Thursday, 19 November 2009

We're always really excited to see what developers are building with Google Analytics. Here's an amazing visualization using the API from our friends at Juice Analytics. Now, this is what we're talking about when we say this stuff is "Off the charts!" (The API team t-shirt slogan). :-)

At Juice, we work with web analytics APIs large and small, from Google, comScore and Omniture. The Google Analytics API is our favorite. It powers the world's best, most widely deployed analytics site. And it powers Juice products like Concentrate (innovative search analytics) and Vasco de Gapi (a tool for exploring the Google Analytics API).

We were approached by the Google Analytics API team to explore new ways of looking at data with the API, and we were excited by the possibilities. We've been working on our own visualization framework, JuiceKit, that integrates the power of the Flare Visualization Library with Adobe Flex.

The result is Analytics Visualizations, two visualizations powered by the Google Analytics API that are free to use. You just need a Google account with access to Google Analytics data to explore your own data. Here are the details about the visualizations, called Referrer Flow and Keyword Tree.

Referrer Flow

Curious about what sites are linking to you and what content is benefitting the most? The Referrer Flow visualization answers those question and shows how results change over time. It's a stream of daily treemaps showing pageviews and bounce rates for various groupings of your website's pages. You can group by combinations of page title, referrer and url.
Here is a brief video introduction:



Clicking on the treemap will filter all the data by the page, referrer or url that you clicked on. Click again to clear your filter.

Keyword Tree

A list of top keywords isn't enough to really understand how people are searching and finding your site. The Keyword Tree visualization displays the most frequently used search keywords and how they are used together. Here's a video overview:



You'll see a frequently used search term at the center and the words and phrases that are most often used in combination with that word. Pick a different starting word by typing into the box in the upper right or selecting from the top word across the bottom of the screen. The words are sized by their frequency of use and colored by bounce rate (or % new visitors or average time on site). Roll over a word to see details about that combination of connected words.

Depth and Discovery

In designing these visualizations we focused on the question: how can we let users uncover the unexpected? That means designing targeted visualizations focused on limited well-defined issues. The Referrer Flow monomaniacally focuses on a single question "What pages are people viewing on your site and where are they coming from?" The Keyword Tree is laser-focused on word ordering and what that means for keyword performance.


The Google Analytics reporting tool is a great general-purpose reporting solution. It gives the advanced users everything they need to answer specific questions. However, its generality means it has limited ability to focus on two issues; depth and discovery.

The Google Analytics API is Google's solution to this problem. It's an opportunity both for businesses like ours that can create new ways of analyzing data, and for large sites that can use the API for integration, custom analytics, and more.


Thanks, Juice! We continue to be impressed by the new solutions developers are bringing to market by leveraging the Google Analytics Platform. If you have developed a useful new tool or integration on top of Google Analytics, drop us an email at analytics-api@google.com. If it's innovative and useful we'll highlight it to our readers on this blog.


Tuesday, 17 November 2009

The FeedBurner team has just announced an integration with Google Analytics. We know what many of you are saying. "About time!" We'll take it.

If you are using both Google Analytics and FeedBurner, you will automatically see campaign attribution for item clicks tracked by your AdSense For Feeds or your Google FeedBurner account. To read more and get details, please see the blog post here and take a look at the below image:

It works in the same way as URL tagging. You can see how many people click through to your site from the content sent by you in your feeds. FeedBurner is now automatically inserting Google Analytics tracking codes into the URLs of your items, or content. For instance, if you publish a blog and a subscriber reads it and then clicks through to your site, you will see that the source of that visit is Feedburner. And as you can see, it gives even more granular information, such as the type of feed reading software or email.

Taking a step back. What is a feed? From the help article, feeds "are a way for websites large and small to distribute their content well beyond just visitors using browsers. Feeds permit subscription to regular updates, delivered automatically via a web portal, news reader, or in some cases good old email. Feeds also make it possible for site content to be packaged into "widgets," "gadgets," mobile devices, and other bite-sized technologies that make it possible to display blogs, podcasts, and major news/sports/weather/whatever headlines just about anywhere." The most popular types of feed formats are RSS and Atom feeds.

If you're publishing content like this blog, then feeds are probably half the story. Feed subscribers are a very important audience to be aware of. If people are really interested in what you have to say, they'll subscribe to your feed or RSS so they can be automatically updated every time you publish new content. They don't want to miss it, and don't want to have to keep visiting your page to check if you've published new content. FeedBurner is the way you can measure how many people are using your feed and who they are. It's could be called Google Analytics for feeds :-) Or Google Analytics could be called web...analytics...burner?

Anyway, FeedBurner shows you not only how many subscribers your feed has, but also metrics like geography and reach, with a breakdown by each piece of content (or "item") you publish. It also tells whether they clicked on a link in that content or went to the actual piece of content on your site. You can also see where the subscriber is reading your feed; whether in email or some kind of feed reader, such as Google Reader.

Another thing to be aware of is AdSense For Feeds, which allows you to monetize your feeds by placing AdSense ads in them.

This integration is the first step towards using these two very similar tools together. You still need to log in to FeedBurner to actually see how many subscribers you have and the rich detail around your feed usage FeedBurner provides.

Friday, 13 November 2009

How would you like to have 24-hour a day access to a dedicated assistant who is focused exclusively on your site's analytics? Your assistant would be so diligent and detailed that they wouldn't miss a thing. Sound too good to be true? We're giving you one. Say "Hello" to Analytics Intelligence.

Your new hardworking assistant, Analytics Intelligence, can't replace you or a professional analyst. But, it can find key information for you and your professional analysts -- so that your team can focus on making strategic decisions, instead of sifting through an endless sea of data.

Analytics Intelligence constantly monitors your website's traffic. Anytime something significant happens, it adds an automatic alert in your Intelligence reports. If your bounce rate suddenly jumps on one of your referrals, Analytics Intelligence creates an alert. Of course, it's up to you to go find out that the bounce rate jumped because someone inadvertently changed the landing page. But you might not have noticed that there was a problem that needed fixing if your trusty assistant hadn't alerted you.


Behind Analytics Intelligence is a sophisticated algorithmic intelligence engine that detects any anomalies in your traffic patterns. That means it's smart enough to know the difference between a change that's actually part of a larger trend versus a change that you might need to look into. But, from a user perspective, Analytics Intelligence couldn't be simpler.

Navigate to the Intelligence reports and you'll see three reports -- Daily Alerts, Weekly Alerts, Monthly Alerts. Daily Alerts contains all the alerts that are based on daily data. Weekly Alerts contains alerts based on weekly data. Monthly Alerts contains, you guessed it, alerts based on monthly data.

When you look at your alerts, you'll notice that your trusty assistant has already gone through your historical data and posted alerts. This highlights a key feature of Analytics Intelligence: you don't have to do anything -- alerts automatically get posted to your account.

The best way to come up to speed on Analytics Intelligence is to take a look at the alerts that are being created for your data. You can learn everything you need to know about how to interpret your alerts in this 2-minute video.

You can also instruct your assistant to be on the lookout for specific things that you want to monitor. Let's say you are running a billboard campaign in New York's Times Square. You want to be proactively informed regarding how the campaign is impacting traffic from New York. To do this, go the Manage Intelligence Alerts page,


and set up a custom alert (see the example, below).


You might even want to set up a second alert that checks for decreasing New York traffic, so you can see if the campaign is starting to wind down.

You'll then receive a custom alert, posted in your Daily Alerts, whenever one of these things happens. You can be notified by email as well, so you'll know what's going on even if you're not checking your reports.

If you're ever unsure about how to set up an alert, try starting with one of the templates on the Manage Intelligence Alerts page. Just click Copy, and then modify and rename the alert to fit your needs.



As with automatic alerts, the best way to learn about custom alerts is to try them out on your own data. You can also refer to the articles on Analytics Intelligence in the Google Analytics Help Center.

Sign in to your account to try it out. It's time to meet your new assistant!