Category Archives: Features

Avvo Gains New Insights with Data Import

Companies use many systems to run their business. These may include multiple web advertising networks, CRM and content publishing systems, point of sale systems, inventory databases, etc. Integrating the data from these systems with Google Analytics provides a better understanding for how your customers behave on the web. 

At the 2014 Analytics Summit we announced the new Data Import. Data Import helps unify data from your different business systems, allowing you to organize your data the same way your business is organized. This will allow for more accurate analysis and bringing together previously disparate datasets into one complete picture. Using Data Import, you can upload your brand’s existing data into Google Analytics and join it with GA data for reporting, segmentation and remarketing.

By using the Data Import functionality in Google Analytics Premium, consumer legal services brand Avvo created clear, accurate data, which continues to impact decisions across their organization. While Avvo already had a successful and fast-growing business, the lack of visibility into advertising success made it hard to align key revenue opportunities with actual site usage. Read the full case study here.

“We’ve been very pleased with the results that were realized using Data Import in Google Analytics to analyze client behavior on our website. This exercise has given us better insight into valuable data that will ultimately impact how we segment the market for legal services.” 
- Sendi Widjaja, Co-Founder & CTO, Avvo, Inc.

Data Import also now supports a new Query Time mode that allows you to join your data with historical GA data. With this mode you can:
  • Enhance existing, already processed GA data with imported dimensions and metrics.
  • Upload calculated values after a transaction occurs, like total customer spend, last transaction date, or a loyalty score.
  • Correct any errors in data you have uploaded to GA in the past.
Query Time mode is currently in whitelist release for Premium users. For more information, contact your Premium account manager. You can learn more about Premium here.

Illustration of a new Google Analytics report with data from multiple sources 

We are also introducing a new version of Cost Data import that provides more versatile support for importing historical data. Additionally, cost data  can now be uploaded directly  through the Google Analytics web interface (previously, data import  required using the GA API). Note: Users of the original cost data import  must migrate to the new version. Details can be found in the cost data migration guide.

How to get started using Data Import
For more information, read Data Import on the Google Analytics Help Center. Also check our new developer Data Import guides that will get you up and running in no time. Some features are currently not rolled out to all users. If you’d like to join the beta for full-access, sign-up here.

Posted by Nick Mihailovski, Jieyan Fan, Richard Maher, Rick Elliott and the Google Analytics Team 

Referensi: Google Analytics Blog - Avvo Gains New Insights with Data Import.

Segmenting Brand and Generic Paid Search Traffic in Google Analytics

Many advertisers with paid search campaigns advertise on queries mentioning their brand (e.g., “Motorola smartphone” for Motorola) and also on generic searches (e.g., “smartphone reviews”). Because the performance metrics for ads shown against brand and generic queries can be vastly different, many advertisers prefer to analyze these two groups separately.  For example, all else being equal, searches containing the advertiser’s brand name often have higher clickthrough-rates than those that don’t.

Automatic classification

To make analysis of brand and generic performance as easy as possible, we’re introducing a new feature which automatically identifies brand-aware paid search clicks tracked in Google Analytics. We use a combination of signals (including the clickthrough-rate, text string, domain name and others) to identify query terms which show awareness of your brand.  You can review our suggested brand terms and then accept or decline each of them. It’s also easy to add additional brand terms that we’ve missed. 

With the resulting list of brand terms, we classify your paid search traffic in GA so that you can split your “paid search” channel into two separate channels: “brand paid search” and “generic paid search”. This can be done both for Multi-Channel Funnels (for attribution purposes) and for the main Google Analytics channel grouping. See this straightforward step-by-step guide to get started.

Industry feedback

Back in 2012, George Michie from the Rimm-Kaufmann Group, a leading online marketing agency, called analyzing brand and generic paid search together “the cardinal sin of paid search”. We showed him a preview of our new solution and here’s his reaction:

"I've been arguing for many years that advertisers should look at their brand and generic paid search separately. There are massive differences in overall performance - but also in more specific areas, like attribution and new customer acquisition. 

Google Analytics now makes it a lot easier for advertisers to segment brand and generic paid search into separate channels. I'm sure this feature will help many more advertisers measure these important differences - and more importantly, take action on these new insights."

Getting started

Finally: note that this feature works for all paid search advertising, not just Google AdWords. It will roll out to all users in the coming weeks.

To get started, use the step-by-step guide to set up separate brand paid search and generic paid search channels. We’ve already suggested brand terms for every GA view with sufficient paid search traffic.

Posted by: Frank Uyeda, Software Engineer, Google Analytics

Referensi: Google Analytics Blog - Segmenting Brand and Generic Paid Search Traffic in Google Analytics.

Better data, better decisions: Enhanced Ecommerce boosts shopping analytics

Earlier this week, we announced the beta launch of Enhanced Ecommerce for Google Analytics. It's a complete revamp of our ecommerce analytics, designed to provide richer insights into pre-purchase shopping behavior and into product performance.

“With Enhanced Ecommerce our clients can immediately gain clear insight into the most important metrics about shopper behavior and conversion: what products are viewed, where they are viewed, when they are added to carts, how the checkout process works and where customers get lost, and even details like payment methods.”
- Caleb Whitmore, CEO of Analytics Pros

Enhanced Ecommerce is designed to keep pace with the remarkable rise of online retail, which grew another 30% year over year in 2013. Digital data has played an essential role in that growth, offering deep insights into shopper behavior and letting retailers make smarter decisions. But needs are rapidly increasing and retailers are requiring more sophisticated and comprehensive analysis tools to understand shoppers and product-level performance. With the launch of Enhanced Ecommerce, we’re providing these tools.

“Enhanced Ecommerce will help us to overcome many challenges. As an example, I'm looking at a report that indicates a 74.4% checkout abandonment rate.  That insight is shockingly simple: over 7 out of 10 people that add something to the cart and start to checkout don't complete it! This is the kind of data that can drive change more readily than, say, simple conversion rates for e-commerce orders.”
 - Caleb Whitmore, CEO of Analytics Pros

Enhanced Ecommerce is built on top of the powerful Universal Analytics foundation. It includes tracking code updates (including full support for Google Tag Manager), data model changes, and new end-user reports that address ecommerce-specific use cases. Together they help online retailers see farther and understand customers better than ever before. 

Get deeper insights
  • Analyze how far shoppers get in the shopping funnel and where they drop off. 
  • Understand which products are viewed most, which are frequently abandoned in cart and which ones convert well. 
  • Upload rich product metadata to slice and dice your data.
  • Create rich user segments to delve deeper into your users’ shopping behavior and the products they interact with.

Optimize your site 
  • Create product lists for onsite merchandising rules and product landing pages to see which lists and products are best at driving customer engagement.
  • Analyze how internal promotions impact sales, and act immediately on the results.
  • With retailers reporting average on-site conversion rates of around 2.7%, even small improvements can have a big impact.
Close the loop
  • With refund support, Google Analytics now covers the entire shopping lifecycle.
  • Import user segments, based on ecommerce activity, for targeting in your remarketing campaigns.
In the chart below, see an example of how the new reports can benefit your business. You can create segments directly from the funnel reports to analyze abandoned cart sessions. See which products were abandoned and which devices to target to recapture those users. This data allows you to take immediate action. 
Shopping behavior funnel report. Use the table to analyze by any session level dimension
Enhanced Ecommerce is all about the bottom line. We've designed it to help you improve your total experience and turn more shoppers into buyers.

Learn more
Sign up today for the new Analytics Academy course on Enhanced Ecommerce! Or come learn more at Internet Retailer Conference Exhibition on June 12; Google’s Jesse Nichols will present Enhanced Ecommerce live. 

You can find more information on getting started with Enhanced Ecommerce in our Help Center and Developer site.  

Happy Analyzing!

Post by: Marcia Jung, Product Manager, Google Analytics

Referensi: Google Analytics Blog - Better data, better decisions: Enhanced Ecommerce boosts shopping analytics.

Google Analytics Summit 2014: What’s Next And On The Horizon For Analytics

As they have for years, Google Analytics Certified Partners, Premium customers and developers will once again join us in the Bay Area for our annual summit this week. We are constantly working to improve our products based on feedback from our most dedicated users and this event lets us hear directly from our community. We wanted to share an overview of some of the tools and features we’ll discuss at the 2014 summit so that even if you aren’t able to attend, you can about hear what’s next. 

Enhanced Ecommerce

Google Analytics Ecommerce data traditionally focused on details about the purchase - transaction details, product details, and others. But, marketers today want to understand the entire customer journey. They want more details about customer behavior when looking at products, interacting with merchandising units and on-site marketing. Today we’re announcing the beta for Enhanced Ecommerce - a complete revamp of how Google Analytics measures the Ecommerce experience. 

Businesses can now gain clear insight into new important metrics about shopper behavior and conversion including: product detail views, ‘add to cart’ actions, internal campaign clicks, the success of internal merchandising tools, the checkout process, and purchase. Merchants will be able to understand how far along users get in the buying process and where they are dropping off. For a complete overview of new features, have a look at our Help Center.

For marketers and Ecommerce managers looking to hone their analytic skills, we are also announcing a new Analytics Academy course titled Ecommerce Analytics: From Data to Decisions. Students will be guided through interactive examples of analyses for a fictional retail company to practice techniques they can apply to their own business. You can sign-up to be notified when this course opens on the Analytics Academy site.

Flexible and Scalable Reporting  

Today’s marketers and analysts are looking to multiple data sets to gain deeper insights. We’re working on a number of new features to make it simple for businesses to work with different types of data in Google Analytics.  
  • We unveiled Unified Channel Groupings to ensure all traffic that comes to the your site are classified in-line with your unique channel definitions. This is especially valuable for attribution, so marketers can interpret and report on the consumer journey based on their unique view of acquisition channels. 
  • We’ve expanded the functionality of Google Analytics Dimension Widening, now called ‘Data Import’, to enable customers to import more of their own data into Google Analytics. This could include specific product details, information about returned products, insights about your customers’ preferences, and more. Imported data can be used with almost all of the standard Google Analytics features. For a complete list of the types of data you can import please see our article in the help center (linked above).
  • For Google Analytics Premium users, we’re introducing Custom Tables. This powerful feature enables users to retrieve unsampled data using customized tables that best fit their business’ needs. Once configured, fresh data will be available daily for unsampled analysis and segmentation. 
Enterprise-Class Features

Today, smart marketers are increasingly tying measurement to media execution. We’re excited to announce a seamless integration between Google Analytics Premium, DoubleClick Campaign Manager and DoubleClick Bid Manager. Google Analytics Premium is uniquely positioned to help today’s advertiser understand how customers, and potential customers, interact with advertising media trafficked on the DoubleClick platform. In addition to understanding impression level data, advertisers can now send remarketing lists from Google Analytics to DoubleClick Bid Manager.

We added Google Analytics Premium and DoubleClick Bid Manager integration this year in order to further optimize our strongest lead generating campaigns. 70% of our display leads come from our retargeting campaigns, and the Google Analytics Premium and DoubleClick Bid Manager integration allows us to move beyond optimizing by site and creative, to quickly personalizing creatives - optimizing using our knowledge of distinct visitor segments not just generic visits.  
-Melissa Shusterman, Strategic Engagement Director, MaassMedia

Additionally, for enterprise customers, service providers, or developers that manage many accounts we are offering 4 new APIs to help you save you time and increase productivity: the new Provisioning API to create new GA accounts (invite only), the AdWords and Filters API to manage configurations, and the Embed API to surface key reports and dashboards. We’ve also re-launched the App Gallery as the Partner Gallery, the new destination to find Services by Google Analytics Certified Partners and Apps by Google Analytics Technology Partners. The new gallery will rollout to all users over the coming week.

Stay tuned in the next several days for deep-dives about our various new tools and features. You can also sign-up for the whitelist of several of the features listed above here. Thank you to our partners, developers, and customers for all the great feedback over the year. We hope to continue developing and launches capabilities that matters to you most.  

Posted by the Google Analytics team

Referensi: Google Analytics Blog - Google Analytics Summit 2014: What’s Next And On The Horizon For Analytics.

Google Analytics Premium launches executive-level business reporting

“Prior to using roll-up reporting we had no way to see all of our sites in a single Google Analytics view. Now we can easily compare our nine sites and react to trends in real time. This means that a product manager with a hunch about a new traffic pattern can quickly prove/disprove a theory without wasting hours of time pulling numbers for every site.”   - Jesse Knight, VICE Media Group

Google Analytics already helps you gather deep insights into one website or app at a time. But what if you want to understand the overall performance and interactions of all your company’s digital properties? In today’s multi-touchpoint consumer world, this is a much greater priority. 

Today we’re launching Roll-Up Reporting in Google Analytics Premium to help address this need. Roll-Up Reporting is a single interface that moves your aggregate business data much closer to your high-level business decisions.

The Executive Dashboard

One spot with aggregate data for all your sites and apps? Check. Key summaries with no compromises on data accuracy and segmentation? Check. Everything available in real time? Check. With Roll-Up Reporting, there's no need to export from dozens of properties and collate data offline. It's all built in.

Spot Overperforming Business Units

Suppose you want to compare the performance of the sites and apps for your company’s various brands, franchises or regional subsidiaries. The new Source Properties Report has you covered, with at-a-glance views of business units that are outperforming or underperforming. To compare specific segments, try using the new Source Property Display Name dimension in advanced segments, in custom reports, or as a secondary dimension. 

A Single View of Your Customer Journey

In many cases, Roll-Up Reporting can de-duplicate unique visitors across your websites and apps, so you can see the total unique-visitor reach of all your digital properties. You can also use segments to study the overlap and pathing of visitors who traverse several of your sites and apps. If your business owns multiple brands or franchises that target similar consumer populations, or if you expect the same consumer to interact with multiple marketing or landing sites over time, be sure to try this out. 

This is also a great way to tie together platform and device touchpoints. Google Analytics already provides powerful features, like cross device reports and single-view app and web data, to help you report on multiple types together. With Roll-Up Reporting, you’re no longer restricted to reporting on those tied to the same Google Analytics Property. That means more agile setups and more powerful analysis.

Fast Setup:
Roll-Up Reporting is made possible by Roll-Up Properties, a special type of Google Analytics property whose hit data comes exclusively from other Analytics properties. Setting up a Roll-Up Property is straightforward: no tagging changes needed. Simply select the Google Analytics properties that need to be reported on together, and Google Analytics will configure each selected property, called a Source Property, to forward a modified copy of all future hits it receives to the Roll-Up Property. 

To get started with Roll-Up Reporting, contact your Google Analytics Premium Account Manager to request your new Roll-Up Properties. 

To learn even more about Google Analytics Premium, contact your Google Account Manager or visit

Posted by Yi Han, on behalf of the Google Analytics Premium team

Referensi: Google Analytics Blog - Google Analytics Premium launches executive-level business reporting.

Introducing Content Grouping in the Behavior Flow

Many of you have shared with us that it’s difficult to identify traffic patterns from Behavior Flows that include a large number of pages. That’s why we're pleased to announce that we’re adding support for Content Groupings in the Behavior Flow. 

Content Groupings let you group pages and content into a logical structure that reflects how you think about your site. The Behavior Flow view provides a graphical representation of how visitors flow through your site by traffic source (or any other dimension) so you can see their journeys, as well as where they dropped off. Now, you can select Content Groupings in the Behavior Flow to see how visitors flow through Content Groupings that you have defined.  This can help you answer questions like “Where do users who read my sports pages go next? Do they view more sports articles or do they switch to another section? Or, do they simply drop off?”

The more time you spend setting up your Content Groupings, the more information you will be able to discover from viewing them in the Behavior Flow. Watch the video to learn more about setting up Content Groupings.

Visit our Help Center to learn how to get started with Content Groupings, or read this article about using the Behavior Flow once you have set up your Content Groupings.

Happy Analyzing!

Posted by Matthew Anderson, Google Analytics Team

Referensi: Google Analytics Blog - Introducing Content Grouping in the Behavior Flow.

Sharing is Caring – Unleash your productivity with asset sharing in Google Analytics

Innovation happens on every level

Within your organization there are multiple people working on different sides of the same problem. Making it easy for people to quickly and effectively share innovative solutions is a key enabler for more productivity, and better decisions. 

We are proud to announce a series of asset sharing tools within Google Analytics. To spread all your innovative solutions and assets even easier. Our permalink solution is a simple to use and privacy friendly way to share Google Analytics configurations across your organization, and beyond.

Narrow the focus for precise insights

Our popular segments feature helps you to narrow the focus of your analysis. Are you trying to answer a hypotheses for new, or recurring customers? Is this report more meaningful if you focus on a particular region? By sharing a segment, you share a certain point of view on a problem. Invite others to your view by sharing a segment you built, or a custom report.

Define success, and spread the love

Goals in Google Analytics help advertisers to map real business value into a conversion signal. Track users site engagement, media interactions, or sales events through Goal tracking. Now it is easier than ever to share your success definition across other views, or with other people in your organization.

Capture everything with Custom Channels Groupings

It all starts with traffic to your website. You spend a tremendous amount of effort and resources on getting people to visit. Custom Channel Grouping within Multi-Channel Funnels enables you to identify everything, especially traffic that is custom to your business model. Sharing this important view is now easier than ever. Create a Custom Channel Grouping, and share this among your organization.

Assign partial value to your marketing efforts

Custom Attribution Models allow Google Analytics users to assign partial value to the channel interactions which drive business value. You invest time and effort to build a customized attribution model, which reflects the nuances of your business. Now it is easier than ever to ensure all stakeholders are working off the same consistent definition of attribution.

“Amazing feature! I tried it … and like it.”
Sebastian Pospischil Director Digital Analytics, United Digital Group

How it works

Permalink is a simple to use, and privacy friendly way to share configuration assets. When you ‘share’ an asset, we are creating a copy of that asset or configuration, and create a unique URL which points to that copy. The asset copy will remain private and can only be accessed by someone with the URL. If you want to share your asset, just share the URL. The recipient clicks on the URL, and will be brought to a simple dialog to import the assets into his or her Google Analytics views. This feature also supports Dashboard, and Custom Reports.

Check out our Solutions Gallery within your Google Analytics account via the “Import from Gallery” button or directly at the standalone site for inspiration, and consider sharing your own permalinks via the “Share in Solutions Gallery” link. 

Happy Analyzing.

Posted by Stefan Schnabl, on behalf of the Google Analytics team

Referensi: Google Analytics Blog - Sharing is Caring – Unleash your productivity with asset sharing in Google Analytics.

Improving Your Data Quality: Google Analytics Diagnostics

Google Analytics is a powerful product with a wealth of features. Analytics data can fuel powerful actions like improving websites, streamlining mobile apps, and optimizing marketing investment. To realize this power, you must configure Analytics well and ensure high quality data. For these reasons, we’re starting a beta test with some of our users on Analytics Diagnostics that are aimed at finding data-quality issues, making you aware of them, and helping you fix them.

Analytics Diagnostics frequently scans for problems. It inspects your site tagging, account configuration, and reporting data for potential data-quality issues, looking for things like:
  • Missing or malformed Analytics tags 
  • Filters that conflict
  • Looking for the presence of (other) entries in reports
Here’s what it looks like:

As we get lots more feedback and improve the diagnostics system, we will release this to all of our users. It will take some time to get there; in the meantime, you are welcome to express interest in trying out the diagnostics system on your own GA accounts.

Posted by the Google Analytics Team

Referensi: Google Analytics Blog - Improving Your Data Quality: Google Analytics Diagnostics.

Smarter remarketing with Google Analytics

Sometimes, less is more.
While many marketers love the hundreds of dimensions they can use to create remarketing lists in Google Analytics, others have told us that the sheer number of possibilities can be overwhelming.

So to simplify the product while still ensuring great results for our users, we’re proud to announce a new type of remarketing list: one that’s managed automatically.

Introducing: Smart Lists with Google Analytics.
Now when creating a new remarketing list, you’ll have the option to have Analytics manage your list for you.

Smart List option in the Remarketing Interface

How does it work?
Smart Lists are built using machine learning across the millions of Google Analytics websites which have opted in to share anonymized conversion data, using dozens of signals like visit duration, page depth, location, device, referrer, and browser to predict which of your users are most likely to convert during a later visit.

Based on their on-site actions, Analytics is able to calibrate your remarketing campaigns to align with each user’s value.

If you use use eCommerce transaction tracking and have enough traffic and conversions, your Smart List will be automatically upgraded. Marked as [My Smart List], your list will be customized based on the unique characteristics that cause your visitors to convert. Only you will have access to this list, and no new data will be shared whether you use this feature or not (learn more).

For practitioners, the promise of big data is also the burden - there are so many analyses to run, so much opportunity.  With Smart Lists, as with Data Driven Attribution, Google Analytics is  operationalizing statistical analysis - making us not just smarter marketers - but faster and more nimble. 

While we might have been able to achieve similar results with ongoing statistical analysis and a complex cookie structure, Smart Lists are simply plug and play. This speeds us along, so we can focus not on list management, but on growing the business. 
-- Melissa Shusterman, Engagement Director,

For best results, make sure your Google Analytics goals and transactions are being imported into AdWords, then combine your Smart List with Conversion Optimizer using Target CPA or ROAS in AdWords.

If you’re new to remarketing, the Smart List is a great way to get started with strong performance results.  As you get comfortable with remarketing you can tailor your creatives and apply a variety of remarketing best practices.

If you’re a remarketer already employing a sophisticated list strategy, stay tuned while we gear up to extend this signal directly for your current lists as an optimization signal used in AdWords bidding.

We’ll be continuing to iterate on these models in order to help users better understand and act on their data. We’re also working on surfacing these signals elsewhere in your reports and in the product so you can dive into what factors help predict whether a user will likely convert.

We welcome your feedback and ideas. Please leave them right in the comments!

Happy Analyzing,
Ismail Sebe and Dan Stone
on behalf of the Google Analytics Team

Referensi: Google Analytics Blog - Smarter remarketing with Google Analytics.

Analytics & AdWords Bulk Account Linking

To maximize marketing investment and return, advertisers need insights into the effectiveness of their ads. However, gaining such insights is often overly cumbersome. This is why we’re pleased to announce that in the coming weeks, the Google Analytics and AdWords account linking process is becoming even more streamlined, making it easier for advertisers to quickly gain rich insights. The new linking process allows you to link multiple AdWords accounts all at once. This enables more tightly controlled linking access for each Google Analytics property. 

Enable Bulk AdWords Account Linking
Many Google Analytics users have multiple AdWords accounts. Until now, each AdWords account had to be individually linked. The new account linking wizard allows you to select any of the AdWords accounts in which you have Administrative access. The following screenshot shows what the wizard looks like for a user who has access to an AdWords MCC containing many AdWords accounts. Note that you can select multiple accounts:

Discover Unlinked Accounts
Many users want to quickly find unlinked AdWords accounts and link to them, and the new wizard makes this easy. A quick glance at the AdWords account list in the screenshot above shows which accounts are and aren’t linked. To link additional accounts, just mark the “X” in front of each account, and then continue.

Gain More Granular Control
With this launch, linking to AdWords now takes place at the Analytics property level instead of the account level. This is a benefit for those with many properties in a single Analytics account; if you have different teams of people managing each property, you no longer need to give them access to the full Analytics account in order to link to AdWords. Now, you can simply give that team access to only the appropriate property, and they can manage AdWords links. All it takes is property-level Edit permission to create and update AdWords links. This is another Analytics feature enabling large-scale Analytics customers to better control access to their Analytics accounts.

Visit The New AdWords Linking Section
Once the new linking process has launched to your account, you’ll be able to see all these features. Log in to your Analytics account, click the Admin button in the header, and you’ll see a new AdWords Linking section in the Property column:

These great new features are rolling out now and should fully launch to everyone in the coming weeks. Here’s what one of our users had to say:

"The linking process is now a lot more straightforward as I do not need to toggle between 2 different interfaces. Everything can be done in GA. In addition, all of the accounts that I manage are automatically listed in the interface so I do not need to look for them. This is a vast improvement from the previous experience." Sam Chew, Digital Manager, Air Asia

Log into your Analytics account soon to update your AdWords account links and gain rich marketing insights.

Posted by Dan Fielder and Matt Matyas, Google Analytics Team

Referensi: Google Analytics Blog - Analytics & AdWords Bulk Account Linking.