Articles in the Analytics News Category

October 9 2008

Yahoo! Web Analytics has finally arrived!

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Yahoo! Web AnalyticsThe hottest news in the world of Web Analytics this week arrived on Wednesday the 8th, when Dennis Mortensen, the director of data insights at Yahoo, officially announced the release of Yahoo Web Analytics.

The web analytics community, and myself personally, have been waiting anxiously for this day, ever since Yahoo acquired IndexTools 5 months ago. IndexTools was always considered to be a great program for the price. In fact, a common slogan used by bloggers that referred to IndexTools was “…it’s 80% of WebTrends at 20% of the price.

So what is Yahoo! Web Analytics, and what can I do with it?

Yahoo! Web Analytics is a tag-based Web Analytics platform, like Google Analytics. However, that’s about as much as they share in common, barring some of the basic reporting features found in any analytics package. Yahoo! Web Analytics has worked really hard over the last 5 months to distance itself from Google Analytics, to claim its spot in the Web Analytics industry, and so far, it has been well received by almost everyone in the analytics community.

What are some of the benefits that Yahoo! Web Analytics offers?

Here are some of the goodies that Yahoo! Web Analytics offers:

1. It’s Free – In 2009, most every customer of Yahoo will be able to have access to Yahoo! Web Analytics (YWA). These include Sponsored Search marketers, Yahoo! Store owners, Small Business customers, and anyone else that is conducting some kind of online business with Yahoo.
2. Real-Time Reporting – YWA is going to provide up to the minute updates in its reporting interface, so you won’t have to wait a few hours or even a full day to see results. This will be great for Sponsored Search marketers, as you’ll be able to refine and optimize your efforts on the fly – and make intelligent decisions along the way.
3. Executive Dashboards – Fully customizable dashboards, where you will be able to create a separate dashboard for anyone within your organization.
4. Live Cost Analysis – This allows you to view Google, Yahoo, and MSN data, integrating it with the revenue that your website collects (Ecommerce).
5. Side-by-Side Comparative Reporting – This allows you to compare two different reports, one right along side the other.
6. Advanced Path Analysis – Drill, baby, drill! This report lets you drill down all the way to individual visit levels.

There are many more features outlined in the Yahoo Web Analytics features section.

My personal thoughts:

This is the best thing that has happened for the Web Analytics community in 2008, and into 2009. Everyone knows that I love Google Analytics, and that I even sometimes wear my Google Analytics T-Shirts in public (Oops…I wasn’t supposed to say that out loud…). Competition that YWA is going to provide against GA will only make BOTH platforms better over time. Each organization will likely try to one-up the other, introduce new reports or features that the other doesn’t have, and try their best to be the #1 “Free” Web Analytics platform out there. Ultimately, the true winners are you and I, the consumers. We’re going to get awesome reporting tools from both programs, and they are both going to improve and offer even more cool stuff over the course of time.

One feature that Yahoo Web Analytics will also provide users by default is data privacy. If this part of IndexTools has lived on in YWA, users will need to upload the necessary JavaScript file on their servers, meaning the data is never sent to a Yahoo server for processing. With GA you can do this, but the default option that is used by mostly everyone is having the JavaScript file reside on a Google server, meaning your data gets sent there for processing before you see it in your reports. This should be something very attractive for customers where privacy is a big concern.

Stay tuned folks – 2009 is going to be a great year for Web Analytics!

August 15 2008

Make Your Life Easier – Segment Stuff

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It’s a bit surprising to me how many folks do not make use of their segmenting / cross-segmenting options in their Web Analytics Packages. Some folks don’t even know or aren’t even aware of what it means or what it does. So for today’s blog post, I would like to explain what it is, and how you can make use of it.

Segmenting Options

What is Segmenting?
In Analytics, segmenting is basically viewing one particular set of data by another set of data. It allows you to “drill-down” or “dig deeper” on a particular page, traffic source, or keyword.

For example, let’s say I am looking at data from my Google.com Organic Traffic. I can see how many Visits, Pageviews, and so on that came from the Google.com Organic Search Results. The next thing that I think about is to discover what keywords from the Google Organic Search Result sent me the traffic. In whatever analytics program you use, you should have a “Segment” or “Drill-Down” option that will allow you to do this, either from a drop-down menu or a series of checkboxes and submit buttons. Then, you’d be able to see the keywords that brought you traffic from Google.com on one page.

This, like the title of this blog, “makes your life easier”, because you don’t have to open multiple report windows or spend a lot of time trying to find things in your analytics package of choice.

Can you give me some more examples of things that I can do with segmenting?

Yes. Here are some of our favorites here at MoreVisibility:

  1. Segmenting any Organic Traffic Source (Google Organic) by Keyword, to see which keywords brought traffic to your site,
  2. Segmenting any Organic Traffic Source (Google Organic) by Landing Page, to see what visitors saw upon arriving at your website,
  3. Segmenting any paid (Cost-Per-Click or CPC) Traffic Source by keyword or landing page,
  4. Segmenting any page (like the homepage) by Visitor Type (New or Returning), to see how each group of individuals behaves on the pages of a website,
  5. Segmenting a Landing Page (a CPC Landing Page) by Source, to see which initiatives were responsible for bringing in the traffic, and how each performed,
  6. Segmenting a Campaign by Ad Content or Ad Group, so that you can see how each individual Ad Group performed in a cost-per-click program,
  7. Segmenting a country in your Map Overlay or Geographical Areas report by Revenue (my favorite), so that you can see which states and cities brought in the most revenue,
  8. Segmenting Browser or Operating System by Screen Resolution or Screen Colors (our graphic design team loves doing this),
  9. Segmenting a Source by Hostname, to see what domains are collecting data on my account and which domains have tracking code on them
  10. Segmenting anything by the User-Defined value in Google Analytics (which is already custom segmentation – so this is double segmentation!)

If you are someone who has never really made use of segmenting before, you need to start doing so right away. It’s a very powerful feature, and arguably the most important feature of all of web analytics, and you can really dig deep and slice & dice data in countless ways. It also saves you a bundle of time – and makes you look good, too!

As far as custom segmentation goes, this is great if your web analytics package has it. Play around with it and make use of creating custom segments to make you look even better! πŸ™‚

July 17 2008

This types of stuff happens eh-veh-ree-DAY!

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In my latest, most desperate of attempts at trying to make our loyal blog readers think I’m hip by using titles that come straight out of popular phrases in rap songs (which is in conjunction with my last attempt with a blog post entitled “Tryin’ to make a dollar outta fifteen cent!“), I’d like to give you an idea of what the typical day-to-day life is like here for me at MoreVisibility. Every time I describe what I do to friends, colleagues, co-workers and even some clients, I talk about how being in Web Analytics is like being a private investigator or a federal agent of the internet. You gather data, compile statistics, find clues, compile some more data, interview a couple of people, and solve the mystery! Then you typically have to present your findings to your boss(es) and your clients, and then talk about where to go from there.

Here’s an outline of a typical day for me (which is sort-of a false statement, because no two days are the same, so there really is no such thing as a “typical” day…but you get the idea).

Date: Wednesday, July 9, 2008, Boca Raton, FL, USA (Temp: 91Β°)

7:04 AM – I have just woken up, and I’m already thinking about what I’m going to be doing for that day. Do I have an Analytics presentation to give? Do I need to check the coding on a site before it launches? What accounts will I be doing some investigating on? Do I have enough laundry to last until the weekend?

7:57 AM – I arrive at my office, turn on my computer, and see a yellow sticky note on my monitor that reads “Joe – Please see me about [Client]’s Top Landing Pages.”

8:01 AM – While my computer is loading and my email is downloading, I catch my co-worker who explains that our client is concerned that the exits from their homepage is too high. I suggest evaluating the page’s Bounce Rate and maybe a quick Navigation Summary to get a better idea of what is really going on with their homepage. I also mention something about A/B testing with Google Website Optimizer.

8:02 AM – I log-in to my Google Reader account and catch-up with the 60+ Web Analytics and Search Marketing blogs that I subscribe to, while simultaneously responding to emails with questions and discussions from co-workers.

8:41 AM – I am finalizing my speech for an in-person Analytics Presentation to one of our clients, when Amber (Client Strategist) buzzes me and tells me her client added an email address to their Google Analytics account, but they cannot log-in. She tells me she knows what the reason is: “The Email address is not a Google Account yet! It needs to be a Google Account in order to log-in with that Email address into their GA Account.” I start smiling, because that’s exactly right.

9:15 AM – I meet with Shawn, our newest co-worker, and begin to review all of the great things that is Web Analytics. Of course, I have to throw in my private investigator / federal agent simile. I also explain that Javascript-based programs like Google Analytics are only able to collect data from users who have both Javascript and Cookies enabled on their browser of choice. If they don’t, Google Analytics simply cannot track those individuals.

10:30 AM – I am out of water, and I’m starting to get hungry. I think about all of the different possible ordering options, and think how cool it would be if some of our favorite local take-outs would have an online ordering option, and imagine what I would give for a large turkey & swiss right now.

10:35 AM – I start to open up a brand new Google Analytics account for a new client. I provide our client with the necessary tracking code to be placed on every single page of the website. I also explain the many different options available, such as SiteSearch, Ecommerce, Benchmarking, and Filters that can be utilized.

10:59 AM – I receive a phone call from another client who asks me to explain the difference between A/B Testing and MVT (Multivariate Testing). We throw around some ideas of what to test and experiment back and forth, and we agree to launch an experiment using Google Website Optimizer for their AdWords Campaign’s landing page.

11:33 AM – Okay I am REALLY hungry right now and I can’t imagine being able to last another 27 minutes without eating something!

11:34 AM – Marni (another Client Strategist) sends me an IM that reads “It’s working!!!” She is referring to the neat advanced filter that we wrote which added the name of the source and the visitor type in front of the transaction ID in this particular client’s Ecommerce Report section. This is great news, as I’m sure the client will be very happy to hear about this.

12:00 PM – I’m about to grab my sunglasses and walk across the street when I see an Email come in that reads “GA Tracking Issue – Please Help!”, flagged as High Importance. Guess lunch is going to have to wait a while…

12:19 PM – Problem solved! Turns out there were two sets of Google Analytics tracking code on the same page, one urchin.js version and one ga.js version, which is bad news. I then proceed to solve another problem – my hunger.

1:10 PM – I return and find some great discussions starting up on the Yahoo! Web Analytics Forum. It’s really a great forum to check out whenever you can.

1:15 PM – My in person analytics presentation is in 45 minutes. I am very obsessive when it comes to presentations, as I like everything to be perfect, neat, and organized, so I visit our client’s website one more time, and find that they have repaired a bug in their shopping cart that was the focus of one of my main points in the presentation!! I think of a good way to still use this slide in the presentation.

1:38 PM – One of Khrysti’s (Director of Optimized Services) clients is in a bind. They cannot figure out why they are not seeing “yahoo / cpc” or “msn / cpc” in their Google Analytics profile, like they can for “google / cpc”. I reference my latest blog post about Google Analytics URL Coding, and I strut away confidently as I’ve capitalized on another opportunity to tell someone about my Analytics Blog. πŸ™‚

2:00 PM – It’s showtime! Our clients have arrived, and I hand out my business cards and begin with introductions. It’s always great to be able to meet people in person and talk analytics, Site Search, and Shopping Carts to them. This particular client is using both Google Analytics and WebTrends, and they were really concerned about the differences in data between the two, even though they swear that they have everything installed properly. I explained that different analytics packages will always report different values for the same metric, no matter how perfect your installation and coding is.

3:32 PM – I come back and check my own Google Analytics profile for this blog, and I’m surprised to find so much referring traffic from European blogs! I love that someone in Austria and someone in the Netherlands is reading a blog written by someone half-way around the world. I know this because I frequently check my referring traffic reports, to see who is bringing me additional traffic.

4:00 PM – Another one of Khrysti’s clients cannot for the life of them understand why people type in such simple, generic words such as “shoes”, “belts”, and “hats” into their website’s search feature on their online clothing store. They believe something is wrong, broken, or not working correctly. I am pretty sure that their search function is working properly, but I go to their site and double-check with some test searches anyways. After I verify that it is working properly, I pick up the phone and begin to explain to the client that people have much different behavior (and level of tolerance!) when they perform keyword searches on Google or Yahoo vs. performing keyword searches on someone’s website. Again, I direct their attention to my blog by referencing my post about a website’s internal search function.

4:45 PM – My day is starting to come to a close. I like to take a few minutes each day and “spot check” different analytics accounts, just to ensure that everything is still running smoothly and data is being collected and displayed properly. I’m glad I did this, because an important Goal in one of April’s (Director of Strategic Accounts) clients’ accounts has stopped collecting data. After a test on the client’s website, it turns out that the Goal URL has been changed from “thankyou.html” to “thanks.html”. Websites are updated all the time, which is a good reason to routinely double-check your Goals to make sure they are working properly.

5:03 PM – I’m just about wrapping it up here and saying good night to everyone in the office. Out of nowhere, Danielle (my boss) catches me right before I walk out the door. She explains that a new client needs to speak with someone urgently (first-thing tomorrow morning) about what analytics platform they should choose between Omniture SiteCatalyst Hitbox (HBX) or ClickTracks. They also need help in defining new Key Performance Indicators for their executive team, and possibly setting up some custom reporting. I love to think about things like this, especially on off-hours, so I’m glad I have this opportunity.

7:00 PM – Analytics is going to have to wait a while – an episode of Law and Order is on right now that I’ve never seen before. πŸ™‚

All in a day’s work. πŸ™‚

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