related metrics. User and session counts will go down over time as we recognize that two formerly distinct IDs are in fact the same user; however, at the time this change commences, the metric New Users may rise temporarily as IDs are reset.

In addition, metrics like time on site, page views per session, and bounce rate will rise consistent with sessions with AMP and non-AMP pageviews no longer being treated as multiple sessions. This is a one-time effect that will continue until all your users who have viewed AMP pages in the past are unified (this can take a short or long period of time depending on how quickly your users return to your site/app).

Is there anything I need to do to get this update?
There is no action required on your part, these changes will be automatically rolled out.

Will there be changes to unify users who view my pages both on my domain and in other contexts?
Some AMP pages are not visited directly on the domain where the content is originally hosted but instead via AMP caches or in platform experiences. However we decided to focus on fixing the publisher domain case first as this was the fastest way we could add value for our clients.

We are committed to ensuring the best quality data for user journey analysis across AMP and non-AMP pages alike and this change makes that easy for AMP pages served on your domain. We hope you enjoy these improvements - and as always, happy analyzing!

Posted by the Google Analytics team

Google Tag Manager Fundamentals shows you how to use tools like Google Analytics and Google AdWords to improve your data collection process and advertising strategies including:

• the core concepts and principles of tag management using Google Tag Manager 
• how to create website tags and manage firing rules 
• how to enhance your Google Analytics implementation 
• the importance of using the Data Layer to collect valuable data for analysis 
• and how to configure other marketing tags, like AdWords Conversion Tracking and Dynamic Remarketing.

Check out Google Tag Manager Fundamentals today! Make sure to use the language picker in the lower right corner of the page to select your language.*

Happy tagging!

*Note: This course is not currently open for certification, but all of the lesson and assessment content is available for you to learn and test your knowledge. Join the Google Analytics Academy G+ community to get updates on existing and new course content! 

  Posted by Lizzie Pace, Google Analytics Education team

Google Analytics is an important tool for marketers. It�s used to understand how people come to your website, how different content performs and how to get more conversions. All this is essential for knowing how to drive more high-quality traffic to your website.

For most B2B firms, the main purpose of their website is to generate sales leads by getting visitors to fill in some kind of contact form. But many see that just a fraction of visitors leave their contact information, and as a result, salespeople don�t get enough good quality leads from their website. So what can be done to improve this situation?

This guide will show you the 3 best ways to generate leads with Google Analytics:

1. Using Google Analytics Network report
2. Using a custom Google Analytics report template tool
3. Using Google Analytics with Leadfeeder for lead generation

One way to gain more leads from your website is identifying companies that visit, based on their IP address. With this data, you can have some information about the 98% of visitors that don�t explicitly contact you. When people visit a website using their office network, marketers can identify that someone from a certain company has visited and pinpoint what they have done there. For B2B outbound sales teams, this information can be very valuable.

If you see a company visiting your website, there�s a high probability that they�re in need of- and evaluating your product, which is the perfect time to get in touch with them.

Based on the IP address alone, it�s impossible to know exactly the name of the visitor, but in many cases this information is not needed. For example, if you sell email marketing tools and a company comes to your website and browses product pages, it�s a strong signal they are looking for a new email marketing tool. When you contact them, you want to contact the person who�s responsible for digital marketing, regardless of who visited your website.

For effective lead generation purposes, you should be able to identify real companies that have visited your website and see how they have behaved, to evaluate if they are a good lead.

1. Using Google Analytics Network Report

Using the Network report is the most common way to see which companies have been visiting your website. There have been many blog posts about this topic, for example this LunaMetrics post by Dan Wilkerson from 2012, this how-to article from Anna Lewis and a post by Traian Neacsu on uncovering hidden leads.

But these posts are all now a couple of years old and the Google Analytics interface has changed quite a lot since then. These days (2016) you can find the Network report in Google Analytics under Audience > Technology > Network.


Network report in Google Analytics

In the Network report (seen above) you will see a list of �Service Providers�. What Google Analytics means by �Service Provider� is the network where the visitor has been when they visited your website. Networks are always owned and registered by someone; typically a company, Internet Service Provider or some other organization.

One challenge in using the Network report is that many times the IP is registered by an Internet Service Provider (ISP) or some other non-interesting organization. In order to see the real companies, you should filter out ISPs from the list. The easiest way of doing this is to use the advanced search button and select to exclude Service Providers that match the following RegExp (just copy/paste this to the filter):

(not set|customer|internet|broadband|isp|cable com|network|tele|dsl|subscriber|pool|telecom|cable|addresses|telefonica|routed|leased line|communication|comcast|verizon|road runner|service provider|unknown|provider|t-mobile|wifi|telkom|sprint|at-t|residential|province|vodafone|clients|china|dial-up|netblock|wimax|wireless|elisa|sonera|dna oy|at&t|assigned|sl-cgn|block|consumers|kpn|telia|bredband|google|hosting|zscaler|city of|tdc|hubspot) 

Now the list of visiting companies should look a lot cleaner. If you wish to filter the results even further, e.g. only companies from a specific country, you should create a segment out of visitors from that country and look at the report again.

By default for each company in the list you can see how many sessions they have had during the selected time interval, how many pages they have visited and other metrics. When you click on one company, you can get to a more detailed report, like this one below.

In this view, select �Page Title� or �Page� as secondary dimension to know which pages the company has visited. This way you know what they have done on your website and what they were interested in. If they were visiting relevant product pages or they spent a lot to time on your site but didn�t contact you, maybe it�s a good lead for your outbound sales team to contact.


Using Network report to see what company did on the website

If you would really like to know what each company and their employees have done on your website, you can go to the brand new User Explorer report under the Audience section in Google Analytics. This report was introduced in Google Analytics in April 2016 and in the report you can dive into individual visitors and their behavior.

To know what a company did on your website, just create a segment where the Service Provider matches the company you are interested in (see below).

Using User Explorer to see visitors from one company

By doing this Google Analytics shows you Client IDs (anonymous and unique IDs of each visitor) from that company and by clicking one client ID (one user) you can see all the behavior of that user on your website. This way you can have a good understanding about what any given person from one specific company did on your website. Pretty powerful stuff, as you can see below.


Using User Explorer to see visits of one user

2. Using a custom Google Analytics report template tool

At Leadfeeder we created a ready-to-use Google Analytics custom report that anyone can take into use for free. Just click the link below and attach it as a custom report to the Google Analytics View you typically use: 

https://analytics.google.com/analytics/web/template?uid=zAQeJwWfT0yxlk8wfPWaGA 

When you click this link, you will be directed to Google Analytics and asked which view you want to attach it to. Remember that by default this custom report will be visible only for you. If other users want to use this report, they should also click the Add to Dashboard link above.


B2B Lead generation report by Leadfeeder

Our custom tool by default shows the most interested companies that have visited your website. To be more precise, this is a list of companies after ISP filtering (using the filter pasted above) sorted by pages / session, with the most interesting visits on top.

Typically companies that have spent a lot of time and loaded many pages are more interested than companies with many short visits. Once you click an interesting company, you can see a list of days on which they have visited. When you click even further into a specific date, you can see a breakdown of all the pages they visited. If page titles are not descriptive enough or not set, you can use �Page� as a secondary dimension to see page URLs (as shows below).


Using B2B Lead generation report by Leadfeeder

In the tool you can see several tabs that you can use (see above). The most interested companies tab is selected by default, but you can also select the second tab � companies with most visitors � that shows companies that have most visits on your website. Many times here you can find ISPs that were not filtered out along with other non-interesting companies. If you like, you can drill into details in the same way as in the first tab.

The 3rd and 4th tabs in the report are selectors that you can use to filter data. For example, if you are only interested in German companies, go to �Selector: Visitor location� tab and select Germany. After that click to the first tab to see the most interested companies from Germany. If you have a sales representative located in Germany searching for German leads, you can automatically have Google Analytics send this lead list by daily or weekly email.

Automating notifications from B2B Lead generation tool by Leadfeeder

Similarly, if your sales team�s responsibilities are divided by product, then sales reps might only be interested in leads that have visited certain product pages. Go to �Selector: Visited page� tab and select the product page each sales rep is interested in. Again, after making the selection, go to the first tab to see the list of the most interested companies visiting that product page and automate lead reports to your sales rep�s mailbox. You can also combine these selectors to create a list of companies from a specific country that have visited a specific product page.

3. Using Google Analytics with Leadfeeder for lead generation

Using the Google Analytics user interface for lead generation is possible as you can see, but not very salesperson-friendly.

 In order to better generate leads from your website for your sales department and do much much more, we created an online tool called Leadfeeder. Since Google Analytics is already collecting all the data about your website visitors, Leadfeeder fetches this data from Google Analytics API and does all the data crunching for you.

Leadfeeder lead generation main report

Once you sign up to Leadfeeder, it fetches all visitor data from your Google Analytics for the past 30 days. You don�t need to install any codes or script on your website; all you need to do is permit Leadfeeder to access your Google Analytics.

The web app filters out ISPs (a lot more than the Google Analytics filters shown in this post) handing you a clean list of companies. Once you see an interesting company and click on it, you see visit-by-visit, page-by-page what they have done on your website (as shown below). Leads are also enriched with additional company information such as company branch and size. With all this information it�s easier to determine whether the lead is interesting and whether they should be contacted.


Leadfeeder showing which pages a company has visited

Not all website visitors are interesting, so you can use custom feeds to filter out bounces and view only companies that have behaved in a way you find interesting. For example, you can define a custom feed rule to only show companies from a certain country, from a specific industry, companies that have visited a set number of pages and have visited a specific page but haven�t contacted you.

Using this kind of custom feed you can get a much more relevant list of leads for your sales team. In many companies sales responsibilities are divided by region or product so it�s good practice to make custom feeds for individual sales reps for only their areas of responsibility. Salespeople can subscribe to their personal custom feed to get daily or weekly email notifications about new companies that visit their website and match the set criteria. Understanding the online behaviour of your website visitors combined with knowing the location of the company visit gives sales reps powerful weapons for successful follow-up.


Using custom feeds in Leadfeeder to filter lead list

Seeing a qualified list of interested companies is already powerful, but this sales intelligence should fit within your existing sales process to be really useful. We know it�s the dream of many sales reps to have good leads magically appear in their CRM without the need to do anything, so that�s why at Leadfeeder we have built integrations to sync visitor data with your CRM.

The integration to Pipedrive and WebCRM are made two-way, which means that in Leadfeeder you can see CRM data for the visiting company, while in your CRM you can see all the website visits the company has made, once it�s been connected.

This makes it easier for sales reps to distinguish between new and old clients in Leadfeeder, create accounts and opportunities in their CRM with one click from Leadfeeder, and see in their CRM how prospects are interacting with their website.

Using CRM integration to sending leads from Leadfeeder to CRM

If you are not using a CRM at all, leads can also be sent to sales reps by email or you can assign leads for them to see inside Leadfeeder. It�s good practice to invite the whole sales team to use Leadfeeder with their own user profiles and it�s free to add users.

In addition, if you are using Mailchimp for email marketing, you can connect it to Leadfeeder to see in Leadfeeder what individuals do on your website when they click through from one of your MailChimp campaigns. This is possible because Mailchimp tags links uniquely for all recipients and Leadfeeder can transform these unique links into email addresses. This way you can know exactly who the visitor was on your website.

Leadfeeder offers a free 30-day trial with no credit card required, so if you are in B2B business and would like to get more sales leads, go and sign up at www.leadfeeder.com.

Conclusions

Web analytics has made marketing a lot more intelligent during the last 10 years, but similar development hasn�t transferred to sales.

Web analytics has enabled email tools to evolve into marketing automation by tracking what email clickers do on your website and triggering follow-up emails. Display marketing, similarly, has evolved into very efficient remarketing, where ads are shown to those who have completed action on your website.

In short, there are a lot of digital signals potential customers are giving all the time, but those haven�t been utilized well in sales so far. Many sales reps come to work, open their CRM and start calling through a lead list someone has given them. Meanwhile there are lots of potential customers browsing their website but sales reps aren�t aware of who they are. Our aim at Leadfeeder is to make sales more intelligent by providing salespeople actionable web analytics intelligence about potential customers, thereby making sales more effective.

Posted by Pekka Koskinen, Google Analytics Certified Partner

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 Kaushiks foreword starts things off with a constructive mindset, and Paul Murets 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. Youll be much more likely to drive, detect, and repeat your wins, both big and small, if you always know what youre 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 GTMs flexibility and power."

In addition to in-depth discussions about GTMs triggers, variables, and data layer, the book examines the relatively new and perhaps underutilized Environments feature.  While the publication schedule didnt allow direct inclusion of GTM Workspaces, the supplemental online materials offer a detailed Workspaces walkthrough. ?

As an illustration of Google Tag Managers 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 your data set and optimizing the reporting experience so your data speaks clearly and relevantly.  Custom dimensions and data import for your content, products, and back-end user classifications will let you build more meaningful and actionable narratives. Custom channels - for paid social traffic, as an example - will certainly yield much greater insights than default channel reporting. Alternate report displays and custom reports allow you to combine and isolate the metrics that are most important for the analysis at hand.

And dont fail to take full advantage of basic features such as secondary dimensions. The Landing Pages report is good by default; Landing Pages with Source/Medium applied as a secondary dimension might reveal a whole new secret.

5- Master the Basics for Advanced Benefits in GA 360, BigQuery & Integration 
The fundamental Google Analytics data collection and processing tactics remain as important in 2017 as ever.  You still need to implement event tracking, with a meaningful naming convention, to really understand user interaction. You must maintain consistency in campaign tagging for clarity in your Acquisition reports. In many cases, you still must apply view settings and/or filters to insure data quality in all of your Google Analytics reports.

The benefits of clean data, however, extend beyond the Google Analytics user interface.  If youre exporting to BigQuery (integration with BigQuery is enabled for Analytics 360 organizations) to analyze conversions over multiple sessions by different traffic channels, the campaign tagging and channel grouping work that you have already performed for your GA reporting will again prove critical.  If youre also pulling your CRM data into BigQuery to integrate with GA data and measure the effect of specific interactions � such as downloads, video views, or live chats � on customer lifetime value, youll be doubly glad that you took the time to properly implement your Google Analytics event tracking from the start.

Going forward, as we begin to navigate through dynamic visualizations in Google Data Studio and look towards advanced solutions such as Attribution 360 and Audience 360, the competitive advantage of good, consolidated Google Analytics data, as a dataset for complementary tools and environments, will only magnify.

"We dedicate the book to our contributors, to our clients, to the team at E-Nor, and especially to our coauthor and E-Nor cofounder Shiraz Asif, who passed away in March 2016 and will always be keenly missed." For more about Google Analytics Breakthrough: From Zero to Business Impact, visit www.gabreakthrough.com.

Posted by Feras Alhlou,  Principal Consultant and Co-founder of E-Nor, Inc., Google Analytics Partner

Hello, Im Mark Edmondson and I have the honour of being a Google Developer Expert for Google Analytics, a role that looks to help developers get the most out of Google Analytics. My specialities include Google APIs and data programming, which has prompted the creation of googleAnalyticsR, a new R package to interact with the recently released Google Analytics Reporting API V4.

R is increasingly popular with web analysts due to its powerful data processing, statistics and visualisation capabilities. A large part of R�s strength in data analysis comes from its ever increasing range of open source packages. googleAnalyticsR allows you to download your Google Analytics data straight into an R session, which you could then use with other R packages to create insight and action from your data.

As well as v3 API capabilities, googleAnalyticsR also includes features unique to v4:

•  On the fly calculated metrics 
• Pivot reports 
• Histogram data 
• Multiple and more advanced segments 
• Multi-date requests 
• Cohorts 
• Batched reports 

The library will also take advantage of any new aspects of the V4 API as it develops.

Getting started

To start using googleAnalyticsR, make sure you have the latest versions of R and (optionally) the R IDE, RStudio

Start up RStudio, and install the package via:

install.packages("googleAnalyticsR")

This will install the package on your computer plus any dependencies.

After successful installation, you can load the library via library(googleAnalyticsR), and read the documentation within R via ?googleAnalyticsR, or on the package website.

An example API call � calculated metrics

Once installed, you can get your Google Analytics data similarly to the example below, which fetches an on-the-fly calculated metric:

library(googleAnalyticsR)

# authenticate with your Google Analytics login
ga_auth()

# call google analytics v4
ga4 <- google_analytics_4(viewId = 123456,
                         date_range = c("2016-01-01",
                                       "2016-06-01"),
                         metrics = c(calc1=ga:sessions /
                                            ga:users),
                         dimensions = medium)

See more examples on the v4 help page.

Segment Builder RStudio Addin

One of the powerful new features of the v4 API is enhanced segmentation, however they can be complicated to configure. To help with this, an RStudio Addin has been added which gives you a UI within RStudio to configure the segment object. To use, install the library in RStudio then select the segment builder from the Addin menu. ?

Create your own Google Analytics 

Dashboards googleAnalyticsR has been built to be compatible with Shiny, a web application framework for R.  It includes functions to make Google Analytics dashboards as easy as possible, along with login functions for your end users. ?

Example code for you to create your own Shiny dashboards is on the website.

BigQuery Google Analytics 360 exports 

In addition to the v4 and v3 API functions, BigQuery exports from Google Analytics 360 can also be directly queried, letting you download millions of rows of unsampled data.

Aimed at analysts familiar with Google Analytics but not SQL, it creates the SQL for you to query common standard metrics and dimensions, using a similar interface as the API calls.  See the BigQuery section on the website for more details.

Anti-sampling 

To more easily fetch non-sampled data, googleAnalyticsR also features an anti-sampling flag which splits the API calls into self-adjusting time windows that are under the session sampling limit.  The approach used is described in more detail here.

Get involved 

If you have any suggestions, bug reports or have any ideas you would like to contribute, then you are very welcome to raise an issue or submit a pull request at the googleAnalyticsR Github repository, or ping me on Twitter at @HoloMarkeD.

Posted by Mark Edmondson, Google Developer Expert

Today, we�re glad to announce that we have self-certified our adherence to the EU-U.S. Privacy Shield framework.

The Privacy Shield establishes a new framework for transfers of personal data from Europe to the United States. It is a significant milestone for the protection of Europeans� personal data, legal certainty of transatlantic businesses, and trust in the digital economy.

From now on, Google has committed to applying the Privacy Shield�s principles and safeguards to EU-U.S. transfers of personal data, by default. No action is required on our customers� part. Google�s certificate will soon be accessible here.

UPDATE - Friday 23 September: Googles certificate is now accessible here.

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.



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. Youll 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

If youre in marketing or analytics, you know consumer behavior has shifted dramatically � mobile has created new opportunities for businesses to reach customers at the right moment with the right message at every step in the buyer journey. That�s why earlier this year, we launched the Google Analytics 360 Suite, a set of integrated data and marketing analytics products, designed specifically for the needs of enterprise-class marketers and data analysts.

Since this launch, we�re now excited to announce a series of improvements available to Suite customers. The Google Analytics 360 Suite houses vital data for marketers to understand how their marketing programs, websites, and apps are performing; carefully controlling access to this data and monitoring what happens with it is a top priority, and we�ve made solid improvements.

User management for your Organization

Managing users� access to your data and Suite assets is critical, and must be done in the context of your organization. The first step towards controlling your data access is to let us know which accounts your organization manages. Organization administrators can do this in the new Suite Home product: http://360suite.google.com/. Administrators will see an �Admin� tab, and underneath it lies the ability to link and verify all of your accounts with the Suite�s products to your organization:


Linked accounts must be verified before user management features will apply to them.

Centralized  User Auditing

Once you have linked and verified all of your accounts within Suite products, we compile a powerful user-auditing report for you. This report lists all users that have access to any of the accounts you linked across all Suite products. This is the only place where you can find a cross-product and cross-account list of users.


For each user in this report, we list rich data to help you make informed decisions about who has access to your corporate accounts. We show the user�s name and picture (when available), their Suite roles, and which products within your organization the user has access to. For all linked Google Analytics accounts, we show the last time the user accessed data from any of them.

Even more details can be loaded per user to show a summary of all the data that user has access to, such as how many properties or containers the user can access, whether the user is licensed for Data Studio, etc.

Filtering

You can use advanced filters to restrict data shown on screen; for example, you can show only users who haven�t accessed Analytics data over the last 6 months:

Remove Stale Users

Combining all of the actions above, you can complete an important task: identifying and removing stale users from your Analytics accounts (other Suite products to come in the future.) After you filter for only users who haven�t logged in recently, you can visit the details pane for those users and remove them from Analytics:

Change History

Suite Change History lets you keep track of when a change was made, who made the change, and what was changed. For example, you can easily see when someone linked a new account to your organization, added or removed users, changed the service level for an object, or changed the end date on an order. Having a record of these changes eliminates confusion over something like an increase in billing. Instead of wondering, you can search your change history to see that one of your administrators changed the service level for a property from Standard to 360, or made changes to the billing parameters. Access to change history is restricted to Owners.

Get Started: Complete your Suite Setup to Use these Features

Organization administrators can login to 360suite.google.com to complete their Suite setup and start using these features right now; contact your account manager if you�re not sure who your organization administrators are. Verify all accounts linked to your organization, then visit your Organization page in Suite Admin to enable the Suite experience today.

Put all these powerful administration features to use right now for your organization to tightly monitor & control access to your valuable data. We have many more improvements planned for the future; so stay tuned as we launch more, and truly bring an enterprise-grade experience to life in the Google Analytics 360 Suite.

Posted by Matt Matyas, Product Manager, Google Analytics

Welcome to the Google Marketing Next live stream! Tune in live at 9:00 a.m. PT/12:00 p.m. ET to learn about Google�s latest marketing innovations, the moment they�re announced.

Join the conversation at #GoogleMarketingNext.

 

Once you begin to leverage all that, you can get very insightful data. Until October 2015, Yet Another Mail Merge let you send up to 100 emails per day for free. But we�ve discovered with Analytics that most people sending more than 50 emails in one campaign were actually sending 100 emails - all the free quota they could get - but we failed to motivate them to switch to our paid plan.

Click for full-size version

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