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Monthly Archives: December 2013
Ibarat ikut balapan, lomba blog teranyar dari BLOGdetik, ‘Lomba Blog Motor Canggih, Irit dan Advance’, sudah masuk lap akhir. Meski posisi Bloggerwan tertinggal dan tidak mungkin dapet kaos eksklusif dari PT. Astra Honda Indonesia tapi semangat untuk melahap tingkungan masih terjaga. Apalagi mengejarnya pakai motor Honda CB150R Streetfire, tidak bakal meleleh niat untuk mencapai ke garis finis.
Motor CB150R Streetfire merupakan motor terbaru Honda di segmen motorsport. Dengan teknologi advance dimana canggih dan irit menjadi kata kuncinya, motor CB150R Streetfire bisa menjadi bintang di kelasnya. Continue reading
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
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
Now that 2013 is almost over, we’d love to take a quick look back, and venture a glimpse into the future. Some of the important topics on our blog from 2013 were around mobile, internationalization, and search quality in general. Here are some of the m… Continue reading
Webmaster level: advanced Just over a year ago we introduced a new API for website verification for Google services. In the spirit of keeping things simple and focusing our efforts, we’ve decided to deprecate the old verification API method on Match 31… Continue reading
Free Games Online: Angry BirdsFree Games Online: CaturFree Games Online: BowlingFree Games Online: Batman Continue reading
Viewing your site content in logical groups is important for sites and businesses of all types. It lets you understand how different categories of products are working together and the buckets that generate the most revenue. Or, if you run a news site understand which categories are the hottest and most in demand. Some of you have been analyzing these things in the past via Advanced Segments but we want to make this even easier and more useful across the product. That’s why we’re excited to launch Content Grouping.
Content Grouping allows sites to group their pages through tracking code, a UI-based rules editor, and/or UI-based extraction rules. Once implemented, Content Groupings become a dimension of the content reports and allow users to visualize their data based on each group in addition to the other primary dimensions.
We’ve been hard at work refining Content Grouping based on tester feedback to create a simplified experience that has been unified with the familiar Channel Grouping interface. Content Grouping supports three methods for creating groups: 1) Tracking Code, 2) Rules, 3) Extraction. You can use a single method or a combination of all of them.
This will help you wrangle those long lists of tens, hundreds or thousands of URLs, most of which have a tiny portion of the pageviews (or entrances, exits, etc) each one being individually not interesting, but together telling a meaningful story. We would like to help you grasp and represent this data in a grouped format, helping you understand the overall areas that the website owner has (e.g. “product pages”, “search pages”, “watch pages”).
Content Grouping lets you group content into a logical structure that reflects how you think about your site. You can view aggregated metrics by group name, and then drill in to individual URLs, page titles, or screen names. For example, you can see the aggregated number of pageviews for all pages in /Men/Shirts rather than for each URL or page title, and then drill in to see statistics for individual pages.
Watch the below video to learn more:
Be sure and visit our Help Center to learn how to get started with Content Grouping today.
Posted by Russell Ketchum, Google Analytics Team
Webmaster level: allContent on the Internet changes or disappears, and occasionally it’s helpful to have search results for it updated quickly. Today we launched our improved public URL removal tool to make it easier to request updates based on changes… Continue reading
The following is a guest post by Benjamin Mangold, Director of Digital & Analytics at Loves Data, a Google Analytics Certified Partner.
Earlier this year, the team at Loves Data used Universal Analytics and the Measurement Protocol to measure their caffeine consumption and tie it to the team’s productivity. Our next challenge: measuring our team’s movement into Google Analytics. With the help of an Xbox Kinect, movement recognition software, and of course the Measurement Protocol, we started getting creative!
Business Applications and Analysis Opportunities
So measuring movement is fun and although we can measure total and unique dance moves you might be wondering about the business applications. This is where the power of measuring offline interactions can really start to be seen. The Measurement Protocol enables business applications such as:
- Measuring in-store purchases and tying purchases to your online data
- Understanding behaviour across any connected device, including gaming consoles
- Comparing offline billboard impressions to online display ad impressions
- Getting insights into your audience’s online to offline journey
Once you have tied your online and offline data together you can begin to analyze the full impact of your different touch points. For example, if you are collecting contact details online, you can use Google Analytics to then understand who actually converts offline, whether this conversion is attending an information session or making a purchase at a cash register. The analysis possibilities made available by the Measurement Protocol are truly amazing.
Since we launched the Structured Data dashboard last year, it has quickly become one of the most popular features in Webmaster Tools. We’ve been working to expand it and make it even easier to debug issues so that you can see how Google understands the marked-up content on your site.
Starting today, you can see items with errors in the Structured Data dashboard. This new feature is a result of a collaboration with webmasters, whom we invited in June to>register as early testers of markup error reporting in Webmaster Tools. We’ve incorporated their feedback to improve the functionality of the Structured Data dashboard.
An “item” here represents one top-level structured data element (nested items are not counted) tagged in the HTML code. They are grouped by data type and ordered by number of errors:
We’ve added a separate scale for the errors on the right side of the graph in the dashboard, so you can compare items and errors over time. This can be useful to spot connections between changes you may have made on your site and markup errors that are appearing (or disappearing!).
Our data pipelines have also been updated for more comprehensive reporting, so you may initially see fewer data points in the chronological graph.
How to debug markup implementation errors
- To investigate an issue with a specific content type, click on it and we’ll show you the markup errors we’ve found for that type. You can see all of them at once, or filter by error type using the tabs at the top:
- Check to see if the markup meets the implementation guidelines for each content type. In our example case (events markup), some of the items are missing a
nameproperty. We also surface missing properties for nested content types (e.g. a review item inside a product item) — in this case, this is the
- Click on URLs in the table to see details about what markup we’ve detected when we crawled the page last and what’s missing. You’ll can also use the “Test live data” button to test your markup in the Structured Data Testing Tool. Often when checking a bunch of URLs, you’re likely to spot a common issue that you can solve with a single change (e.g. by adjusting a setting or template in your content management system).
- Fix the issues and test the new implementation in the Structured Data Testing Tool. After the pages are recrawled and reprocessed, the changes will be reflected in the Structured Data dashboard.
We hope this new feature helps you manage the structured data markup on your site better. We will continue to add more error types in the coming months. Meanwhile, we look forward to your comments and questions here or in the dedicated Structured Data section of the Webmaster Help forum.
Posted by Mariya Moeva, Webmaster Trends Analyst
“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.)
Posted by: Suzanne Mumford, Google Analytics Marketing