Google Data

Today we’re excited to officially announce our newest Analytics Academy course, Mobile App Analytics Fundamentals, designed to help you answer these questions and more. 

Whether you’re an app developer or an experienced marketer in the mobile app space, knowing the fundamentals of mobile app measurement can help you improve your app marketing and monetization efforts. In this course, you’ll learn how to identify your most valuable users, how to find more of them, and how to tailor your monetization experience for different groups of users.

How it works

In this free online course, instructor Fontaine Foxworth will lead you through a series of conceptual training videos and interactive exercises to teach you about Mobile App Analytics. Throughout the course, she’ll use an example online gaming app called Go Fish!, which will demonstrate common Analytics use cases and help you apply what you learn to your own mobile app. 

After the course opens, you’ll have four weeks to earn a certificate of completion while working alongside a worldwide community of Analytics enthusiasts. In total, the course should take between two to four hours to complete.

Ready to sign up? Register now and join us when the course begins on Tuesday, November 18th.

We look forward to your participation in the course!

Post By: Christina Macholan & The Google Analytics Education Team

“Enhanced Ecommerce in Google Analytics made it extremely easy to analyze the metrics that are important to an ecommerce site and garner the insights to make smart changes to our website, driving significant improvements in performance!”

– Danny Gavin, VP and Director of Marketing at Brian Gavin Diamonds

Our Enhanced Ecommerce features in Google Analytics are officially out of beta today, complete with brand new tools like Product Attribution. Combined with our new Shopping Campaigns report, Google Analytics provides our retail clients with an integrated view of their customers. As part of today’s announcements, we’re also excited to highlight partnerships with Shopify, PrestaShop, Blue Acorn for Magento, and mShopper. Using Enhanced Ecommerce in conjunction with our partners’ products simplifies the implementation process and gives you a full set of tools to create and optimize your ecommerce site. Please see the end of this post for more information about our partners’ solutions.

Understand customer behavior

Enhanced Ecommerce provides insight into the customer’s path to purchase, like when customers added items to cart, started the checkout process, and completed a purchase. Importantly, Enhanced Ecommerce gives you the ability to identify segments of customers who are falling out of the shopping funnel. You can then focus on these high intent-to-purchase customers with remarketing or by optimizing your checkout flow. Brian Gavin Diamonds, a Texas-based jewelry design house that is renowned for its signature hearts and arrows diamonds and custom jewelry design, used Enhanced Ecommerce to discover that in a single month they had missed out on more than half a million dollars in sales due to cart abandonment at the customer login page.  The company worked quickly to optimize their checkout flow with guest checkout functionality and immediately realized a 60% increase in customers completing the checkout process to payment.  You can read more about Brian Gavin Diamonds’ success with Enhanced Ecommerce in our case study.

Optimize online merchandising to increase sales 

Once you’ve gotten users to your site, Enhanced Ecommerce allows you to optimize the onsite experience to drive sales. By using Product Lists, you can identify how customers are discovering and interacting with products before purchasing them. Armed with this information, you can analyze your onsite promotions in order to build a more effective merchandising strategy, or use the product attribution functionality to understand which product lists drive conversions.

In an increasingly mobile world, this information is critically important since screen real estate is limited and must be used wisely. For retailers with mobile apps, the Google Analytics SDK fully supports Enhanced Ecommerce, so you can do rich analysis of product performance and customer behavior across all sales channels.  Across both desktop and mobile, Enhanced Ecommerce delivers the information you need to increase sales on your site.

Drive revenue with Shopping Campaign reports

Today, we’re also introducing a new Shopping Campaigns report as part of the AdWords reporting section in Google Analytics.  This feature will be rolled out over the next few weeks and will allow you to analyze the performance of your shopping campaigns.  With this functionality, you’ll have the ability to understand the product categories/types that are driving site engagement and revenue and use this information to optimize your bids.  So, how can you get started?  If you have already linked your Adwords and your Google Analytics accounts, this report will automatically appear in the Adwords reporting section of your Analytics account.  Not linked yet?  Simply follow these instructions to link the two accounts.

Get Enhanced Ecommerce with our partner integrations

Shopify, PrestaShop, Blue Acorn for Magento, and mShopper have partnered with us to integrate Enhanced Ecommerce as part of their ecommerce solutions. If you’re using one of these platforms, you can take advantage of Enhanced Ecommerce by enabling one of these pre-built integrations.  Shopify and Blue Acorn’s solutions are available today while solutions for Prestashop and mShopper will be available in the coming week. To learn more about our featured partners, please visit our partner page. 

Google Analytics Enhanced Ecommerce is built to help you understand your customers and optimize your sales conversions. Combined with Shopping Campaign reports, Google Analytics is a complete solution for ecommerce businesses.  For more information about how to implement this feature in your Google Analytics account, please see the documentation available in our help center.

Posted by Marcia Jung, Product Manager, on behalf of the Google Analytics team

More about our partners

Shopify

Shopify is a commerce platform that allows anyone to easily sell online, at their retail location, and everywhere in between. Shopify offers a professional online storefront, a payment solution to accept credit cards, a point of sale system to power retail sales and a card reader to process credit card transactions through a mobile phone. Shopify currently powers over 120,000 retailers in 150 different countries, including: Tesla Motors, Gatorade, Google, Wikipedia, LA Lakers, CrossFit, and many more. 

PrestaShop

PrestaShop is a world industry leader in Open Source solutions for ecommerce, whose mission is to challenge ecommerce limits by developing a powerful solution that is accessible to anyone, anywhere. Through the Open Source software, PrestaShop allows everyone to create online stores quickly, easily and for free. The company currently counts more than 200,000 online stores worldwide, 700,000 community members and over 4 million software downloads.

Blue Acorn

Blue Acorn is a premium eCommerce agency dedicated to helping retailers and brands achieve revenue growth through a comprehensive, data-driven approach. In order to best support this approach, they became the first Magento Solution Partner in the world to also hold certified partnerships with Google and Optimizely. By integrating data and testing throughout their services, they are able to help their clients make the best decisions possible and further support their best-in-class design, development, and optimization capabilities.

mShopper

mShopper is a leading mobile commerce platform that allows retailers to create custom, mobile-optimized e-commerce sites designed specifically to increase sales on mobile devices. The integration with Enhanced Ecommerce will provide a dramatic impact on mobile commerce conversions for retailers by delivering superior insight on product sales and overall campaign performance. mShopper recently launched mStore® v4.1 with marketing tools and a performance dashboard to drive conversions and improve sales for customers using mobile devices as well.

Plan ahead.

Over the past few years, we’ve seen the holiday rush begin earlier and earlier. And we’ve also noticed that the shopping frenzy is extending beyond the traditional season, with transaction rates in 2013 boasting lifts even after Christmas. These trends make for a lot of opportunity for online retailers, but you need to play your cards right. The most important thing you can do to ensure seasonal success is to plan your digital strategy now.  We’ve analyzed transaction behavior from a portion of our Google Analytics accounts over the 2013 holiday season to develop a guide for seasonal success. 

Which days drive the most transactions?

In order to develop a successful holiday retail strategy, it’s important to first understand the days that drive the most sales for your business. Once you understand this, you can craft a strategy that optimizes your media and promotion not only for these days, but for the entire holiday season.

As digital retailers are well aware, Cyber Monday is THE digital shopping day of the year.  It generates the most transactions of any single day and, in 2013, saw a transaction rate lift of 170% over average.  In second place is Black Friday, a day that has increased in digital importance over the last three years. By 2013, the transaction rate on Black Friday was 114% higher than average.  Beyond these two stars, the table below shows you the top days in 2013 by transaction volume and the lift in transactions rates on each day.

In general, beyond Cyber Monday and Black Friday, the Mondays and Tuesdays before Christmas in December tend to generate the highest volume of transactions.  Interestingly, the highest transaction days are not correlated to the days with the most sessions (traffic to your site), so avoid using the top session days as a proxy for the top transaction days.

How can I drive sales on the top transaction days?

The holiday season generates some of the highest transaction rate spikes and the lowest dips for the entire year. In order to drive digital sales successfully, it’s important that you adjust your bids for auction-based media, such as search ads, appropriately to account for higher transaction rates on key dates and throughout the season.  As you navigate the holiday season, use the lift in transaction rates over the average transaction rate as your bid multiplier for auction-based media (learn more about bid adjustments). This adjustment schedule reflects the increased value of clicks that are more likely to convert, and helps ensure that you stay ahead of competitors and  get in front of the right consumers. The transaction rate lift for the top days are shown in the table above, while the chart below gives you an idea of the lift for the weeks surrounding the holiday season.

As you can see, the top days generate some of the biggest transaction rate lifts, but there’s also plenty of upside in the weeks preceding Thanksgiving as well as right before Christmas.  A smart retailer will generate a bid schedule for the entire season, starting 4-5 weeks before the Thanksgiving holiday.

Marketing to consumers is notoriously tricky and often trend-driven, making the holiday season a difficult and uncertain time for retailers. However, with proper pre-season preparation, digital retailers can set themselves up for seasonal success in 2014.  If you’re a Google Analytics user, you can tailor this analysis and approach to your business, using your own data and the data available in our benchmarking tool.  For more strategies for the holiday season, check out our holiday tips blog post and best practices checklist.

About the Data

In order to perform this analysis, we looked at billions of sessions across millions of Google Analytics accounts. We used session and transaction trends; and we looked at the percentage of sessions that included a transaction to calculate transaction rates. The data includes only accounts that have authorized Google to share website data in an anonymous way (read more). For questions, comments, or praise please contact us at  

Posted by Daniel Waisberg and Jocelyn Whittenburg from the Google Analytics team.

• A default workflow that’s simpler and clearer
• Instant search and autocomplete that can help you find anything in your Google Tag Manager containers
• New keyboard shortcuts to simplify life for power users

We are confident you’ll find the new Google Tag Manager easier to use and a more powerful solution for your web and app tagging needs. If you are already using Google Tag Manager, you can try out the new user interface today by logging in your accounts and following the instructions. New to Google Tag Manager? Get started today!

Posted by Lukas Bergstrom, Product Manager Google Tag Manager

This post originally appeared on the Inside AdWords Blog.

Over the next few weeks we are rolling out dynamic remarketing to all verticals including hotels, flights, real estate, classifieds, jobs, auto, finance and education. Since we launched dynamic remarketing for retailers, many advertisers like Bebe Stores, Netshoes, and Build Direct have been driving better results and more profits from their remarketing campaigns.

Highlighting what matters most to your customers

Dynamic remarketing shows site visitors tailored ads that feature the products they viewed on your website, and related products they might be interested in. Let’s say you sell cars and offer hundreds of makes and models in multiple cities. With dynamic remarketing, you can build one ad that will dynamically show tailored messaging to your site visitors, like the cars they engaged with on your site, and similar cars in that city and price range. Beta clients across multiple verticals reported a 2x increase in conversion rates and 60% reduction in CPA, on average, when they added dynamic ads to their remarketing campaigns.*

Display ads built for mobile, optimized for conversion value 

• When advertisers add mobile targeting to their remarketing campaigns, we’ve seen conversion volume increase by 15% on average at the same price. That’s why all our dynamic remarketing templates are mobile-optimized to deliver ads seamlessly across screens. Learn more. 
• Dynamic remarketing with automated bidding can boost performance by calculating optimal bids for each impression in real-time. This means if you sell an $800 camera and a $20 flashlight, AdWords will automatically prioritize winning more of the $800 conversions than the $20 conversions. This helps to maximize the total value of your conversions, not just the number of conversions.  Learn more. 

Customers driving success with dynamic remarketing  

In travel, Hotel Urbano built a single dynamic ad that showed each prospective traveler the package, hotel or cruise most relevant to them. Dynamic ads improved their return on ad spend by 38%, and drove 415% more revenue compared to standard remarketing. Mariana Filippo, senior marketing analyst at Hotel Urbano, says it made business more efficient “since we don’t have to change creatives every day across over 4,000 packages across 183 different countries. It keeps up with our frequency so we can deliver the right ad with the right user.”

In flights, Jet Airways customized ads based on where and when people were looking to fly, so someone browsing flights from New York to London could see a special offer on business class tickets on the exact day they’re looking to fly. They doubled conversions at a 65% lower CPA by adding dynamic ads to their remarketing strategy.

In local deals, India’s largest online B2B marketplace IndiaMART used dynamic remarketing to recommend new suppliers to existing customers, increasing lead volume by 400% at a 60% lower CPA. Saugata Halder, product marketing manager at IndiaMART offers this advice: “For marketplaces like us, it’s imperative to showcase the wide range of products available to our buyers. Dynamic remarketing allowed us to reach a larger segment of our customers with personalized ads and to maximize the impact of our marketing efforts.”

Join us for a Hangout on Air

Learn how you can get started with Dynamic Remarketing. Join us for a live Hangout on Air with Google product managers and experts on Thursday, October 9th at 9:00am PT/ RSVP here.

For more information visit the AdWords Help Center. If you’re a Google Analytics user, you can visit the Google Analytics Help Center to learn how to use your existing tags to get started with dynamic remarketing.

Posted by Jyoti Vaidee, Product Manager Dynamic Display Ads

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*Campaign results may vary across advertisers 

Good data is important.  How important?  Studies show that inaccurate data has a direct impact on the bottom line of 88% of companies.  In fact, the average company loses 12% of its revenue due to bad data.  As you know, Google Analytics is a powerful product with a wealth of features to help you optimize your results online. However, to unleash the power of Google Analytics’ marketing tools, you must ensure the data collected is complete and of the highest quality. The insights that fuel action in Analytics depend on good data, especially for some of our advanced algorithmic marketing functionalities like data driven attribution.

Since its release two months ago, our popular new diagnostics tool is working hard to ensure you’re getting the best results. Today, we’d like to share insights into some of the most common account errors along with likely causes and suggested solutions. In particular, we’ll look at some solutions for when our diagnostics tool is telling you the following:  “Bad Default URL,” “Clicks and Sessions Discrepancy,” and “No Goal Conversions.”  Read on to understand the impact of these issues as well as their common causes.

Bad Default URL

“Data without quality is useless.”

João Correia, Analytics Strategist at Blast Analytics & Marketing

When you create a Google Analytics account for website tracking, one of the first questions we ask is for a default URL. This is generally the homepage of your website. Diagnostics ensures that you have tagged your default URL correctly for this property, and warns you if this is not the case. Having a properly tagged website is an essential step towards being able to understand consumer behavior.

This warning is generally caused by either missing or malformed tracking code installed on your default URL, or more simply a typo in the URL that was input. If the default URL is incorrect, simply login to your Google Analytics account, click the “Admin” button in the header, and click “Property Settings” to adjust your default URL. If the tracking code is flawed, you’ll want to talk to your webmaster and ask to have the tracking code correctly installed. 

Beyond the default URL, we also check for tracking code health across your site. We look for pages that have missing or malformed tags. And we continually run these checks, ensuring new pages you launch in the future also are properly tagged. 

Clicks / Session Discrepancies

“Diagnostics helped me identify and fix an AdWords data discrepancy in my account.  Without the tool, I may have never even realized that my data was inconsistent.  This is a great tool!”

Monika Rut-Koroglu, Digital Analytics and Optimization at FXCM

Google Analytics offers rich capabilities that help users share data with linked AdWords accounts and gain unique and powerful marketing insights. It’s common to expect the number of clicks you see in AdWords to match the number of sessions you see in Analytics; but this is not always the case. This discrepancy can slow down meaningful analysis, and is a situation that can and should be rectified.

The most common causes of this issue have to do with your configuration settings. For example, when you send ad clicks through a third party that redirects to your site; the third party will often times drop vital tagging parameters which are mandatory for Analytics and AdWords to associate clicks and sessions. Other examples are having AdWords auto-tagging disabled, and redirecting users to mobile sites while unintentionally dropping tagging parameters.

Fixes for these issues can vary; we have a detailed guide to walk users through this or you can follow prompts in Google Analytics when we identify specific actions for you to take. If you have a third party who uses redirects and drops parameters, talk to them to resolve the issue. If auto-tagging is disabled on your AdWords accounts, consider enabling it. 

No Goal Conversions

“[Google Analytics Diagnostics] is a great idea… Just discovered it the other day on my iPad. Helpful to let me redefine my goals better and find out what’s not working.”

Sherri Matthew, Harpist and Small Business Owner

Google Analytics goals offer valuable ways to identify, track, and help you drive more valuable outcomes. Sometimes goals can break, and stop this critical stream of insights from reaching you. We run diagnostic checks to ensure your goals continually identify a steady flow of high value customers, and we warn you if this flow breaks.

The most common cause for goal breakage is when a goal is based on a URL that changes. If your webmaster updates the URLs on your site, and the URLs in the goal settings aren’t updated accordingly, this will cause your goal to stop tracking. The second most common cause for goals breaking is if the event tracking on your site changes and the events listed in the goal aren’t updated accordingly.

If you’ve had a goal break for these reasons, visit the “Admin” section via a link in the header of your Google Analytics account, and click “Goals” to correct your goal configurations.

More About Diagnostics

Google Analytics Diagnostics scans for problems every day (with some exceptions). It inspects your site tagging, account configuration, and reporting data for potential data-quality issues.  Only users with Edit permission can see and respond to diagnostics messages. Diagnostics honors the first response to a message; for example, when a user ignores a message, it is ignored for all users.

The tool currently scans for dozens of issues, and dozens more are planned. Just keep an eye on your account over time – it will notify you if and when new issues or opportunities are detected.

- Frank Kieviet and Matt Matyas, Google Analytics Team

Good news for mobile app developers: Audience Demographics and Interests Reporting and Remarketing are now available for apps in Google Analytics.  Just one of the improvements for audience segmentation and remarketing we’re announcing today, these changes should make it even easier for all our advertisers to reach their high-value customer segments. 

In-App Audience Demographics Reporting and Remarketing

Good analytics are especially important to app developers. At Google I/O, Hovhannes Avoyan, the CEO and Founder of PicsArt , had this to say: 

“We need analytics to help us understand who our users are, how they interact with our application, how our application performs. With all that knowledge, we want to apply different monetization strategies to different kinds of users.” 

Now developers can see just how different user segments engage and monetize with In-App Audience Demographics Reporting. 

And it’s more than just data. Analysts and developers can blend audience demographic and behavior data into detailed audience lists to be targeted with in app remarketing campaigns. In short, all the great remarketing capabilities for Google Analytics users on the web are now available for apps as well.

Segmentation and remarketing lists get an upgrade

Creating remarketing lists for apps and web is now even easier with recent upgrades to both segmentation and audience building. A streamlined creation flow for creating audiences allows users to go from segment to audience within clicks (plus a few bonus admin features like list renaming and automatic list sizing).

If you prefer to stand on the shoulders of remarketing giants, Analytics power users have developed and shared audience definitions that import via template links or from the solutions gallery. This simplifies things dramatically for new users. A process that could be complicated and time-consuming can now be done with 6 clicks in under 1 minute. Give it a try: import our Engagement Pack of Core Remarketing Lists.

On the segmentation side, users have told us they wanted segments to be more discoverable, easier to manage, and more intuitive to build. We’ve been listening, and have made interface improvements, adding a simple “Add Segment” button within reports, a new segment-selection interface, hover-over segment definitions, and a 1-click action dialogue to Share, Edit, Copy, Remove, or Remarket to a segment. 

Measure remarketing performance with the new Display Targeting report

Once you’ve found a segment, created an audience, and activated your remarketing campaign, close the loop by measuring the performance of those audiences across all remarketing campaigns . Enter the new Adwords Display Targeting report in the Acquisition section to see all your active remarketing lists, along with impressions, spend, behavior, and conversion rates under the “Interests and Remarketing” tab.

You can learn how to update your SDK to enable these features in our Help Center or get started now by creating some remarketing lists. We hope that these improvements make your audience segmentation and remarketing– in apps and on the web– more intuitive and more effective. We’d love to hear from you! Please leave questions or feedback in the comments, and stay tuned for more audience-related improvements. 

Posted by Dan Stone, Product Manager, and Kanu Singhal, Technical Lead from the Google Analytics Audience Team

With 10.6 million cell phone customers and retail stores in 400+ markets, U.S. Cellular needs to reach a lot of people with marketing messages. That’s why U.S. Cellular uses many marketing channels — online, in-store and telesales — to drive mobile phone activations.

U.S. Cellular was challenged though. They didn’t know how many of their offline sales were driven by their digital marketing. This made it harder to adjust their media mix accordingly and also to forecast sales. To fix that situation, U.S. Cellular and its digital-analytics firm, Cardinal Path, turned to Google Analytics Premium and its integration with BigQuery. 

Part of Google Cloud Platform, BigQuery allows for highly flexible analysis of large datasets. The U.S. Cellular team used it to integrate and analyze terabytes of data from Google Analytics Premium and other systems. Then they mapped consumer behavior across online and offline marketing channels. Each transaction was attributed to the consumer touchpoints that the buyer had made across various sales channels. 

The result: U.S. Cellular got real insight into digital’s role in their sales. They were surprised to find that they could reclassify nearly half of all their offline activations to online marketing channels.

U.S. Cellular now uses this complete (and fully automatic) analytics framework to really see the consumer journey and forecast sales for each channel. Their team has the data they need to make better business decisions. 

“We’re now in the enviable position of having an accurate view at each stage of our customer journey,” says Katie Birmingham, a digital & e-commerce analyst for the company. “The Google Analytics Premium solution not only gives us a business advantage, but helps us shape a great customer experience, and ultimately ties in to our values of industry-leading innovation and world-class customer service.”

Be sure to read the full case study. 

Posted by: Suzanne Mumford, Google Analytics Premium Marketing

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 and with the help of Analytics Pros, 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:

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.

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 

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

Today, we are adding Unsampled Reports to the Google Analytics Management API for Google Analytics Premium customers. 

Accurate analysis when you’re not online

Enterprise analytics users need to execute complicated, ad hoc reports and download them into their own systems. The Unsampled Reports feature provides accurate analysis of large unsampled data sets. 

Easily integrate data

This enhancement to our Management API offers a new way to access unsampled data, so you’re free to spend more time on other strategic areas of your business. It also increases the integrity of the data in your internal systems and provides the flexibility to access your data in a way that best fits your business needs. For example, you can integrate the API into your Business Intelligence (BI) system to retrieve unsampled data, and to provide accurate metrics that support your critical business decisions.  

How it works

When you create an Unsampled Report using the API, it is processed in an offline manner. The completed reports are available through the API and under the Customization tab in the Unsampled Reports section. You can define whether you would like the report to be saved in Google Drive or in Google Cloud Storage. Read the Unsampled Reports API documentation for more details.

Posted by Yaniv Yaakubovich, Product Manager, Google Analytics Premium