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: 91°)
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.
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. 🙂
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. 🙂
All in a day’s work. 🙂
So you’re getting a lot of traffic to your website. That’s great! A good amount of your website’s traffic is converting. Awesome! You’re even getting some returning visitors to your site, and they are buying things, too! What could be better than this? (Of course, you could say “Winning the Lottery!”, but that’s not realistic).
The first question that comes to mind about your website’s traffic is usually “Where is the traffic coming from?”, or some variation of that. This is something that we all want to know, whether to satisfy our own curiosity or to properly optimize your cost-per-click campaigns. Using Google Analytics, let me show you a few different places where you can go to find out the origins of your traffic.
1. The “All Traffic Sources” Report
This is normally where most everyone goes to know where people are coming from. It’s found underneath the “Traffic Sources” section (obviously). Now, you need to understand that, by default, Google Analytics groups all traffic in four separate categories, or, “mediums””:
Direct – Usually represented by (direct)(none), this is all of the traffic that either types in the URL of your website by hand, or accesses your website via a bookmark. Copying / Pasting your website’s URL and clicking on “Go” or hitting the Enter key also counts as direct traffic.
Referral – A referral is any visit from any website that links to yours. Usually appears with the name of the website or IP address (Example: myspace.com / referral)
Organic – Any traffic originating from an organic search engine listing. As of this post, Google Analytics automatically recognizes 39 different websites as search engines, but this number is always changing. (Example: google / organic)
CPC – Traffic that originates from a pay-per-click marketing program, such as Google AdWords. You’ll see it listed as “google / cpc”. Note: you will need to have your URLs coded with Google Analytics URL Tracking on all of your non-Google AdWords Paid Search campaigns in order to see them listed as “cpc”. Otherwise, they will be lumped in with the “organic” listings. Visit the Google Analytics URL Tool Builder Page to learn how it’s done.
2. The “Referring Sites” Report
This report is one of my personal favorites. I really like to look at this report, so I can see who is either linking to me or referencing me in a blog or message board. This report is also found in the “Traffic Sources” section, and it will list any website which you have received at least one visit from. The best part about this is that if you click on any website listing, you can see the exact page where your link is found, and you can also click on the small “double-window” icon next to the full page path to go to that page, to see your link on their site.
3. The “Search Engines” Report
Finally, you can use the Search Engines report to view your total amount of search engine traffic. You can also click on the “paid” link next to the segmenting tool to view all paid Search Engine traffic, or you can click on the “non-paid” link to view all organic / non-paid Search Engine traffic. Clicking on the name of the search engine that’s listed there will allow you to segment that search engine by keyword, so that you can see which search terms are responsible for bringing you traffic.
These three reports are a great start for you to start to see where all of your traffic is originating from.