I’ve been entrenched in web analytics for the past few months, and I’ll tell you, a lot is going on. A few months ago, Google rolled out an updated to Google Analytics which uses an updated code base for performance improvements. Unfortunately it looks like they didn’t put it through the wringer before launch because a ton of people are having problems. The problems specifically target e-commerce tracking, and you can read more here: Action Needed: ga.js is broken!
Meanwhile, Microsoft is about to launch it’s own analytics product. Code-named Gatineau, the real name was revealed yesterday: Microsoft Adcenter Analytics. I know…doesn’t that just get your blood pumping. Ian Thomas revealed more of the details at his blog this week. It looks like MSAA will have some interesting features, as well as an automatic code installer, which I’m skeptical about at this point. Will MSAA have enough distinct features to pry marketshare away from Google Analytics. Frankly, I doubt it, but the competition is always good for the consumer.
Anyways, I could go on and on about this…the bottom line is, there are adequate tools available for no charge that allow businesses to know exactly what how their website and online marketing is performing. Use them to your advantage!
Mar
4
posted in
Analytics
Justin from EpikOne wrote a great piece earlier this week explaining how to extract source, medium and campaign information from Google Analytics to insert in contact or lead forms. Essentially, it takes the data already stored about the visitor, and adds those values to hidden fields in the form. This means when your form submission comes through, it will contain valuable info about the visitor. Wouldn’t it be cool to get a lead email that looks like this:
Name: Joe Smith
Phone: 555-555-5555
email: joe@email.com
Notes: I’m interested in your product or service, please call me ASAP.
Visitor Source: Google search for ‘dallas widget maker’
Sure, you can always tell from the Google Analytics reports the conversion rate of each medium and source, but this allows to you tie each individual lead or contact form to a source. Why is this better? Well, all leads are not equal in value. If you do high volume on the Internet, you should probably know that 30% of your PPC leads turn into customers, but only 15% of your email leads do. Attaching this kind of tracking will enable you to make this next step calculation that would have otherwise been impossible.
So again, great job Justin! We went back and forth a few times in the comments about some ideas for improving the code (incidently, I had written the exact same program for my employer last week, but hadn’t published it). I definitely suggest implementing this on your lead forms if you use Google Analytics.
Oct
31
posted in
Analytics,
Business,
Google,
Online Marketing
I’ve used many website analytics tools in the past 5 years, but lately I’ve been doing a lot with Google Analytics. It’s free, and typically provides 90% of everything you could every want. One compalint I have, though, is that because there is a 6-12 hour delay in the reporting, configuring complex applications is difficult. Instead of tinkering, waiting a day, tinkering some more, wait another day, etc., I’ve learned to read server header requests to confirm that GA is working as expected.
If you use the Firefox browser, this is fairly easy to do. Download a simple plugin called LiveHTTPHeaders, and install it in the browser. Now you can view the header information in the browser’s sidebar by choosing View -> Sidebar -> LiveHTTPHeaders (or press ALT + L). Load a URL and you’ll likely see many fast requests go through the list, including images, CSS, javascript, etc.
To verify that a Google Analytics tag has executed properly, look for a like that starts like this:
http://www.google-analytics.com/__utm.gif…
This image request passes all of the necessary information on to Google’s servers, indicating that there was a page processed. There’s a ton of information on this line that you can decode if you so wish, including page URL, referrer, account ID, etc. If you scroll through the entire window and there is no mention of __utm.gif, guess what? The code didn’t exucute. That’s not good, but hey, at least you didn’t have to wait for 8 hours to find out, right?
Oct
1
posted in
Analytics
For those of you who run PPC campaigns, Google and Yahoo have both recently launched click-quality microsites with information about PPC click fraud and what each is doing to combat it. I often get asked about click fraud, and whether someone should avoid PPC because of click fraud. What I believe, based on discussions with people “in the know”, is that click fraud exists but is much smaller a problem than the media would have you believe. Google and Yahoo both understand the gravity of the click fraud, and its in their best interest to make their PPC clicks as innocent as possible.
In the end, even if click fraud subtracts 5% of your total clicks, the overall ROI of your program should be relatively high. While it’s always hard to swallow a loss, the net gain of PPC advertising should more than make up for it.
Aug
17
posted in
Analytics,
PPC
Avinash Kaushik wrote a great piece today about the usefulness of the bounce rate metric. As someone who analyzes web traffic for hours each day, I can honestly say that bounce rate is probably my favorite metric, and has been for some time. I’ve often been curious why more marketers and analysts didn’t utilize it, as I find it to be a great indiciation of the quality of traffic a website is receiving. So I’m encouraged that bounce rate is getting more positive press now!
One question I always get when training people with Web Analytics is “What is a good bounce rate?”. That’s kinda like asking “What is a good IQ score?”. Higher, obviously! Well, in the case of a bounce rate, the lower the better (you know, like golf). And while a 0-5% bounce rate is almost impossible, it’s not uncommon for well marketed sites to have bounce rates below 25%.
When evaluating bounce rate, it’s important to evaluate each segment of traffic differently. For instance, you want your bounce rate from PPC traffic to be lower than SEO, because you are paying for every PPC visitor. While a 45% bounce rate from organic traffic might be acceptable, the same percentage from PPC traffic could indicate a need for some negative keywords or ad refinement.
Finally, bounce rate can be used to discover e-commerce roadblocks. For instance, if you find that your bounce rate is very low, but your conversion rate is still poor, that might be an indication of price shopping. Consider lowering your prices, or hooking visitors in with a free shipping coupon or discount.
Bounce rate is a great metric that can be used to easily evaluate visitor quality. Almost every respectable analytics software has bounce rate metrics, including the free Google Analytics package. I would recommend you add it to your analytics dashboards and see how it can help improve your online business.
Aug
6
posted in
Analytics,
PPC,
SEO
I use Google Analytics often – multiple hours, each day and every day. I often complained that with all the resources and money that Google has, it has not spent much time upgrading Google Analytics since its purchase of Urchin in March of 2005. Since we know that Microsoft is planning their own competing product (code named Gatineau), it has been my opinion that Google has version 2 of their product packaged up and just sitting on a shelf, waiting to steal the thunder from Microsoft upon announcement of Gatineau launch. Well, hopefull I am wrong, and I sure got excited when I saw the following message at the top of my Google Analytics interface this afternoon: Read the rest of this entry »
May
4
posted in
Analytics