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Showing posts with label Google Integrations. Show all posts
Showing posts with label Google Integrations. 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

Simplify your Google Analytics Reporting with Add-ons for Google Sheets

Simplify your Google Analytics Reporting with Add-ons for Google Sheets

It's common for Google Analytics users to use spreadsheets to analyze their Google Analytics data or combine it with another data source. But exporting your data from Google Analytics to Google Sheets is a manual process, and it can be tedious if you run reports frequently or manage multiple accounts. With the release of Add-ons for Google Sheets, getting your Google Analytics data into Google Sheets has never been easier!

Add-ons allow you to extend the power of Google Sheets by automating common tasks and integrating with external services. The Google Analytics Spreadsheet Add-on allows you to access your Google Analytics data, right from within a spreadsheet!



The Google Analytics Spreadsheet Add-on
The Google Analytics Spreadsheet Add-on combines the power of the Google Analytics API with the rich feature set of Google Sheets, making it easier for Google Analytics users to access, visualize, share, and manage their data. With this add-on you can:
  • Query and report data from multiple views.
  • Compute and display custom calculations.
  • Create visualizations and embed those visualizations on third-party websites.
  • Schedule your reports to run and update automatically.
  • Control who can see your data and visualizations by using Google Sheets' sharing and privacy features.
But perhaps the best way to find out what the Google Analytics Spreadsheet Add-on can do is to see it in action. In this short video I introduce the add-on, show you how to install it, and walk you through creating your first report.


If you want to go deeper, you can watch this more advanced video where I explain in detail the process of building a complete dashboard that automatically updates and can be embedded on a third-party website.


If you have more questions about how to use the add-on, check out the documentation. It explains each of its features and configuration options in much more detail.

Supermetrics and Analytics Canvas add-ons
The Google Analytics Spreadsheet Add-on gives users a powerful yet user-friendly way to access their Google Analytics data, but it doesn't solve all business integration needs.

For more advanced business and data-integration solutions, I strongly recommend trying out these two excellent Google Sheets add-ons created by our technology partners:
Both of these add-ons integrate with Google Analytics as well as a variety of other platforms and services such as Facebook, Twitter, Microsoft Office, and many more. Free and premium versions are available. 

Feedback and Support
Add-ons are a great way to automate the process of getting your Google Analytics data into Google Sheets. We hope you take the time to try out these add-ons and see how they can improve your workflow.

If you use the Google Analytics Spreadsheet Add-on, we'd love to know what you think. You can leave a review in the Chrome Web Store, ask any questions you have in the add-on discussion group, or submit feedback directly from within Google Sheets.

Any and all feedback is welcome!

By: Philip Walton, Developer Programs Engineer, Google Analytics

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.

Optimizing AdSense Revenue Using Google Analytics

Optimizing AdSense Revenue Using Google Analytics

Recently Google Analytics launched two important new capabilities for its AdSense integration: AdSense Exits reports and AdSense Revenue as an experiment objective. They both come as a great additions to websites that use AdSense for monetization. In this post I will go over the the AdSense Analytics integration and how it can be used to optimize AdSense revenue.

Integrating AdSense and Google Analytics

Before going further into the wonders of the Analytics AdSense marriage, you should first be sure that your accounts are linked properly. Here is how to do it. First follow the steps in the screenshot below after logging into Google Analytics (Admin => AdSense Linking => Link Accounts): 

AdSense and Analytics Integration (click for full size)

You will be sent to your AdSense account in order to confirm the linking and then you will be sent back to Google Analytics to choose which profiles should include this data. If you have any problems or additional questions, take a look at the AdSense Help Center. After the integration is complete the following metrics will be available on your Google Analytics account:
  • AdSense revenue: revenue generated by AdSense ads.
  • Ads clicked: the number of times AdSense ads were clicked.
  • AdSense CTR (click-through rate): the percentage of page impressions that resulted in a click on an ad.
  • AdSense eCPM: AdSense revenue per 1,000 page impressions.
  • AdSense ads viewed: number of ads viewed.
  • AdSense Page Impressions: the number of pageviews during which an ad was displayed.

AdSense Reports On Google Analytics

Currently, there are 3 out-of-the-box AdSense reports available on Analytics: Pages, Referrers and Exits. You can find them here (direct link to report).

1. AdSense Pages

This report provides information about which pages contributed most to AdSense revenue. It will show each of the pages on the website and how well they performed in terms of AdSense. For each page in the website that contains an AdSense unit we will be able to analyze the following metrics: AdSense revenue, AdSense ads clicked, AdSense CTR, AdSense eCPM, AdSense ads viewed and AdSense page impressions. 

This report provides an interesting view of which page performed best, and it can be used to optimize website content. For example, if you find that posts about celebrities generate more revenue than posts about soccer, you might consider writing more about celebrities (if your main objective is to make money on AdSense.)

2. AdSense Referrers

This report provides information about the performance of domains that referred visitors who generated AdSense revenue. This information is extremely valuable; however, I suggest using a different report, since it provides more in-depth information: “All Traffic”. 

The AdSense Referrers only displays information about websites that generated AdSense Revenue, it does not provide information on other types of traffic sources and campaigns. For this reason, I believe the All Traffic report presents a more complete view. To find the report, go to this page (direct link to report) and click on the AdSense tab just above the chart.

3. AdSense Exits

AdSense Exit report shows the number of sessions that ended due to a user clicking on an AdSense ad. This is an interesting metric as it can show which pages have a "high conversion rate", i.e. the ratio of visits to a page and those that left the website clicking on an AdSense unit through it. If your monetization is made through AdSense this report will give just that: AdSense conversion rate per page.

Optimizing AdSense revenue using Google Analytics

Below is an example of how to use the integration from my Analytics for Publishers eBook. Most websites work with templates and each template may have different AdSense placements; this means that an important analysis would be to compare performance by template (or by category) rather than by page. 

In order to analyze template performance, we will need to create one segment per template. If you want to learn more about creating Segments, check this Help Center article. For example, let’s suppose your website has the following page templates:
  • Analytics pages with URLs structured as example.com/analytics/...
  • Testing pages with URLs structured as example.com/testing/...
  • Targeting pages with URLs structured as example.com/targeting/...
In this case you would create three segments using the dimension Page, each containing its unique pattern: /analytics/ for analytics pages, /testing/ for testing pages, and /targeting/ for targeting pages. Below is an example of how the segment would look for the analytics pages: 

Analyzing template performance using segments (click for full size) 

After creating the segments for all three templates, you will be able to choose all of them in the top-left corner of the screen (just above the chart, see bubble #1 above) to see a comparison between them. Below is a screenshot showing how such a comparison would look like: 

Table comparison metrics for different visitor segments (click for full size)
In the table above we are able to compare pages by all metrics available. For example, we can see that while the Analytics section has higher revenue, this is related to the number of impressions, which is also significantly higher. When we analyze further, we see that the Testing and Targeting sections have a good potential, with the same CTR but significantly higher AdSense eCPM. Based on these metrics we can understand which templates and content types are the most effective. 

As mentioned above, once you find out which pages are performing well and which pages are not, you can use Content Experiments to optimize them. Here is a Content Experiments guide.

Closing Thoughts

Here are a few takeaways for you to start optimizing today!
  1. Understand which content type and subject generates the highest revenue and create content based on this data.
  2. Understand which page templates bring the best results by using advanced segments.
  3. Analyze AdSense performance to learn which segments have a good CTR; this might bring insight into which audience to target.

Analyze Organic Search Engine Marketing with Google Analytics & Webmaster Tools Data

Analyze Organic Search Engine Marketing with Google Analytics & Webmaster Tools Data

There are many ways to measure the effectiveness of organic search engine marketing. We’d like to explore various techniques in a series of posts here on the Analytics blog. Today we’ll talk about understanding organic using landing pages and Webmaster Tools data. 

Today, almost all marketers are investing heavily in creating high-quality content as a way to reach users with information about their products and services. The content can take many forms - from product specific content to brand specific content. The intent is to generate traffic and conversions from a variety of sources, one of the largest of which is often search.

One way to measure the effectiveness of content is to analyze its performance as a landing page. A landing page is the first page a user sees when they land on your site. If it’s great content, and if it’s ranked highly by search engines like Google, then you should see a lot of websites ‘entrances’ via that page. Looking at landing page performance, and the traffic that flows through specific landing pages, is a great way to analyze your search engine optimization efforts.

Begin by downloading this custom report (this link will take you to your Analytics account). This report shows the landing pages that receive traffic from Google organic search and how well the traffic performs. 

Let’s start at the top. The over-time graph shows the trend of Google organic traffic for your active date range. If you are creating great content that is linked to and shared then you should see the trend increasing over time.

When you look at this data ask yourself the question: how well does the trend align with my time investment? Looking at the data below we see that the organic traffic is increasing, so this organization must be working hard to create and share good content.

Organic traffic is steadily increasing for this site. An important question to ask is, “how does this align with my search optimization efforts?”
The table, under the trend data, contains detailed data about the acquisition of users, their behavior on the site and ultimately the conversions that they generate. This includes data like Visits, % New Visits, Bounce Rate, Average Time on Site, Goal Conversion Rate, Revenue and Per Visit Value. 

Using the tabular data I can learn how search engine traffic, entering through a specific page is performing. 

Each metric provides insight about users coming from organic search and entering through certain pages. For example, % New Visits can help you understand if you’re attracting a new audience or a lot of repeat users. Bounce rate can help you understand if your content is ‘sticky’ and interesting to users. And conversion rate helps you understand if organic traffic, flowing through these landing pages, is actually converting and driving value to your business.

Again, we’re using the landing page to understand the performance of our content in search engine results.

Remember, make sure that you customize the report to include goals that are specific to your account. You can learn more about goals and conversions in our help center.  

Another very useful organic analysis technique is to group your content together by ‘theme’ and analyze the performance. For example, if you are an ecommerce company you may want to group all of your pages for a certain product category together - like cameras, laptop computers or mobile phones.

You can use the Unified Segmentation tool to bundle content together. For example, here’s a simple segment that includes two branded pages (I’m categorizing the homepage and the blog page homepage as ‘brand’ pages).


You can create other segments that include other types of pages, like specific category pages (and then view both segments together). Here is the Acquisition > Keywords > Organic report with both segments applied. This helps me get a bit more insight into the types of pages people land on when visiting from Google organic search results.

Plotting two segments, one for branded content landing pages and one for non-branded landing pages, can help you understand your specific tactics.
Regardless of the tool you use, the analysis technique is the same: look at the performance of each landing page to identify if they are generating value for your business. And don’t forget, the best context for this data is your search engine marketing plan. 

Here’s one final tip when analyzing organic traffic. Whenever you create a customization in Google Analytics, like a segment or custom report, don’t use the keyword dimension. Instead use the Source and Medium dimensions. Set the Source to ‘Google’ and Medium of ‘Organic’. It provides the most consistent data over long time periods. 

In addition to using Google Analytics, you can also use the data from Webmaster Tools to gain an understanding of your search marketing tactics. You can link your Google Analytics account and your Webmaster Tools account to access some of this data directly in Google Analytics. If you’re not familiar with Webmaster Tools, check out their help center for an overview or this awesome video.



In general the Webmaster Tools data will help you understand how well your content is crawled, indexed and ranked by Google. This is extremely tactical data that can inform many search marketing decisions, like which content to create, how to structure your content and how to design your pages. The reports are in the Acquisition > Search Engine Optimization section. 

Let’s start by viewing some data using the Acquisition > Search Engine Optimization > Landing Pages report.

Webmaster Tools data is available directly in Google Analytics. You can view the data based on landing page or search query.
Let’s review a couple of metrics that are unique to Webmaster tools: Impressions, Average Position and Click Through Rate. Impressions is the number of times pages from your site appeared in search results. If you’re continuously optimizing the content on your site you should see your content move up in the search results and thus get more impressions.

Average position is the average top position for a given page. To calculate average position, Webmaster Tools take into account the top ranking URL from your site for a particular query. For example, if Alden’s query returns your site as the #1 and #2 result, and Gary’s query returns your site in positions #2 and #7, your average top position would be 1.5 [ (1 + 2) / 2 ].

Click Through Rate (CTR) is the percentage of impressions that resulted in a click and visit to your site. Again, you can see both the impressions and the CTR for every landing page on your site. 

If we’re optimizing content then hopefully we should see our average position increase, the impressions increase and ultimately an increase in click-throughs. A very easy way to observe this behavior is by applying a date comparison to the Acquisition > Search Engine Optimization > Landing Pages report.

Use the Search Engine Optimization > Landing Pages report to understand if your content is getting ranked higher and generating clicks.
What happens if impressions and average position are increasing but you’re not getting clicks? You’re getting ranked better, but what is listed in the results may not get a response from the user. 

There are lots of ways to optimize your content and change what is listed in the search results. You could adjust your page title or meta description to improve the data that is shown to the user and thus increase the relevancy of the result and your Click Through Rate. 

We’ll be back soon with another article on measuring and optimizing organic search traffic with Analytics.

Posted by Justin Cutroni, on behalf of the Google Analytics Education team

Measure What Matters—A Better Approach to Social Attribution

Measure What Matters—A Better Approach to Social Attribution

Webinar on Tuesday 7/16
Register for the webinar here.

When it comes to web analytics, one of the biggest complaints from marketers has long been the lack of technology to measure the ROI of social media. Thanks to our exciting integration between Google Analytics and Wildfire by Google that was first announced at thinkDoubleClick in June, those blind spots are now a thing of the past. This webinar will demonstrate how social media impacts the customer journey and then show you how Google Analytics lets you measure that influence in detail.


We’ll start by showing you the best way to set up your modeling and reporting to include all your social marketing efforts. Then we’ll give you a live demo of the Google Analytics integration with Wildfire. Now you’ll be able to see exactly how each and every social message and page published with Wildfire drives traffic and revenue to your website.

The webinar features Adam Singer, Product Marketing Manager for Google Analytics and Jessica Gilmartin, the Head of Product Marketing for Wildfire by Google. They’ll be joined by Adam Kuznia, Social Media Manager for Maryland Live! Casino, who will share the story of how he built the gaming industry’s largest East Coast social media community from scratch in just six months using Wildfire and Google Analytics, and proved to his management team the ROI of social.

This webinar is Part 1 of a three-part educational series introducing Google and Wildfire analytics integrations, so be sure not to miss it.

Date: Tuesday, July 16, 2013

Time: 10am PDT / 1pm EDT/ 5pm GMT
Duration: 1 hr

Level: 101 / Beginner

Register here.



Webinar Video: Combined Power of AdWords and Analytics

Webinar Video: Combined Power of AdWords and Analytics

Last Tuesday, Rachel Witalec and Simon Rosen, Global Sales Strategy Leads, shared tips for getting more out of your Google Analytics and AdWords accounts by using them together. During the webinar, they showed why it’s important to link your Google Analytics and AdWords accounts (which is now even easier to do) and how to see Google Analytics data in AdWords as well as AdWords data in Google Analytics. They also presented a live demo of the reports and how to use them.

If you missed the webinar, you can check it out here:



Read on below for answers to some of the top questions we received during the webinar:

Why should I link my AdWords and Google Analytics accounts?
Linking your AdWords and Google Analytics accounts is an important practice to ensure the two measurement tools can work together to help you get the most from your advertising. The bottom line is that linking Analytics and AdWords gives you powerful information that can tell you where you should be spending more or less based on real ROI data. When you link accounts, the data can flow both ways - from Google Analytics to AdWords (for example, engagement metrics or remarketing lists), and from AdWords to Google Analytics (for example your AdWords cost data). In particular, you can take advantage of powerful features such as:
We covered this topic in detail during the webinar, so watch the video above to learn more.
    Could you share the list of resources that were provided during the webinar?
    Of course! Here are the links and resources we shared:
    What are the best practices around importing Google Analytics Goals? If i’m using AdWords Conversion Tracking should I also import goals?
    If you’re currently using AdWords Conversion Tracking, there are still benefits to also importing some of your goals from Google Analytics. In particular, some goals (such as engagement goals) can’t be tracked with AdWords Conversion Tracking, so importing these into AdWords can complement your Conversion Tracking data. However, it’s important not to import any goals that you are already tracking through AdWords Conversion Tracking as this can create double-counting and duplication, which would make your conversion data hard to interpret.

    Is it possible to link a My Client Center (MCC) account to Google Analytics?
    At this time it’s not possible to link an MCC to Google Analytics. Each individual AdWords account within an MCC needs to be linked to the appropriate Google Analytics property. Learn more here.

    How do I import Google Analytics engagement metrics into AdWords?
    The process for importing the metrics is straightforward, but it’s important to note that there are a couple of additional steps needed beyond linking the AdWords and Analytics account. The full set of instructions can be found here.

    I have noticed discrepancies between the data in my AdWords and Google Analytics accounts, do you know why?
    AdWords and Google Analytics differ in some very important ways regarding how they measure and report on data. It’s important to understand these key differences, which are outlined here. Additionally, there are key differences between AdWords Conversion Tracking and Google Analytics, which are covered in detail here.

    Can someone help me get more support with AdWords and Google Analytics?
    Yes, Google partners with a global network of certified partners to help. For AdWords, you can get support directly from Google or you can work with a Google Certified Partner to help with your AdWords management. You can learn more about both of those options here. If you’re looking for help with Google Analytics, you can tap into our global network of Google Analytics Certified Partners, who offer paid services for anything from Google Analytics tag implementation to product training to more strategic support. Learn more here.

    What is a tag?
    Tags are tiny bits of website code that let you measure traffic and visitor behavior, understand the impact of online advertising and social channels, use remarketing and audience-based marketing, test and improve your site, and more. The tags we mentioned in the webinar are AdWords Conversion Tracking and Google Analytics. These both help you understand the performance of your digital campaigns. While AdWords tracks the performance of your Google AdWords campaigns, Google Analytics tracks the performance of any traffic to your website -- such as from email marketing campaigns or social media. You can learn more about how they’re different here and through some of the content in the webinar.

    What is a conversion?
    A conversion is an action that a customer takes on your website that has value to your business, such as a purchase, a sign-up, or a view of a key page. These actions are called conversions because a customer's click translated -- or converted -- to business. Think of it as the cha-ching! from your cash register. A conversion happens when someone clicks your ad and then does something that’s valuable to your business, such as an online purchase or a call to your business from a mobile phone. Conversions help you understand how much value your ads bring to your business. You can read more here

    Optimize Your Website with SiteApps and GA

    Optimize Your Website with SiteApps and GA

    Google Analytics excels at collecting an incredible amount of information about how visitors interact with the web and mobile properties of its users. This data provides marketers and analysts who know what they’re looking for with with an incredibly powerful platform to understand what’s working and what’s not. To those who aren’t sure what they’re looking for though, all of this information can be overwhelming and make it easy to take no action at all.

    SiteApps enables businesses to get instantaneous, free recommendations on how to optimize their website based on their Google Analytics data. SiteApps’ technology runs hundreds of automated analyses on its customers’ web data to identify opportunities for improvement. Based on these tailored recommendations, SiteApps then enables businesses to install apps from their marketplace to help solve these problems.


    One of SiteApps’ customers is a family-owned home furnishings designer that was having difficulty maintaining their eCommerce presence while still focusing on the day-to-day operations of their brick and mortar retail store.  Within minutes of signing up for SiteApps, they were able to identify dozens of opportunities for site optimization. By installing the apps that were recommended to them, they were able to create a compelling web presence that increased their conversion rate by 108% and led to 65% more time spent on site by its visitors.  This led to a substantial increase in revenue for the business simply by unlocking the power of their web analytics data.

    Our business is completely based on data. It’s incredibly important to us that customers know - or learn - just how valuable their data is,” says Phillip Klien, co-founder of SiteApps. “We consider Google Analytics the foundation for our platform and use the results to help customers make the most of the data their website produces.”


    SiteApps is free to try and takes a matter of minutes to set-up.  Give it a try today to see what you can uncover from your web analytics.


    Posted by the Google Analytics team

    Segment Your GA Data by Demographics with UserReport

    Segment Your GA Data by Demographics with UserReport

    One of the most complex challenges that marketers face is managing the effective segmentation of their user base. Each of their target audiences has a different set of preferences and the process of creating campaigns based on intuition just isn't effective.

    UserReport is an on-site survey tool that integrates with Google Analytics and tackles this problem head-on. The product providing the ability to use demographic information and traditional research data to optimize acquisition, content and conversions when working with websites.

    UserReport helps its users collect information about their website’s visitors with a free online survey tool that measures usability and key demographics of the site’s users. The product integrates harmoniously with Google Analytics to turn the survey data they collect into actionable insights by merging it with the behavioral data already stored in Google Analytics.



    SAXO.com is one of the largest online book stores in Denmark and utilizes UserReport to identify their highest value demographic segments, create more targeted advertising material and to better understand which online advertising networks they should use for targeting specific groups of customers. By using UserReport, SAXO.com was able to uncover some surprising insights about their customers, including:
    • Men and women have about the same conversion rate, but the average basket size for women is almost $20 higher than it is for men. This made SAXO.com feel more comfortable in supporting a higher CPM/CPC to advertise to niche female audiences. 
    • SAXO.com’s older book buyers have a higher conversion rate than their younger counterparts but the younger buyers’ average basket size is about $40 more than the older users’. A closer investigation revealed that most of these young customers were students purchasing books for classes. This led SAXO.com to focus on targeting the university student market to bring more young buyers into the mix.
    The findings made by SAXO.com through integrating their Google Analytics data with their UserReport survey data has enabled them to create online campaigns focused on bundling unique, focused products and target them at the right customers on the right channels to drive conversions.

    UserReport is free to use and takes minutes to set up. Give it a try to see what you can uncover about your own online audience!


    Posted by John Milinovich

    John is a Developer Program Manager working to build the ecosystem around the Google Analytics APIs. In his spare time he likes to explore San Francisco and cheer loudly during UCLA games.

    Analytics reporting with Google Apps Script at the UK Cabinet Office

    Analytics reporting with Google Apps Script at the UK Cabinet Office


    Guest author Ashraf Chohan works at the Government Digital Service (GDS), part of the UK Cabinet Office. Originally posted on the Google Apps Developer Blog by Arun Nagarajan.

    Recently, when we were preparing the launch of GOV.UK, my team was tasked with creating a series of high-level metrics reports which could be quickly compiled and presented to managers without technical or analytical backgrounds. These reports would be sent daily to ministers and senior civil servants of several government departments, with the data customised for each department.

    We decided to use Adobe InDesign to manage the visual appearance of the reports. InDesign’s data-merge functionality, which can automatically import external data into the layout, made it easy to create custom departmental reports. The challenge was to automate the data collection using the Google Analytics API, then organize the data in an appropriate format for InDesign’s importer.

    In a previous post on this blog, Nick Mihailovski introduced a tool which allows automation of Google Analytics Reporting using Google Apps Script. This seemed an ideal solution because the team only had basic developer knowledge, much of the data we needed was not accessible from the Google Analytics UI, and some of the data required specific formatting prior to being exported.

    We started by building the core reports in a Google spreadsheet that pulls in all of the required raw data. Because we wanted to create daily reports, the start and end dates for our queries referenced a cell which defaulted to yesterday’s date [=(TODAY())-1].


    These queries were dynamically fed into the Google Analytics API through Apps Script:
    // All variables read from each of the “query” cells  
    var optArgs = {
    'dimensions': dimensions,
    'sort': sort
    'segment': segment
    'filters': filters,
    'start-index': '1',
    'max-results': '250'
    };

    // Make a request to the API.
    var results = Analytics.Data.Ga.get(
    tableId
    , // Table id (format ga:xxxxxx).
    startDate
    , // Start-date (format yyyy-MM-dd).
    endDate
    , // End-date (format yyyy-MM-dd).
    endDate
    , // Comma seperated list of metrics.
    optArgs
    );
    Next, we created additional worksheets that referenced the raw data so that we could apply the first stage of formatting. This is where storing the data in a spreadsheet really helps, as data formatting is not really possible in the Google Analytics UI.

    For example, the final report had a 47-character limit for page titles, so we restricted the cells in the spreadsheet to 44 characters and automatically truncated long URLs by appending “...”.


    Once the initial formatting was complete, we used formulas to copy the data into a summary sheet specially laid out so it could be exported as a CSV file that merges seamlessly into InDesign.


    Below is an example of how a report looks on publication. Nearly everything on the page was extracted from the API tool, including the department name and the day number. Because most of the data was automated, it required minimal effort on our part to assemble these reports each morning.


    We discovered that an added bonus of pulling data into a Google spreadsheet was that it also allowed us to publish the data to a Google site. This helped us display data to stakeholders without adding lots of users to our Google Analytics account.


    The tools let us present Google Analytics data in deeper, more creative ways. That’s really important as we share information with more and more non-technical people, whether they’re inside GDS or beyond.

    Posted by John Milinovich, Google Analytics team