Supporting A Modern Browsing Experience

To focus on supporting modern browsers, we are deprecating official compatibility of Google Analytics with Microsoft Internet Explorer 8 (IE8) at the end of 2013. We decided to do this to both accelerate the pace at which we can innovate new product features, and to facilitate adoption of newer web technologies in the design of the Google Analytics product. Our ultimate goal is to provide a superior user experience for every GA user. As a note, we’ll of course continue to measure traffic from IE8 browsers to your website. 

We will continue to support the latest versions of Chrome, Firefox, Internet Explorer 9 or higher, Safari and other modern browsers. 

It is our hope that giving you more than 3 months to prepare for this change will minimize disruption to Google Analytics usage for you and your business. We will send further reminders prior to the deprecation at the end of the year, but we strongly advise you begin preparing and implementing plans for this change at your earliest convenience.

Posted by the Google Analytics Team

Introducing Google Tag Manager for Mobile Apps & New Google Analytics Services SDK

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

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

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

Just like on the web, Google Tag Manager continues to be a free product, streamlining the process of adding “tags” to your native iOS and Android apps, making it both easy and accountable. Measuring key events is now as simple as 1-2-3:

1. Include the new Google Analytics Services SDK (Android, iOS) in your app. This new unified SDK includes both Google Tag Manager and Google Analytics functionality while sharing a common framework.
2. Push interesting and important events to the Data Layer. Once events are registered on the data layer, they can be used to trigger Google Tag Manager Tags and Macros. 
3. Use Google Tag Manager’s web-based interface to write Rules and determine when various Tags should fire.

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

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

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

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

Google Analytics Launches Real Time API In Beta

When we first launched Real Time Analytics 2.5 years ago we set out to enable marketers to take real-time action against their data. Manually taking action and being informed about the immediate performance of your site is fantastic, however it’s not realistic to sit at your computer 24/7 and take advantage of these insights. Also and perhaps more importantly, your reflexes can never be as fast as computers. So the next logical step has always been to programmatically take action using real-time analytics. Towards that end, we’re pleased to announce an invitation to join the beta for the Real Time Reporting API!

This means you can now make queries about your real-time data and use that information in whatever way you please. One of the immediate use cases is to manage the content on your webpage. For example, you can query the API for the top visited URLs to construct a top trending content widget with the number of active readers. A site can also use what I call the “web counter 2.0”, meaning to display the active visitor count in real-time. Seeing the number of visitors also viewing a piece of content has a number of subtle effects such as creating a sense of community and credibility. 

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

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

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

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

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

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

Happy Real Timing!

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

Bid Adjustment Reporting in Google Analytics

Our constantly connected world presents a great opportunity for marketers to be more effective and relevant to customers by optimizing for context -- device, location and time. Earlier this year, we launched enhanced campaigns to help advertisers take advantage of these new opportunities and manage their ad campaigns more effectively. Bid adjustments make it easy to raise or lower your bids based on user context.

To help you optimize your bid adjustments, we're introducing bid adjustment reporting in Google Analytics, allowing you to analyze performance for each of your bid adjustments across devices, locations, and time of day. You can access the new report by going to Traffic Sources > Advertising >AdWords and clicking the Bid Adjustments link.

With the new Bid Adjustments report, you can take advantage of the full range of visitor metrics available in Google Analytics to optimize your bid adjustments. This provides a window into your users’ behavior, allowing you to optimize bid adjustments based on behavior & goal conversion data like bounce rate and time-on-site.

In addition, with Ecommerce tracking enabled in GA, you can now use this data to fine-tune your bid adjustments in AdWords based on the actual revenue generated, instead of conversions. This means you can optimize for ROI instead of CPA goals.

A quick example illustrates this (illustrated in the above screenshot). Imagine a hotel chain has set Time bid adjustments of +20% on Saturday and Sunday after observing a better ROI on those days. Using this new report in GA, the hotel chain now observes that their ROI on Sundays is actually higher than on other days of the week. The hotel chain's analyst finds that customers book more expensive rooms and longer stays on Sundays. Using this information, the hotel chain increases its existing Time bid adjustment for Sundays.

This new bid adjustment report is available in all Analytics accounts that are linked to AdWords. We recently made it much easier to link your accounts, so now is a great time to do so if you haven’t already. 

Posted by Nikhil Roy, Product Manager, Google Analytics Team

Re-imagining Segmentation In Analytics To Help You Make Better Decisions, Faster

One of the most popular and powerful features in Google Analytics is Advanced Segmentation. It lets you isolate and analyze subsets of your traffic. You can select from predefined segments such as "Paid Traffic" and "Visits with Conversions" or create your own segments with a flexible, easy-to-use segment builder. Then, you can apply one or more of these segments to current or historical data, and even compare segment performance side by side in reports. 

We’ve recently re-imagined segmentation to make it even easier for new Analytics users, yet also more powerful for seasoned analysts and marketers.

Some of the key updated features include: 

User segmentation

Previously, advanced segments were based on visits. With the new segment, a new option is provided to create user segment. In a user segment, all visits of the users who fit the segment criterias will be selected (such as specific demographics or behaviors). It will be a useful technique when you need to perform user level analysis. 

When you are using a segment template, the text below the template name tells you which kind of segment you are building. When you are creating a segment from advanced ‘conditions’ and ‘sequences’, you can choose to create visits or user segments or even a combination of both. 

Cohort analysis

Measuring users in cohorts provides benefits in the consistency of analysis, and is a technique well applied in the offline world. It helps analyze the long-term benefit of specific groups of customers (for example, customers who first visited within a specified timeframe).

Sequence segment

Sequence segments provide an easy way to segment users based on a series of on site behaviors. For example, customers who started on a specific landing page, visited some particular pages and ended up converting.  User sequences now provide you with capability to define a sequence across multiple visits.

Segment templates

You can always build your segments from scratch, but for most common use cases, building segments from templates will be an easier choice. We have provided 6 templates as ‘Demographics’, ‘Technology’, ‘Behavior’, ‘Data of First Visit’, ‘Traffic Sources’ and ‘E-commerce’ for you to start with. You can combine the configuration in multiple templates to build a segment. 

Fully refreshed new UI

As seen above, the newly refreshed UI makes segmentation simple and makes this powerful feature even more useful. The new segment card design promotes segmentation as a critical analytics technique with better visibility and readability. For users maintaining a fair number of segments, new features are provided to filter, sort and search your segments in both grid view and list view.

The new segmentation version will be rolling out to all users over the next couple of months. View our help center article for more details on how to get started and check out our Analytics Evangelist Justin Cutroni’s blog for a post sharing more reasons to get excited about the new segmentation.

Additionally, the below video provides a quick overview:

Posted by Wayne Xu, Google Analytics team

Creating a Standard Data Layer for the Tag Management Industry

It’s been an exciting few months for Google Tag Manager. As referenced in our previous post this morning, Google Tag Manager is now serving twice the amount of traffic it was in April 2013 and we have been steadily adding features. Recently, at Google I/O, we announced that  Google Tag Manager will also work with mobile applications. 

This week, a consortium of companies, including IBM, Accenture and more, along with the W3C, announced they are collaborating to create a standard Data Layer.  

The data layer is a core component of Google Tag Manager and a common way for all businesses to implement tag management tools. It’s a standard way to format data within a web page.  Think of the data layer as a central way for analytics and marketing tools to communicate and share data on a web page. 

It's typically used in two ways: 1. to store data and provide a clear separation between the data and presentation layer of the page and 2. to store data when some type of user activity occurs.  The information in the data layer can then be consumed by different web technologies, like analytics tools or marketing tools, through a tag management platform.

Through the W3C community group we’re supporting the effort to standardize the format and syntax of the data layer. This will make it a lot easier for businesses to add data to HTML  and access it with different tools. An industry-wide standard will create a common way that websites and tag management tools can interact - thus making it easier on site owners.

Standards can not exist in a vacuum. They need adoption. Please take some time to learn about this effort and the specification. You can learn more about the work at the W3C Customer Experience Digital Data Standard Community Group site where you can also review the first draft of the Specification. If you’re interested in participating please join the group and help us test and refine the spec.

Posted by Brian Kuhn, Lukas Bergstrom & Justin Cutroni, Google Tag Manager Team

Introducing the Google Databoard: A new way to explore research

The following was originally posted to the Inside AdWords blog.

It’s important for businesses to stay up to date about the most recent research and insights related to their industry. Unfortunately -- with so many new studies and with data being updated so often -- it can difficult to keep up. To make life a bit easier, we created the Databoard for Research Insights, which allows people to explore and interact with some of Google’s recent research in a unique and immersive way. 

The Databoard is our response to three big challenges facing the vast majority of research released today. 

1. Ease of consumption: The databoard introduces a new way of sharing data, with all of the information presented in a simple and beautiful way. Users can explore an entire study or jump straight to the topics or datapoints that they care about. The Databoard is also optimized for all devices so you can comfortably explore the research on your computer, tablet, or smartphone. 

2.  Shareability: Most people, when they find a compelling piece of data, want to share it! Whether its with a colleague, client, or a community on a blog or social network, compelling insights and data are meant to be shared. The databoard is designed for shareability, allowing users to share individual charts and insights or collections of data with anyone through email or social networks. 

3. A cohesive story: Most research studies set out to answer a specific question, like how people use their smartphones in store, or how a specific type of consumer shops. This means that businesses need to look across multiple pieces of research to craft a comprehensive business or marketing strategy. To address this need, the Databoard allows users to curate a customized infographic out of the charts or data points you find important across multiple Google research studies. Creating an infographic is quick and easy, and you can share the finished product with your friends or colleagues. 

The databoard is currently home to four research studies including The New Multi-screen World, Mobile In-store shopper research, Mobile search moments, and more. New studies will be added frequently so be sure to check back often. To get started exploring the Databoard and creating your own infographic visit google.com/think/databoard. 

Posted by Adam Grunewald, Mobile Marketing Manager

New AdWords Integration Platform

Advertisers like to see reports in Analytics which are fresh - reflecting their up-to-the-minute AdWords settings - and consistent with the AdWords reporting. Today, Google Analytics is excited to announce that it is rolling out a new AdWords integration infrastructure for our advertisers to realize these benefits. More importantly, the new integration is laying a foundation for adding new AdWords dimensions quickly -  such as Ads - and paving the path for a rich set of reports such as enhanced campaign bid adjustments and Google Display Network targeting settings. Highlighted below are a few ways in which the new platform will start impacting AdWords reports in Google Analytics.

Improved data freshness and consistency

With the new infrastructure, reports will reflect the most recent AdWords settings such as campaign or ad_group names keeping them fresh and consistent with AdWords. In the example below, a user has renamed their campaign thrice from “Big Deal”   “Big Deals”   “Big Deal - Car Accessories”. In the current reports, visits are attributed to the three different campaign names while clicks are attributed to the newest campaign name. After this change,  both visits and clicks metrics would be associated with the most recent campaign name: “Big Deal - Car Accessories”, thus collapsing multiple rows into a single row.

Current Behavior

Campaign	Visits	Impressions	Clicks
Big Deal	542	0	0
Big Deals	381	0	0
Big Deal - Car Accessories	72	68724	1023

New Behavior

Campaign	Visits	Impressions	Clicks
Big Deal - Car Accessories	995	68724	1023

Laying the foundation for richer reporting

The new integration is laying the foundation for adding new AdWords dimensions quickly and for creating new reports with speed. Very soon, advertisers would be able to access reports based on their Enhanced Campaigns’ targeting settings; reports containing rich information to help fine tune ads targeting settings and bid adjustments for improved ROI (Return On Investment).

Show and hide AdWords data via linking

The new integration allows users to show or hide data for auto-tagged AdWords accounts by linking or unlinking the account to a profile. If a user un-links an Adwords account from a profile, all historical data pertaining to the account would be hidden by rolling them up into (not set).

Over the next few weeks, the new AdWords integration platform will be rolled out to GA accounts gradually.

Posted by Narendra Singhal, Google Analytics Team

Streamlining Google Analytics Administration Experience

We’re proud to announce the launch of a dramatically streamlined user experience for managing Google Analytics administrative settings! When visiting the Analytics Admin tab, you will now find all major settings readily accessible from this new landing page. As we launch over the coming weeks, here’s what you’ll see:

Google Store admin shown as a sample (click above image for full-size)

Settings are organized into columns corresponding to the most prominent objects in Analytics: accounts, properties, and views (formerly called profiles). A single account, property, and view will be selected, and you may change these via the drop downs atop each column. We are also renaming profiles to views to most closely match the present and future meaning of what this object represents: a view of the data Analytics collected for your property.

We’ve made a number of additional enhancements. To create a new account, property, or view, click the appropriate menu in the column heading and you’ll see an option to create a new object. You can load any settings page by clicking the appropriate name or icon. You'll notice animations that simplify the display of information, and you'll see new headers along with new navigational links on the left.

Help content has moved to the “Help” tab near the top right corner of the page. We’ve also refreshed the help content to make account administration easy to understand.

This is a large change over the old administrative user experience. For example, getting to property settings now takes just one click but used to take three. Simply compare the new look and feel above to the old:

Experience simplified navigation, faster account configuration, and the power of having all settings at your fingertips.

Posted by Scott Bailey and Matt Matyas, Google Analytics Team

Google Analytics Becomes A Robust Testing Platform With Content Experiments API

Our Analytics API enables marketers and developers to experiment and build new tools powered by Google Analytics. Over the past year, we’ve listened to your feedback and made improvements to the API such as expanding data points available and integrating with Apps Script. Our goal is to provide the most flexible and useful Analytics API on the web enabling you to do everything from build great apps to automate / expedite busywork. 

Today, we’re excited to share the launch of an API for Content Experiments — our tool for easily testing site content with programmatic optimization to achieve Analytics objectives. This API makes Google Analytics a full-blown A/B testing platform where developers of all types can leverage the power of Google Analytics to run their experiments. By utilizing our multi-armed bandit approach, you can maximize results by efficiently determining which assets on your site perform best to offer an improved experience for users. Multi-armed bandit experiments are powerful and efficient tools and with the new Content Experiments API, you can get even more from them.

The Content Experiments API allows you to pick and choose from all the testing functionality Google Analytics has to offer and to combine it into powerful solutions that best fit your particular needs:

Testing changes to content without redirects. 

The original Content Experiments JavaScript snippet made testing a breeze. To keep things simple and consistent for all publishers, the snippet causes a page redirect which may take away from the end user experience in certain cases. Now, with the new Content Experiments API, testing changes to content without redirects is both possible and easy to implement.

Testing items server-side such as the result set of a database query.

Major testing platforms typically offer changes on the client-side but not server side. With Content Experiments API you can now run tests on the server side and try things like implementing different recommendation or search algorithms to determine what works best for your site.

Testing with your own variation selection logic and use Google Analytics for reporting.

While the multi-armed bandit approach to experimentation is one of Content Experiments most powerful features, there are times where publishers and developers would prefer to decide for themselves how to serve variations - be it evenly or using proprietary logic. The Content Experiments API makes it possible for you to bypass our programmatic optimization while allowing you to continue to enjoy the powerful experiment reporting Google Analytics provides.  

Testing in non-web environments using measurement protocol.

For example, if you have a kiosk in your physical location (such as airline terminal or retail store) you can test different layout variations of content and features and determine what users can complete quickest or at highest value.

Developers are already putting the Content Experiments API to work and we’ve been hearing great feedback. Paras Chopra, Founder & CEO of  Visual Website Optimizer reports:

"We're thrilled about the possibilities opening up with the new Content Experiments API. This new API is specially designed to infuse the powers of Google Analytics into testing and experimentation domain. We're very proud to be one of the beta-testers with Google and soon we will start rolling out the integration of Visual Website Optimizer with Google Content Experiments across our joint customer base. When Google releases an API, it's a big move for the A/B testing industry and we're excited to be their launch partners."

Learn how to get started with our Content Experiments API on our developer site or if you’re still new to the platform, get an overview of Content Experiments in our help center.

Happy testing & experimentation! 

Posted by Russell Ketchum, Google Analytics Team