Category Archives: Analytics

Better tools for teams of all sizes

We’ve heard feedback from businesses of all sizes that they need simpler ways to manage the analytics products they use and the team members who use them. That’s why we’re making new controls available to everyone who uses Analytics, Tag Manager, and Optimize and improving navigation for users of Surveys and Data Studio. These new features will help you more easily manage your accounts, get an overview of your business, and move between products.

Streamlined account management



With centralized account management, you can control user access and permissions across multiple products, like Analytics, Tag Manager, and Optimize.

The first step is to create an organization to represent your business. You then link this organization to all of the different accounts that belong to your business. You can also move accounts between the organizations you create.

Now you have a central location where administrators for your organization can:
  • Create rules for which types of new users should be allowed access to your organization
  • Audit existing users and decide which products and features they should have access to
  • Remove users who have left your organization or no longer need access to the tools
  • See the last time a user in your organization accessed Google Analytics data
  • Allow users to discover who are your organization’s admins and contact them for help


New home page



Setting up an organization also gives you access to a new home page that provides an overview of your business. You’ll be able to manage accounts and settings across products and get insights and quick access to the products and features you use most. For example, you might see a large increase in visitors for a specific Analytics property, and then click through to Analytics to investigate where the visitors are coming from.


Simplified navigation



Finally, you’ll get a unified user experience across products. Common navigation and product headers make it easy to switch between products and access the data you need. You can view accounts by organization, or see everything you have access to in one place. We’ve also redesigned search, making it possible to search across all of your accounts in a single place.


Get started



If your business would benefit from these features, please visit this page to get started. You can also check out the help center for more info.

These updates will be rolling out over the next few weeks, so please stay tuned if you don’t yet have access.

Note: If you’re using the enterprise versions of our products, like Analytics 360, you already have access to these features as part of the Google Analytics 360 Suite.


Referensi: Google Analytics Blog - Better tools for teams of all sizes.


New: Streaming Google Analytics Data for BigQuery

Streaming data for BigQuery export is here.

Today we're happy to announce that data for the Google Analytics BigQuery export can be streamed as often as every 10 minutes into Google Cloud.

If you're a Google Analytics 360 client who wants to do current-day analysis, this means you can choose to send data to BigQuery up to six times per hour for almost real-time analysis and action. That’s a 48x improvement over the existing three-times-per-day exports.

What can I do with streaming data delivery?
Many businesses use faster access to their data to identify and engage with clients who show an intent to convert.

For example, it's well known that a good time to offer a discount to consumers is just after they've shown intent (like adding a product to their cart) but then abandoned the conversion funnel. An offer at that moment can bring back large numbers of consumers who then convert. In a case like this, it's critical to use the freshest data to identify those users in minutes and deploy the right campaign to bring them back.

More frequent updates also help clients recognize and fix issues more quickly, and react to cultural trends in time to join the conversation. BigQuery is an important part of the process: it helps you join other datasets from CRM systems, call centers, or offline sales that are not available in Google Analytics today to gain greater context into those clients, issues, or emerging trends.

When streaming data is combined with BigQuery's robust programmatic and statistical tools, predictive user models can capture a greater understanding of your audience ― and help you engage those users where and when they’re ready to convert. That means more sales opportunities and better returns on your investment.

What's changing?
Those who opt in to streaming Google Analytics data into BigQuery will see data delivered to their selected BigQuery project as fast as every 10 minutes.

Those who don't opt-in will continue to see data delivered just as it has been, arriving about every eight hours.

Why is opt-in required?
The new export uses Cloud Streaming Service, which costs a little extra: $0.05 per GB (that is, "a nickel a gig"). The opt-in is our way of making sure nobody gets surprised by the additional cost. If you don't take any action, your account will continue to run as it does now, and there will be no added cost.

What data is included?
Most data sent directly to Google Analytics is included. However, data pulled in from other sources like AdWords and DoubleClick, also referred to as “integration sources”, operate with additional requirements like fraud detection. That means that this data is purposefully delayed for your benefit and therefore exempt from this new streaming functionality.

For further details on what is supported or not supported, please read the help center article here.

How do I get started?
You can start receiving the more frequent data feeds by opting in. To do so, just visit the Google Analytics BigQuery linking page in the Property Admin section and choose the following option:

You can also visit our Help Center for full details on this change and opt-in instructions.


Referensi: Google Analytics Blog - New: Streaming Google Analytics Data for BigQuery.


Google Analytics is enhancing support for AMP on cache

With users getting more and more impatient with slow mobile pages, developers are increasingly investing in a faster web experience with solutions like Accelerated Mobile Pages (AMP). Billions of AMP pages have been published by all kinds of mobile sites – from news to recipes to e-commerce. With so much AMP content being published every week, Google Analytics continues to evolve to support those of our customers who have adopted AMP.

Today we are excited to be the first supporting vendor to announce a new service, Google’s AMP Client ID API, that will enable the same benefits for AMP pages displayed via Google surfaces. In May of this year we launched a solution to help you better understand your customers’ journeys across AMP and non-AMP experiences that were hosted on your own domain. Google’s AMP Client ID API will enable the same benefits for AMP pages displayed by Google such as in Google Search.

How will this work? 

This solution works by allowing your web pages, which may be partially served on Google platforms and partially on your domain, to communicate with each other. This communication happens via a newly introduced Google API and with Google Analytics such that it can understand if a user on your non-AMP pages had ever visited an AMP page displayed by Google. When true, Google Analytics can help you understand user behavior across these two page types as a single cohesive experience. 

To get started you’ll have to opt-in to this solution via a code change. The small code change is required on both your AMP and non-AMP websites to enable this as well as an acknowledgement of the new Google Analytics terms for usage of this API.


When will this happen? 

The ability to opt-in to this solution is available today and you can find code instructions and new terms here. Please review the documentation and opt-in when you are ready.

Are there any other implications of this change? 

Once you opt-in to this solution you will notice changes to some of your metrics. Your user and session metrics will drop down to more accurate counts as formerly distinct users are recognised as the same person, as well as related metrics that will also become more accurate (such as Time on Site and Bounce Rate). And New Users may rise temporarily. This is a function of the product more accurately counting your users. It's a one-time effect that will continue until all your users who have viewed AMP pages in the past return to your site (this can take a short or long period of time depending on how quickly your users return to your site/app). To get more detail about what may change, please read our help center article.

Opt into this new feature today to get deeper insight into how users are interacting with your AMP pages.

Happy Analyzing!


Referensi: Google Analytics Blog - Google Analytics is enhancing support for AMP on cache.


Ask a question, get an answer in Google Analytics

What if getting answers about your key business metrics was as easy as asking a question in plain English? What if you could simply say, "How many new users did we have from organic search on mobile last week?" ― and get an answer right away?

Today, Google Analytics is taking a step toward that future.  Know what data you need and want it quickly? Just ask Google Analytics and get your answer.
This feature, which uses the same natural language processing technology available across Google products like Android and Search, is rolling out now and will become available in English to all Google Analytics users over the next few weeks.
The ability to ask questions is part of Analytics Intelligence, a set of features in Google Analytics that use machine learning to help you better understand and act on your analytics data. Analytics Intelligence also includes existing machine learning capabilities like automated insights (now available on both web and the mobile app), smart lists, smart goals, and session quality.

How it Works
We've talked to web analysts who say they spend half their time answering basic analytics questions for other people in their organization. In fact, a recent report from Forrester found that 57% of marketers find it difficult to give their stakeholders in different functions access to their data and insights. Asking questions in Analytics Intelligence can help everyone get their answers directly in the product ― so team members get what they need faster, and analysts can spend their valuable time on deeper research and discovery.
Try it! This short video will give you a feel for how it works:
“Analytics Intelligence enables those users who aren’t too familiar with Google Analytics to access and make use of the data within their business’ account. Democratising data in this way can only be a good thing for everyone involved in Google Analytics!”
Joe Whitehead, Analytics Consultant, Merkle | Periscopix


Beyond answering your questions, Analytics Intelligence also surfaces new opportunities for you through automated insights, now available in the web interface as well as in the mobile app. These insights can show spikes or drops in metrics like revenue or session duration, tipping you off to issues that you may need to investigate further. Insights may also present opportunities to improve key metrics by following specific recommendations. For example, a chance to improve bounce rate by reducing a page's load time, or the potential to boost conversion rate by adding a new keyword to your AdWords campaign.

To ask questions and get automated insights from Analytics Intelligence in our web interface, click the Intelligence button to open a side panel. In the Google Analytics mobile app for Android and iOS, tap the Intelligence icon in the upper right-hand corner of most screens. Check out this article to learn more about the types of questions you can ask today.

Help us Learn
Our Intelligence system gets even smarter over time as it learns which questions and insights users are interested in. In that spirit, we need your help: After you ask questions or look at insights, please leave feedback at the bottom of the card.

Your answers will help us train Analytics Intelligence to be more useful.

Our goal is to help you get more insights to more people, faster. That way everyone can get to the good stuff: creating amazing experiences that make customers happier and help you grow your business.
Happy Analyzing!


Referensi: Google Analytics Blog - Ask a question, get an answer in Google Analytics.


Firebase Analytics Gets New Features and a Familiar New Name

Can it be just a year since we announced the expansion of Firebase to become Google's integrated app developer platform at I/O 2016? That Firebase launch came complete with brand new app analytics reporting and features, developed in conjunction with the Google Analytics team.

Now, at I/O 2017, we're delighted to announce some exciting new features and integrations that will help take our app analytics to the next level. But first, we’d like to highlight a bit of housekeeping. As of today, we are retiring the name Firebase Analytics. Going forward, all app analytics reports will fall under the Google Analytics brand.

This latest generation of app analytics has always, and will continue to be, available in both the Firebase console and in Google Analytics. We think that unifying app analytics under the Google Analytics banner will better communicate that our users are getting the same great app data in both places. In Firebase and related documentation, you'll see app analytics referred to as Google Analytics for Firebase. Read on to the end of this post for more details about this change.

One other note: The launches highlighted below apply to our latest generation of app analytics – you need to be using the Firebase SDK to get these new features.

Now let’s take a look at what’s new.

Integration with AdMob
App analytics is now fully integrated with AdMob. Revenue, impression and click data from AdMob can now be connected with the rest of your event data collected by the Firebase SDK, all of it available in the latest Google Analytics app reports and / or in the Firebase console.

For app companies, this means that ad revenue can be factored into analytics data, so Analytics reports can capture each app’s performance. The integration combines AdMob data with Analytics data at the event level to produce brand new metrics, and to facilitate deep dives into existing metrics. You can answer questions like:
  • What is the true lifetime value for a given segment, factoring in both ad revenue and purchase revenue?
  • How do rewarded ads impact user engagement and LTV?
  • On which screens are users being exposed to advertising the most or the least?
With this change, you can now have a complete picture of the most important metrics for your business ― all in one place.

Custom parameter reporting
"What's the average amount of time users spend in my game before they make their first purchase?" Many of you have asked us for the ability to report on specific data points like these that are important to your business.

Custom parameter reporting is here to make that possible. You can now register up to 50 custom event parameters and see their details in your Analytics reports.
  • If you supply numeric parameters you’ll see a graph of the average and the sum of that parameter.
  • If you supply textual parameters you’ll see a breakdown of the most popular values.
As with the rest of your Analytics reports, you can also apply Audience and User Property filters to your custom parameter reports to identify trends among different segments of your userbase.

To start using custom parameter reporting for one of your events, look for it in the detail report for that event. You'll see instructions for setting things up there.

Integration with DoubleClick and third-parties – Now in Beta
We're also pleased to announce a new integration with both DoubleClick Campaign Manager and DoubleClick Bid Manager. Firebase-tracked install (first open) and post-install events can now easily be imported back into DoubleClick as conversions.

This is a boost for app marketers who want a clearer view of the effect their display and video marketing has on customer app behavior. Advertisers can make better decisions (for all kinds of ads, programmatic included) as they integrate app analytics seamlessly with their buying, targeting and optimization choices in DoubleClick.

We also know that some of you use advertising platforms beyond AdWords and DoubleClick, so we continue to invest in integrating more third-party networks into our system. (We're now at 50 networks and growing). The goal: to allow app data from all your networks to come together in Google Analytics, so you can make even better advertising choices using all the data you collect. Learn more.

Real-time analytics for everyone
Google Analytics pioneered real-time reporting, so we know how important it is for our customers to have access to data as it happens. That’s why we’re so excited by the real-time capabilities we’ve introduced into our latest app reports. To refresh an announcement we made in March: StreamView and DebugView are now available to the general public. These features allow you to see how real-world users are interacting and performing with your app right now.

StreamView visualizes events as they flow into our app reporting to give you a sense of how people around the world are using your app, right down to the city level. Then Snapshot lets you zoom-into a randomly selected individual user’s stream of events. And DebugView uses real-time reporting to help you improve your implementation – making it easy for you to make sure you’re measuring what you want how you want. DebugView is a terrific tool for app builders that shows you events, parameters and user properties for any individual development device. It can also highlight any events that contain invalid parameters.

Same product, familiar new name
As mentioned above, we're rebranding Firebase Analytics to make it plain that it's our recommended app analytics solution, and is fully a part of the Google Analytics family.

Our latest reports represent a new approach to app analytics, which we believe better reflects the way that users interact with apps. This means that these reports have different concepts and functionality when compared to the original app analytics reports in Google Analytics.

If you're used to using the original app analytics reports in Google Analytics, don’t worry: they're not going anywhere. But we recommend considering implementing the Firebase SDK with your next app update so you can start getting the latest features for app analytics.

Good data is one thing everyone can agree on: developers and marketers, global firms and fresh new start-ups. We've always been committed to app-centric reports, because analytics and data are the essential beginning to any long-term app strategy. We hope that these new features will give you more of what you need to build a successful future for your own apps.


Referensi: Google Analytics Blog - Firebase Analytics Gets New Features and a Familiar New Name.


Google Analytics is Enhancing Support for AMP

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 we're 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!


Referensi: Google Analytics Blog - Google Analytics is Enhancing Support for AMP.


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

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 broken
  • Detect 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 wait
Brands 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 first
As 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.


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


Using the Customer Voice to Speed Up Decision Making

Making important business decisions is often a slow process, regardless of industry or company size. In a world where innovation is increasingly important, speed is a necessity. But how does an organization streamline its decision-making process? For many companies, the answer is data. In fact, highly data-driven organizations are three times more likely than others to report significant improvement in decision-making, according to PwC research.1

When looking for meaningful insights to drive innovation and growth, market research is often a go-to data source. The problem many companies face is that market research can feel like a roadblock because it can take months to get the data.

At Lenovo, the leading PC manufacturer worldwide, constantly evolving and improving products is required to remain competitive. “We have to make decisions today for products two years from now,” says Sarah Kennedy, User Experience Researcher at Lenovo. To keep the decision-making process moving, Sarah’s team uses Google Surveys 360 for fast and accurate data. Bringing consumer insights to the table in the early stages of product development helps her team get buy-in from senior stakeholders at a faster pace. “Within seven days, we can get results that would normally take us a month,” says Sarah. 


"We put an emphasis on innovation. Collecting competitive data and industry benchmarks is critical to do this. Surveys 360 helps us get data on the current state of the market. The results are reliable and delivered at the speed we need so our teams can continue developing the best products without delay." 

– Corinna Proctor, ‎Director of User & Design Research, Lenovo 


Google Surveys 360 provides businesses with the data they need quickly, accurately, and affordably. Choose your target audience, write your survey, and get answers in as little as three days. Get started today.

Happy surveying!

1PwC's Global Data and Analytics Survey, Big Decisions™, Base: 1,135 senior executives, Global, May 2016


Referensi: Google Analytics Blog - Using the Customer Voice to Speed Up Decision Making.


Data Studio: DoubleClick Campaign Manager Connector

Google Data Studio (beta) allows users to connect, transform, visualize, and share data no matter where it lives. Today we are happy to announce that DoubleClick Campaign Manager (DCM) customers can pull their data into Data Studio dashboards instantly!


With this new connector, DCM customers no longer need to import data into spreadsheets. Users can now quickly create dashboards with over 50 DCM metrics and dimensions. These dashboards are an effective way to track and optimize campaign performance and share reports with client and agency stakeholders.

Creating a new report with DCM data
Ready to get started? The first step is to connect to your DCM network or advertiser through the Data Sources page.



Next you can create a new report from scratch or use our DCM template. With just a few clicks, the dashboard is populated with your data.

Want to learn more? Looking for a new connector in Data Studio?

To learn more about the new DCM 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!

The Data Studio team


Referensi: Google Analytics Blog - Data Studio: DoubleClick Campaign Manager Connector.


Introducing the Firebase Demo Project

"All genuine learning comes from experience" - John Dewey
Earlier this year we introduced Firebase: a unified app platform for Android, iOS and mobile web development. It includes tools to help you develop faster, improve app quality, acquire and engage users, and monetize apps. There are many resources available to learn Firebase, from documentation, guides and free training courses (Android and iOS) we created, to advice from the Firebase community. However, there is nothing quite like learning through practical experience. To address this we’ve launched a fully functional Firebase Demo Project, available to everyone from today (get access here).

The Demo Project includes data from Flood It! (Android and iOS), a real puzzle game in which you have to flood the whole game board with one color in less than the allowed steps. Therefore, the data in the Firebase demo project is typical of what you might see for a gaming app with in-app purchases. It includes the following kinds of information:
  • Analytics: Attribution data, key events, cohorts and funnel reporting. This includes data about first opens (think of these like installs), in-app purchases, and more.
  • Remote Config: The parameters that control the app experience as well as the conditions which define which users receive which parameter values.
  • Test Lab: The automated test results from running the app on numerous device/OS combinations for quality assurance purposes.
  • Crash: Details on various crashes which have occurred in the app, including callstacks and device information.
  • Notifications: The notification campaigns that were sent to users to re-engage them. This includes data about the number of messages sent, opened and the number of conversions attributed to each campaign.

Firebase Demo Project: Analytics Dashboard
"Since the launch of Firebase we have been excited to continually build hands-on experience with its many features. Especially with the freely included and unlimited analytics solution for mobile apps, Firebase Analytics. The Firebase Demo Project has helped our team do just that and similar to what we've done with the Google Analytics Demo Account, we've incorporated the Firebase Demo Project within our training programs. This plays a critical part in helping our clients maximise their familiarity with Firebase." - Ben Gott, Analytics Director, Periscopix
Self-Learning

The Demo Project is useful for exploring Firebase features and reports. Here are a few things you can do with it:

  • View all standard Analytics reports populated with real data from the Flood It! app
  • Dissect Analytics reports by applying a variety of filters
  • See which ad campaigns are driving the most valuable users to the app
  • Track crashes and their impact on end users, and understand the steps that led to them
  • See the full notifications funnel for notifications sent from the Firebase Console
  • View Remote Config parameters to see how values are varied based on targeting parameters, especially feature flags and percent targeting for staging and Analytics audience targeting for customization
  • See test results from testing the app on real physical and virtual devices in the Firebase Test Lab

Education Programs
If you’re an educator trying to teach others to use Firebase then we encourage you to use the Demo Project within your course. For example, you can create practical exercises that students can complete using the Demo Project.

Access the Demo Project
You can get access to the Demo Project and learn more about it, from this help article. If you need some help, or have ideas to make the Demo Project more useful, please share it with the Google Analytics Community. We hope the Demo Project gives you a practical way to try new features and learn about Firebase.

Happy analyzing!
Posted by Deepak Aujla & Steve Ganem, Google Analytics team

Referensi: Google Analytics Blog - Introducing the Firebase Demo Project.