I am Google Analytics Individual Qualification (GAIQ) Certified: Is that really Needed?

July 29th, 2009 5 Comments »

GAIQ: A Good Way to authenticate your knowledge on Google Analytics

Its one pending task which I wanted to do since many days, and this weekend was the best suited for me and made up my mind to take it, GAIQ Test.

Well, I asked myself why should I have taken this test spending $50 just for an online certificate.

when I was thinking and mentioned about taking GAIQ test, Many people commented like its an open book test, you can easily pass if we 2 or more people sit together who have knowledge in GA , I would totally agree them, However I still wanted to take this test…WHY?

Not because it’s a certification by Google or cos I will get one certificate that adds to my resume or it adds honour to my skills, its cos

  • it’s a Sense of satisfaction to clear and get authenticated your knowledge on Google Analytics
  • Its a benchmark to say I am sound in Google Analytics.
  • That’s when you feel you have reached a goal (Goal setting you see..:) )

Google describe The Google Analytics Individual Qualification (or Google Analytics IQ) as “a proof of proficiency in Google Analytics that is available to any individual who has passed the Google Analytics IQ test”.

I totally agree with it.

This Saturday is a personal working day for me cos whole day I spent time in going through all the slides and @ 6 I thought of taking the test, as always I am super lucky!!! Power Cut :) (For one hour)

@7 I started test at last, and passed in flying 99%

Google Analytics Individual Qualification - Pradeep SV

After going through all the training material, GAIQ was not that difficult, but definitely there are few tricky questions.

Course Material was very comprehensive and would sure would not be able to make it in test without going through all the slides.

Though I am kind of happy to see 99% scored, I am still unhappy for not having a badge or a kind of logo to say I am a qualified professional (just like Omniture have)

Google Analytics Individual Qualification - Pradeep SV

About Google Analytics Individual Qualification (GAIQ):

Google Analytics Launches Individual Qualification Program” we heard this on March 3, 2009. This was mainly created program to display proficiency in Google Analytics.

Number/Trend Metrics Vs Action Driven Metrics

October 4th, 2008 1 Comment »

I had actually promised writing about Implementation on Mobile Analytics using Omniture SiteCatalyst as a Web analytics solutions, But due to time constraints I couldn’t managed to write on it, But I will definitely will write about it actually its on queue : )

Well without disappointing this time something on Web Analytic Metrics, We normally get the request from our partners to enable MUVs ( Monthly unique visitors)  to some of the specific reports however most of the time we push them to use DUVs (Daily Unique visitors) instead of MUVs, specially if its support sites.

There is couple of reason for this,

  • For me DUVs and MUVs are just numbers to watch the trend month over month for particular section of the website (you know even Avinash is also not too fond of Daily Unique Visitors : ) )
  • It drives cost to the company in enabling this additional metrics to any reports.

For this reason we normally ask what is the business value that’s going to drive using MUVs in particular report, believe me 99% of them didn’t had any reason other then just watching the trend of the unique visitors.

If you ask me, Visits, Unique Visitors (Daily or monthly) are just number to watch the trend and the number of people visiting the website, that is they are not an Action Driving metric (A perfect example for Action driven metrics is Bounce Rate - A sexist web metric - Avinash Says : ) )

Due to frequent request, for MUVs (Monthly unique visitors) we have decided to enable DUVs (Daily unique visitors) for whom it requests and educate them to “Estimate” Monthly unique visitors, its little tricky here, it’s just an estimated number of Monthly unique visitors but might not be accurate.

Let’s see how in simple calculation we can calculate Monthly unique visitors using Daily unique visitors.

Assume you need MUVs in most popular site section report, however it has only DUVs enabled, here are the simple steps to add calculated metric MUVs

  1. Pull Daily Unique Visitors for one month (site level)
  2. Pull Monthly Unique Visitors for one month (site level)
  3. Calculate the ratio of between them.
  4. Pull the report where you need to MUVs from DUVs 
  5. Calculate Estimated MUVs metric by Multiplying DUVs by Average ratio created in #3

1.      Pull Daily Unique Visitors for one month (site level)

http://www.pradeepsv.com/blog/images/Daily-Unique-Visitors-Report.png

2. Pull Monthly Unique Visitors for one month (site level)

http://www.pradeepsv.com/blog/images/Monthly-Unique-Visitors-Report.png

3. Calculate the ratio of between them.

i,e Ratio = MUVs/DUVs

http://www.pradeepsv.com/blog/images/Ratio.png

4. Pull the report where you need to MUVs from DUVs
5. Calculate Estimated MUVs metric by Multiplying DUVs by Average ratio created in #3

http://www.pradeepsv.com/blog/images/estimated%20MUVs.png

Have a look at the difference between the actual and the estimated Monthly Unique visitor, its negligible or I would say it’s acceptable anywhere between 10 to 20% of discrepancy.

Please drop in your comments just in case if we have better way of calculating Monthly Unique Visitors or if you feel calculation displayed above is wrong or your recommendations if any.

Note: This was not my orgninal idea, it was proposed by my co-partner who is a program manager.

Mobile Analytics: Some FAQs !!

August 7th, 2008 5 Comments »

What is Mobile Web Analytics?

Mobile Analytics is no different from Web Analytics other then here we study the user behavior in the WAP website (Mobile Website) using data collected from the mobile users (Data such as visitor information, carrier information mobile used and so on..) to increase ROI through Mobile Users and to target the specific carriers or segmented Users.

Why Mobile Analytics? and How will it be useful?

Insights or Gold in Avinash’s term ;-) extracted through the data collected can be used to target the users to enhance and to helps in targeting the segmented users, here is more to say how mobile analytics would be helpful,

  • Improve a WAP website or understanding of website architecture.
  • Mobile campaign’s audience.
  • Mobile Advertising
  • Mobile Search Marketing
  • Text Campaigns
  • etc.

What do we measure?

Different vendors has claims to measure different metrics, some of the useful and most commonly measured metrics are

  • Visitor Identification
  • Mobile specific information
    • Mobile phone device
    • Mobile network operator
    • Country and Language

How do we Measure?

hmmm this is where the implementation jumps in, which I am going to write it in my next blog post.

Who are the players/vendors?

1. Omniture - With the release of SiteCatalyst 14.1, it has introduced mobile analytics capabilities which can measure the performance of mobile marketing campaigns, Omniture can measure,

1. Visitor Identification
2. Mobile Device Reporting
3. Mobile-Specific Collection Enhancements
4. Geo-location and Carrier Identification

2. Bango - To provide the highest levels of accuracy, Bango provides two different techniques for capturing mobile metrics - link tracking for campaign analysis and page tracking for site analysis.

More on Bango from MarketWatch

Features and benefits

  • Site analysis - measure and improve your website for mobile traffic
  • Campaign analysis - measure your ROI using independent data
  • Unique visitors - how many people are visiting your site?
  • Geo-locate your visitors by country
  • Operator identification – including virtual networks (e.g. Boost)
  • Handset information – make, model and features
  • Compare goals against your campaigns and web pages

Source - MarketWatch

3. Amethon - A server side mobile analytics solution that sniffs network packets to track 100% of the http packets traveling between the handset and the mobile web server building real time analytics.

  • Bandwidth (total, average per visit, total per file type)
  • Hits (average per visit, number of downloads, page view breakdown)
  • Visits (entry page, average duration, click paths, referring search engine)
  • Visitors (browser type, user agent, operating system)
  • Handsets (make, model, screen resolution)
  • Mobile Operator (country of origin, operator name)
  • Geo Location (country of origin, RDNS lookup)

Source - Wiki - Mobile Analytics

4. http://blog.sitestat.com/ - an another web analtyics service provider

5. Wapalizer - http://wapalizer.com/home/

6. Mobilytics - http://www.mobilytics.net/

7. http://mobilestats.co.uk/ - an another vendor which provides mobile stats

I will write about the Mobile Implementation in my next blog post.

Updated - 20080929

Found another mobile tracking tool

8. Clicky Web Analytics - Web Analytics on your iPhone - you can see some of the screenshots

Update - 20091104

9. ADMob.com - AdMob connects people who want to buy ads with people who want to monetize their mobile traffic through the AdMob Marketplace. We make advertising and publishing easy with solutions and tools to meet your unique needs.

How do you Implement & Measure Form Performance and Conduct Form Analysis

July 28th, 2008 5 Comments »

I had a request within my company to instrument Form Analysis plug-in, so I thought why not I write about the measuring form performance or the term “Form Analytics”,

  • What is a form? What are its key issues
  • What to measure while doing the form analysis (to know about causes of failure or the reason for abandonment of form?)
  • Solutions to track form interactions
  • Setup and Configuration of Form analysis plug-in
  • And the Usage part of form analysis.

What is a form? What are its key issues

Form is a bridge between the user and the site owner or just a info collecting junction from the visitors or in a bit technical terms Form is just the bucket or the bowl which has many elements used to collects the data from the user, and form has to be organized such way user should feel happy about filling it up rather it should be projected in such a way user should fill in completely.

Example form

Normally, you must have seen there is lot about the analysis, tips, benefits suggestion on most of the web analytics concepts however you must have not observed clubbing all the above along with the implementation and instrumenting part of it, lets see how well I could put forward the combination of both.

Form filling is of one of the checkpoint or the lead generation stage for most of the website, wherein form has to be clearly optimized to generate the lead i.e. it should be projected in such a way user should not get bugged up in filling rather they should fill it in no time with out compromising in collecting the relevant data. This makes analyzing the form more comprehensively where its border line in making use to convert from pre sales to post sales.

Through form we tend to learn lot about the user, what they need and what they are looking, it’s most necessary to make them to fill the required form with in the website and this is the issue/challenge here and we are trying to analyze how quick and how much easy we can make the user to fill the forms.

What do we need to measure while doing the form analysis (to know about causes of failure or the reason for abandonment of form?)

This is a good question, here is where we need to make the decision, we need to decide what to capture to take a better action on optimizing the form lets break this into different parts,

  1. What we need from the form? or who have actually filled it?
  2. Possible reason for not completing the form or Why user just Abandoned it,
  3. Form look and feel.

So generically, we need to know why the form left unfilled and also why it was completed (you must be surprised to see this question have a look into below description)

1. What we need from the form or analyzing who have actually filled it.

If we get the successful form completion that’s not the end and don’t think you have achieved perfection.

There is lot many questions need to be answered even after form is filled completely like,

  • Time Taken in filling up the complete form
  • Have they filling it sequentially? Or randomly, which form element was filled first.
  • Have the user filled the entire form element or anything left out which was kind of optional.

Above details would be much helpful in further optimizing complete form.

2. Possible reason for not completing the form or Why user just Abandoned it,

Again you need to know what could be possible reason in not filling the form completely,

  • Technical problem? Like browser compatibility issue? etc.
  • Length of the form, too much of field elements.
  • Naming conventions, good labeling of each of the field is also important.
  • May be even the security issue.

3. Form look and feel.

Presentation is amazingly important wherever you go and whichever field you take, for should look beautiful for user to complete it.

Solutions to track form interactions

Keeping all the above questions, reasons and analysis in mind, we need the web analytics solutions to track all the user interaction within the form and that’s the need of the plug-in to the existing solution.

As I am currently working on the Omniture SiteCatalyst Solution, it has a plug-in for form analysis which you can add to existing code, you might have to request this plug-in from your omniture account manager.

Setup and Configuration of Form analysis plug-in

As I had mentioned above you need to request for Form analysis plug-in from your account manager, insert into your JavaScript file.

There are 2 sections in the plug-in,

  • Configuration section.
  • Function definition section.
  • Form Testing
  • Metrics

Configuration section

You need to decide, whether data need to tracked into traffic reports or the commerce reports and set the config variable accordingly. Under commerce you can measure mainly three events a. Abandon, b. Success, c. Error. Based on the decision on viewing the reports (Traffic or Commerce) configuration code will get changed.

Three main configuration variables useCommerce - set to be true if you are using commerce reports, varUsed - need to be set with all the variables used to populate for example prop or eVar variables and eventList - if commerce is used then event list needs to be triggered on success, abandon or error.

Configuration Section

Function definition section

On any event like Success, Abandon or Error you have to call below function,

For example if the user while filling the credit card details enters 10 digits instead of 16 then you can call the plug-in function along with the details like error type, page name, form name and description of the error.

sendFormEvent( error_type, page_name, form_name, element_error)

Form Definition Section

Form Testing

Have a look at the below image, you can see event3 is triggered on successful submission of the form and eVar1 is used to fill the details.

Click on the image for clear picture.

Testing Results

Metrics/Reports

Click on the image for clear picture.

And the Usage part of form analysis

Here the main theme is to provide the comprehensive analysis of each of the users or a bigger picture of information on Success and Failures of the form filling.

Main metrics I would recommend to collect is

  • Time Spend in filing the form
  • Any unfilled elements
  • What stage user abandoned the form?
  • Rate of abandonment.

Updated:

1. I have found some of the interesting article that was published on form analytics, one which was impressed me was from Click Tale but I am not sure how difficult to implement it to get those details of data.

2. I have also found the way of implementing of form optimization in one of the article which might interests one who is using Google Analytics as the web analytics solution  “Optimize Form Length with Input Analysis