Six Steps to Elevating Web Analytics in Your Organization September 3, 2008
Posted by debbiepascoe in accessibility, privacy, quality, search engine optimization, usability, web analytics, web design, web standards.Tags: accessibility, KPI, search engine optimization, web analytics, web optimization, web standards
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A website exists to further the organizational objectives of its owners. Those objectives are directly related to the nature and purpose of the organization. For example, the challenges for pure online companes like Amazon.com, Overstock.com, eBay and others are quite different from bricks-and-mortar businesses with online presence, which in turn is completely different from government agencies, universities or non-profit organizations.
Large organizations, particularly those with online/offline operations, have many competing interests and stakeholders. It is imperative for the organization to know whether their website is pointed in the right direction, whether it is structurally sound and able to deliver on its objectives, and whether landing and conversion event pages are being optimized over time. To the extent a site does this, it is in turn contributing to the organization’s larger goals and objectives – their true KPIs – increase leads, increase revenue, decrease cost per customer, improve self-serve rates, decrease complaint rates, increase inventory turn rate, etc.
Visitor measurement enables organizations to determine the effectiveness of their online presence. Online web analytics has received, and continues to receive, significant attention. A whole new discipline and career choice has emerged. Articles and blogs are written about it. It has its own industry association. Events have evolved that are devoted to it. All these things have cemented the term “web analytics” firmly in the online dictionary, and linked it at the hip with “visitor traffic”.
The downside is that online metrics have taken on a life of their own, as if the website is separate from the organization. The development of web-specific KPIs for example, puts the focus on short-term goals, not organization goals. While measuring web analyics data points that contribute to the organization’s overall success metrics is valid, those measurements are only a piece of the puzzle.
Management is bombarded everyday by people who claim to have the one thing to cure all ills. Managers may not understand the web environment well enough to ask for analysis that goes deeper than conversion rate or page views or any of the other basic measurements, and frankly, they shouldn’t be expected to. What they want is the “big picture” information, and what they need are people that understand these dynamics and that can be proactive in putting the web analytics information into the broader perspective.
In the recent “Where in the Organization is the Web Analyst” Survey, when asked “How do you feel about your web analytics activities”, 41% responded that they are frustrated because the organization does not act on the information, and 30% indicated they are overwhelmed with the amount of information they have to deal with. I believe this is a symptom of the internal disconnect between online and offline objectives.
And in the face of chaos lies great opportunity
With that framework, here are six things I believe savvy web analysts can to to raise their profile within their organizations.
- Understand the total business. Are you in an organization where inventory is important? Are you in an organization where supplying information or support after the sale is vital? Are you in an industry where the website drives leads for sales that occur offline? Are you a non-profit whose goal is to educate people and secure donations? Are you in a government agency, providing information and services to citizens? Are you in the news business, where despite falling subscription rates, lots of people still get their news from the daily paper? Even if you are in a business that “grew up” on the web, offline activities such as fulfillment, customer service and returns come into play.
- Understand how your organization measures itself against its strategic goals. If you don’t know what the overall organization goals are, ask. If you don’t get an answer, keep asking.
- Identify the “goal gaps”. Think about how the website contributes to – or gets in the way of – those goals, and identify how the information you see every day sheds light on where the two are aligned and where they are in conflict with each other.
- Apply the 80/20 rule. With enormous volumes of data, it can be difficult to know what to focus on – another issue pointed out in the Survey results. As you gain more clarity around the organization’s goals, and how the strategy for the website supports them, focus on the 20% of the visitor data that supports overall organization goals, and disregard the rest.
- Frame your conversations with management in the broader context. Even if you don’t get it exactly right, at a minimum, you’ll make your boss aware that you are interested in the success of the business as a whole and you’ll create an opportunity to expand the conversation.
- Widen your circle. Seek out and network with the people in your organization that are responsible for web standards, search optimization, search marketing, overall site quality, responding to customer comments about the site, responding to customer inquiries that come in through the site. Encourage them to share their insights with you and share yours with them.
Web analysts that can get outside the box, look at the nature of the organization they are part of, think about why it is there and what its goals are, how the website fits into the picture and what other moving parts impact decisions, and present their data in that context will elevate web analytics – and themselves – in the organization. Those that focus on short term goals based on web-specific KPIs risk being sidelined.
Do you agree? Disgree? Let me know your thoughts.
What's Missing from Search Engine Marketing August 27, 2008
Posted by debbiepascoe in accessibility, high performance site analytics, privacy, quality, search engine optimization, usability, web analytics, web design, web standards.Tags: SEM, SEO, web analytics
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First Michael Wexler holds up the mirror and asks “What Web Analytics is Missing”. Now Gerry Bavaro ponders the same thing about search engine marketing. Is there something in the water?
Gerry’s article is behind a password over at MediaPost, so I’ll summarize a few key points:
He starts out sharing feedback from people who attended the recent SES in San Jose.
“…it was really tactical…the widespread feelings primarily from agency folks about the state of our industry’s most popular trade shows reveal that they’re missing something….we’re not an industry that places the consumer at the center. Even worse, our channel (which gleans the most comprehensive, valuable intent data possible), is still a siloed, ancillary function in many organizations. “
OK, stop. I remember somebody else talking about disciplines fragmented (siloed) in organizations and how ineffective and ineffecient it is….oh, yeah, that was me, in February, 2007:
And again in February 2008 – Top Four Characteristics of the Optimal Web Team
And again in June 2008 – Web Optimization Defined
And again in July of 2008 – Continuing the Conversation with Joseph Carrabis
And again in the Response to Michael Wexler’s Post re:What Web Analytics is Missing
The words “broken record” come to mind.
So I wonder if they’ve been reading my blog, or have just finally come to the teachable moment on their own
His next point:
“Where Are The Experts When “Everybody” Is An Expert? …we’ve created a virtually indistinguishable society of search marketers without a highly respected short list of true expert agencies….how to find the true experts…”
An excellent observation, and a question worth pondering. While I don’t eat, sleep and breathe SEM, and SEM and SEO are third cousins, not identical twins, analyzing a site for its “indexability” by search engines is one of the aspects of holistic site structural quality and an important part of SEM. You can’t run an SEM campaign extolling the virtues of nice cab savs and merlots and then attract people to a site selling soy milk. I would love to know how to find the true experts. We could have some interesting conversations.
“Do We Even Care What Clients Actually Think? …I’d love to know whether, as the WPP’s, IPG’s and Publicis’ of the world continue banking on digital and staffing up their search postures, their clients are happy or disappointed.”
What a clear-eyed and relevant question to ask. Congrats, Gerry for being brave enough to voice it.
“Where’s Strategic Vision & Best Practices Beyond Our Sandbox? ….Are discussions about the challenges and rewards of breaking down silos in global businesses and transforming operational processes to effectively manage change, what’s missing?”
Bravo – give that man a prize. None of these disciplines – not web analytics, not search engine marketing, not search engine optimization, not VOC, not A/B testing – none of them can stand alone. And the answer to his question is YES. We (I and my colleagues at Accenture Marketing Sciences) are out in the market every day talking to organizations about this very thing, and people are responding positively.
I do disagree with one concept:
“…the sleeping giants in the SEM industry are technologies that will go far beyond bid management, Web analytics, and post-click landing page optimization systems.”
The technologies are merely the means to an end. Without breaking down the silos, recognizing that Web sites must be treated as an asset, at the same level as land, labor and capital, with deliberate attention to the business strategy and how the Web properties contribute postively to it, and then implementing the governance structures, processes and infrastructure to support that vision, the technologies are nothing more than a shiny toy.
Do you agree or disagree? Isn’t it time to come together and realize that it’s not either/or…it’s and, and, and, and, and…..
Response to Michael Wexler's Post re:What Web Analytics is Missing August 15, 2008
Posted by debbiepascoe in web analytics.Tags: web analytics
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Michael Wexler has just posted an article on his blog – What Web Analytics is Missing – that should be required reading for any one and everyone who is involved with site management and web analytics. Finally somebody has the courage to come out and say that web analytics has warts and lots of them. As I was reading it, I found myself thinking “this is the Bill Cosby of web analytics”.
And I agree with most everything Michael said, except on one point – “Understand My Site”. For years, certain people in the web analytics community – I’m not naming names, you know who you are – have turned a blind eye to the “understand your site” concept. It was as if they really believed that if you study your traffic data long enough and hard enough, all will be revealed, and that the underlying site structural elements were irrelevant in the big scheme of things.
Michael is spot on with the notion that understanding the site is an essential part of a broader picture. The mere fact that understanding the site is in his post is a tacit recognition of how important it is, if people want to have any hope of making sense of their web analytics data.
However, it is not a path the web analytics companies should go down, unless they want to commit vendor suicide.
Site structures are increasingly complex, growing larger and more dynamic every day. Understanding site structures is a much more complex undertaking than implementing web analytics. WA vendors that think they can knock up some site structure code and add it to their tool set in a couple of months will be sadly mistaken. While they become increasing distracted from their core business and invest increasingly more development resources and dollars trying to solve ever more complex site structure issues, their competitors will be picking off their customers one by one.
I agree that WA vendors should focus on addressing all the warts inherent in their core business - if Michael’s assessment is correct, that should keep them busy for quite a while. They should leave site structural analysis to the people that have it as their core. And they should seek out those people and find ways to partner so that the companies buying their services reap the benefits. The smart money is on the vendors that have already figured that out.
Only somebody from inside the web analytics community could hold up a mirror the way Michael has – let’s hope people are listening.
It's back! "Where in the Organization is the Web Analyst?" Survey July 15, 2008
Posted by debbiepascoe in web analytics.Tags: agency, coremetrics, Omniture, web analytics, WebTrends
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Many of you participated in the survey in December. Your participation was most appreciated and provoked more questions and a spin-off survey, “What in the World Does the Web Analyst Do?”. See the Survey Results page for those results.
If you just took it, and arrived here from there, thank you for participating. I’m already seeing results.
This time the questions have been combined and a couple of new questions have been added, along with a few other refinements….
http://www.surveymonkey.com/s.aspx?sm=ZMHnEO9H1kveqXYSYkcgig_3d_3d
The survey will be open for 7 days and is anonymous. Just like last time, it will only take a tiny bit of your day – 2-3 minutes. Just like last time, a summary of the results and a link to the full report will be posted here on the forum. If you take the survey and think of some glaring omission – a burning question you wish had been included, please tell me! Post your comments here.
Thanks in advance for your input and for being part of the “finger on the pulse”.
Web Optimization Defined June 18, 2008
Posted by debbiepascoe in high performance site analytics, metrics and measurement, quality, search, search engine optimization, usability, web analytics, web design, web standards.Tags: page rank, SEM, SEO, transformation, web analytics, web optimization, web standards
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I have noticed that variations on the term “web optimization” are increasingly bringing traffic to the blog – “what is web optimization’, “how to do web optimization”, for example. In checking my stats, these variations were by far the top terms in the past 90 days. This just tells me it’s time to describe this in fuller detail.
Web optimization is much bigger than increasing your Google page rank, increasing your page views, having a sexier design, identifying web analytics KPIs or any of the other facets of the prism you can name. While each of those activities is important, and we are happy that there are people who focus on them intently enough to become subject matter experts, none of them can stand alone. None has the magic pixie dust that will, if sprinkled correctly, yield the optimal web experience for users and beaucoup dollars for the site owners.
The evolution of these different disciplines, while important and necessary, has had some unfortunate side effects. The surveys I conducted in Dec/January reflect an example of these side effects. Web analytics practitioners are often isolated in their organizations. They have significant challenges in getting people to listen and take action. The person they report to is frequently not at a high enough level to effect changes across the site.
Web optimization is the “big tent” that not only welcomes, but actually needs all disciplines. To optimize, site owners must utilize complementary solutions that enable them to bring together data from different sources so they can make informed decisions.
We are out in the market every day, talking to companies about their web properties. What we know is that companies are tired of being confused, and are looking for a way forward. And that way combines these elements:
- Strategic alignment – ensure that the site strategy is aligned with business goals
- Structural integrity – ensure the site is structurally sound and is delivering a good visitor experience and that the key areas are being continually optimized.
- Governance – implementation of solutions, methods and practices that facilitate continuous improvement and monitoring of digital assets all across the organization, for quality and compliance metrics, search optimization, web analytics measurements, survey results, advertising campaign effectiveness.
You can not optimize in a sub-optimal environment. The fragmentation has to stop. It is costly and inefficient. Companies are spending huge amounts of money, hiring agencies, buying solutions, and training employees to create, manage, market and monitor web sites, and this fragmentation muddies the waters and keeps companies from truly understanding whether their activities yield – or are even capable of yielding – the results they want for themselves and their visitors.
This message is resonating loud and clear with the people we talk to. It clears away the “magic pixie dust” cacaphony that surrounds and bombards their senses every day. It’s water in the desert, light in the dark, it’s……well, i’ve run out of pithy metaphors, but you get the picture
Do you agree or disagree? What are your observations?
The art and science of website structures May 29, 2008
Posted by debbiepascoe in accessibility, privacy, quality, search engine optimization, usability, web analytics, web design.Tags: search optimization, sitemaps, spatial database, web analytics, web design, webmap, website structures
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The first time I laid eyes on the Maxamine software was in 1998 – the company was a year old at the time. Although a lot has happened and the software has gotten increasingly more sophisticated and powerful over time, the basics were already there, and I was immediately hooked.
The comprehensive data collection made possible by the incredibly thorough spider, combined with the storage of the data in a spatial data architecture was so powerful and elegant, and the maps were fascinating to look at and manipulate. Just think of it – if you could round up every detail there is to know about a thing – in this case a website – the only thing left to do is figure out what question you want to ask. When a regular person, with no technical expertise, can ask that question and get an answer back in a matter of seconds, it puts the power in the hands of the site owners and operators, to react at a moment’s notice to whatever is thrown at them and their websites – by visitors, regulators, competitors, even their own organizations.
This image is a shot of the way I see websites – not as pretty pages in a browser window; rather as an interlinked combination of words, images, scripts, stylesheets, pages in a three-dimensional space. The maps are always fascinating and beautiful, and the best part of all is that this seemingly complex picture holds the key to fast, flexible analysis: it preserves the relationships of all the objects to each other, and makes it possible for me to know every intimate detail about this site.
So what do you want to know? Are your web analytics implemented correctly and are the tags functioning? How easy have you made it for Google to index your site? Does your site speak the same language as the people searching for you? Are the pages you’ve linked to outside your site the same as they were when you linked to them? Are they still there? Does your site comply with privacy legislation? With Accessibility legislation? Are you drawing people in or driving them away? Exactly where in the site are all the references to the product you just discontinued, the prices you just changed, the subsidiary you just rebranded, the logo you just relaunched?
Over the years, we have examined thousands of sites. Themes emerge; relationships are identified; complexity visualized; problems are uncovered; all is revealed.
When you can understand your structure and the problems lurking inside it, then you have a framework for understanding how visitors find you, what kind of experience they are having, if it’s bad, what’s causing it, what is keeping them from taking the action you want them to take. You have a framework to determine whether the site is structured correctly and structurally sound enough to deliver on the business objectives you have set for it. You have a way to know what needs to be optimized over time and how those efforts impact the larger picture. And a way to put web analytics data and search optimization, marketing and branding efforts into perspective.
Every site is a new picture, and every picture tells a story, don’t it
Conversion Rates Revisited – The One Percent Solution April 30, 2008
Posted by debbiepascoe in accessibility, high performance site analytics, privacy, quality, search engine optimization, usability, web analytics, web design, web standards.Tags: accessibility, cart abandonment, conversion, engagement, optimization, pivacy, quality, search, traffic, usability, web analytics
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Download the Conversion Rate Calculator
In my last post, I noted that Coremetrics has begun releasing benchmark data collected from their ~300 clients. A couple of the stats really caught my attention:
- The typical conversion rate is 3.29%
- Conversions Where Site Search Was Used – 14.84% of consumers used site search during their visits – conversion rate 5.60%
- The shopping cart abandonment rate is 68.42%.
Wow….think about it….
- out of 100 people, only 3 of them actually complete the desired action. AND
- out of 100 people that begin a shopping cart, only 32-33 of them complete the transaction and buy something (through the website – we don’t know if they walked in the store later and concluded the sale there); AND
- of the people that use internal search, they convert at a much higher rate than the ones that do not.
While some of my esteemed colleagues have decided that it’s not about conversions, it’s really about engagement (I’m not naming names, you know who you are
), it really is about conversions. That’s the bottom line. For every small improvement a site owner makes to improve their conversion rate or reduce their abandonment rate, they get repaid many times over. The philosophical diversion into “engagement” is really code for “we know people are leaving the site and completing the sale offline, we just don’t have a way to tie all the data together”. When that day comes, conversion will come back into vogue in a huge way.
Take this rate that Coremetrics has given us as a benchmark. If this conversion rate of 3.29% can be improved by one percent, sales would increase by 30%. That translates to real money. Similarly, 68 of 100 people walking out of your virtual store when they have things in their basket that they abandon in the last aisle represents real money that didn’t make it into the till. Everything that can be done to chip away at that represents real money.
So, how do you identify those improvements? Strip it back to its basic elements; look at what you’ve created – how usable is it, how findable is it, how free of defects, does it respect the visitor’s privacy, is it accessible to all potential customers? Are the key pages that lead people to the conversion event optimized? Do they have the right stuff in the right places with the right call to action to propel people forward and keep them moving forward to completion? You’ll notice these questions don’t have anything to do with studying how people have reacted to your site; rather they have everything to do with understanding deeply what you’ve given people to interact with. Traffic is a measure after the fact – it’s forensics. Evaluating traffic is great for understanding what people did; it is not a predictor of what they would do if things were different.
To help you visualize the impact that small improvements in conversion rates and abandonment rates can have, I’ve created a “conversion rate calculator”. I am not an accountant or finance expert. This is not complex econometric modeling. This is just a simple way for you to plug in some numbers that are meaningful to you to see that the impact over time is real and measurable. Have fun, dream big, and see what it might mean
Here’s the link to the Coremetrics Benchmark page.
Big Week for Web Analytics News April 14, 2008
Posted by debbiepascoe in search engine optimization, web analytics, web design.Tags: abandonment rate, benchmarks, conversion rates, coremetrics, indextools, search, web analytics, yahoo
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Two big announcements in the past few days:
Coremetrics
Coremetrics just secured $60MM in new funding, then followed that up with an announcement that they will begin releasing benchmark data collected from their ~300 clients. Their announcement follows Google’s announcement about releasing benchmark data. Some interesting stats from Coremetrics:
- 22.41% of visitors left retail sites after viewing one page
- 51.65% got as far as a product page
- Conversions from Direct Load Traffic – 47.89% of traffic and 67.35% of sales came from visitors who typed in the retailer’s URL or clicked on a bookmark. The typical conversion rate was 3.29%
- Conversions Where Site Search Was Used – 14.84% of consumers used site search during their visits – conversion rate 5.60%
- The shopping cart abandonment rate was 68.42%.
Here’s the link to the Coremetrics Benchmark page.
Yahoo! and IndexTools
Second Yahoo! announced its purchase of IndexTools – start at Bob Page’s blog post to get the industry take on what this means. Plenty of pundits have weighed in on what this means, and most of them are linked from Bob’s post. The one post worth listing here is Eric Enge’s 10 Cool Things you can Do with IndexTools. If you’re not familiar with them, this post gives some info about the solution and its reporting capabilities.
Eric Peterson suggests that “this (acquisition) is potentially the permanent game changer”. So here we are – three giants – MSN, Yahoo! and Google:
- each providing search results,
- each selling ads,
- each with mass volumes of email account holders and other member-specific areas,
- all of which result in vast volumes of data about what people do online.
Before this acquision, two of the three had web analytics capabilities, and now they all have it.
On a related note, last week I ran across a blog that Avinash wrote over a year ago – Five Ecosystem Challenges for Web Practitioners – still as relevant today as when it was written. In it he talks about the fact that web analytics is not a silo – web visitor data is tightly related to the “upstream” (tv, magazine, newspaper, radio ads), and the “downstream” (phone sales, retail outlets, other sites).
We’re all watching to see what’s going to happen to the large pure-play companies – WebTrends, Omnture, Coremetrics – each with its own expansion strategy, and the multitude of smaller players and even new entrants into the space.
UPDATE – 4/15: Dennis Mortensen posted to his blog today that Yahoo! is making IndexTools free to all existing partners and client if they accept Yahoo!’s Standard Agreement.
Defining the Five Aspects of Web Analytics March 12, 2008
Posted by debbiepascoe in web analytics, web standards.Tags: compliance, data integration, data storage, implementation, web analytics
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The analysis of site traffic has become quite complicated. Even Eric Peterson has come right out and said “web analytics is hard“. On that we agree.
A really interesting conversation, begun by Ian Thomas from Microsoft, predicts that in five years, there will be no Web Analytics vendors, but Web Analytics will be everywhere.
Regardless of who’s driving the activities five years from now, the same five basic things will have to occur:
- Initial implementation
- Ongoing maintenance
- Analysis and interpretation
- Data storage
- Data integration
Within this framework are the data quality, site quality, and compliance issues and the need for a scientific approach to ensuring the data quality, both discussed in previous posts.
Aspect One: Initial implementation
Even if the initial implementation is flawless, the challenge then is to keep it that way. Implementation:
- Requires a commitment on the part of the site owner – page tagging is a contact sport
- Requires guidance by the vendor or by third-party consultants that know the selected vendor’s product
Aspect Two: Ongoing maintenance
Site owners struggle mightily with this. Sites are becoming larger, more complex, more volatile, with more user contributors. Errors creep into the tag implementation, site quality issues infect the data, and compliance issues impact the way visitors interact with the site. Ongoing maintenance:
- Is the ultimate responsibility of the site owner
- Requires support by vendor or third-party consultants that know the vendor’s product
- Requires special product knowledge and expertise to diagnose and correct issues
- Requires continuous automated validation of implementation and diagnosis of issues
Aspect Three: Analysis and Interpretation
The analysis and interpretation of web analytics data is the source of much consternation, worry, hair-pulling, obsessing, and frustration. If you don’t believe it, drop in on the web analytics forum, and see the types of things practitioners struggle with every day. A lot is being written and pontificated now about the future of web analytics. No matter what happens, without analysis and interpretation, all the rest is simply an expensive, time-consuming and resource intensive data collection exercise. And without accurate data to analyze and interpret, practitioners are challenged even further. As the discipline matures, data validation processes are put in place, and companies’ internal organizations mature, those people that are skilled at interpretation will be an even hotter commodity than they are today. Interpretation:
- Requires an understanding of the business drivers of the site owners – analysis must align to goals
- Requires special knowledge and expertise, and has given rise to a new profession choice
- Currently part art and part science, it carries with it the challenge of moving internal stakeholders past “page views” as the measure of success
- Needs standards – standards development is still in early stages – Web Analytics Association has a committee devoted to it
- Is dependent on data quality. Defects in data quality negatively data impact interpretation
Aspect Four: Data storage
Somebody has to do it.
- Off-site, on vendor-supplied machines – it is part of their cost basis. Being in the web analytics business means being in the infrastructure management business, lots of machines, lots of bandwidth, highly secure environment, guaranteed uptimes, power backups, etc
OR - On-site on site owner-supplied or controlled machines
Aspect Five: Data integration
Web Analytics vendors are now acquiring other companies and building out partner networks that enable them to combine data from other sources. This is a natural next step, to get a combined view of the things that drive people to sites and the actions they take once they arrive. Sources of data for integration include:
- Web Analytics
- Live Onsite Chat Session
- Onsite surveys
- Ad banner-generated traffic
- Keyword buy-generated traffic
- Email campaign-generated traffic
- Call centers
- POS devices
Conclusion
The adoption of outsourced web analytics is not a decision to be made lightly. It involves a lot of moving parts in a shifting landscape. In some ways, web analytics as matured – “it’s in the august of its years” says Ian. As for data integration, it is still early days. That said, things move really fast in this space, and there is tremendous interest in and motivation to solve it. These five aspects will be as much a part of the picture in five years as they are today.
Top Four Characteristics of the Optimal Web Team February 13, 2008
Posted by debbiepascoe in accessibility, content management, high performance site analytics, quality, search engine optimization, usability, web analytics, web design, web standards.Tags: accessibility, optimal web team, optimization, search, SEM, SEO, web analytics
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It doesn’t take too much reading and talking to people to recognize just how fragmented the various web management related disciplines are within organizations. This was recently reinforced by the results of the two surveys I did – Where in the Organization is the Web Analyst and What in the Organization does the Web Analyst Do. I also ran across a survey over the weekend that was done by the Internet Strategy Forum(PDF doc) that mirrored my findings in a lot of ways.
This is not a criticism – in fact quite the contrary. Even though the web has been around for what seems like a long time now – can you remember how you did certain things before the web, like locate addresses on a map, look up a phone number or make travel reservations – the “web” organizational structure has not yet reached equilibrium. It is still evolving, the moving pieces are still being identified, and people are working to get their heads around how those pieces fit together. With that as the backdrop, here is my list of the top four characteristics that the Optimal Web Team will have.
1. The Optimal Web Team will be multi-disciplinary. Currently, web analysts are gaining in numbers and growing as a discipline. SEO/SEM people may be in the same work group, but there are equal odds that they are in a different work group. Content contributors are scattered through the organization, and the people managing the content management system, if there is one, are in another organization altogether. The Optimal Web Team will be a multi-disciplinary team, where people with specific expertise will work closely and regularly to make decisions based on a 360 degree view of the complexities that impact data quality, site quality and compliance issues.
2. The Optimal Web Team will report to a senior level executive. Organizations have come a long way from “the web as IT…thing” to “the web as mission critical”. Increasingly processes are performed by employees, vendors, investors, customers, and prospects via web-enabled pages and forms. Even so, organizations have not yet fully recognized their web investment as equal to land, labor and capital. It is that important, and the management of it must be at a level in the organization that reflects that importance.
3. The Optimal Web Team will have a bigger seat and a louder voice. The current state of fragmentation results in people reporting into lower levels of the organization and despite investments in tools and training, the expertise that these people are developing is often not heard at a level within the organization that can effect changes as a result.
4. The Optimal Web Team will manage what it doesn’t directly control. Organizations everywhere are employing web analysts and people with SEO/SEM expertise. At the same time, other disciplines such as voice-of-the-customer (VOC) surveys, A/B and multi-variate testing are frequently best done by organizations that do it for a living. Content management will continue to loom large and touch many parts of the organization as the number of contributors continues to grow.
The Optimal Web Team will consist of people with specific expertise sharing knowledge across disciplinary lines, leveraging existing market expertise when it makes sense and coordinating requirements like content contribution and defect correction that are, of necessity, dispersed throughout the organization.



