dannytalk ™ A Danny Ng Blog

Thought I’d share a post on how to use advanced filters in Google Analytics and what are some scenarios where they can come in handy.

Advanced filters are very useful for extracting information from available fields (i.e. campaign source, campaign term) using regular expressions and then using the extracted information to manipulate other fields in Google Analytics so that you can customise how data is recorded in your reports.

First of all, before you use advanced filters, it is important that you have some kind of basic knowledge on regular expressions. If you don’t, then perhaps it’s a good idea to read up on what those cryptic symbols mean and how they’re very useful in pattern matching.

Read the rest of this entry »

Bookmark This!

If you’ve read my previous post about the GAIQ exam tips, you’ll notice in the section called Adwords Information, I talked about how the initial update by Google on how their cost data import update affected traffic reports in Google Analytics and how we’ve been debating in the GAAC forums about accounts that don’t have cost data import enabled treat Adwords traffic as direct instead of cpc. This will affect the traffic reports by over inflating direct traffic and slowly diminishes cpc traffic.

This really isn’t good as it doesn’t give you an accurate representation on how your online marketing activities are performing. With high direct traffic, you’d probably think, “Holy cow! My website brand really rocks and I don’t have to spend much money on online advertising anymore. Thus, you decide to cut down your Adwords spend or other forms of online advertising.”

One way to overcome that was to manually utm tag your destination URLs which would’ve been a big pain in the butt if you’ve got a large Adwords account with many campaigns and adgroups.

So finally Google made a post about a week ago about another update to the adwords cost data reporting that reverts back to how Google Analytics originally reported traffic from Adwords.

Now if you’ve got your Google Analytics account linked to Adwords, have auto tagging enabled but don’t have Adwords cost data applied, your Adwords traffic will now show as google/cpc, as it was originally.

What you should expect is a drop in direct traffic and a gradual increase in cpc traffic in your traffic reports.

Bookmark This!

Working in a Google Analytics Authorised Consultants (GAAC) accredited company and also having a Google Analytics Individual Qualification (GAIQ), it is essential that I master the art of setting up goals and funnels in Google Analytics for our clients.

A goal can be a very important metric for a client to track such as sales, newsletter sign-ups, and registrations. Of course goals are not just limited to those but can be extended to whatever you would define as an important action on the website to track. Not only is tracking important, but it is also vital that you gain insight into what’s going on in the goal process from funnels.

A funnel is a visual representation of what’s happening during each step of your goal. It gives you great insights into the drop off rates of each step so that you can make informed decisions on improving your goal process and landing pages to increase conversion rates. You can accurately pinpoint which step of the goal process are you getting high drop off rates.

This can help you identify problems such as the checkout button not working, too many call to actions that lead to other goals, not best practice usability and so on.
Read the rest of this entry »

Bookmark This!

First of all, let me explain why in Google Analytics you need to do some configurations to track sub-domains / cross-domains.

Google Analytics does not do this by default, thus whenever you’re on sub1.domain.com and you go to sub2.domain.com, Google Analytics will record this as a referral rather than maintaining the same session and the same campaign information. If you’re running e-commerce tracking and you use sub-domains during the e-commerce process, this will totally screw up your reports as it will attribute all transactions to referrals (from your own site) and you will have no idea how your other online marketing campaigns (i.e. direct, organic, cpc) are performing.

Sub-Domain Tracking

This one is fairly easy. The method you need to use is _setDomainName().

The _setDomainName() method sets the Google cookies to the domain name string parameter that it is given, otherwise it automatically resolves the domain name from the location object in the DOM if no parameter is given. This means that on sub-domains, the cookies will be set to separate sub-domains.

So to configure Google Analytics to set the cookies to the same domain name, simply use the domain name as the string parameter for the _setDomainName() method.

E.g. If I have a website called sub1.dannytalk.com and sub2.dannytalk.com, I would use _setDomainName(‘dannytalk.com’) throughout all my pages (sub-domains and main domain).

<script type="text/javascript">
var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www.");
document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E"));
</script>

<script type="text/javascript">
var pageTracker = _gat._getTracker("UA-xxxxxx-x"); // replace this with your own account number
pageTracker._setDomainName("dannytalk.com");
pageTracker._trackPageview();
</script>

The Google API officially states to use the period at the start of the domain name. I have tried with and without and it seems to work fine but I prefer without period (looks nicer).

Once you’ve done this, Google Analytics should record all visits to these sub-domains as the same visit, maintaining the same campaign information. However, in your reports,you won’t be able to tell which request URI came from which sub-domain as the domain name is stripped out from the reports.

In addition, if you have two sub-domains that have the same page name (i.e. index.html), then Google Analytics will combine these two into one which will artificially inflate your page statistics.

A simple way around this is to implement what I call a sub-domain visibility filter which will prefix your request URI’s with the domain name. This will help you differentiate the pages as well as avoid inflating the page statistics.

Read the rest of this entry »

Bookmark This!

I just passed my Google Analytics Individual Qualification (GAIQ) test today and scored 94%! Not bad eh? The passing score is 75%. So thought I’d post some tips here while the exam questions are still fresh in my mind.

You have 2 hours to complete the exam (more than enough) and there’s 70 questions that consist of multiple choice, true/false and select all that applies type questions. Basically the trickiest one I found was the select all that applies type questions.

Materials To Go Through – Conversion University

Before you start the GAIQ exam, make sure you go through the materials at Google’s conversion university – especially the ones that you don’t know much about. I didn’t go through all of them, just the ones I thought would be handy to refresh myself with.

The ones that I think will be handy are:

• Profiles in Google Analytics
• Filters in Google Analytics
• Cookies and Google Analytics
• E-Commerce Tracking
• Domains and Sub-Domains

Knowledge To Learn

In my opinion, these are some of the things you should’ve had some experience implementing before doing the test. If you haven’t, go play around with it!

• E-Commerce Tracking (addTrans, addItem methods)
• Cross Domain / Sub-Domain Tracking (link, linkByPost, setDomainName, setAllowLinker, setAllowHash methods)
• Goal Setup (note: Multiple same goal conversions within a session are unique)
• Profile Setup (note: What are the benefits of creating more than 1 profile? What can/can’t you do with profiles?)
• Filter Setup (predefined, include/exclude, search & replace and custom – advanced)
• Integration with Google Adwords (cost data import, auto-tagging)
• Google Analytics interface (reports, user/filter management)
• Regular Expression (note: You don’t have to be a pro, but it definitely helps)
• Cookies (note: Google uses first-party cookies and you cannot identify an individual through it)

Handy Links

Here are some handy links that you should have open during the test: Read the rest of this entry »

Bookmark This!