Analytics 2.0

Much more than just tagging

Advertising on web 2.0 – Are we ready?

One year ago or so I was talking about something I called DAD or desired advertising (like this one or this one) that was based on delivering the right ad to the right person, and the right ad to the right person is linked to the variable “time”. And the variable time (when I want it) is expressed by the user in different ways, but always as an exteriorization of a desire.

When the people browse in a search engine, or search content within a site or navigate particular content, or even accept to open an email, quick message, or SMS those actions express their interest in some content they are like to get in touch with, while the frequency, time spent, and visit repetition, among others indicators give us a clue about the level of relevance that an specific content has to a particular user / consumer.

Some of the actions I proposed in my post where implemented and are very successful, like random advertising in youtube video (just to mention an example) but the key function is understanding user / client needs and desires and thats in my opinion what is not yet well developed. There is a lack of techniques for a correct desirability tracking and processing.

You Tube Ad

Are we really prepared for internet 2.0? Are we acting to drive internet to the 2.0 version or just reacting? In my opinion “If we keep doing what we are doing we’ll keep getting what we are getting”.

Juan Damia

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Avinash Kaushik – an amazing interview

I’m so glad of presenting to you this interview with Avinash Kaushik. If you are reading this blog is because you are, at least, interested in web analytics, and of couse you know him, but just as a formality here is Avinash’s BIO.

Avinash Kaushik

Avinash is an Independent Consultant with a focus on speaking and consulting engagements that help organizations unlock the power of web research and web analytics to create truly data driven organizations and gain a strategic competitive advantage. He is also the author of the book Web Analytics: An Hour A Day, published by Wiley.

Web Analytics an Hour a Day

Currently He is the Analytics Evangelist for Google.

Most recently Avinash was the Director of Web Research & Analytics at Intuit Inc where He was responsible for supporting the decision making for Intuit’s 60+ ecommerce and non-ecommerce websites. His team focussed on Intuit’s needs in the areas of: Advanced Web Analytics, Competitive Intelligence Analysis, Experimentation and Testing (A/B, Multivariate etc), ClickStream & Outcomes Analysis, Customer Satisfaction measurement & VOC analysis, Web Research (Lab Usability, Site Visits, Heuristic Evaluations etc).

Avinash’s professional career has focused on Decision Support Systems at Fortune 500 companies such as DirecTV Broadband, Silicon Graphics Inc & DHL in Asia, Middle East and the US. If you are interested you can check out his LinkedIn Profile.

He is also thrilled to have the title of Associate Instructor University of British Columbia, having contributed three modules to the UBC Award of Achievement in Web Analytics course.

He has given keynotes / speeches at the eMetrics Summit in Santa Barbara and London, Ad-Tech NYC, Frost & Sullivan Internet Marketing Strategies 2006, Ad-Tech Impact and ATG Insight 2006. For a full list of speaking engagements click here.

JUAN: What does web analytics means to you?

AVINASH: I paused for eight minutes when I read this question! It has so many answers, some probably more philosophical than others. Let me try the straight answer…..

Web Analytics to me is a way of understanding the customer experience on your website with the goal of improving the experience so that the customer is able to complete her / his task as efficiently and as quickly as possible.

On the personal side, to me Web Analytics is the opportunity to collect and analyze data in one of the most interactive environments where you can have a direct and bottom-line impact faster than on any other channel on the planet at the moment. It is so cool when you think about it for a second.

JUAN: How would you define web analytics?

AVINASH: As a member of the Board of Directors of the Web Analytics Association I would be remiss if I did not first provide the official WAA approved definition, here it is…..

“Web Analytics is the measurement, collection, analysis and reporting of Internet data for the purposes of understanding and optimizing Web usage.”

Typically people tend to think of that in very restrictive terms, just clickstream data you can get out of Omniture or HBX or Google Analytics.

I think of Web Analytics as collection and study of any data related to the website and the web channel. In addition to clickstream it would include survey data, experimentation and testing, competitive intelligence, integrated off site and on site data etc etc. It is a much broader view to understand the holistic picture.

JUAN: Why should companies do web analytics?

AVINASH: Because it feels good to make lots of money, rather than staying poor, and it feels good to have happy customers who love you, rather than those who hate you with passion because your website is a hindrance and not a help.

JUAN: Some managers think that having a web analytics professional is not necessary because “anyone can manage the web analytics tool”. What is your opinion about it?

AVINASH: I have a rule called 10/90 rule that I had created three years ago. It came out of years of my experience in the space. It states simply: that if you have $100 to spend on Analytics then you should spend $10 on the tool and $90 on people. That should give you a feel for my opinion about the importance of people in finding insights. Tools are just….. tools.

You might invest in people in your own company to help you understand your goals and objectives and analyze your data to find insights and help drive change. If you don’t have that horsepower then you should go get it from outside, get a consultant who will do that work for you while you find someone and hire then and transition from consultant to your own employee.

I cannot state it more simply: If you don’t have the people (in-house or consultant) to truly analyze the data and find insights then why have the analytics tool?

JUAN: Would you recommend companies having a web analytics professional in-house or outsourced (a consulting company).

AVINASH: Ahhh I have a blog post for this one as well, here is the link…… Web Analysis: In-house or Out-sourced or Something Else?

In short my recommendation is that the end goal should be to have that expertise in-house because no one can understand your company uniquely like people in your company. But in the post above I recommend a four stage plan of moving from getting tactical help from consultants to finding someone in-house to training them to do tactical to transitioning consultants to only do cutting edge competitive stuff. That’s a simple lifecycle.

JUAN: You were part of the new Google Analytics version. Are you completely satisfied with the result? If not, what things do you think must to be improved in the immediate future?

AVINASH: I was, unfortunately, not a part of the new version of Google Analytics, though it sure would be nice to claim credit! The leadership of the new interaction model in GA goes to Jeff Veen and his merry band of design and UI experts. Google is lucky to have them.

I think that even Google’s competitors will agree that the new GA interaction model is a radically better and sets a new benchmark for how users should interact with data and quickly and efficiently find insights. Its strengths are data discovery, providing context everywhere, lots of interesting visualization, non-ecommerce reporting etc.

There are a whole bunch of things I would love to see evolve or added. Even since the release of version 2 of GA there have been two major releases with new features. This rapid improvement will continue because the team is passionate about solving real world problems of its users.

JUAN: Which technology do you prefer, page tagging, web log analyzers, hybrids, packet sniffers, others or it depends on every particular project?

AVINASH: This is a whole chapter in my book (note from Juan: you SHOULD read Web Analytics an Hour a Day, you have years of Avinash’s experience in that book) and I don’t want to bore your readers to death here. I do encourage them to read the book – or I have some posts about this on the blog as well – if they want deep details.

Each data collection methodology has its merits and should be weighed carefully, it is perhaps the single most important decision you’ll make about web analytics because once you make that decision you’ll be locked into the technology, people, organization structure, future evolution etc.

For most websites and businesses I recommend considering page tagging for two reasons they don’t think about as much:

1) Innovation: Most innovation in data capture, processing and reporting is happening on top of solutions that use page tags as a data collection mechanism. Vendors are not investing enough in other solutions, for better or for worse. So unless you have the wherewithal to build your own infrastructure and innovate in the web analytics space then it is perhaps more prudent to give stronger consideration to page tag based solutions (from any company).

2) Integration: You want your web analytics solution to integrate with your survey tool or your behavior targeting tool or your multivariate testing tool etc etc. That way you can understand customer behavior better and even optimize it. At the moment it is easiest for you to achieve this if you have a page tag based web analytics solution.

There are others who will swear by different ways of collecting data. I encourage everyone to take a step back from the tactical arguments and consider the choice in the context of the above two thoughts.

May the force be with you!

JUAN: How do you imagine the web analytics industry in the future?

AVINASH: I think we are in for a couple years of rapid evolution and revolution. Tools will change, the skills we expect from a Web Analyst will change, Marketers will get directly in charge of using their own data and driving changes, there will be consolidation and there will be closures and new starts.

I wish I had a crystal ball and I could pin point exactly what will happen. But I am convinced that the world of web analytics will radically change in the next two years.

On and in the next three to five years there will be no such thing as “web analytics”, it will simply be all “business analytics” because the web will be that big and all the business will be on the web!

JUAN: Which advice / recommendation would you give to a web analytics professional?

AVINASH: You are the hottest commodity out there, if you are any good, ask for a raise :-)

On a serious note here are a couple of thoughts:

- If you are only well versed in Clickstream data and “web analytics tools” then it is time to expand your expertise. Clickstream is just a small part of what it takes to understand web customer behavior.

- Common sense is greatly underrated (and under applied) when comes to doing analysis. It is important to be aware of its importance (and always remember the principle of Occam’s Razor).

- Get close to your marketers and website owners. Being close to the business will give you the key context that you need to 1) know where to focus your analytical efforts and 2) understand your data a lot better than you otherwise would.

- Read Juan’s blog religiously, it is very good!!

JUAN: What’s the best book you’ve read?

AVINASH: Growing up I was a voracious reader, the Indian mythology comics (Amar Chitra Katha – http://tinyurl.com/yrpgju) perhaps had the greatest impact on me during my formative years.

In terms of western books I read Ayn Rand’s The Fountainhead (http://tinyurl.com/29bv3u) when I was very young, and another three times over the years. It left a very deep impression on me.

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I would like to personally thanks Avinash not just for participating in this interview , which took a lot of his valuable time,s) but also for all what he does for web analytics. He is one of the people that is driving web analytics to the next level. I always say that I don’t think that some people are more intelligent than others, but more passionate, and Avinash has a contagious passion. He probably is one of the most passionate and dedicated professionals I’ve ever meet.

Thank you very much Avinash!

Juan Damia

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How to define and optimize funnels

If you want to analyze any special process from your site with the funnel function here are some tips.

The first thing you should consider is that your site is a system, taking into consideration the very basic concept (wikipedia: from Latin systēma, in turn from Greek σύστημα systēma, is a set of entities, real or abstract, comprising a whole where each component interacts with or is related to at least one other component and they all serve a common objective), and as every system is extremely important to understand what things flows through it, how those flows occurs and how every part of the system is connected and interact with the others.

 

A funnel is nothing but setting up your analytics tool to track “part of your system flows” that’s why is important to understand first the entire system and its interactions.

So once you designed your information system (how the information flows through you site) you must identify “the must track process” within the analyzed system. How to do this? Identify from your critical path the tasks you will easily interpret if any deviation (from planned) occurs. Those indicators will became the sensors will indicate you which part of your system became your RCR (restricted capacity resource) or normally called bottle neck and then why your are or are not achieving your goals.

critical path method

This will take you for sure more time than just setting up the funnel for every goals that “all the people normally track” but does it make any sense analyzing every part of the system as an isolated thing? I guess not.

Please don’t hesitate in contact me is you have any question or doubt.

Juan Manuel Damia (Web Analytics)

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Recycling your mind for a better analysis

As much as we learn about our career and became better professionals as much things we do with no mental process involved.

Once a journalist asked Pete Sampras what does he think about when playing tennis, and Sampras answered, I just react don’t thinking process involved.

recycle your mind

The same thing occurs to us, and even when this allows us to become more and more pragmatic, we should never lose our curiosity.

So when you start using or just try any web analytics tool, start from the very beginning, understanding what every indicator means in terms of web analytics and in terms of your or your clients businesses.

Juan Damia (Web Analytics)

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The hard task of understanding text messages

Since most of cell phones have no QWERTY keyboard people should create an easier way to write their messages, so today you should program your head with this new codes if you want to understand what your colleague, client, supplier, or friend are telling you.

txt_message

Because sometimes the obvious it is not so, here is a useful list of some those codes:

A3 – Anytime, anyplace, anywhere

AAMOF – As a matter of fact

AFAIK – As far as I know

AFK – Away from keyboard

ASAP – As soon as possible

B4 – Before

B4N – Bye for now

B/C – Because

BB – BlackBerry

BBL – Be back later

BRB – Be right back

BOL – Best of luck

BRT – Be right there

BTW – By the way

CU – See you

EO&E – Errors, omissions and exemptions

EOD – End of day

FWIW – For what it’s worth

FYEO – For your eyes only

GTG – Gotta go

G2G – Good to go

GJ – Good job

HH – Handheld

IANAL – I am not a lawyer

IDK – I don’t know

IIRC – If I recall correctly

IMHM – I’m home

IML8 – I’m late

IMO – In my opinion

IMHO – In my humble opinion

IMNSHO – In my not so humble opinion

JAM – Just a minute

JK – Just kidding

LOL – Laugh out loud

LTNS- Long time no see

L8R- Later

NE – Any

NE1 – Anyone

NO1 – No one

NP – No problem

NRN – Not right now

PLS – Please

PPL – People

R - Are

RAP – Requires approval

ROFL – rolling on the floor laughing

RU - Are you

STH – Something

TMB – Text me back

TTFN – Tata for now

TTYL – Talk to you later

TY – Thank you

TNX – Thanks

U - You

UR – You are, Your

W – With

WAN2 – Want to?

WO – Without

WTG – Way to go

WRT – With respect to

XLNT – Excellent

YT - You there?

YW – You’re welcome

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Google model. Formal Business, informal behavior.

This is a very Google like way to communicate when something is not working fine.

I’ll try to apply it with my clients…

 

Just in case you can´t visualize the text: “Google Trends is very popular right now and we could´t process your request please try again in a frew seconds”.

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