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Monthly Archives: September 2017
Since the recent developer launch of Data Studio Community Connectors, users have been able to easily connect to and report on data from over 250 new sources.
Partners are also now leveraging Data Studio + Community Connectors as a free and powerful reporting and analysis solution for their customers, with minimal development investment.
We’ve already seen a number of interesting use cases. For example, ClickInsight, a Data Studio certified partner, used Community Connectors to create interactive experiences for the weather forecast in Toronto, the NY Times most popular stories, and real time departures info for the Bay Area Rapid Transit system. They embedded these Data Studio reports in a blog post for anyone to try, Are You Ready to Get Creative with Data Studio Connectors?
Try Community Connectors
We have been working with a growing number of partners that are making it easy for users to directly access all of their data in Data Studio. Partners such as AdStage, Analytics Canvas, CallRail, data.world, Funnel, PowerMyAnalytics, and Supermetrics have enabled easy access to 250 data sets including: Facebook Ads, MailChimp, LinkedIn, Instagram, Pinterest, Reddit, Amazon, and many more available through the Community Connector Gallery.
|Data Studio Community Connectors Gallery|
Easily build your own Community Connector
You can develop your own Community Connectors and use them in Data Studio reports and dashboards. Your connector can fetch data from sources such as:
We’ve made it easy to build your own connector by leveraging the Google Apps Script platform which provides a multitude of services and resources to quickly build and deploy connectors.
To learn more about building a Community Connector visit Getting Started with Community Connectors and the Community Connector Developer Program.
Share, publish or open-source your Community Connector
The reports you create using Community Connectors can be shared with others. In addition, you can let other Data Studio users use your connector. For example, you can directly share your connector with colleagues at your organization or make your connector available for all Data Studio users to find by publishing your connector in the Community Connector Gallery.
Tell us your story
If you have any interesting connector stories, ideas or if you’d like to share some amazing reports you’ve created using Community Connectors please let us know by giving us a shout or send us your story at email@example.com.
As we continue to improve the Community Connector features be sure to regularly check the Community Connector Gallery for new additions that will enable greater access to all of your data in Data Studio.
Posted by Pete Frisella, on behalf of the entire Data Studio team
Streaming data for BigQuery export is here.
What can I do with streaming data delivery?
Why is opt-in required?
What data is included?
How do I get started?
Today we’re happy to announce that data for the Google Analytics BigQuery export can be streamed as often as every 10 minutes into Google Cloud.
If you’re a Google Analytics 360 client who wants to do current-day analysis, this means you can choose to send data to BigQuery up to six times per hour for almost real-time analysis and action. That’s a 48x improvement over the existing three-times-per-day exports.
What can I do with streaming data delivery?
Many businesses use faster access to their data to identify and engage with clients who show an intent to convert.
For example, it’s well known that a good time to offer a discount to consumers is just after they’ve shown intent (like adding a product to their cart) but then abandoned the conversion funnel. An offer at that moment can bring back large numbers of consumers who then convert. In a case like this, it’s critical to use the freshest data to identify those users in minutes and deploy the right campaign to bring them back.
More frequent updates also help clients recognize and fix issues more quickly, and react to cultural trends in time to join the conversation. BigQuery is an important part of the process: it helps you join other datasets from CRM systems, call centers, or offline sales that are not available in Google Analytics today to gain greater context into those clients, issues, or emerging trends.
When streaming data is combined with BigQuery’s robust programmatic and statistical tools, predictive user models can capture a greater understanding of your audience ― and help you engage those users where and when they’re ready to convert. That means more sales opportunities and better returns on your investment.
Those who opt in to streaming Google Analytics data into BigQuery will see data delivered to their selected BigQuery project as fast as every 10 minutes.
Those who don’t opt-in will continue to see data delivered just as it has been, arriving about every eight hours.
Why is opt-in required?
The new export uses Cloud Streaming Service, which costs a little extra: $0.05 per GB (that is, “a nickel a gig”). The opt-in is our way of making sure nobody gets surprised by the additional cost. If you don’t take any action, your account will continue to run as it does now, and there will be no added cost.
What data is included?
Most data sent directly to Google Analytics is included. However, data pulled in from other sources like AdWords and DoubleClick, also referred to as “integration sources”, operate with additional requirements like fraud detection. That means that this data is purposefully delayed for your benefit and therefore exempt from this new streaming functionality.
For further details on what is supported or not supported, please read the help center article here.
How do I get started?
You can start receiving the more frequent data feeds by opting in. To do so, just visit the Google Analytics BigQuery linking page in the Property Admin section and choose the following option:
You can also visit our Help Center for full details on this change and opt-in instructions.
Posted by Breen Baker, on behalf of the Google Analytics team
With more sites moving towards responsive web design, many webmasters have questions about migrating from separate mobile URLs, also frequently known as “m-dot URLs”, to using responsive web design. Here are some recommendations on how to move from separate urls to one responsive URL in a way that gives your sites the best chance of performing well on Google’s search results.
Moving to responsive sites in a Googlebot-friendly way
Once you have your responsive site ready, moving is something you can definitely do with just a bit of forethought. Considering your URLs stay the same for desktop version, all you have to do is to configure 301 redirects from the mobile URLs to the responsive web URLs.
Here are the detailed steps:
- Get your responsive site ready
- Configure 301 redirects on the old mobile URLs to point to the responsive versions (the new pages). These redirects need to be done on a per-URL basis, individually from each mobile URLs to the responsive URLs.
- Remove any mobile-URL specific configuration your site might have, such as conditional redirects or a vary HTTP header.
- As a good practice, setup rel=canonical on the responsive URLs pointing to themselves (self-referential canonicals).
If you’re currently using dynamic serving and want to move to responsive design, you don’t need to add or change any redirects.
Some benefits for moving to responsive web design
Moving to a responsive site should make maintenance and reporting much easier for you down the road. Aside from no longer needing to manage separate URLs for all pages, it will also make it much easier to adopt practices and technologies such as hreflang for internationalization, AMP for speed, structured data for advanced search features and more.
As always, if you need more help you can ask a question in our webmaster forum.
Posted by Cherry Prommawin, Webmaster Relations
Over the past 6 months we’ve launched over 25 new features in Google Data Studio including: making the product free and available globally, adding support for PostgreSQL and MySQL, and providing many new report layout options. Overall feedback has been great!
Now we’re adding new features to make it quicker to access your data.
Community Connectors Developer Launch
We want to make it easy to access all your data within Data Studio. Today we are launching a new Data Studio “Community Connectors” developer program allowing you to visualize data from any source.
Community connectors are created using Google Apps Scripts and are easy to build! (our UX team even built one to monitor bitcoin prices). Once created, a connector can be shared with other users, who can use the connector to access their own data.
Today we have over 10 partners who have built connectors to over 200 sources and we’re excited to welcome more developers and data providers to the Data Studio community. Check out the Community Connector Gallery to explore what our partners built.
Data Studio Community Connector Gallery
Many customers want to bring Data Studio reports into their workflows or publish Data Studio reports on their own website. Now you can embed Data Studio reports in your websites and apps using simple iframe embedding. To see your report in your site, edit it, select Report > File > Embed report, then put the HTML code snippet into an iframe. Embeds can be fully interactive, and support both private, public, and non-logged in access, giving you fine-grained control over who can see your data.This new capability will allow you to share compelling data stories through your public websites and blogs, or share critical insights using your own business applications for no additional cost.
Large organizations and agencies often have access to many accounts; for example, thousands of AdWords accounts, or hundreds YouTube channels. To simplify reporting, the new data control allows you to reuse a single report across all your accounts, dramatically reducing the time it takes to view data in a report. The data control can also be used to templatize reports, allowing viewers to see their data in a report without having to create anything in Data Studio. The data control supports the following connectors: AdWords (Account & MCC), YouTube Analytics, Search Console, DoubleClick Campaign Manager, and Google Analytics.e plan to add support for more connectors in the future.
Data Studio report with AdWords, Search Console, YouTube, and DoubleClick Data Controls
And a few other updates
We’ve also added a couple of additional capabilities. You can now export any chart data directly to Google Sheets. We added a new Google Cloud Storage connector, making it easy to use Data Studio with your data in Google Cloud Storage. We’ve added SSL support for the MySQL connector. We’ve added the ability to see the totals in the table visualization. And finally, we’ve made the product available in Russia.
These announcements make accessing your data within Google Data Studio easier than ever. We’re excited to see what people do with them. For more information, check out:
- Community Connector Gallery
- Community Connector Developer Program
- Report Embedding help center
- Data Control help center
- Google Cloud Storage Connector help center
Posted by Nick Mihailovski, oh behalf of the entire Data Studio team
With users getting more and more impatient with slow mobile pages, developers are increasingly investing in a faster web experience with solutions like Accelerated Mobile Pages (AMP). Billions of AMP pages have been published by all kinds of mobile sites – from news to recipes to e-commerce. With so much AMP content being published every week, Google Analytics continues to evolve to support those of our customers who have adopted AMP.
Today we are excited to be the first supporting vendor to announce a new service, Google’s AMP Client ID API, that will enable the same benefits for AMP pages displayed via Google surfaces. In May of this year we launched a solution to help you better understand your customers’ journeys across AMP and non-AMP experiences that were hosted on your own domain. Google’s AMP Client ID API will enable the same benefits for AMP pages displayed by Google such as in Google Search.
How will this work?
This solution works by allowing your web pages, which may be partially served on Google platforms and partially on your domain, to communicate with each other. This communication happens via a newly introduced Google API and with Google Analytics such that it can understand if a user on your non-AMP pages had ever visited an AMP page displayed by Google. When true, Google Analytics can help you understand user behavior across these two page types as a single cohesive experience.
To get started you’ll have to opt-in to this solution via a code change. The small code change is required on both your AMP and non-AMP websites to enable this as well as an acknowledgement of the new Google Analytics terms for usage of this API.
When will this happen?
The ability to opt-in to this solution is available today and you can find code instructions and new terms here. Please review the documentation and opt-in when you are ready.
Are there any other implications of this change?
Once you opt-in to this solution you will notice changes to some of your metrics. Your user and session metrics will drop down to more accurate counts as formerly distinct users are recognised as the same person, as well as related metrics that will also become more accurate (such as Time on Site and Bounce Rate). And New Users may rise temporarily. This is a function of the product more accurately counting your users. It’s a one-time effect that will continue until all your users who have viewed AMP pages in the past return to your site (this can take a short or long period of time depending on how quickly your users return to your site/app). To get more detail about what may change, please read our help center article.
Opt into this new feature today to get deeper insight into how users are interacting with your AMP pages.
Posted by the Google Analytics team