Showing posts with label Attention Economy. Show all posts
Showing posts with label Attention Economy. Show all posts

WASP love!

As WASP is grabbing some attention in the market, people are mentioning it more and more on their blogs. Here are some of them:

"WASP is a plugin created by my good friend Stéphane, he lives in Canada and its a great tool. It just detects all the javascript tags. So if you go to my blog you'll see I'm using 9 tools, just because I can!" (laughs!)
"Stephane Hamel has created a wonderful plug-in for just this purpose and it’s well worth the download!"
"Very useful, as no tracking code usually means no data collected!"
"In terms of Web analytics, being good at your job should at least include knowledge of the following".
"One great plug in that everyone interested in web analytics should be using"
There are also mentions worldwide!
Since WASP is vendor agnostic, they are also starting to mention it in their own literature and online. I also heard rumors that trainers, support teams and implementation specialists are using WASP and mentioning it.

An immersion in analytics

From time to time, I catch up with my friend Joseph Carrabis to chat about strange topics. Take last week, our "topic du jour" was about company tag lines. Simple topic, interesting outcome!

Web analytics is easy to do badly

I was thinking of changing immeria's current tagline from "an immersion in analytics" to something else, something more representative of my goal "to make web analytics easier by fostering education, processes and tools".

Interestingly, while reading "Discovering Knowledge in Data: An Introduction to Data Mining" from Daniel Larose I stumbled on a nice quote readily applicable to our field:
Just as with any new information technology, (data mining) web analytics is easy to do badly.

A mentra for immeria

Guy Kawasaki's book "The Art Of The Start" covers "mentras" in the first chapter. My thought process went from immeria = "an immersion in analytics", to "making web analytics easier" and then, simplified even more, just "easier analytics". Joseph and I reflected on taglines for other companies in the web analytics and marketing space. I felt "easier analytics" would be quite good, simple and to the point. And I must admit it would be a pun to those who say web analytics is hard... :)

Alliteration and syllabation: here comes M.Carrabis!

To which Joseph argued, with his never resting scientific mindset, that my current tagline is better because "alliteration combined with increasing syllabation causes things to go into memory quickly, stay there for a long time and be easily recalled when necessary".

He continued: "an immersion in analytics works as a mnemonic device because it has a driving syllabic rhythm (1-3-1-4) and because the alliterative elements are echoed (an ... ANalytics), (...im...IN...). The sense given from this tagline is that we're going to go into something to learn how to deal with it on the outside. Very good and probably the way you think of things, knowing you somewhat."

Joseph, you are amazing! (and I will stick to "an immersion in analytics").

The gift of trust from Avinash Kaushik

Going trough my usual round of blog reading this morning, I noticed a new post from Avinash Kaushik. Must be good: Avinash is a well respected and trusted source. In two years he has become one of the (I would dare to say THE) greatest influencer trough his very high quality blog posts, his book, speaking and now being the official web analytics evangelist for Google Analytics. The personality plays for a lot: cheerful, always willing to give, very attentive to his interlocutor regardless if its face to face or millions of pixels away.

Trust and influence is something people give you, not something you claim.

You could become an influencer, looks like I'm one now!

What happen when someone like Avinash says this:

A email Stephane wrote to me made me realize how fantastic blogs are at creating “influencers”. He described how at the eMetrics Insights Day he was invited to present industry insights on a panel along with Jupiter and Nielsen.

Pause and think about it for a second.

Two big established companies with budgets of millions and years in the “business”. And one, like me, “small” blogger. And he has the power and the authority as a result of his blog (and WASP ).

Now to be honest Stephane is brilliant and get’s invited to do this all the time. But even someone like me gets invited all the time to “analyst briefings” (sadly I decline most of them) and meeting with CEO’s and yes even gets sent nice gifts. :) Trimmings that in the past were reserved for the elite few.

For the longest time the loud voices belonged to the “experts” and “analysts”. Forrester and Jupiter and Gartner and others had a hold on the “influencing” market. They continue to have a voice, but it is no longer the voice.

Through your blog you have the power to be a “influence powerhouse”, provide an authentic voice of someone who actually knows, and provide a valuable service to the world.

The ability to influence others is now a lot more democratic. Next up on stage, Stephane, Nielsen, Forrester and You!

And that is a good thing.

I fell off my chair... When I woke up I felt good, honored, happy. Thank you Avinash!

"Where did I want to be today?"

A twist on the slogan "Where do you want to go today"? My career spans 20 years, most of which was in IT, the past 15 or so dedicated to the Web. Every now and then it was "review time", depending on the culture of the company and the quality of the boss it was not always fun, not always very constructive...

Some gems:
  • "Your grades are not good enough, don't even try going in IT" (a high school teacher trying to help us find our way in life...). I'm now twice on the MBA honor roll...
  • "You can't understand this, you are an IT guy". A marketing manager when I recommended changes to a site. This was the trigger that got me to do an MBA!
  • "You've got the defaults of your qualities". From a particularly clueless manager...
  • "I'll show you everything I know so you can take my job. Then I will do something even more fun!". A great manager.
  • "You failed the break-even math question. Sorry, we won't hire you". After spending a full day of interview with about 10 people...
  • "You don't have enough dedication to the company". After doing way too much unpaid overtime for a company that was shortly after purchased and cut 10-15% staff.
But I got asked a few times "where do you see yourself in 5 years" and my answer was always the same: I want to share my knowledge and be recognize as an expert in my field. Some viewed it as "inflated ego". Credit goes to a book called "Becoming a technical leader"...

I didn't want to be a boss, nor did I want to be rich. Simply that I wanted to be trusted and continue to grow my expertise trough knowledge sharing. Thus my inclination for consulting, teaching, speaking and doing R&D.

Today I feel a lot closer to my goal.

Free book from cScape: are you a winner or a loser?

A couple of weeks ago I was contacted by cScape because they found my blog post, “Bubble-burst 2.0”, of interest for a new book entitled “Winners and Losers in a Troubled Economy”. Authors Richard Sedley and Martyn Perks provide an outstanding (and free!) 80 pages book on engagement and how digital media, when used correctly, can not only help businesses today but especially when the economy hits the fan. The book is à propos those days, but it’s also an excellent introduction to online marketing and customer engagement. The topics covered include:

  1. New marketing: the old ways will not do
  2. The changing face of the customer
  3. Creating an online customer engagement strategy
  4. How to create your online customer engagement success
  5. The tactics for creating a customer engagement strategy
  6. Measuring online customer engagement
  7. What role can digital media play during a recession?

I’m honored to have made my small contribution alongside people like Jim Novo, Eric Peterson and points of views from Foviance, Satama and several others. For me, it’s a reward for growing from my roots in IT and getting a more strategic and business oriented professional profile.

Download “Winners and Losers in a Trouble Economy

Download the “2008 Annual Online Customer Engagement Survey

Bubble-burst 2.0

According to John Gartner, we are or will be witnessing pretty soon the second burst of the Dot-com bubble.

It's ridiculous over inflation of Facebook's worth has gotten even the optimistic to say that the emperor has no clothes. Social networking and widgets are cool, but they aren't going to change the dynamics of commerce and advertising.
On this point, I totally agree with M.Gartner. From a financial perspective, the over inflation of some innovations, or in fact, not so innovations than better repackaging of existing inventions, is ridiculous. Facebook is, for the most part, a fancier version of the old closed BBS's environments. While Dot-com 1.0 was all about growing the largest client-base, even if totally unqualified; Dot-com 2.0 is about gaining as more attention as possible. And it appears the concept of "attention economy" is one of my favorite. Except here, the concept is screwed toward pure capitalism based on money and market, as M.Goldhaber flamed about in his post "The Wrong Book". Here's, in short, what Goldhaber says about the attention economy:
It is an economy in the sense that it involves allocating of what is most scarce and precious in the present period, namely the attention that can come to each of us from other human beings.
Could Web 2.0 be something else than rich media, social media, network as a platform, AJAX, consumer generated content and all those fancy ways of reaching the end goal: attention?

Gartner ends his post with:
Blame the ongoing war, the lead-tainted toys, the housing and mortgage collapse, and volatile days on Wall Street. Uncertainty across the board is about to investments Web 2.0 companies hard.
Again true, just like Bubble 1.0 economics, stretched Bubble 2.0 economics will be a thing of the past. What will remain are the concepts and the tools to help businesses, and ultimately people, be more efficient.

The Human Metric of Web Analytics

This article was recently featured on iMediaConnection. It is reproduced here and slightly enhanced.

Integrated marketing guru Don E. Schultz coined the phrase "marketing is static, but the consumer is dynamic" nearly two years ago. Businesses must rely on the expertise of their web analysts to tap into the invaluable data collected through their websites.

If anyone still has doubt about a career in web analytics, the recent eMetrics Summit revealed just how hot the job market is. Attendees and exhibitors looking to hire wore a green dot on their badges, a simple and effective method that clearly demonstrated the huge demand for web analysts.

"As an experiment, it was too successful," says eMetrics Summit producer Jim Sterne. "We don't want to scare away managers who are worried their employees will be poached at the next one in October, so this was one time only."

Furthermore, results of a study by WebAnalyticsDemystified revealed that nearly 50 percent of those already in the web analytics field are considering looking for a new position. The Web Analytics Association job board lists dozens of available positions and Indeed.com, a job hunting aggregator, shows a 400 percent increase over the last two years for jobs containing the term "web analytics."


What should companies seeking web analysts be looking for?

  1. Experience: web analytics is not an entry-level position
  2. Multi-disciplinary background or training
  3. Attention to detail and ability to focus

Experience

Despite being in web analytics for fewer than five years (77 percent), and most of them fewer than 3 years (52 percent), nearly 60 percent of web analytics professionals consider their job to be "difficult." It appears that most web analysts didn't land in their current job on their first assignment; most of them have grown from other related fields.

Paul Holstein, project manager at CSC Financial, reviews the situation: "We searched for an analytics analyst for more than six months and finally gave up looking for an experienced person. We hired a bright and motivated analyst who we could train in web analytics. We benchmarked what attributes we were looking for and began our search for a curious, intelligent, driven sort of person."

Surprisingly, fewer than 30 percent of companies have a dedicated resource for managing web analytics and more than 40 percent recognize they are not maximizing the potential of their current web analytics solution (source: Aberdeen Group).

Multi-Disciplinary Background or Training

Web analyst expertise is multi-dimensional. Knowledge of interactive marketing and web design/usability, statistics, web technologies and internet concepts, as well as acute analysis and communication skills are just some of the competencies of the perfect web analyst. While most web analysts struggle to satisfy very diversified expectations, those who have the chance to be part of a multi-disciplinary team with the maturity of an analytical process and culture will benefit the most.

But what are web analysts really doing? What makes this job so difficult? A few months ago, web analytics guru Avinash Kaushik proposed that web analysts should spend their time on five major activities:

  1. Reporting, providing results from various metrics to find out about the "what and how much";
  2. Analyzing acquisition strategies and basically everything that brings traffic to the site;
  3. Understanding the onsite customer experience and if the "persuasion scenarios" are working as expected;
  4. Plugging into the business context, keeping up with the operational and strategic changes that might affect the web;
  5. Exploring new strategic options, experimenting and improving the site, keeping up with the web and analytics evolution.

Attention to Detail and Ability to Focus

The Attention EconomyTaking for granted "attention", the cognitive process of selectively concentrating on one aspect of work, is the scarcest resource of all, each task was evaluated by mapping the attention type required to accomplish it. According to the AttentionScape methodology developed by Davenport & Beck in "The Attention Economy", the most effective attention will go to items that are shown near the center of the chart. The detailed survey of 36 web analytics practitioners mapped each task under three different dimensions:

  1. Front-of-mind vs. back-of-mind: The attention type of the music you listen to while working is back-of-mind, in that it doesn't involve a focused attention. Front-of-mind attention is conscious, focused and explicit.
  2. Voluntary vs. captive: There are some activities you can't avoid, and some others you deliberately choose to do because you want to learn or because you enjoy doing them.
  3. Attractive or aversive: Some tasks bring positive experiences, while we have to do others to avoid negative consequences.


The study revealed that all web analytics activities require a relatively high level of front-of-mind attention: concentration and focus is required. However, too many front-of-mind activities can lead to anxiety, stress and a feeling of being overwhelmed. Speaking with some analysts revealed that this is a common feeling among practitioners.

Where to go from here?

Some people might say the results of the study are not surprising, but in a way it is comforting to see that between the goal and the current state of affairs, web analysts live with similar challenges and struggle with the same hurdles. There is still a lot to do in order to bring the most valuable strategic insights to organizations deploying web analytics. The tools themselves are already providing a lot more functionality and information than anyone can handle, but as more educational resources become available and businesses come to realize the value of web analytics, the role of web analyst is likely to become critical not only to a successful internet presence, but maybe even to the success of entire organizations.
The role of web analyst is critical to a successful internet presence and maybe even the success of entire organizations.

As Davenport, Cohen & Jacobson say in "Competing on Analytics", "Employees hired for their expertise with numbers or trained to recognize their importance are armed with the best evidence and the best quantitative tools. As a result, they make the best decisions. In companies that compete on analytics, senior executives make it clear -- from the top down -- that analytics is central to strategy. Such organizations launch multiple initiatives involving complex data and statistical analysis, and quantitative activity is managed at the enterprise (not departmental) level."

Summary

One of the best ways to find web analysts with the three most important key elements is to attend a local Web Analytics Wednesday meeting. These are held every month in most major cities worldwide (including Montreal and Quebec city). The WAA also has a job board where companies can post their interest.

Another option, one followed by CSC Financial, is to grow your own. Companies following this route will want to make sure their candidate takes part in the WAA's UBC Award of Achievement in Web Analaytics trainings, reads the WAA message board and related blogs as they’re a ripe source of relevant information for people with experience and those just entering the field.

Study results: 3 key skills of web analysts

I'm really proud to announce the publication of "3 key skills of web analysts" on iMediaConnection.

The role of web analyst is critical to a successful internet presence and maybe even the success of entire organizations.
This article provides the results of my study of web analysts and answers two primary objectives:
  1. Quantify how web analysts spend their time on various tasks, and more importantly, what type of cognitive process they engage in while doing those activities.
  2. Help web analysts understand their own job characteristics and explain it to their managers and fellow workers
Conducting such a study was an interesting endeavor and a very good learning experience! Thanks to Avinash for sparkling the idea with his post about "How should web analysts spend their day". I also got great support from John Beck, co-author of "The Attention Economy" and visionary at The Attention Co. Thanks to Jim Sterne, Avinash Kaushik, Eric T. Peterson, Jacques Warren, Anil Batra and my boss Bernard Cinq-Mars who reviewed and commented an early draft of the article. I specially want to acknowledge the great help I got from my friend Joseph Carrabis, who coached me into writing this article and offered his great wisdom to help me out. And lastly, Brad Berens, editor in chief of iMediaConnection, who's giving me the chance to reach beyond my little blog!

Of course, a special thanks goes to the web analysts who spared a little bit of their attention and took the time to fill out the survey. I look forward to comments, suggestions and even critics!

Stay tuned! In the coming days I will publish additional details about various aspects of the study.

Study: first results are in!

The sample size for my study on the Attention Map of Web Analysts is not large enough (yet), but I wanted to share a first snapshot of the results as a tease for others to take the 10 minutes survey!

I leave it up to you to find out which task is the most captive and front of mind, and which one is the most voluntary (hey! I can't spoil my results just yet!).

If you are a practitioner, a consultant or working for a web analytics firm and your job includes some web reporting and analysis, please fill out the survey.

If you are blogging about web analytics, I would be grateful if you could spread the word about this research and help me get more survey results.

Study: Mapping Attention of Web Analysts

Those of you who have been following my recent posts knows about the "attention economy" and that I want to apply those concepts in web analytics. What better way to show how valuable it is than a real world demonstration!

Take the 10 minutes web analyst survey!

Primary objective

Quantify how web analysts spend their time on various tasks, and more importantly, what type of cognitive process they engage in while doing those activities.

Secondary objectives

  • Demonstrate time ≠ attention
  • Help web analysts understand their own job characteristics and explain it to their managers and fellow workers
  • Demonstrate the potential application of "attention" metrics as a qualitative element of a user experience on the Web (in a future study)

Methodology

  • Typical web analyst tasks, as defined by Avinash Kaushik in "How Should Web Analysts Spend Their Day?", are used as a basis, assuming those tasks are representative:
    • Reporting
    • Analyze acquisition strategies
    • Understanding on-site user experience
    • Stay plugged into the context
    • Explore new strategic options
    • Other activities
  • The AttentionMap questionnaire and methodology from The Attention Company is used to quantify the various types of attention being given to each task:
    • Overall amount of attention and how it is divided between different areas
    • Aversive or attractive
    • Front of mind or back of mind
    • Captive or voluntary task
  • A Zoomerang survey is used to collect responses from participants.
  • The target audience for the survey is initially the The Web Analytics Forum on Yahoo! Group and might be re-linked from other blogs.
  • Survey sample: the exact population size is unknown, but based on a recent survey of web analysts by Eric T. Peterson that led to 1,076 answers, this study aims to collect at least 278 responses before June 1st. This would represent a confidence level of 95% with an error margin of 5% for a population size of 1,000.
  • Anonymously collected survey data will be analyzed and filled in the AttentionMap.

Results availability

AttentionMap results will be published on this blog, along with a detailed analysis. Collected survey data will be available upon request.

Disclaimer

I have no financial interests in this study. I am not professionally affiliated with any of the afore mentioned companies or individuals.

Page view is dead, long live "time". Not!

I just read trough the very insightful article "Defining Attention on Websites & Blogs" from Joseph Carrabis on iMedia Connection. We both share the same skepticisms about using "time" as the sole metric in the evaluation of "attention". Don't take me wrong, I'm not saying time isn't a useful element in the evaluation of attention, I'm raising a flag to the fact that both Compete.com, and now NetRatings are releasing reports where "time" seems to be the new golden metric, replacing the "page view". When we read "time spent is probably the best single indicator of user engagement" in the NetRatings report, I can't help but wonder what was their mindset when they wrote that.

When we look at the "time per visitor" results of NetRatings, most of the top sites share one characteristic: they facilitate the state of "flow". Flow was described by psychologist Csikszentmihalyi as being "the mental state of operation in which the person is fully immersed in what he or she is doing, characterized by a feeling of energized focus, full involvement, and success in the process of the activity"... and a distorted sense of time...

In the end, it will be up to web analysts and experts to educate their audience about the real value or misleading conclusions that can come out of the "time" metric. And the answer, as usual, is "it depends". But I still strongly feel than any analyst using only a "time" report to explain "attention" or "engagement" should be turned back to their desk and dig for a better story.

The Attention process

In previous posts about the attention economy and web analytics, we've set the table by describing what is, and what is not Attention. Let's now look at the Attention process itself.


The simple process shown above, taken from Davenport's book on Attention Economy, summarize wonderfully what we do, consciously, or not, hundreds of times a day. From simple activities such as finding something to eat to complex decisions such as changing job, they can all be summarized in those simple three steps.

Here, we want to look at "attention" as it relates to web analytics.

Awareness

We can clearly relate to marketing, in all its pride and glory. Be it the more traditional advertising or the use of new social media such as blogs and podcasts, we don't only want to be visible, we want to be notified. Think about the marketers role as it relates to improving the level of awareness.

Attention

We want people to narrow their mind on us. Except they don't spend their precious cognitive energy and limited available time without expecting nothing in return. They do it because they are looking to satisfy "something": being entertained, reading about the latest news, buying music or a car, planning a vacation or their next career move, the possibilities are infinite. As a strategist, we want to understand the visitor goals and, as Jim Novo judiciously say, set tripwires to help them do what they want (or better said, make them do what we want!). Here, those tripwires are really good candidates to become your KPI.

Action

Assuming we actually want to satisfy their need, the ultimate goal is to have them engage with us. That is, we want a positive outcome. As a business manager, this is what we want to measure and understand, so we can take quick decisions to achieve incremental improvements, or go back to the strategy drawing board and think about something else.

Web Analyst's role

As you might have guessed already, the web analysts role is to transform various sources of "data" into valuable "information". Here there's a clear distinction to make between the "information", such as the one presented by web analytics solutions, and the web analyst role to transform it into "knowledge" than can be understood and communicated appropriately. Then we can rely on the wisdom of the marketer, strategist and business managers to take the best possible decisions.
* Image from Bellinger, Castro, Mills.

Attention ≠ Time

In my previous posts about Attention and my recent opinion about Compete.com new attention metric, I challenged the common opinion that "time" and "attention" are synonyms.

M.David Cancel, CTO of Compete.com, was kind enough to leave a comment stating that "Attention measure is calculated using both "time" and "traffic" (measured by unique visitors), not simply based on time". Later in the same comment, M.Cancel says "Although unique visitors and page views are critical pieces of the puzzle - these metrics often fail to accurately measure engagement". Again, implying that "time" can be used as a valid measurement of "engagement" is, in my humble opinion, totally wrong.

Michael H. Goldhaber most recent post reinforce my opinion. M.Goldhaber is not just another blogger... he's been writing about the concept of Attention Economy since 1985 and is the author of a paper that became a classic in the field: "The Attention Economy and the Net", published "way back" in 1997.

Here's what he as to say about "time" and "attention":

It is commonly thought that attention can be equated with time. “I will give you fifteen minutes of my time,” often implies that speaker will pay attention for those fifteen minutes. It would be a mistake though, to think that this formulation means that attention is particularly tied with time. All human activities — eating or walking just as much as paying attention— occur in time, and each one has some duration. But the time taken has little to do with the quality or even the intensity of the attention paid.
If you would like to better understand the concept of the Attention Economy, read the book "The Attention Economy" by Thomas H. Davenport or the more recent "Competing on Analytics".

Conclusion: time ≠ engagement ≠ attention

Is "time" a component of "engagement" and "attention"? It certainly is... but we need to find the right equation!

Compete.com twisted "attention" metric

Compete recently introduced a new feature called "Attention", which they simply equate to the time spent on a site versus all other sites on the Web. I've been discussing the concept of attention economy in web analytics for a while and the recent introduction of Compete.com, although interesting, is too narrow.

I'm surprised so many bloggers, especially those involved in web analytics, jumped on the bandwagon and are giving Compete so much "attention"! Let me explain my point of view.

I think there is something fundamentally wrong with the implicit association that "attention = time". Attention is "the cognitive process of selectively concentrating on one aspect of the environment while ignoring other things". Although the time is one factor of attention, research demonstrated there are very different brain level activity going on depending on the cognitive involvement of that activity.

Example

Let's just take one of the many examples: eBay, YouTube, MySpace. In this example, we clearly see MySpace receives a magnitude more "time" (no, I won't say "attention"!) than eBay, and eBay more than YouTube. First impression: I'm surprised... But my point is the type of "attention" is really different when we look at each of those sites. Do they share the same attention characteristics? Even if you spend an hour in each of those activities, do you have the same experience when doing grocery or shopping for a new MP3 player (eBay), looking at TV (YouTube) or visiting friends (MySpace)? I hope not!

Compete 200

The "Compete 200" isn't much better, saying MySpace receives more attention is just plain wrong. Saying we spend more of our free time on MySpace might be right, but I can guaranty you spending an hour on MySpace is really not the same thing as spending an hour checking my finance status at my online bank! Which one is more voluntary or averse? Which one is involves more brain power (front or back of mind), and of course, which one is more attractive...

Credit where credit is due

Compete.com is not all wrong, I'm not saying that! It does offer a new interesting information that was not available before. At least, not presented that way. I just disagree that attention = time.

What do you think? Am I being to picky? Is there some basis to my argument? Do you agree?

The "analytic" in "web analytics"

In my previous posts on the exploration of the Attention Economy in web analytics, I highlighted the use of RFM in marketing as well as some views on the user engagement metric. Let's now take a few minutes to get back to the basic: what is web analytics?

What is web analytics?

Web analytics relies on a variety of qualitative and quantitative metrics to evaluate the effectiveness of a site at answering user goals, according to the business strategy and objectives. The analysis activity brings a broader and more accurate understanding of the user behavior before, during, and after the visit to the site. This understanding of threats and opportunities ultimately leads to recommendations for improvements in various areas: user experience, content quality and effectiveness, process improvement and technical performance.

The atoms of web analytics

While the vast majority of businesses understand and agree on what constitute an "impression", less than half agree on what exactly is a "visit" or worse, a "visitor" (74% according to a Net Genesis Corp, Jim Sterne, 2000 study). A recent thread on the web analytics discussion forum seems to indicate things haven't changed that much in 7 years!

At the beginning of the World (Wide Web) there were only "hits" - the most basic and simple element at the base of the HTTP protocol. A very technical and low-level representation that quickly became too hard and inconvenient to manipulate.

The next definitions are taken verbatim from the Web Analytics Association Standard Committee:
  • Page Views: The number of times a page (an analyst-definable unit of content) was viewed.
  • Visit (or session): A visit is an interaction, by an individual, with a web site consisting of one or more requests for an analyst-definable unit of content (i.e. “page view”). If an individual has not taken another action (typically additional page views) on the site within a specified time period, the visit session will terminate.
  • Visitor: The number of inferred individual people (filtered for spiders and robots), within a designated reporting timeframe, with activity consisting of one or more visits to a
    site. Each individual is counted only once in the unique visitor measure for the
    reporting period.
Since our goal isn't to dig too much into the web analytics practice itself, and for sake of simplicity, we will not delve into the intricacies of Rich Internet Applications measurement or more complex metrics. These simple metrics; page view, visit and visitor, will be sufficient to understand the evolution to "attention" metrics.

What constitutes a transaction?

Another area that seems to confuse everyone is the notion of "transaction". To my surprise, I found out in an important ebusiness project the definition of a transaction is very different depending on who I talked to. The IT people related to a database "transaction" while marketing people used interchangeably the words "conversion" and "transaction", or considered any type of online form that submits some information to be a transaction.

In financial terms, Wikipedia definition says "a financial transaction involves a change in the status of the finances of two or more businesses or individuals."

The monetization of attention

The definition of a financial transaction is critical in the concept of "Attention Economy": money was typically the scarce and sought for resource. In the industrial age, the more you had, the more successful you were.

In the information age, money isn't the scarce resource people are seeking. What we lack, what we have in limited quantity and what we need to spend carefully is our attention. What every company is trying to get from us is our attention. Our whole economical model is slowly shifting from valuing money to valuing the "cognitive process of selectively concentrating on one thing while ignoring other things". Simply put, once you get attention, other "lower" considerations such as money usually come naturally. Think about artists, politicians, managers, and even some bloggers!

We've set the table for the next step: the attention process.

Perspective on web site engagement effectiveness

There are multiple ways to measure the effectiveness of a web site, but few ways to get a holistic perspective but to rely on multiple metrics sources and analysis techniques.

User Experience metrics

One obvious and often used method is to poll the users about their satisfaction level: straight and effective. This qualitative data, however, is often highly suggestive and not standardized.

From their own perspective, web analytics solutions provides valuable quantitative information about the behavior of the users on the site. We get a broader view, from the user origin up to his or her exit point on the site. The challenge, for many companies, is to correlate this information with the off line activities taking place either before or after the user's visit to the site.

Web site engagement brings a newer perspective focused on the site visitor. Eric Peterson, Marshall Sponder and Gary Angel are some of the leaders discussing this analysis method, which encompass the following metrics, as described by Eric Peterson:
  1. Click-Depth Index: Percent of visitor sessions of "n" or more pages
  2. Recency Index: Percent of visitor sessions occurring in the last "small n" weeks
  3. Duration Index: Percent of visitor sessions of "n" or more minutes
  4. Brand Index: Percent of visitor sessions originating directly or originating from search engine searches for a significant term or phrase.
  5. Blog Index: Ratio of blog reading sessions to all sessions
  6. Conversion Index: In this case, session- or order-based conversion.

Infrastructure metrics

Information about the health of the infrastructure provides another angle to help us analyze causation and improve the site. Sadly, lots of organizations still live in a world of great divide between their "business people" and their "IT techies" department. Perceptions and attitude often creates a cleavage between marketing, communication or sales departments and their IT department. On the Web, like in many other situations, the business objectives can only be realized with the support of technology...

Strategic objectives

The last angle, maybe the most important, comes from the business side analysis, the real bottom line: is the site contributing to the core business objectives? Too often, we get generic objectives for the Web site: "I want to increase sales" or "I want to reduce costs"... who doesn't? We need to first understand the business side of the equation, without ever saying a word about the Web. Then, and only then, should we see how (and if!) the web can contribute to those objectives.

Holistic perspective

It's only when you can correlate and explain the relationships between the user experience, the infrastructure, and the business that you really start to get a holistic view of web analytics. That's essentially where "reporting" grow to become "analysis". Reporting is factual and often help to explain anecdotal episodes, while analysis is much more valuable in it's approach from root causation up to strategic recommendation.

Where does Attention fits in?

The previous perspectives covered the user, the technology, and the business. But where do I bring the Attention Economy concepts?

The user is not merely a "unique visitor", he or she is a human being with some needs to satisfy, some goals to accomplish and living emotions. In the concept of Attention Economy, the scarcest resource, and the most valuable element, what we're seeking, is our fair share of Attention. The problem (or interesting thing!) is attention takes different forms:
  • captive or voluntary
  • front or back of mind
  • aversive or attractive
The example below, taken from The Attention Company study on attention types for various media channels, clearly shows the user behavior is different. Knowing this, each media is better positioned to address those differences and try to transform an aversive experience into a more attractive one. Or a captive activity into a more entertaining and voluntary one.


In future posts I will describe how this concept could be applied to better understand a specific web site.

Marketing analysis with RFM

This is the second post in a series on the concept of Attention Economy.

Marketing analysis using RFM (Recency, Frequency, Monetary value) has been used for over 35 years to target the segment of customers most susceptible of answering a marketing stimuli. It is often considered for emarketing segmentation, mostly for email campaigns.

One of the interesting aspect of RFM comes from it's simplicity and ease of application. From historical purchase data, each customer is classified in quintiles (20% slices) by looking at the last purchase date (Recency), the number of purchases (Frequency), and the overall purchase value (Monetary). The Pareto principle applies in most cases: we often find out that 80% of the purchases comes from the 20% of the customers.

The "cube" picture to the right, borrowed from Jim Sterne's classic paper on e-metrics, gives a clear representation of the usefulness of the RFM classification.

However, RFM also has it's limitations. Although past behavior might be an indication of future attitude, "tripwires" should be set carefully to avoid frustrating the user. There's also a risk of over soliciting the same cream of the crop over and over again.

A potential customers typically "converts" when a purchase is completed. However, in the web world and depending on the web site objectives, the "conversion" could be any significant business event. On a ad-based web site, the monetary value could become the click-trough rate and the ad-revenue generated. A support web site could evaluate the value of "cost avoidance" of self-service vs. call-center based interactions, etc.

The next post will provide a perspective on web site engagement effectiveness.

RFMA - Recency, Frequency, Monetary & Attention

In just a couple of years, Web analysis concepts have evolved from counting server hits to page views, visits and visitors. Sophisticated web analytics solutions such as Omniture SiteCatalyst, WebSideStory HBX, Coremetrics and others can establish correlations between user behavior and site characteristics to visually present them in powerful, yet simple to understand reports and dashboards. Yet, we've seen a growing concern that the "page view" might not be enough to measure the sophisticated and various ways information can be disseminated and used without the constraints of time, space and medium. The death of the page view is a hot topic in web analytics, and expert groups are looking into other ways to measure success in the era of Web 2.0, RSS, blogs, mashups, YouTube and unexpected or even undiscovered new ways of using information.

At a macroscopic level, numerous methodologies have been conceived and tested to measure the success (and too often the failure!) of ebusiness and emarketing initiatives. Brought back at an individual-level, that is, at the level of the human being interacting with information trough a media/medium; there is little objective ways of measuring the quality of the interaction. Measuring the value of a relationship has become a necessity. The challenge isn't merely to build a customer-value model, but to use it in a sophisticated and evolving analytical environment.

What if we could use a simple marketing classification method such as RFM (Recency/Frequency/Monetary value) that has been used for over 35 years, and add a degree of Attention to drive the relationship value model? In this context, "Attention" can be defined in several ways, but let's simply consider that "attention is a psychological construct describing detection, selection, discrimination of stimuli, as well as allocating of limited processing resources to competing attentional demands".

In the coming weeks, I will explore some analytical concepts, web or otherwise, I first studied four years ago as part of the MBA course "Understanding the digital enterprise", presented by Professor Stéphane Gauvin, from Laval University. I will also demonstrate how the RFM model can be used in web analytics, and add the concept of Attention as presented by Goldhaber and others. But the bulk of the model will be validated with the analysis method elaborated by Davenport & Beck in the book "The Attention Economy".

I can't pretend to be an expert in the field, maybe just a bit more fanatic about web analytics than most people. Considering some very bright people are already at work trying to find ways to measure such things as "engagement", my views might sound too simplistic or theoric at times. I will nevertheless dig the topic for the pure interest of it. In this journey, I will encourage you to share you thoughts and ideas, even if it's to tell me I'm crazy :)