Recent Post

Showing posts with label Case Study. Show all posts
Showing posts with label Case Study. Show all posts

Remarketing Lists for Search Ads, Powered by Google Analytics

Remarketing Lists for Search Ads, Powered by Google Analytics

Today we’re excited to announce you can use audiences (previously remarketing lists) created in Google Analytics to reach your customers on Google Search, with no tagging changes required. 

Remarketing Lists for Search Ads (RLSA) allows you to tailor your search ads and based on your visitors' past activity on your website. Now you can leverage more than 200 Google Analytics dimensions and metrics to create and activate your audiences for remarketing, then use those audiences to reach and re-engage your customers with a consistent message across both Google Search and Display.

TransUnion cuts CPA in half with RLSA

In order to find more customers while reducing waste in their search campaigns, TransUnion, a leading financial services provider, used the audience creation capabilities in Google Analytics to spend more efficiently on Google Search.

TransUnion started by creating two audiences. The first was for new customers―those who had visited the site and started, but not completed a credit application. The other included customers who had already converted. Splitting the audience between new and existing customers allowed TransUnion to bid higher on Google search ads for new customers and spend less on converted customers.

The new RLSA capabilities in Google Analytics yielded impressive conversion rates and cost efficiencies for TransUnion's search campaigns. RLSA visitors had a lower bounce rate and viewed twice as many pages per session compared with regular visitors. 

By using more tailored text with their remarketing lists, TransUnion increased their conversion rate by 65% and average transaction value by 58%. Meanwhile, CPCs for existing customers dropped 50%, resulting in a roughly 50% drop in their cost per transaction. Read the full case study here

How to get started

Getting started with RLSA is easier than ever before thanks to Instant Activation. Within the Admin tab, simply click Property, then Tracking Info, and finally Data Collection. Ensure that Remarketing is set to ‘ON.’


Once you’ve enabled this setting, all your eligible audiences will begin to populate for RLSA.

Building Audiences

If you’d like to create new audiences, there are three ways to get started. 

First, you can create a new audience using the Audience builder in the remarketing section of the Admin tab. Make sure you select the relevant AdWords account to share your audience with for remarketing.




If you have an existing segment you’d like to turn into an audience, simply click on the segment options and select “Build Audience” right from within reporting. This option will take you directly to the audience builder as above.  


Finally, you can get started quickly and easily by importing audiences from the Google Analytics Solutions Gallery.

Activating audiences in AdWords

Once you have shared an audience with AdWords, it will appear instantly in your AdWords Shared Library and will show eligible users in the column List size (Google search).  Keep in mind that an audience must accumulate a minimum of 1,000 users before you can use it for remarketing on Google Search. To get started, follow the instructions in the AdWords Help Center

Support for RLSA with Google Analytics is part of an ongoing investment to provide powerful ways to activate your customer insights in Google Analytics, along with recent features like Cohort Analysis, Lifetime Value Analysis, and Active User Reporting. Stay tuned for more announcements!

Happy Analyzing,
Lan Huang, Technical Lead, Google Analytics,
Xiaorui Gan, Technical Lead, Google Search Ads

BT Increases Sales Volume and Efficiency Using DoubleClick Bid Manager With Google Analytics Premium

BT Increases Sales Volume and Efficiency Using DoubleClick Bid Manager With Google Analytics Premium

Cross-posted on the DoubleClick Advertiser Blog

Modern marketers live in a world that’s dominated by data. Advancements in programmatic buying enable marketers to leverage data and analytics to connect precisely, in real time. Advertisers who are smart about organizing, segmenting, and acting on this data are realizing the benefits of more personalized marketing. BT, a leading telecommunications firm in the UK, did just that and saw fantastic results.  

BT wanted to increase the relevance of their remarketing campaigns by creating more precise audience lists. With the help of their media agency Maxus, BT found that using Google Analytics Premium with DoubleClick Bid Manager offered the ideal solution. 

Google Analytics Premium gave BT the ability to create granular audience segments based on site behavior metrics such as recency, frequency, referral source, and stage of cart abandonment. Once these audience lists were created, the native integration between Google Analytics Premium and DoubleClick Bid Manager meant they could be shared with the platform to make more precise media buys in just a few clicks.

Using Google Analytics Premium with DoubleClick Bid Manager put Maxus and BT in the driver’s seat of their media campaigns. They not only gleaned full transparency with a single customer view and de-duplicated metrics across all channels, but also saw better measurement through unified reporting, and the ability to optimize based on the results.



”Our goals were to build up ‘best practices’ of programmatic display remarketing techniques with a focus on driving post-click sales,” says Alison Thorburn, Head of Digital DR Media at BT. “The DoubleClick suite of products enabled us to do this quickly and efficiently as audience data can be easily organized and utilized.” 

The new analytics-driven approach produced a 69% increase in post-click sales and an 87% reduction in post-click cost per acquisition compared to the previous year’s remarketing activity. It also compared favorably to the remarketing activity that ran simultaneously outside of DoubleClick Bid Manager; post-click sales were 30% higher and post-click cost per acquisition was 42% lower. BT has now consolidated its display remarketing through DoubleClick BidManager.
Read the full case study here.

Posted by-
Kelley Sternhagen, Product Marketing, Google Analytics
Kelly Cox, Product Marketing, DoubleClick

Marketo Scores 10X Higher Conversion Rate With Google Analytics

Marketo Scores 10X Higher Conversion Rate With Google Analytics


"Google Analytics has helped us increase the effectiveness of our AdWords remarketing campaigns by improving the targeting of our audiences and allowing us to present more relevant ads." 
Mike Telem, VP of Product Marketing at Marketo 

Marketo, a leading marketing automation company, is a strategic partner for thousands of companies. To take their own marketing to the next level, Marketo needed an analytics platform that was flexible enough to combine external data with user site behavior. They wanted to seamlessly leverage that data to improve the relevance of their marketing.

Marketo used a two-step approach for their marketing: first they used Marketo's Real-Time Personalization (RTP) product to identify characteristics—such as product interest and industry type—of Marketo's website visitors. Then they passed this data to Google Analytics in the form of events. This allowed Marketo to see Google Analytics visitor demographics and behavior information next to Marketo's RTP-identified characteristics for a more holistic picture of their user base in Google Analytics.

Using Google Analytics as the single source for customer data, Marketo segmented audiences in Analytics based on conversion stage or business vertical. With native integrations between Google Analytics and AdWords, Marketo was able to pass these specialized remarketing lists to AdWords and serve more personalized remarketing ads to its users in just a few, easy clicks.

These tailored ads had a huge impact and Marketo saw a jump in both engagement and conversions. Across the board, remarketing with Google Analytics drove a 10X higher conversion rate compared to traditional display marketing campaigns. Marketo also saw 200% more conversions in its B2C segment and an increase of 150% in conversions for its enterprise visitors.

To read the full case study, click here

Posted by: Kelley Sternhagen, Google Analytics Marketing 

Start Remarketing with Google Analytics Instant Activation

Start Remarketing with Google Analytics Instant Activation

For many advertisers, remarketing is an essential tactic. But remarketing can be a difficult journey, even for the savviest digital marketer. We repeatedly see marketers struggle with tagging hurdles and complex implementation challenges, with the result that only 1 in 5 remarketers successfully completes their setup.

To help make it easier for advertisers to reach their most qualified customers, we’ve enabled remarketing with a single toggle. Instead of manually updating all of your site tags, simply use Instant Activation and get started with remarketing in four easy steps.

Identifying quality visitors and maximizing conversions

GlobalTechLED.com is a producer of LED lighting. Thanks to Instant Activation, John Burns, Director of Marketing, was able to start remarketing quickly. Without waiting for IT to re-tag his site, John successfully launched Global Tech LED’s first remarketing campaign and saw fast results by reaching their highest potential customers.

After enabling remarketing, Global Tech LED leveraged Google’s powerful machine-learning technology in two ways for their online campaigns: Smart Lists for remarketing automatically created lists of visitors who were most likely to engage in a subsequent session on GlobalTechLED.com. Then, Conversion Optimizer instantly adjusted the campaigns’ bids get more conversions at a lower cost, eventually freeing up more time and resources for the company.

As a result, GlobalTechLED.com is currently reaching their performance and outreach goals. To date they’ve doubled their display campaigns’ CTRs and have almost five times more clicks on their remarketing campaign compared to their other campaigns. Website traffic increased by over 100% in the first 30 days of the campaign, and international traffic skyrocketed. They’ve also seen a 75% decrease in CPA for their campaigns.

These kind of results were exactly what the company was looking for. According to John, "We’ve been trying to hit these specific numbers in the account for a couple of months, and Google Analytics Remarketing helped us achieve these in only a couple of days." Read the full case study here.

Four easy steps to get started

Ready to get started with remarketing? You can, with just four steps.

1. In your Google Analytics Property’s settings, choose ‘Audiences’ under the ‘Remarketing’ section.


2. Choose the AdWords account where you’d like to share your Audience and click ‘Next Step’.


3. Click “Enable” to create your first audience of All Users.  You can also come back later and create more complex audiences, like ‘visitors who have spent more than six minutes on site’, ‘visitors who visited more than five pages’, or ‘abandoned cart’.

This step automatically activates Advertiser Features if you haven’t done so already, which also enables Audience Demographics and Interests Reporting. You can manage this setting at any time in the Admin tab, under the ‘Advertiser Features’ section in your Property Settings.


4. Click ‘Create Campaign’ and complete the remarketing campaign creation process in AdWords. Congratulations, you are now a Remarketer!


We’re really excited to make Advertiser Features in Google Analytics simpler and enable all Google Analytics users to be more successful across all their marketing channels. Stay tuned for future improvements!

Happy Analyzing!

Posted by Avi Mehta and Rosanne Borja, Google Analytics Team

AccuWeather Unlocks Cross-Channel Impact Using Google Analytics Premium

“The ability to overlay our own data on top of traditional dimensions and metrics has provided valuable insights into the kind of information our consumers are looking for.” 

-- Steve Mummey, Director of Browser Products at AccuWeather

AccuWeather is the world’s largest weather media company with over 1 billion people a day relying on AccuWeather’s suite of products to give them real-time weather information. Today we wanted to highlight AccuWeather’s success with the Measurement Protocol in Google Analytics Premium. The Measurement Protocol is a feature where businesses can send requests to Google Analytics from countless customer touchpoints. 

Measuring the complete customer journey
AccuWeather needed to find a way to increase the impact of digital across all its channels and products. They were determined to find a robust solution that collected data from each customer touchpoint to give a comprehensive analysis to make better business decisions.

The team wanted to sought out accomplish four goals: 1) analyze the effectiveness of weather forecast emails 2) attribute credit to campaigns that drove users to app store pages, 3) better understand their mobile audience, and 4) collect this new data without compromising AccuWeather’s fast and simple user experience.

Google Analytics Premium solves the challenge
Using Google Analytics Premium, plus the Measurement Protocol, allowed AccuWeather to report on a variety of the company’s services simultaneously from one source. AccuWeather was able to have information from emails, mobile devices, and QR codes sent through the Measurement Protocol. This feature provided the AccuWeather team with a complete picture in the Google Analytics reporting interface alongside their other metrics.

Data-driven decisions that drive action
As a result of the sophisticated and comprehensive set of Google Analytics Premium features, AccuWeather has been able to more accurately identify the source of app downloads to track application traffic from QR codes and other offline campaigns to the app stores.

The team’s analysis revealed that 10% of the brand’s mobile traffic came from devices that either did not support JavaScript or had the feature disabled. Without using the Measurement Protocol in Google Analytics Premium, they would never have been able to account for this portion of its audience. The team can now include this audience in its product and monetization decisions.

Pleased with the success of this solution, AccuWeather now plans to apply it to other parts of its business to uncover new insights, new leads, and, of course, new customers. 

You can read AccuWeather’s full story and dive deeper into the results here. To learn more on the Measurement Protocol, check out this video.

Posted by: the Google Analytics Premium team

Boost Conversions by Infusing Google Remarketing with Marketo Real-Time Personalization

Boost Conversions by Infusing Google Remarketing with Marketo Real-Time Personalization

Personalization is a hot topic for today’s marketers, a group that spends nearly half of their budget attracting new prospects. But customer expectations have risen; content must be relevant to acquire new customers and move them to convert.

Some pioneering marketers are seeing better performance by using real-time personalization and remarketing simultaneously. Knowing who a customer is and what they do is a big step toward providing the hyper-relevant content that customers crave.

Join Marketo’s Mike Telem and Mike Tomita on January 15th at 10am PT/ 1pm ET as they discuss the importance of real-time personalization for marketing results. Google’s own Dan Stone will give an overview of the ways Google Analytics technology can be used to power advanced remarketing, while the Marketo team will share the ways their company uses real-time personalization and Google Analytics to generate more leads at a lower cost.

Looking for tips on how to get your organization started? Reserve your spot today!


Google Analytics in AdMob helps mobile app developer Eltsoft go global

Cross-posted on the Inside AdMob Blog 

Since March 2014, Google Analytics has been fully available in AdMob, and now app developers are increasingly seeing results by combining data from both platforms. Here’s one story that illustrates the power of AdMob and Google Analytics together.

Passion for languages and learning
Jason Byrne, and business partner Robert Diem, are passionate about making a difference in education. They came together during their time as professors in Japan to found Eltsoft LLC, a company that builds mobile language learning apps for iOS and Android. Together, they started creating a series of fun tools  that allow users to study whenever they want, wherever they are.

Global expansion
Their most popular app is English Grammar, which has been downloaded by more than a million people looking to sharpen their English-language skills in nearly 120 countries.

All of the company’s apps are available for free or as paid versions. To increase revenue, they chose AdMob to earn money from the free versions of their apps with advertising. “AdMob monetization is central to our success because it delivers high-quality, appropriate ads to our audience in their native languages, wherever they live,” says Jason. 

The Google Analytics data within AdMob helped them understand more about their users. "Our app, English Grammar, has users from all around the world, so we turned to data from Google Analytics and AdMob to understand which languages we should consider for localization. For example, we knew we had to prioritize German and French, but we discovered other languages that we didn't expect, such as Russian and Japanese."

A data-driven approach to marketing 
Eltsoft uses data to focus their marketing campaigns and assess where to use their resources most effectively. “Google Analytics keeps making campaign analysis simpler and clearer,” Jason says. “Data from various sources - Google Analytics and Google Play, for instance - are now all in one place. That helps me understand what’s happening with our ad campaigns.” 

While data analysis helped Eltsoft validate some of their hypotheses, it also uncovered opportunities according to Jason: “The greatest takeaway for me is that the results are never really what I expect. I am often surprised. Analytics has given us great insights into who our users are, and has provided a very important lesson in the value of surveying our user base. Our simple assumptions are often inaccurate.”

Replicating successful strategies
Eltsoft has developed a way to calculate the value of users by using a combination of AdMob metrics (like ad request values) and Analytics metrics (like user counts and sessions per user). Having Google Analytics in AdMob has unlocked such analysis because the data is available in the same interface.

As a result, Eltsoft can now understand what works best for their users. “For example, we’ve made changes to our apps, and Analytics has really helped us to track the effectiveness of those changes. I would say six months ago, that our success was a mystery. The data said we were doing well, but the whys were not clear. Therefore, we couldn’t replicate or push forward. But today, we understand what’s happening and can project our future success. We have not only the data, but can control certain variables allowing us to understand that data.”

“Google Analytics data is literally a goldmine,” says Jason.

If you want to learn more about how Eltsoft is using Google Analytics and AdMob, download the full case study

Want to learn how to get the most from Analytics in AdMob? Sign up for our free online course, Mobile App Analytics Fundamentals.



Posted by Russell Ketchum, Lead Product Manager, Google Analytics for Mobile Apps

With Google Analytics Premium and DoubleClick: Matalan increases conversion rate 28%

With Google Analytics Premium and DoubleClick: Matalan increases conversion rate 28%

This post originally appeared on the DoubleClick Advertiser blog as part of the with DoubleClick series, highlighting stories and perspectives from industry leaders about how they are succeeding with an integrated digital marketing platform.

As one of the UK's leading family clothing retailers, Matalan must be nimble -- faster decisions mean better customer engagement and more sales. So they worked with Morpheus Media to implement Google Analytics Premium with DoubleClick Campaign Manager. Google Analytics' powerful insights helped Matalan make better business decisions, faster.

Matalan was already using DoubleClick Campaign Manager to centralize their digital marketing and reports. Adding Google Analytics Premium side-by-side showed them campaign effectiveness even more clearly, allowing them to uncover the hidden value of their digital marketing efforts, like transactions where digital advertising had assisted a conversion on another channel.


“It’s really helpful to be able to see one channel that might not be a heavy hitter in terms of revenue or traffic has an impact in creating a conversion on another channel,” says Lee Pinnington, Matalan's Multi-Channel Marketing Director.


With a complete view of their digital marketing ROI thanks to the integration of DoubleClick Campaign Manager and Google Analytics Premium, Matalan was able to put their marketing dollars where they would truly be most effective. And the results were dramatic: a 28% rise in conversion rate and significant growth in both site visits and revenue.


To learn more about Matalan's approach, check out the full case study.

U.S. Cellular reveals true impact of digital media on sales with Google Analytics Premium

U.S. Cellular reveals true impact of digital media on sales with Google Analytics Premium

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.”


Posted by: Suzanne Mumford, Google Analytics Premium Marketing

Rooms To Go Improves the Shopper Experience by Integrating Google Analytics Premium with BigQuery

Rooms To Go, a home furnishing retailer, simplifies the shopping experience by offering completely designed room packages. When the company wanted to better understand how its customers purchase its different furniture and decor variations and add-ons to streamline online customization options, it turned to its agency -  LunaMetrics - who integrated Google Analytics Premium and BigQuery. This approach helped to identify which items customers commonly buy together, leading to smarter and easier customization for its users.

The Google Analytics Premium integration allowed Rooms To Go to:
  • Better understand what their site visitors were purchasing
  • Organize the data and isolate the products that were frequently purchased together in order to discover customer buying patterns
  • Expand functionalities of the website to accommodate these customer patterns—for example, making it easier for users to add extra dining chairs when purchasing a dining room set

Overall, this strategy helped Rooms To Go create a better user experience for its customers, and the company expects an increase in sales because of it. Read the full case study on Think with Google, and learn about being a Google Analytics Premium customer here.

Analytics Pros helps Avvo Gain New Insights with Data Import

Analytics Pros helps Avvo Gain 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 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:
  • 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 

Universal Analytics: Out of beta, into primetime

Universal Analytics: Out of beta, into primetime

Universal Analytics is the re-imagining of Google Analytics for today’s multi-screen, multi-device world and all the measurement challenges that come with it. Since we launched UA in beta, we’ve seen some exciting use cases. Today we’re happy to finally announce: Universal Analytics is out of beta and everyone can use it with the same robust set of features you’re used to with classic Analytics!


Feature parity with Classic Analytics, new reports, better user-centric analysis
When we first introduced Universal Analytics and ran the beta trial, the number one request from our testers was for full access to all Google Analytics features and tools. Bringing Universal Analytics out of beta means that all the features, reports, and tools of Classic Analytics are now available in the product, including Remarketing and Audience reporting.

We’re also gradually rolling out the User ID feature to help you better understand your customers’ full journey. This feature shows anonymous engagement activity across different screens and visits to your site to provide a more user-centric view of your traffic, and help you build a more tailored experience for your customers as well. It will also enable new Cross Device reporting that shows how your users are interacting with your business across multiple devices. 

Additionally, Universal Analytics is also now covered by our Premium service-level agreement, which means that same level of service and additional product features Premium users have come to expect will stay the same when their accounts upgrade to Universal Analytics.

New Cross-Device Reports in GA let you see the full customer journey (click image for full-size).

Time Zone Based Processing: Fresher, more timely data
Today, all properties are processed in Pacific Standard Time. If you’re in a different time zone, this can create a lag in the data you see in your reports. With time zone based processing, you’ll see fresher data in your reports in a more timely manner.

Updates to the Measurement Protocol: User Agent / IP Override 
A top developer request, this feature allows developers to proxy data from devices and intranets, through internal servers, and finally onto Google Analytics. To support this, we added two fields to set the IP address and User Agent directly in the Measurement Protocol. With these features, we are also announcing the deprecation of the legacy mobile snippets. Users should update their code to use the Measurement Protocol

Our early Universal Analytics adopters have already seen some great results. This case study highlights some of the inspired ways our Certified Partner InfoTrust LLC has helped Beckfield College unlock the full capabilities of Universal Analytics including the use of Remarketing and Audience Reporting:

"Once we saw more than 25% of visits to Beckfield College's website were coming from a mobile device, we migrated them to Universal Analytics with plans on leveraging its cross-device tracking capabilities, and better understanding the full visitor journey across devices." -- James Love, InfoTrust LLC

If you use Google Analytics today, get started with Universal Analytics by upgrading your account. Learn more about the process in the Universal Analytics Upgrade Center, including auto-upgrade process, and timeline. 

If you are new to Google Analytics, learn more about Universal Analytics in the Help Center. 

We’ll share more creative implementations, case studies, and Universal Analytics resources in the coming months that we hope will inspire you to continue to grow your business with the insights you gain using Google Analytics. 

Posted by Nick Mihailovski, Product Manager, Google Analytics

Watchfinder clocks 1300% ROI using precision Remarketing with Google Analytics

Watchfinder clocks 1300% ROI using precision Remarketing with Google Analytics

Watchfinder is a leading UK retailer of premium, pre-owned watches. The company was founded in 2002 as an online-only store selling watches from more than 80 premier manufacturers. Today, it has an annual turnover of £25 million and has recently opened a flagship boutique in the London Royal Exchange.


Counting the hours 
Considering the average order value on Watchfinder’s site is over £3,500, the company found buying decisions tended to take time, often spanning weeks or months. In fact, less than 1% of visitors were completing purchases on their first site visit. Watchfinder’s challenge was to re-engage and also maintain a conversation with these visitors, encouraging them to return and make an order. In addition to driving customers back to its site, Watchfinder also wanted to encourage customers to visit its new physical boutique in the London Royal Exchange.

A moment to reconnect
Watchfinder’s agency Periscopix – a Google Analytics Certified Partner – suggested Remarketing with Google Analytics as a great way to reconnect with users. Remarketing with Google Analytics allows advertisers to tap into valuable insights about website visitors who show an interest in products, identify the most relevant audiences, and run ads across the Google Display Network that are tailored to that audience using the industry’s most powerful segmentation capabilities.

Periscopix created 20 highly focused lists of visitors who demonstrated intent but did not purchase. Specifically, lists were based on various aspects of user context such as location, language, and what stage of the purchase funnel they were in. On-site behavior helped establish groups that had spent a certain amount of time on the site or had viewed a certain number of pages. Other lists were created around users who had viewed a specific watch brand on the site.

Additionally, traffic performance analysis across a variety of GA dimensions revealed that certain ISP’s in the London financial district yielded traffic with much higher engagement and above average conversion rates. As a result, Periscopix designed segments around investment banks like JPMorgan and Goldman Sachs to engage with employees at these companies.


Google Analytics’ functionality enabled Periscopix to convey tailored messages to these key groups of interested consumers. For example, London-based users were retargeted with ads encouraging visits to the new London store, while visitors to the .co.uk site from France were retargeted with ads promoting the French site. 

Time well spent
Thanks to clear reporting in Google Analytics, it’s been easy to see the impressive results from Watchfinders’ remarketing campaign. Six months in, Periscopix reveals the return on investment is 1300%. Average order value on the site has also increased by 13%, resulting in 34% lower CPAs than Watchfinder’s non-brand search campaigns. 

Across all tactics used, the remarketing list that produced the highest conversion rates, both in terms of goals and transactions, was made up of visitors who browsed for 10 minutes or more on their initial site visit without purchasing.

Given Watchfinder's early success with Remarketing with Google Analytics across the Google Display Network, the brand is excited to increase investment in this area going forward.

Be sure to check out the whole case study here.

Posted by the Google Analytics Team

Zillow uses Google Analytics Premium to make data-driven decisions

Zillow uses Google Analytics Premium to make data-driven decisions

Google Analytics Premium lets Zillow grow and scale their company.

A host of functions at Zillow use Google Analytics every day… Marketing, business intelligence, design, engineering and usability are using it to drive product decisions, user experience decisions, and business decisions.”
- Jeremy Wacksman, VP Marketing at Zillow

Zillow is the home and real estate marketplace that helps people share vital information about home values, rentals, mortgages and a lot more. Zillow was founded in 2005 and now has over 110 million U.S. homes in its living database. (That name? A combination of “zillions of data points” and the pillows where happy homeowners rest their heads.)
Recently we sat down with Jeremy Wacksman, Zillow’s VP of Marketing, to learn how they’ve been using Google Analytics Premium to help them grow at such an amazing pace. Here’s what he told us:



This comment stands out: “As an Internet company that has reinvented itself as a mobile-first business, analytics across devices is a big challenge for us.”  

A lot of companies are reinventing themselves for mobile today, and we’ve been working hard to make sure Google Analytics Premium can help them measure all those new cross-device journeys. The goal, as always, is to help businesses gather meaningful data, easily discover insights that they can act upon to improve results and boost the bottom line.

Learn more about Google Analytics Premium here.

Posted by Adam Singer, Google Analytics Advocate

Klarna tracks third-party iframe with Universal Analytics’ cookieless approach

Klarna tracks third-party iframe with Universal Analytics’ cookieless approach

Klarna is one of the biggest providers in Europe of in-store credit and invoice based payment solutions for the ecommerce sector. The company enables the end-consumer to order and receive products, then pay for them afterwards. Klarna assesses the credit and fraud risk for the  merchant, allowing the merchant to have a zero-friction checkout process – a win-win for the merchant-customer relationship.


Third-party domains pose a problem
Merchants use Klarna’s iframed checkout solution. The iframe is located on the merchant’s domain, but the actual iframe contents are hosted on  Klarna’s own domain. Browsers such as Safari on iPhone and iPad, and later generation desktop browsers such as Internet Explorer 10 prevent  third-party cookies by default. Many analytics solutions rely on the use of cookies though. In order to prevent the loss of nearly all iPhone visits and  many desktop visits, Klarna wanted to address this problem. 

A cookieless approach to the rescue
Working with Google Analytics Certified Partner Outfox, Klarna found exactly what it needed in Universal Analytics, which introduces a set of features that change the way data is collected and organized in Google Analytics accounts. In addition to standard Google Analytics features, Universal Analytics provides new data collection methods, simplified feature configuration, custom dimensions and metrics, and multi-platform tracking.
“Thanks to Universal Analytics we can track the iframe on our merchants’ domains and be sure we get all traffic.”
- David Fock, Vice President Commerce, Klarna

In Klarna’s new cookieless approach, the “storage: none” option was selected in creating the account in Universal Analytics. The checkout iframe meanwhile uses a unique non-personally identifiable ‘client ID’. These measures cause Universal Analytics to disable cookies and instead use the client ID as a session identifier. Because no cookies are in use, browsers that don’t allow for third-party cookies aren’t an issue at all. 

Virtual pageviews are sent on checkout form interactions. Custom dimensions and metrics are used for tagging a visit, with a dimension  indicating which merchant is hosting the iframe, and a metric showing what cart value the user brings to the checkout.

Complete tracking and assured analysis
With Universal Analytics features, Klarna ensures iframe tracking is complete across all browsers. By using the virtual pageviews as URL goals  and funnel steps, goal flow visualizations are used to find bottlenecks in the checkout flow. The new custom dimensions and metrics together with  ecommerce tracking mean that reports can now be set up to reveal how each merchant’s cart value correlates to its final transaction value.

Be sure to check out the whole case study here.

Posted by the Google Analytics Team

How attribution modeling increases profit for Baby Supermall

How attribution modeling increases profit for Baby Supermall

"Attribution modeling changes everything."

That's what Joe Meier of Baby Supermall told us recently.  If you're looking for alphabets or monkeys on your new baby bedding, Baby Supermall is the place to be. But those products have an unusually long buying cycle. "Our typical customer is a pregnant mother-to-be," says Meier. "They have months to make a decision."

In this video, Meier describes how Google Analytics’ attribution modeling tool let them measure the impact of different marketing touch points before customers finally made a purchase. So they could figure out which of their marketing activities led all those moms (and dads) to visit the Baby Supermall site. It also saved him from the monster 80-megabyte spreadsheets he'd been building as he tried to manually figure those patterns out. 

Result? “We’re spending our money more efficiently than we were before. We know what we’re getting for it,” says Meier. By linking their Google Analytics and Adwords accounts, Baby Supermall was able to see the impact of different keywords and optimize their AdWords ads, bringing in “tens of thousands of dollars in additional sales every week."

He calls the results "groundbreaking." Check out the video:


(PS: Don't miss their site if you happen to like very cute baby bedding.)

Happy Analyzing!

Posted by: Suzanne Mumford, Google Analytics Marketing

Fairmont Gets Deeper Understanding of Social Interactions for Real Results

Fairmont Gets Deeper Understanding of Social Interactions for Real Results

How do you improve social messaging for some of the world's most prestigious hotels? If you're Fairmont Raffles Hotels, you turn to Google Analytics. 

Fairmont is famous for its nearly 100 global luxury hotels, from the original Raffles Hotel in Singapore to the grand Empress Fairmont in Victoria, B.C.  The variety of the properties can make social impact tricky to measure, says Barbara Pezzi, Director of Analytics & SEO.

Charmingly direct, Pezzi says her team tried other social media analytics tools and found that "the metrics were really lame. Number of likes and retweets — that didn't really tell us anything." They wanted to know exactly who they were attracting and how.

Once the Fairmont team began using Google Analytics, they were able to see their audiences more clearly and tailor messages to fit. The results were impressive: a doubling of bookings and revenue from social media. 

Here's the whole story:



"It was a big revelation for everyone" — when it comes to analytics, those are the magic words.

Learn more about Google Analytics and Google Analytics Premium here.

Posted by Suzanne Mumford, Google Analytics Marketing

Intuit Team Crunches its Own Numbers with Google Analytics Premium

Intuit products like Quicken and TurboTax have been putting the power of numbers in the hands of users since 1983.

Which is why we're so pleased that when Intuit wanted to boost the power of analytics for one of their own teams recently, they turned to Google Analytics Premium. The details are in our new case study, which you'll find here.

The study has the full story of Intuit's Channel Marketing Team, which now uses Google Analytics Premium to measure data for multiple business segments. Once they began using it, Intuit discovered that they had been under-reporting the success of their SEO traffic by at least 27% and conversions by up to 200%.  

Those are exactly the kind of vital numbers that Google Analytics Premium is designed to provide.  

Intuit used Blast Analytics and Marketing, a Google Analytics certified partner, to build out their solution, which was configured to match Intuit's own organizational structure. That structure helped Intuit "democratize" its data so that now anyone on the team can get what they need right away, in real time. Instead of the two days it used to take to request and deliver reports, it takes two hours or less.

Simply put, Ken Wach, Vice President of Marketing at Intuit said, “Google Analytics Premium increased the speed and accuracy of actionable data that drives our business.” 


Post by Suzanne Mumford, Google Analytics Marketing

How Certain Affinity used Google’s Mobile App Analytics to improve game design

How Certain Affinity used Google’s Mobile App Analytics to improve game design


Certain Affinity, an experienced independent game developer has recently been working on their first mobile title, Age of Booty: Tactics. Age of Booty: Tactics is an asynchronous turn-based tactics game hybridized with a collectable card game. Certain Affinity wanted a solution enabling them to measure and analyze specific metrics to improve both the pre-release and post-release designs of the game. They researched a number of analytics solutions, but were frequently frustrated by the cost, size, and limited flexibility offered.


Ramping Up Reporting
Certain Affinity has used Google Analytics for website analytics since 2005, and began talking to mobile partners after becoming aware of Google Analytics’ (GA’s) application in mobile gaming. Given their existing experience, the relative cost of the platform, and the extensive feature set, Certain Affinity quickly and easily integrated GA into the game. The early inclusion of GA into the design process resulted in easy access to analytics to assist in influencing direction across design, art, and ultimately production.

UI Optimization
Google Analytics provides an intuitive way to understand engagement across multiple screens and events. By leveraging engagement flow and average screen time analytics, Certain Affinity understood when specific areas within the UI were either too complex or buried to drive the desired behavior. They identified that the storefront was overly complex and required significant streamlining to become easily accessible. Additionally,they found that a number of options within the menus were too complex and lead to users looping within the UI prior to engaging in an actual game. They also were able to reduce screens per session from 15.5 to 8, resulting in a cleaner UI as well as less back and forth in the game.

Gameplay Duration
Certain Affinity wanted to better understand the average duration of play to optimize the experience on mobile. Given that users tend to spend less time gaming on their mobile devices than in the console space, it was vital to ensure the game was consumable and enjoyable in the “bite sized” engagement window.

Certain Affinity leveraged session durations to understand the existing top-level behavior. In analyzing the data,they found that the typical session was over 25% longer in length than was ideal. They tracked events such as turn submission, undo, and return to main menu to identify any behavior that was artificially extending the average duration of play. Certain Affinity then specifically targeted optimization to the areas requiring the most work.

Custom Dimensions
By leveraging Google Analytics Custom Dimensions, Certain Affinity could measure analytics across a number of key metrics in the mobile gaming space including retention, virality, and monetization. While this data was not widely used until launch,the ability to verify collection was instrumental in ensuring a successful soft launch.“The flexibility GA provides is quite amazing. While no analytics provider will ever have everything you need out of the box, it is great to have a solution that allows us to implement our own requirements [through custom variables], so easily!” explains Certain Affinity’s Lead Server Engineer.

You can check out the full case study here.


Posted by Aditi Rajaram, Google Analytics team

Obama for America uses Google Analytics to democratize rapid, data-driven decision making

Obama for America uses Google Analytics to democratize rapid, data-driven decision making

For political campaigns large and small alike, time is of the essence when decisions need to be made. Having quick and easy access to actionable data was essential for President Obama’s data-driven re-election campaign in 2012.


“To keep our digital teams agile, we needed to make consistent and comprehensive reporting available to everyone on a near real-time basis,” says Nate Lubin, Director of Digital Marketing for Obama for America. “Throughout the campaign, Google Analytics helped us democratize our web data, and enabled all of our teams to make key decisions quickly.”

Winning big moments: responding to the debates in real time

The ability to do rapid, real-time optimization was especially important during the Presidential and Vice Presidential debates. Recent research shows that 64% of voters use the Internet to verify or “fact check” a claim made by a candidate, and the presidential debates were a prime opportunity for voters to research the issues being discussed in real time.

“We knew that we needed to speak to our supporters and persuadable voters who were researching online during the debates,” says Lubin. “While we could anticipate some of the issue-related search terms that we would need to target, we couldn’t be prepared for every possibility.” Real-Time reports in Google Analytics provided the campaign a window into voters’ questions and concerns, and allowed them to deliver answers directly from the campaign through search ads.

Real-Time reports in Google Analytics provide instant feedback on site and campaign performance

Using Real-Time reports, the campaign quickly saw which debate-related organic search terms brought the most viewers to the campaign website. They then designed and placed search ads on these terms on Google to direct users to facts about the President’s position on key issues.

For example, when Governor Mitt Romney used the term “binders full of women” during the second Presidential Debate, the campaign team began showing ads on the phrase that linked to a fact-sheet outlining the President’s views on women’s equality. “Real-Time proved that we had an immediate uptick in both traffic and engagement from users searching that term, which affirmed this as a key rapid response strategy,” says Lubin.

Supporting a culture of analysis, testing and optimization

Well before debate time, a culture of analytical rigor and the focus on continual improvement had already been established as an essential part of the Obama campaign team’s success. “Our campaign was effective because our teams had the discipline to relentlessly rely on data to assess performance, test changes and improve,” says Amelia Showalter, Director of Digital Analytics. 

The Digital Analytics group served as a center for driving analysis best practices across teams. Early on, they turned to Google Analytics to help the web, email, and ads teams understand what motivated new supporters to become more vocal advocates and regular donors over time. The team tested various secondary calls-to-action after a visitor’s initial signup or donation to encourage further involvement with the campaign. 

“We found it especially effective to follow an initial signup or donation with a secondary call-to-action to support the campaign in another way,” says Brian Wonch, Digital Analytics Associate. “The flexibility of Google Analytics Advanced Segments and Flow Visualization reports was valuable in guiding our testing efforts to choose the sequence of engagements that best resonated with our audience.”
Advanced segmentation in Google Analytics allows you to isolate and analyze subsets of your traffic.

Dozens of similar online experiments were happening with every web interaction, on every single day of the campaign. Whether it was testing various social sharing options, or testing which customized content to deliver to each supporter, the campaign depended on the measurement capabilities of Google Analytics and the deep integration of data systems across the organization to continuously drive performance improvement across the site.

Empowering decision-making when it mattered the most

The real crunch time for the campaign began in the final month, when it was time to activate supporters to get out and vote as early as possible. Early voting began on different dates for each state, and the campaign placed extra priority on outreach to certain swing states. To help voters easily find their state’s specific voter registration and polling location information, the Obama team developed an interactive, geo-targeted application, and drove users to it from all of their search, display, email and social channels.

Given the fast pace and complexity of the advertising campaigns they were running, the Digital Marketing team needed to use a reliable, consistent and centralized advertising and site reporting platform to collect and disseminate data on a daily basis. “Google Analytics stood out as a simple way to share understandable advertising and site performance data with an unlimited number of users for rapid decision-making,” says Lubin.

While every team member had direct access to the Google Analytics reports, the team’s reporting gurus also innovatively used the new Google Analytics API and Google Apps Script integration to automate, centralize and simplify reporting, provided an overview of all their marketing channels and geo-targeted efforts at a  glance. “This dashboard allowed us to spend less time collecting and cleaning data, and more time optimizing our ads to get supporters to the polls,” says Lubin.

Wonch adds, “As our Get Out the Vote operations launched, the Digital Analytics team needed to make sure that our voting lookup tools ran at as close to perfect efficiency as possible. The segmentation capabilities in Google Analytics helped us quickly identify any combinations of devices, traffic sources and geographic locations that were high priority, but had low rates of loading an accurate polling place.” These insights helped the team target their efforts to test and improve the technical performance of the voting lookup tools so that they could deliver the most accurate and up-to-date information to voters - right through the final moments of Election Day.

The Results

The results from Election Day speak for themselves: a resounding victory, with  nearly every battleground state falling into the President’s column. Numerous  publications, including Politico, the New York Times, and the Wall Street Journal,  have credited the campaigns’ Digital Marketing and Digital Analytics departments for providing much of the winning margin.

“Google Analytics was an essential tool that empowered our team to make informed decisions that influenced the course of our campaign strategy,” says Lubin. “Having the data to understand how supporters and swing voters were engaging online was instrumental for doing our part to get President Obama re-elected.

Check out the whole case study as a PDF here.

Posted by Christina Macholan and Evan Rowe, Google Analytics Team