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Google Analytics Alerts: the start of a complete view?

Google Analytics recently added a new feature, called Alerts. At first glance, it’s an elegant way to show someone when a KPI on their site has changed significantly from what’s expected. It’s baselining, applied to all KPIs — even the ones you’re not looking at.

Daily Alerts - Google Analytics

This is a great idea for folks who forget to check their analytics data, because now they can find out about significant events. It tricks you into being a better analyst. It encourages baselining, segmentation, and thinking about your business. But we think it’s the start of something bigger, once it incorporates the things Google and others know about your online presence.

Details, and some juicy UI mockup speculation, after the jump. Continued…

Posted in Social Media, Twitter, Web anaytics, What did they do.


How Twitter’s Retweet creates Pagerank for humans

We’re finishing a busy week in New York, with presentations at both Web2Expo and Interop New York. We had a great time running our first Communilytics Boot Camp, and O’Reilly’s bookstore sold out of our book.

The Communilytics stuff was really interesting; we proposed a new “long funnel” model that incorporates both community metrics (such as followers, amplification, and the like) and traditional analytics (conversion rate, checkout value, and so on.) It’s a holistic approach, and we’ll write it up here soon.

We also looked at message propagation in communities a bit. Here’s a clip from the session, which discusses how the combination of Twitter’s formalized Retweet and an understanding of relevance can create “pagerank for humans” in microblogging platforms that share Twitter’s asymmetric-follow pattern.

Completely independent of this, Alex Bowyer over on Bitcurrent wrote a thoughtful piece on how Twitter should have formalized Retweeting, and some of the issues with the current model.

Unfortunately, there’s some strangeness going on between Youtube and Keynote’s video export, so the last 30 seconds of this are clipped. Basically we make the point that this is how to monetize microblog analytics, either by selling sentiment propagation analysis, finding out who influential proponents and detractors are, or knowing where to display ads and to whom.

Posted in Social Media, Twitter, What are they saying.

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International stores, video advertising, and the Windows 7 launch

We’re in Amsterdam this week, presenting at a Measureworks conference on web performance and optimization and attending a Tweetup.

Our host, Jeroen, told us yesterday that since the introduction of GPSes in Amsterdam, traffic accidents in the narrow-streeted city have risen significantly. Many people are focused on their instruments, rather than looking around them. This made me think of some issues I’d seen with web advertising recently that would have been hard to detect through instruments alone, and underscored some of the shortcomings of a purely instrument-driven analytics approach.

Microsoft Canada's website for the Windows 7 launchWith much fanfare, Microsoft launched Windows 7. By many accounts, it’s a good operating system, despite the widely derided launch parties they tried to encourage (which, to be fair, did get people talking about the launch.) The launch involved a massive online ad buy, as well as a new online store for the company. Two aspects of this launch caught my attention: The differences between regional stores, and the state of video advertising.

Continued…

Posted in How did they do it, WIA, Web anaytics, What did they do.

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Guest Post: How much is enough when it comes to Voice of Customer?

jl1Jonathan Levitt has spent the last 5 years as a pioneer in the voice of customer analytics space. Through his speaking, writing, and evangelism, he was instrumental in legitimizing voice of customer analytics at a time when traditional web analytics still dominated the online business intelligence conversation. Jonathan has worked with world leading brands like Bank of America, Verizon, Dell, Procter & Gamble, Ford, and Reebok and has been featured in several industry publications including 1to1 Magazine, ClickZ, DM News, and MediaPost.

One of the best sources of business intelligence for companies of any size is raw Voice of Customer data.

This is particularly true for start-ups, where early, frequent, and consistent interaction with customers is critical to getting off the ground. The more customer-centric your decision making processes are from day one, the more likely you will get to the next stage in the development and maturation of your business plan.

This explains the recent growth in the selection of free and low cost Voice of Customer collection tools. User Voice, Kampyle, Survey.io, 4Q Survey (disclaimer: I helped conceive and build 4Q) — all of these are examples of popular Voice of Customer collection tools that can provide site owners with a pipeline of cheap and actionable visitor-sourced insights.

Once you put on the VoC practitioner’s hat, however, questions about respondent count size inevitably come up. Simply put, you need a way of knowing how much data is enough.

At what point can you act on the findings coming through your shiny new tools, with full confidence that you have collected a representative sample of your audience? If you’ve been running a User Voice customer feedback tool for 3 weeks and you’ve only collected 20 respondents, is that enough to act on? These are certainly agonizing questions for a data-centric marketer.

Now’s the time to start glancing over enviously at the big sites, because they don’t have this problem. The laws of probability are such that feedback from 500 respondents is usually enough to deliver reliable data at even the strictest confidence intervals. A big site like Dell.com can pull in 500 respondents within a day or two; at that clip, statistical significance comes through in a heartbeat.

But since your traffic generation muscle isn’t likely to match Dell.com’s anytime soon, I’ll let you in on a little secret: for small, startup websites that want immediate answers to their questions, the size of your sample almost doesn’t matter.

Here’s why. Continued…

Posted in Building a new site, VOC, What are they saying, Who's talking?, Why did they do it, startup.

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brilliant example of surveying users about a feature before it is built

lightbulb.jpgThere’s been alot of talk lately on the idea of prototyping and demonstrating a product to solicit feedback.  The catch?  The product isn’t actually built.  This goes hand in hand with the MVP concept practiced by lean startups.

I was on BackType today, and I just witnessed an awesome example of this concept in action.

BackType is a search engine that indexes millions of comments across social media platforms and lets you query for particular topics that interest you.  Cool, right?  I performed a search query for “analytics”, and the resulting page had a small tab called “Trends”.

Curious, I clicked on it and was brought to this page:

backtype feature launchDrat, it’s not released yet!

Brilliant!  BackType has given me an excuse to come back and check to see if the tab is active.  Even better – they were able to collect my expectations before the feature has even been released (or built!).

This is product management crowdsourcing at its finest.

Well done, team BackType.

Posted in Building a new site, VOC, Why did they do it, lean, startup.

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Slides from performance and KPI webinar

We had a good discussion about performance and its impact on KPIs like analytics and conversion with Strangeloop this week. Here are the slides, available for download or viewing, on Slideshare.

Posted in Could they do it, EUEM, RUM, Web anaytics, What did they do.

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Proof that speeding up websites improves online business

conversion rate and order valueDo faster web pages mean better business? Definitely. We’ve seen hard evidence from major web operators like Shopzilla, Google, and Microsoft. But what about other websites? How big an impact does performance optimization have on the business metrics of a typical media or e-commerce site?

Here’s some concrete data on how reducing latency changes the key metrics, such as bounce rate, pages per visit, conversion rate, and shopping cart amount. It’s a pretty detailed discussion, but it if you want to understand the ROI of improving web performance on your site, dig in. If you want to read this more easily, here’s a PDF.

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Posted in Could they do it, Web anaytics, What did they do.

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3 reasons why real time analytics tools are essential

SonarA real time analytics solution lets you see who is currently visiting your website.   You get granular session-level detail (IP addresses, technographic information, geolocation, and sometimes even a username).  They differ from tools like Webtrends, AT Internet and Google Analytics in that they’re not well equipped to deal with trending and goal tracking.

If you run a website, we strongly suggest that you install a real time analytics solution.

Here’s why:

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Posted in Web anaytics, What did they do.


The Adobe and Omniture Acquisition: Some Predictions

For Alistair Croll’s take on the Omniture – Adobe acquisition, click here.

Omniture - Sentiment Over 4 Quarters - SysomosAdobe’s acquisition of Omniture dramatically strengthens Adobe’s ability to optimize and monetize its clients, and Omniture’s ability to pierce real time streaming and online video markets.  Overall,  sentiment for Omniture’s will increase as it is integrated in a strong brand with a proven record of successful acquisition integrations.  The attached picture from the social media listening platform Sysomos shows blog sentiment for Omniture over the last four quarters (Thank to team Sysomos for providing the screenshot).

Expect to see:

Continued…

Posted in Web anaytics, What did they do.


The Adobe and Omniture Acquisition: What It Means

For Sean Power’s predictions on the Omniture – Adobe acquisition, click here.

Adobe has a problem. They make great client software — Flash, Flex, Acrobat — that works with the vast majority of browsers. In fact, it ships with most of them. Despite attempts by Scribd, Silverlight, and others, Adobe’s technology makes the Web a more exciting place.

But Adobe only makes money when they sell the server side of all those tools. And they don’t have a monopoly on those sales. Plenty of software can save Flash or PDF formats.

With the acquisition of Omniture, Adobe may actually have found a way to make money from all those installed clients. It’s relatively easy to instrument HTML: just put in a snippet of code. But doing it in Flash or Acrobat is a lot harder, requiring some coding and instrumentation.

If Adobe makes it easy to track client behaviors in Acrobat and Flash, it can make itself the Google Analytics of the Rich Internet Application world. Done right, there’ll be widgets in the Eclipse-based Flash and Flex developer environments, and in Acrobat authoring tools like Illustrator. Imagine dragging a “Goal” object to a Flex view, or marking a text field as the “transaction value” for a session, or tracking how far down a document a particular reader has scrolled.

Then Adobe can offer tracking and analytics for video and RIAs to those who want it. If they’re smart, they’ll do it for free for clients that don’t have a lot of traffic, but charge for more volume. It’s a great Trojan Horse strategy, and it’ll work if they open up Omniture’s entire suite.

This goes beyond simple analytics, of course. Adobe is uniquely positioned to track the sharing of viral videos, Flash-based games, and forwarded documents, then to tie those back to conversions on the website. It’s the holy grail of Internet marketing, and it requires that a client be deployed across all browsers and embedded in the applications themselves.

There are some important security and privacy issues here, of course. If you thought tracking cookies were bad, imagine what they’re like when they’re inseparable from the document, video, or application itself.

Nevertheless, everyone making money tracking things — from bit.ly, to Doubleclick, to other analytics firms — is going to be watching this really closely. If you wondered how we were going to pay for online media and digital TV, well, now you know.

Posted in Web anaytics, What did they do.



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