"web-analytics" via S.Hamel in Google Reader

TweetLevel – Twitter Analytics @ Edelman

2009-11-13T05:02:07Z

Edelman sure has been active over the last day – yesterday they released a Digital Brand Index with Brandtology and today …. TweetLevel.

It’s interesting that Edelman comes up with it’s own Twitter Analytics – and blurs the line of what PR firm is (sure, a lot of PR firms have their own backend analytics, but I haven’t seen many, or any, play in the public arena … with their analytics …. Edelman PR just did ). The obvious benefit of offering Twitter Analytics to the public is the data Edelman will collect – much in the way that Google Analytics and Yahoo! Analytics offer their platforms for free – often to collect data that makes their advertising better.

I don’t know if all the factors above should be weighted equally – otherwise, the factors themselves are the right ones to use, as far as I can tell.

The other thing have TweetLevel does is effectively increase the Edelman Brand and it’s intellectual products such at the Edelman Trust Barometer – of which the trust score listed in TweetLevel, is a derivative.

I wonder if Edelman, in releasing TweetLevel to the public, is issuing a direct challenge to other PR firms to innovate? I think so.

At any rate, collecting the information using their analytics tool could lead to more case studies – and more of feeling of Trust for Edelman – and that’s a good thing, I would think.

As far as the scores – I’m not sure if they are really that meaningful – however I don’t mind being just a little less influential than @Matt_McGowan and @jowyang. Also, note there are some features Edelman temporary disabled such as “Location”, “Job Category” and “Industry“, each had sub-levels, and they’re clearly trolling for more information – information I’m sure they’ll use at some point.

There’s also tips on how to improve your scores – though I rarely look at that stuff – I feel the whole point of these metrics is measure your actual activity – I don’t want to change my behavior just to up my scores – I would take that to be “artificial” and … who cares, anyway, what your, or my score on TweetLevel is?

Perhaps, the main point is to engage people – Tweetlevel does that.

Test&Target Campaign Measurement

2009-11-12T21:06:22Z

Last time around, I promised an in depth look at how we measure campaigns in Test&Target as a way to illustrate state-based measurement. Today I deliver. My goal is for you to understand how the application works, why campaigns are an important measurement, and why we measure them the way we do.

However, before we dive into the measurement, you’ll need a basic (and I do mean basic) understanding of how Test&Target works. If you’re already a Test&Target customer or you’re familiar with what it does and how it works, skip down to the What’s Important section.

Test&Target

For the official version of what Test&Target actually is/does, check out the Omniture site, but here’s my over-simplistic version.

Test&Target is an A/B testing, multivariate testing, and content targeting tool that allows you to try out different versions of content/creative/offers on your site. You can also see which segments of your audience respond to the different versions, then target the top performing versions to the segments that responded. You can manage each step along the way, or put in your different versions of content and put it on auto-pilot.

Each campaign that you run can have one or more experiences you want your audience to see. These experiences can be on one page or span multiple pages on your site. They can be targeted to a fixed percentage of your audience, a specific segment of your audience, the entire audience, or some combination of the above.

When your pages load, a request is made to Omniture. Omniture determines which version of content (if any) to show to that visitor based on the way your campaign is set up. Then the content (or offer in Test&Target lingo) is returned to the page.

What’s Important

Omniture is not a retail shop (shocking I know), our revenue is driven by subscription contracts. For Test&Target, those contracts are for Mbox Requests. Mboxes (marketing boxes) are the areas of the site where Test&Target will place the alternate content. Obviously we want to measure the number of Mbox Requests, but those are transactional and while the data itself is interesting, there’s nothing inherently fascinating about the measurement method.

Active Campaigns, however, is state-based and much more interesting in terms of how we measure it. An Active Campaign is a campaign that is live and running right now on a Customer’s website.

More Active Campaigns means tests are running, offers are being served, visitors are getting relevant content, and customers are seeing value from the product (all good things). Fewer Active Campaigns means the opposite. If a customer is not running many campaigns, that indicates they’re not using the product. If they’re not using the product, it’s a safe bet that they’re not getting the promised value, which is something we like to avoid.

If a customer was running 22 campaigns yesterday and launched 2 more this morning, then our measurement will reflect the additional 2 campaigns and a growth rate of 9.1%. Similarly, if 3 campaigns were turned off or completed, we would see the attrition rate (or negative growth rate if you prefer) of 13.6%.

Measurement Methodology

State-based metrics are inherently different than transactional metrics because we can’t just add them up to look at them. We’re looking at these as of a point in time, and then trending them over time to see growth and attrition. So we take a measurement every day and record it. We probably won’t look at it every day, but daily granularity lets us aggregate to weeks, months, quarters, and years as needed. If we only had weekly data we couldn’t aggregate properly. Daily granularity also preserves our ability to drill into the data when we see abnormalities at the weekly or monthly level.

So where do we actually measure this? For this kind of thing, we rely on plain old databases and timed processes (cron jobs for the technical folks in the audience). At the end of every day, when all the day’s data has rolled in, there is a computer process to run a few queries on the back-end databases to collect the data we want. There are a number of data points we collect and one of them is Active Campaigns per Customer.

Once the data is in our hands, there are a few options at our disposal get the data into SiteCatalyst. You can use the standard XML-based Data Insertion API, the new PHP measurement class, or a Data Source of some kind. Implementation will obviously vary depending on which route you go. I went with the PHP measurement class in a timestamped report suite, picked a conversion variable (eVar) to hold Customer Name, and picked a conversion event to hold Active Campaigns. We must also send in a Day Counter event (1 event per day) and I’ll get to that in more detail in a moment.

We then turned the Active Campaign event into a Numeric event instead of a Counter event (through the Admin Console). Numeric events can count up by arbitrary numbers that you pass in, rather than just counting by one. That means I spend only one server call per customer even if they’re running 25 campaigns. These processes are all run automatically in the wee hours of the morning and all the data is processed and ready to be looked at by the time I roll out of bed.

Reporting

There are a few things to keep in mind when you report on this kind of data, since it does differ from standard transactional data. First and foremost, you must always keep granularity in mind.

For an example, above, is the number of Active Campaigns that one of the Omniture marketing teams is running for the month of October (to see the results of some Omniture campaigns, you can play this game). Keep in mind the state-nature of the report, and you can see that they’ve got around 100 campaigns running each day with some growth in the latter end of the month. If I look at this on a weekly basis then it would tell me that there are around 700, which is obviously not correct (in addition to the misleading partial week).

Monthly suffers the same problem, but to the tune of 30k Active Campaigns. In fact, any time period greater than a day dramatically inflates the numbers. If this is all we had, our analysis potential would be rather limited, but not to worry. To the rescue comes the Day Counter event that I mentioned a moment ago. By creating a calculated metric that divides Active Campaigns by Total Day Counters (700 / 7 or 31,000 / 31), we get an Avg Active Campaigns metric that can be freely applied to any time frame.

Looking at the same report with my Avg metric yields the following:

Much better. Much easier to see the overall trend here with the growth displayed nicely (and accurately). The number of Active Campaigns this team is running is increasing over time. The fact that they are running more and more campaign indicates to me that they are realizing the value of the product and are trying different tests to increase their ROI. My hope is that as they complete one test they get some interesting results which drives one or more additional tests to increase learnings about their audience or to target particular content to a segment of their audience.

If you have any questions about how state-based measurement could apply to your business or need some help interpreting the results, feel free to email: ben / dot / robison / at / adobe / dot / com. You can also find me on Twitter (http://twitter.com/ben_rob).

Looking help with google anaylitics

2009-11-13T00:48:26Z

I have my site on google analytics, but for some reason, I am unable to get funnels and goal work. Can anyone help me Ruchit Connect more, do more and

Beyond Web Analytics Episode 1

2009-11-13T00:46:27Z

Beyond Web Analytics ? Episode 1 Recorded 11/11/2009 Hosts: James Dutton, Adam Greco, Ben Gaines, Rudi Shumpert In this inaugural episode James, Adam, Ben, &

Facebook flash and Google Analytics

2009-11-13T00:43:49Z

Has anyone used the GA AS3 library to code a flash piece that is used on facebook? Does face book allow the swf files that have GA in them or can facebook

Talk with the big brains at Webtrends. Technical Support Custom Repo

2009-11-13T00:43:43Z

Talk with the big brains at Webtrends. Technical Support Custom Report Training and Town Hall forum. http://bit.ly/1JEunC [Non-text

Facebook Keeps Someone Out of Jail (For Once)

2009-11-12T23:00:36Z

Usually, when we see Facebook and arrest in a story, the story is filed under The World’s Dumbest Criminals. Like the guy that made fun of his DUI charges by posting pictures of himself in a jailbird costume. Or the burglar who logged into his Facebook account at the victim’s home. Or the woman who violated a restraining order by poking her victim.

But this time, Facebook is finally saving someone’s bacon. Or, oddly enough, his pancakes. As the New York Times says,

The message on Rodney Bradford’s Facebook page, posted at 11:49 a.m. on Oct. 17, asked where his pancakes were. The words were typed from a computer in his father’s apartment in Harlem.

At the time, the sentence, written in street slang, was just another navel-gazing, cryptic Facebook status update — meaningless to anyone besides Mr. Bradford. But when Mr. Bradford, 19, was arrested the next day as a suspect in a robbery at the Farragut Houses in Brooklyn, where he lives, the words took on greater importance. They became his alibi.

One minute after his status update, someone in Brooklyn was mugged. The article isn’t exactly clear on how Bradford was named as a suspect in the mugging, but he was arrested for the crime, even though his father and step-mother both said he was with them in Harlem (and Harlem != Brooklyn, if you’re not familiar with NYC).

When Bradford’s lawyer told the Brooklyn DA about the status update, the DA’s office subpoenaed Facebook’s records to verify that he wasn’t at the scene of the crime. The IP address resolved to Bradford’s father’s home—and the charges against Bradford were dropped.

The ADA realizes that anyone with his username and password could have posted the status update, but, as Bradford’s lawyer says, “This implies a level of criminal genius that you would not expect from a young boy like this; he is not Dr. Evil.”

So it just goes to show: maybe all those pointless status updates aren’t so pointless after all.

What do you think? Can status updates (with IP records) be taken as legal alibis?

On Leaving Forrester and Becoming A Change Agent

2009-11-12T20:54:00Z

My decision to leave Forrester Research didn’t come easy. It was actually quite excruciating because I really love my job. There are few careers where one has an opportunity to gain an insiders view on the operations, strategies, and future plans of both vendors and clients alike. Yet, having played the role of analyst for nearly a decade, I decided that it’s time to take a risk and embark on a new and exciting professional endeavor. While I cannot reveal where I’m going just yet, I’ve committed to transitioning my responsibilities and completing writing and client work at Forrester over the next two weeks.

In the meantime, I’d like to reflect back on a few of my experiences at Forrester. Working at Forrester has been one of the most rewarding and intellectually stimulating challenges in my career. I feel fortunate to have been a part of helping to build out the Customer Intelligence team and have confidence that my former teammates: Suresh Vittal, Dave Frankland and Julie Katz will continue to provide invaluable insight for Forrester clients and the market at large. The progress this team has accomplished in raising awareness for Customer Intelligence is invaluable. From Dave’s research that predicts the next CMO will come from Customer Intelligence to Suresh’s mission critical analysis of understanding the confluence of business intelligence, predictive analytics, online analytics and marketing analytics. This is groundbreaking research that is shaping the marketing and strategy of enterprises across the globe.

Yet, more importantly working at Forrester was a genuine privilege. I’ve not been a part of another organization where creative, bright and extremely motivated people collaborate and share ideas in such a productive way. The caliber of employees at Forrester is top notch and I’m glad that I was able to contribute to the collective mindshare. The good news is that Forrester is looking to fill my position with one talented analyst who shares my passion for all things analytics and optimization. Here’s a link to the job requisition and let me know if I can put in a good word for you.

For me, it's off to new challenges in the awesome field of Analytics and Optimization. My goal is to become a change agent for Web analytics and I plan to take an even more active role in Web analytics thought leadership, advocacy and evangelism. Jim Sterne said to me recently that becoming a change agent requires risk. Risks so big that you’re willing to lose your job over. I took his sage wisdom to heart and decided to break out and try my hand at truly creating change within the Web analytics and optimization industry. So stay tuned for how I plan to execute on that front and check back on this blog for BIG news to follow....

For now and while I finish out my time here at Forrester, I will carry with me valuable experiences that only a world class research organization like Forrester could provide. Thanks to Forrester all my talented colleagues for a truly remarkable experience.

Cheers,
 John Lovett

Smartphones: Taking Over the World in 2011

2009-11-12T21:46:36Z

We talk and think a lot about mobile marketing. But frankly, only a small proportion of cell phone users have devices that are equipped for any substantial web interfacing. But that may soon change—Nielsen predicts that smartphones will make up the majority of the cell phone market in two years.

MediaPost reports that by mid-2011, half of cell phone subscribers, about 150M people, will be using smart devices. Smartphones are already showing a marked increase—Nielsen predicts that Q4 of this year will show that 40% of new phones sold are smart devices (as opposed to the Q309, slowest quarter in recent memory with smart devices accounting for only 25% of new phones).

I think that smartphone adoption will be crucial to mobile marketing finally taking off in the US. The fact that most phones today are still incapable of real web browsing has contributed to the slow start to mobile marketing. I’ve been saying for years that a better web browsing experience, like that of a smartphone, is crucial to the success of mobile marketing. And Nielsen agrees:

Nielsen also anticipates more users paying for video and premium content on their phones.

What do you think? Will smartphones reach this much of the market in another 18 months? Will 2011 be the year of the mobile?

The difference between Accuracy and Precision

2009-11-12T19:40:00Z

I did a Google search earlier on mentions on my blog of the word accuracy and the precision. Neither appear at all. That was a little depressing, because I'm sure I've written about this before. But there you go. Anyway, I've been thinking of writing a post about statistical analysis for a while. I'm also wary that I am grossly underqualified to write a post on statistical analysis, which I why I've put it off for so long. Feel free to post up in the comments exactly where I've gone about this in the wrong fashion. Lets start with some Web Analytics basics.

Data out of Web Analytics systems is not accurate. They are set up, however to be precise. These are two completely different things that everyone should know about. I would suggest that you read the wikipedia article about it, but then you'd probably get side tracked and never come back to my blog.

Courtesy of wikipedia

To sum up in a short space - accuracy means you are closer to the true value, whereas precision means that your data points are not widely spread.

Why is this important? Web analytics is all about trending over time. You can find out how something it doing at the moment and you can get some insight into that - where people are coming from, where they are going to, etc. But really what you want to do is try changing something and seeing the impact that it has one your data.

So our nice little chart up there describing the difference between accuracy and precision, or indeed all the target views that you can get of the same data if you do a Google Image search, don't really paint the full picture. What you need to think about is how this affects your graphs over time. You need to take that graph up there and turn that into a three dimensional time graph.

So I've done it with the visits to my blog. I'm going to assume that I have a precision of +/- 20% each way. That's a lot, but I've done it to illustrate a point that you'll see in a minute.

If you look at the upper and lower limits of what the real figure could be, you suddenly get a much better picture of what is going on. That period in between May 2009 and September 2009 represents a fairly flat time for the blog. Visits not going up or down a lot. Or where they? They could have been going up or down wildly. According to Google Analytics, in two consecutive weeks I had 50 and 51 visits. However with my 20% range on that, it could have swung anywhere from 40 to 60 in a week (or vice versa). That would represent an increase in visits, week on week of 50%, just from a small 20% error rate.

However if I'd had a precision of 5% over that time, the most it could have swung from would be 47 to 53, which represents a much smaller change. This is where precision comes in very useful. Knowing that if you completed the same experiment 50 different times and were only out by 5%, rather than 20% means you can forecast how your tool is doing.

Accuracy however is a completely different matter. Did I get 51 visits in that month or 23? How far out is that number? The answer to this question is that it doesn't really matter how far out I am, as long as every time I measure it I get a precise result. Why? Because when I change something (as I did the next week by writing a new post) I can then measure how different this is to the previous one with confidence. Hey - you'd probably like it to be in the ball park, but as Johnny Longden said in that post I linked to up there: Cookies, javascript, people, etc all mean that you're unlikely to have a very accurate picture.

This is all well and good assuming that your data has a normal distribution. That would mean that your figures were just as likely to be out by being up as they are being down. Normal distributions occur on things like height, length of foot, that sort of thing - where everything is kind of quite high in the first place.

Do web analytics data fall under a normal distribution model?

I some how doubt that they do. There is a law in economics called the law of diminishing returns (excuse all the wikipedia links). The law states that the more you have of something, the less likely you are to make additional unit profits out of it because of a degree of corruption that you end up with. I think this rule probably holds true with analytics systems as well, but possibly with different consequences.

Normal distributions can't hold because of the lower limit ie you can't go below zero (and yes I know you can't go below zero for your height either, but that is different because the median is high for the height and the precision means that zero height is highly unusual - that's not the case for web analytics systems that frequently report zero visits)
Poisson distributions of the data may be a good approximation and we know the larger the number the more likely it is to follow a normal distribution. The graph below shows a couple of poisson distributions for increasing Lambda (ie the number you were expecting).

That would mean that for low figures you are expecting small differences, but they will be significant in terms of percentages, but for larger figures there is more likely to be a larger error margin and hence the figures may not be so precise. This is certainly true for any analytics tool that uses sampling to increase its efficiency (as Google Analytics does) or indeed any tool that limits its table lengths (as HBX does - or did). However other tools that don't do this can frequently end up with data processing issues that may or may not cause a lag because of the large quantities being produced.

So how do we work this out then? Is there a hard and fast rule? Well for one I won't be worrying about the accuracy of my figures. Do I have 50 or do I have 32? It doesn't matter. When I go from 50 to 51 though, I want to know that this is one additional visit, or whatever in that time period. Do I know that? I wonder whether any analytics tool would ever like to say how precise they think their tool is. I wonder if they know or could know. Bar asking 100 random people to view a page on a daily basis for a couple of months. And then they'd have to retry it with 10 people and 1,000 people as well just to make sure that their accuracy doesn't change with larger samples.

This is probably the perfect project for a student to do as a thesis, actually. Any takers?

Adobe’s acquisition of Omniture

2009-11-12T18:15:13Z

Still not sure what I am doing with having 2 blogs, but I just posted my thoughts on the Adobe acquisition of Omniture on the Capstrat blog. Timely I know, as it happened like 2 months ago but better late than never. Actually just working thru my queue of topics that I hadn’t completed based on my transition and writer’s block/laziness.

I think I have 2 more posts lined up for next week, and hopefully get into a cadence of every 4 or 5 days. So all 5 of you keep on reading!

New Ecommerce Podcast: eCom Experts

2009-11-12T19:48:56Z

I’m excited to hear that WebmasterRadio.fm has added a new show to its lineup, eCom Experts. Yours truly will be a guest on Monday, November 16 at 3pm PST/6pm EST.

So far there have been 3 episodes, SEO for ecommerce, Improving Shopping Experience & Increasing Sales and Increasing Conversion for the Holidays. On Monday I’ll be talking about the holiday shopping season. Please save the date!

Can’t make it? Subscribe to eCom Experts and catch it on-demand.

Google Analytics Training, Washington DC: Dec. 8 & 9

2009-11-12T17:26:23Z

We’re doing some experiementing with our Google Analytics training (coming up in Washington DC on Dec 8 & 9th, 2009). The biggest problem attendees face, and we face as instructors, is getting the level right. Not too easy, not too hard. But those things are different for everyone.

That’s why we decided to do Basic GA Analysis the morning of Dec 8, more advanced analysis that afternoon, and techie implementation all day on the 9th. You can pay for just half a day on the 8th ($199) and there are discounts to come to the full day (and yet more discounts to come to both days.)

Here is the link for the event, where you can see the schedule, and here is the registration page.

Robbin

Google Analytics Training, Washington DC: Dec. 8 & 9 is a post from: Increasing Your Website's Conversion Rate

Persuasive Web Design, Part 8: High Price Equals Good

2009-11-12T16:30:00Z

A friend of mine, Mike, is an antique dealer (or a junk dealer, depending on whom you ask). Every time I visit Mike, he amuses me with stories about the weird things customers do and say. Most of these stories deal with pricing issues. For example:

He once had a gorgeous antique wood stove. Since it took up a lot of room in his shop, he priced it below market value "so it would move faster". Though many customers admired it, nobody bought it. After a few weeks, acting on a hunch, Mike doubled the price. It sold the next day.
On several occasions, he's essentially been asked, "Don't you have anything more expensive?" In one case, a woman was looking for an antique Tiffany-style lamp. Mike showed her some lamps; one was exactly what she was looking for. She absolutely swooned over it, until she saw the price of $300. Obviously disappointed, she turned to Mike and said, "Oh, I was really looking for something in the $500 range..."

It's easy to laugh at the people in these stories, but you know what? We all do it. We assume that if something is cheap, it can't be any good. And of course, if something is super expensive, it must be wonderful. Why??

It's an adaptive shortcut. Not being willing or able to do a real evaluation, we simply look at the relative prices and assume the more expensive one is better. Of course, it's not always true. But it's generally true, and it's easier than doing a real evaluation.

Even more interesting, is that after making our purchase, we tend to convince ourselves that more expensive items are worth it. Take for example the experiment reported by Dan Ariely*, in which all subjects were given the same prescription pain reliever:

Of patients told the drug cost 10 cents per pill, 50% reported that it worked
Of patients told the drug cost $1.50 per pill, 100% reported that it worked

In addition to "High Price Equals Good", there are a number of factors at play in these cases. In future posts, I'll get into more details on things like:

How Expectations Influence Opinions
The Placebo Effect
Cognitive Dissonance

In the meantime, however, bear in mind how pricing can affect your customers' perceptions of the quality of your products. Don't assume that offering a lower price will increase your sales. The decision-making shortcut of "High Price Equals Good" often makes higher priced products more attractive.

*Ariely, Dan (2008). Predictably Irrational: The Hidden Forces That Shape our Decisions. Harper Collins, ISBN-10: 006135323X.

Linking domains

2009-11-12T17:16:00Z

I am looking for some feedback/ help on linking domains & subdomain. Since the time we've linked the main domain with the domain, all my search data ( vistors

[JOB] Web Analyst

2009-11-12T17:15:58Z

Currently recruiting for Web Analyst for leading Retail Bank - London - £40-45,000 + 10-15% Bonus Looking for candidate with real passion for web analytics

Basket analysis

2009-11-12T17:15:28Z

Hi All, I was doing an analysis for a basket funnel & would like to know some experts suggestion like. what all things we should keep in mind while doing the

Coremetrics and Asterdata

2009-11-12T15:43:31Z

It’s old news to some, but new to others. Coremetrics licensed Asterdata’s high speed analytic processing database systems a few months ago, and I was lucky enough to see some coming attractions based on the tech changes.

I am not able to say details on what I saw, but I can say that having Asterdata on the back end is really starting to open up possibilities for them. Like many of these systems, you stop thinking in terms of what is possible given the constraints of the database, and instead say “what if I just open up the flexibility to the user, and assume the database can scale up to meet it?”.

Folks who come from ROLAP and MOLAP backgrounds on the big 3 (Oracle, MS’s SQL Server, IBM’s DB2) all seem stuck in a mindset of “what queries can we handle given that we need tons of indexes, temp space, and denormalized fact tables?”. Asterdata, Greenplum, Netezza, etc. all change this mindset into “just write the SQL and we’ll make the query work”. (Yes, it’s not your eyes, all 3 of these sites look almost identical). The rise of parallelization and columnar data stores, and the recent addition of map/reduce frameworks and cloud capability into these systems, can provide massive speedups for ongoing flexible reporting, but more importantly, provides the the ability to drive a wide variety of ad-hoc analytic queries at speed.

What was Coremetrics using before? Well, I can point you to this Coremetrics press release from 2000 where they licensed EMC, Oracle and Sun Microsystems and one could assume that some of that tech has stayed around all these years, upgraded faithfully over time, just like every other enterprise.

If you are interested in keeping up with this new world of analytically enhanced databases, the Monash Research DBMS2 site is, without question, the best source for information about these companies. Every post is full of interesting database goodies, technical enough to go below the marketing, but business savvy enough to understand what market needs each company is meeting and missing. Highly recommended.

As Coremetrics allows me to speak publicly about what I am seeing, I’ll point out some of what I like and some of what is still missing. My hope for them is that they manage to embrace the flexibility this new platform offers instead of staying constrained to point fixes on current capability. What I’ve seen so far is very promising… but only when it’s in our hands will we know if it truly opens new doors for us.

Web Analytics Consultant

2009-11-11T04:00:00Z

Title: Web Analytics Consultant Description: Panalysis is a specialist web analytics consulting and marketing company located in Lane Cove, Sydney Australia servicing a large number of government and corporate clients. Panalysis also provides search engine marketing and optimisation services. We are seeking to employ a suitably qualified person to provide consulting services as well as pre and post sales support to our customer base across a broad range of web analytics applications. Ideally you will be a seasoned professional with substantial experience in Google Analytics, Omniture, WebTrends or similar products. We will also consider offering a substantially similar role as a trainee to the right applicant. If you are looking to expand your current skills in web analytics across a broad client base we would like to hear from you. Panalysis is one of Australia’s leading web analytics and marketing optimisation consulting companies. Panalysis was Australia’s first Authorised...

What’s More Important to You: Bandwidth or TV?

2009-11-12T05:00:46Z

So what’s going on in my house this month that’s forced this Bandwidth vs. TV question? One word: Boxee. I could write a whole post on Boxee (maybe next time) – the short story is that thanks to Boxee, I now have the ability to easily watch videos (Netflix, Hulu, CNN, BBC) through my living room television except my Internet connection can’t handle it. As Captain Kirk would say, “We need more power, Scotty!” So, I’ve placed the order with a new Internet service provider for 4x more speed than I am currently receiving. As a result, I’ll become even less reliant on a television schedule and will bring the instantaneous downloads of Netflix not just to my computer, but to my living room, on the TV, where it belongs.

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