Friday 26 December 2014

I'm happy to tell you that we've just removed the wait to receive a Google Analytics account. Now anyone with a website can instantly create one for free by simply by visiting google.com/analytics or by clicking on the "Analytics" tab within AdWords. After you create an account, we suggest reading the Installation Guide to get it set up quickly and correctly.

When we founded Urchin we actually had an ad-based business model where we were able to give the product away for free. It didn't last and we eventually went with a paid model. But when our company was acquired in April 2005 we worked with Google to determine a way to give it away for free again, this time with no ads. By doing this, we're able to give all websites -- large and small -- the tools you need to better serve your customers, make more money, and improve the web experience for everyone.

Regardless of how you use Google Analytics, what's important to me is that you're using it at all. In other words, the more you take action based on web analytics data, the better the Internet becomes. That's the underlying philosophy our team shares.

Finally, this represents a very large effort by our engineers and many others at Google, so I'd like to thank them publicly.

On behalf of everyone on our team, thank you for your ongoing commitment, enthusiasm and hard work.

Do you use both Google Analytics and Google AdSense? If so, we'd like to get your feedback on two questions: Which Google Analytics reports do you use most often in conjunction with your AdSense account? And which reports or metrics would you most like to see added to Google Analytics to help you succeed with AdSense?

Tell us your opinions in the Google Group "Analytics Help" which is a forum for Google Analytics users. We've created a topic thread to specifically hear this feedback.

Not an AdSense user yet? Sign up here.

Wednesday 24 December 2014

There are some pretty fantastic resources on the web for people who use Google Analytics, and those interested in learning more. We want to mention a few blogs on web analytics generally and on Google Analytics that we've been reading. We highly recommend these to all of you who use data to back up your online decisions.

ROI Revolution Blog
ROI Revolution is a Google Analytics Authorized Consultant (GAAC). This frequently updated blog contains interviews with web analytics experts, as well as Google Analytics tips and in-depth explanations of reports with screenshots. Great reading. Take a look at these two recent posts:
Start at the Beginning: Making Sense of the Google Analytics Toolbox by Meredith Smith
Understanding Google Analytics' Data Over Time Report by Michael Harrison


GA Experts Blog
A European GAAC affiliated with Omega Digital Media and a very informative Google Analytics-focused blog addressing practical questions and offering some pretty ingenious solutions. Learn about a new filter called "Override Bid Term Filter" that will show you the actual search keywords that brought a visitor to your site, not just the keyword that you bid on in your PPC account, in the recent post How to Get Detailed PPC Keyword Data from Google Analytics

This Just In
Written by Justin Cutroni who works at EpikOne, a one-stop, do-it-all GAAC on the east coast, which has its own informative blog. Justin posts helpful, troubleshooting articles that help clarify Google Analytics and make it even more understandable, useful, and accessible. Check out Justin's recent posts:
Google Analytics: How to Tell When Something is Wrong
Google Analytics Configuration Mistake #3: Third Party Domains


Occam's Razor
Written by Avinash Kaushik, head of web research and analytics at Intuit, and a vocal and visible analytics practitioner, advocate, and thought leader. Every web analyst, marketer, webmaster, IT specialist, and executive should read his recent post: Seven Steps to Creating a Data Driven Decision Making Culture


Tuesday 23 December 2014

One of the nice things about Google Analytics is how easy it is to see ROI for each of the keywords you buy on AdWords. But what do those ROI numbers in your reports really mean?

ROI is (Revenue - Cost)/Cost, expressed as a percentage.
-Revenue is taken from either the value you set as your goal value(s), or from e-commerce revenue values if you have set up e-commerce tracking.
-Cost is currently only derived from your AdWords CPC (cost-per-click) values imported from your AdWords account when you link your Analytics and AdWords accounts with auto-tagging turned on.

An ROI of 0% means that you earned in revenue the same amount of money you spent. An ROI of 100% means that you spent, say, $5, and made $10. In other words, you spent X and received 2X in revenue. A minus sign (-100%) indicates that you lost all of the money you spent. (If your numbers are all -100%, it's probably because you haven't configured e-commerce or defined values for your goals and therefore Google Analytics isn't registering any revenue.)

It's not uncommon to get an ROI percentage of several hundred or even several thousand. These kinds of ROIs simply indicate that your Revenue is many times greater than your Cost. Depending upon your business, you might need an ROI of 1000% just to break even. Let's say that you sell golf clubs online for $500 per set. You spend $100 on the keyword [beginner golf clubs], which results in 5 sales for a total of $2,500.

In this case, the AdWords Analysis Report will show that you've made a 2,400% ROI. But you need to factor in your operating expenses and your production costs to understand how much money you've actually made. For example, if your cost of purchasing or manufacturing the clubs is $350, you've really only made $150 per set x 5 = $750. That gives you an ROI of ($750 - $100)/$100 = 650%.

It's best to use ROI as a guide to your keyword spending instead of as the final answer on how much you've made. Those of you who want to learn more about keyword buying metrics might be interested in this post: what's a visit worth?.

Thursday 18 December 2014

Permasalahan yang di alami para programer yang masih baru pasti yang berkaitan dengan multi seperti login multi, upload multi, dan banyak lah tapi sekarang saya akan bagikan cara upload image multi jadi upload gambar langsung banyak ga satu-satu lagi, mari kita bahas anggap aja codeigniter sudah di configurasi,

Buat controler :


lalu buat view :

upload gambar sudah berhasil trimakasih semoga membantu anda,
jika anda butuhkan scrip untuk program anda saya akan bantu sebisa saya, mari saling belajar bersama,

Friday 12 December 2014

We're continuing to bring you new features and technologies in the design of Google Analytics to provide the best a user experience. With this in mind, starting January 31, 2015 we will no longer support official compatibility of Google Analytics with Microsoft Internet Explorer 9 (IE9). While you can continue to use IE9 after we discontinue support, some features may not work properly going forward. This update maintains our practice of supporting the newest browsers while discontinuing support for the third-oldest version, as we previously announced in September 2013.

We will continue to support the latest versions of Chrome, Firefox, Internet Explorer 10 or higher, Safari and other modern browsers. Of course, you will still be able to measure visits from users of all browsers, including IE 9. We will send further reminders prior to the deprecation, but do advise you begin preparing and implementing plans for this change at your earliest convenience.

Thursday 11 December 2014

Last year we introduced “The Customer Journey to Online Purchase” -- a tool that helped marketers visualize the roles played by marketing channels like paid search, email and display ads in their customers' journeys.

The goal was to help marketers learn more about the customer journeys for their industries. If social makes your customers aware, and email makes them convert -- or vice versa -- you can make sure you're in both places with the right kind of message.

Today we're happy to introduce a new improved version of the Customer Journey to Online Purchase, with a few key enhancements.  We’ve refreshed the data based on millions of consumer interactions, updated the industry classifications, and we’ve split out paid search so you can see the influence of brand and generic search terms on the purchase decision.

In each industry you can now see journeys for small, medium and large companies, which can often be quite different.
Click to enlarge image
For instance, the above image shows the journey for customers of small businesses in the shopping industry. Note that organic search is very often an "assist" interaction for these customers.
Click to enlarge image
Now here's the same journey for large shopping businesses. Note that display clicks and social are strongly assisting interactions -- while display didn’t even appear for the small businesses above. For both small and large businesses, a direct website visit is most likely to be the last interaction. Across industries, the differences from small to large businesses illustrate how different marketing strategies and customer profiles may lead to different buying behavior.

And there's more! Now you can drill down into each marketing channel for a closer look at the role it plays based on its position in the purchase path. Channels that occur more frequently in the beginning of the path are more likely to help generate awareness for your product, while the end of the path is closer to the customer’s purchase decision.
Click to enlarge image
In these charts, for example, we see the different roles that different channels play in the Shopping industry. One interesting insight is that all channels -- even those traditionally thought of as “upper funnel” or “lower funnel” -- occur throughout the purchase path, but a given channel may be more common at particular stages depending on its role (and depending on the industry).

Each marketing campaign and channel may have a different impact on customers depending on when they interact with it. Using what you learn from this tool, you can help adapt your marketing messaging to be more relevant and useful for your customers.

Try the Customer Journey to Online Purchase today. And for more helpful marketing insights, check out Measure What Matters Most: our new guide chock-full of suggestions on how to measure the impact of your marketing -- across channels -- to complement what you learn from the Customer Journey tool and take action to improve your marketing.

Happy analyzing!


Tuesday 9 December 2014

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

Monday 8 December 2014

Last month we published an analysis of how people behave before and during the Thanksgiving holiday in the US. We saw the most important days of the year for retailers, how to take advantage of the top transaction days, and when to take action.

Today we are looking at the patterns of behavior over the holidays and into the new year with the objective of understanding how digital marketers can prepare for 2015.

After looking at data from the previous three years, we found two interesting insights:
  1. User behavior is significantly different from country to country, but very consistent from year to year within a particular country.
  2. The beginning of January can be a great time to offer new deals outside of the US.
Read on to learn more about the analysis we performed and how to take advantage of the trends we found, it will help you get a head start on 2015!

User Behavior Trends
Patterns can tell us a lot about data, they are intuitive and show us a lot of information at a glance. With that in mind, we produced the charts below to show how people behave around Christmas and New Year’s Eve. We wanted to understand the differences between cultures, so we focused on the trends from three large economies: US, UK and France. All the charts show data from December 11 to January 14 for the last three years and the two vertical grey areas represent Christmas Day and New Year’s Eve.


United States: the transactions trend clearly shows that users purchase mostly up to a week before Christmas Day and no improvement is seen in early January, although sessions do return to normal quickly after New Year’s Eve. Publishers should take advantage of this rebound in sessions, while retailers may want to wait on providing deals until sales bounce back fully.

United Kingdom: transactions decline sharply until Christmas and then start rising sharply from December 26, and about a week after New Year’s Eve it raises to levels about the same or higher than pre-holiday, so you might consider creating marketing campaigns and promotions to take advantage of January’s rise. Sessions follow a similar pattern.

France: transactions and sessions follow a similar pattern as in the UK, but with a significant decline during New Year’s Eve. As you can see, there is a major spike in the second Wednesday of January every year, that’s the day Winter sales begin in France! Unlike in the US, January is an important month for French retailers, should we say the French Cyber Wednesday?

Get a head start on 2015
So how can you take advantage of those trends to be more successful during the coming year? Here are some ideas for you to act upon right now:
  1. Look at your own data for previous years to understand the patterns for your existing and previous customers.
  2. Check your Benchmarking reports to learn more about how other websites of your size and in your vertical performed.
  3. Use Google Trends to check trends from previous years related to your vertical and country.
  4. Make sure you match your marketing efforts to your local post-holiday trend.
About the Data & Charts 
In order to perform this analysis, we looked at billions of sessions from authorized Google Analytics users who have shared their website data anonymously (read more).


Monday 1 December 2014

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.