Google Analytics Solutions: Dezember 2010

Analytics
Tag Management
Experimentation
Attribution
Audiences
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FEATURED

We’ve moved. For new posts about enterprise products, check out the new Google Marketing Platform blog. For information on free products, follow our new Google Analytics products blog. Don’t worry: We’ll still keep this blog around in case you want to check out past posts.

Another Holiday Gift For The Practitioner

30. Dezember 2010

We hope your holiday season is going well, and you're full of good cheer and data driven egg nog (which doesn't really exist unless you love web analytics and have imbibed too much egg nog).
For those of you who really do dig web analytics and use Google Analytics specifically - you're going to really like our next gift. It's from the Santa Claus of the web analytics industry, Avinash Kaushik, the analytics evangelist here at Google. Avinash has written a must-read post that you should curl up with next to a roaring fire while you have time to relax over the holidays. In the post, he's basically done a ton of work for you. It's called 3 Awesome, Downloadable, Custom Web Analytics Reports and it showcases the power of Google Analytics and custom reports. In Avinash's words,

I love custom reports. They allow us to step away from the oppression of standard reports (/data pukes) and bring an increased amount of relevancy, calm and focus to our day-to-day work and to our beloved data consumers.

As you may know, you can create your own reports within Google Analytics. Here's a help article from our blog explaining how. In Avinash's typical style, he makes powerful analysis techniques accessible and understandable, and the best part is that he's created the reports for you allowing you to take action right away. You can click on a link that populates the report template right within your Google Analytics profile. Thanks for the holiday gift Avinash.
To give you a sneak peak and get you salivating to read Avinash's post, the three reports are:

Page Efficiency Analysis Report
Visitor Acquisition Efficiency Analysis Report.
Paid Search Performance Analysis Micro-Ecosystem!

If you're doing web analytics, these reports will be of use both educationally, and practically. Enjoy, and stay tuned for one more gift from Avinash.
Posted by Jeff Gillis, Google Analytics Team

First Holiday Gift: iGoogle Gadget

23. Dezember 2010

The holidays are here, true believer. And we're stuffing your stocking with 3 posts-containing-gifts, and this is the first. The other two will come next week and are delivered by our very own Santavinash Claus.
Close your eyes and get ready - wait, don't close them actually - keep reading, because here it is: a gadget, because you love gadgets. But not just any gadget....As part of our efforts to make your analytics data more accessible, we are announcing the release of the Official Google Analytics Gadget. With it, you can get a quick snapshot of your website traffic and marketing effectiveness directly from your iGoogle homepage. Access any of your analytics profiles and view any of these standard reports, including Visitors, Traffic Sources, Content and Goals, in 7, 30 and 90 day periods.
It's a handy dashboard for Google Analytics.

Users can now add the Official Google Analytics Gadget to their iGoogle homepage here, or by searching the iGoogle Gadgets Directory.

The gadget can also be added multiple times within your iGoogle homepage to view multiple reports at once.

We must thank CPG Brand Marketers for encouraging the development of this iGoogle Analytics Gadget. They are using iGoogle as a Brand Digital Dashboard to mine search trends, news, consumer feedback, and more, in order to help make strategic investment decisions. Now they can easily add Google Analytics data to their brand digital dashboards.
Enjoy, and happy holidays!

Posted by Patrick Tedjamulia, Google CPG Team and Jeff Gillis, Google Analytics Team

Last Web Analytics TV For 2010 - Out With A Bang

21. Dezember 2010

Google Analytics Google ModeratorWeb Analytics 2.0last weeks questions

(0:27) How you can see the top landing page report by keyword.

(1:22) Calculating Avg Time to complete a goal.

(2:11) The recommended way to do internal campaign tracking.

(3:17) Creating funnel reports for different user types.

(5:19) How page title and URL are used in unique pageview calculations.

(6:40) Why you see google as a referral in Google Analytics.

(8:25) Can you use GA to track social networking links without link shorteners?

(9:28) Using canonical URLs to differentiate multiple links on a page.

(10:52) Calculating bounce rate for AJAX sites.

(13:34) Getting campaign data into Google Analytics without using URL parameters.

(14:43) Google Analytics campaign attribution and direct traffic.

(15:54) Working with Custom Variables in website templates.

(17:07) Using Ecommerce tracking for tracking conversions.

(19:02) Is there a way to see data broken down by day of the week?

(19:48) How tabbed navigation effects funnel abandonment.

(21:21) How to track various form selections.

(22:23) Fnding Average number of items per order in Google Analytics.

Apply segments to your funnel reports using PadiTrak

Business Intelligence and Reporting Tools in the App Gallery

Avinash’s blog on how time on site and time on page are calculated

Google Analytics Certified Partnerpublic Google Moderator siteAvinashPosted by Nick Mihailovski, Google Analytics Team

Optimize And Analyze For Mobile, part 3

20. Dezember 2010

This is part 3 of a timely 3 part guest post on mobile analytics strategy and implementation by Feras Alhlou at E-Nor, a Certified Partner in Northern California. Here's part 1, which explained how to look for trends in mobile traffic to your website, and here's part 2 about giving your reports more dollar power.
3. Act on your ROIMore Segmentation. For your mobile traffic (viewable via an advanced segment or a profile you make specifically for mobile traffic), segment by medium (traffic channel) or campaign (e.g. Back To School Campaign). Take a look at these two metrics:

Bounce rate by medium:

click to enlarge

And conversion rate by medium:

click to enlarge

Do more with Google AdWords.

You notice in the reports above that your cpc (paid-search) traffic from mobile devices is not as prevalent as other mediums. Your results show that your mobile site is experiencing a high bounce rate and a low conversion rate - a good indicator that something is very wrong either on your landing page, or in your ads. Either your ads are not bringing in the right traffic, or you're scaring traffic away.

What you're most likely doing is proving that your site is not optimized for mobile device visits.

Fortunately, you can further back this data up within AdWords. Google AdWords now allows more visibility into campaign performance from different devices. In AdWords, in your Campaign reports, click on ‘Device’ in the Segment drop-down.

click to enlarge

In this situation, in the last cell in the rightmost column, you notice a 0.03% conversion rate for your mobile devices (compared to 0.52% on the non-mobile devices) and you know exactly where the problem is.

To fix the awfulness in the conversion rates, here are a few tips:

create a separate campaign for your mobile devices
send traffic to a custom landing page (or to your mobile site if you have one),
and/or better target the mobile traffic (by device, or using the click-to-call feature).

Last but not least and for tor the technically inclined, and to get a more comprehensive perspective on your mobile presence, take a look at the code site page on mobile. If you're developing for a mobile platform, you can use Google Analytics to track the following:

Activity on websites specially tailored for low-end mobile devices
Activity on standard websites accessed from high-end mobile devices
User engagement with a native iOS or Android application (using the Google Analytics mobile SDK)

In addition, there are a number of new niche analytics solutions specifically built for mobile, so keep on the lookout, and see if a specific tool has a feature that you really need. And, for more analytics tips and insights, follow @ferasa on twitter or check out the E-Nor blog.

Happy Analyzing!

Posted by Jeff Gillis, Google Analytics Team and Feras Alhlou, E-Nor

Custom Variables For Your Android Applications

14. Dezember 2010

Google Analytics Mobile SDKcustom variables
We’re pleased to announce the addition of custom variables to the Mobile Analytics SDK for Android. Using the same simple interface, you can now apply custom variables to your mobile usage data, making for dead-easy segmenting of that data when it comes time to analyze usage and optimize your mobile application.

How, you ask, can custom variables be used to optimize an Android application? The same way they help you optimize web applications: by providing actionable context. Some starter ideas for how to segment your Android application users:

Free vs Paid users: What percentage of users went from demo to full version? How long did it take them?
Application Version: What version of your app gained the most users? Which version lost some users? Look at where things went wrong and fix them. Fast.
Platform version: Would bumping up the minimum version of your application cost you some percentage of your user base? Should you stay backwards compatible with cupcake, or focus on the juicy new features?

You can also use custom variables to tell how users interact with your application:

Modes of interaction: UI-wise, do your users use menu-items or long-presses more often?
Help/Tutorial: How many features of your application are explored by users who finished the built-in tutorial? How many get used by those who didn’t? What’s the conversion rate to paid users?
Portrait vs landscape: What mode are people in during most of their interaction with your application?

Thanks to the flexibility of the Google Analytics platform, this information is now available to include in your Android applications. And because it’s Google Analytics, you still have the advantage of analyzing all this data with our web interface, as well as all the data analysis and visualization tools provided by our ridiculously awesome community.

From all of us on the Google Analytics team, we hope you enjoy!

Posted by Alexander Lucas, Google Analytics API Team

Welcome, Google Apps users!

9. Dezember 2010

recently launched improvementgoogle.com/appsgoogle.com/analyticsGoogle Enterprise blogupdates on other newly available servicesPosted by Jeff Gillis, Google Analytics Team and Jeremiah Dillon, Google Apps Team

GA As Networking Tool

7. Dezember 2010

Talk about organic...Read about incredible organic growth below, and how Analytics helped enable it. We love to share these types of stories because they show practical usage cases of finding success with analytics. Enjoy.

Saturday Morning Breakfast Cereal

Weiner uses Google Analytics to better understand those 150,000+ daily visitors. After founding SMBC in 2005, Weiner installed Google Analytics in 2008. "At that time, my traffic was starting to take off, and my old trackers couldn't keep up," says Weiner. "And the other trackers we used couldn't keep up with the quantity of visitors and began reporting absurd numbers. I had heard good things about Analytics so I decided to switch over."

Since making the switch to Google Analytics, Weiner has used the information to track the referral path to his site. By analyzing referrals to his site, he ensures he is not missing out on business opportunities. Because the livelihood of the comic is completely dependent on visitation, it’s crucial for Weiner to open as many doors as possible.

"I have enough traffic now that I might miss the fact that a large blog linked me," says Weiner. "With Analytics, I can find those sorts of links and make contact with the Blogger." In this way, Weiner is able to build relationships with key Bloggers. As an example, Weiner noticed that Reddit.com was routing a significant amount of traffic to SMBC and he gave Reddit a shout out on his blog. Soon after, Reddit co-founder Alexis Ohanian contacted Weiner and is now his publisher. Who knew Analytics could also be a networking tool?

Weiner also uses the Analytics data to build out new entry points. "I can find out which aggregators people use and try to make these aggregators more accessible. For example, I recently added a simple Facebook button under each comic after noticing how much of my traffic arrives from Facebook." To collect this information, Weiner checks the last year of referrals day over day to see what sources are spiking or dwindling.

Weiner’s attention to his Analytics data has also allowed him to make changes to his AdWords targeting. "I recently found that, for reasons unclear to me, Anime blogs tend to produce high quality traffic to SMBC," says Weiner. "I recently ran ads on an Anime site that, according to Analytics, sent about 35 page views per visitor!"

The author of SMBC is now a self-admitted Analytics addict -- he has to give himself a limit on the amount of time he spends in Analytics each day. By monitoring Analytics for crucial information about referral sites, Weiner has been able to open several new doors to his site and he’s built new relationships with other members of the online comic world. Make sure you get your daily dose of cereal!