Tad's IT Blog
Posts tagged web analytics
Social Media in the Workplace – How do you measure ROI?
Mar 24th
In quite a few of the companies and government agencies I’ve worked with, nearly all of them say that in their Internet and intranet strategies, they want to “…be doing more Web 2.0” or “…maybe some Twitter or something” or other eager-yet-naive statements of that nature. Unfortunately, due to the fact that social media has finally hit every last major mainstream news channel (“Twitter” was 2009’s most popular word, according to the WSJ), it’s become an urgent priority for agencies & businesses to somehow “get into the Social Media space”. However, and rather unfortunately, most people and agencies don’t even know why they would implement social media features on their Intranet or external-facing sites, never mind how or in what way.
Social media is tough to measure, and is easy to just get “sucked into”, so is there actually a real, tangible business case for using social media on your network?
I wrote a fast blog post on this subject following an excellent talk on the Business Case for Social Media at the SharePoint 2009 Conference in Las Vegas, but wanted to expand on this as it is still-salient topic that continues to confound all too many IT planners and strategists.
Now, as a note, much of the content below should be credited to the profound Daniel Rasmus, Director of Business Insights at Microsoft. His job is to utilize advanced crystal ball technology to give as best an insight as is possible on the future of tech and IT trends. Hats off to thinking people like that – it’s what makes the world go ‘round.
You Can’t Stop Social Media in the Workplace
The first lesson on social media in the workplace is that it is a fruitless exercise to try to stop social media in your enterprise. Myth #1 on enterprise social media is that it’s even possible to firewall-off Facebook, Twitter and the like.
If nothing else, smartphones make such a feat impossible, with Facebook & Twitter clients on nearly every wireless device sold today. So, firewalling off Twitter and Facebook and such is a silly exercise, unless 100% of your workforce resides under a mountain or in a ballistic missile submarine. And I’m almost willing to bet it’s a matter of time before Ohio-class SSBN’s have wi-fi.
So, if you can’t stop it, how do you use it?
Myth #2: Measuring ROI from Social Media is Impossible.
Apparently, per studies that Mr. Rasmus brought to our attention, 84% of people don’t / can’t measure ROI from social computing. Why? They probably don’t know how, as it’s quite a bit different than the traditional ROI calculation.
So how do you measure ROI for Social Computing? 
It’s not just pure numbers you’re going to want to quantify on this. It’s also qualitative enhancements to your organization’s operation which can indeed be qualified & quantified:
- Quality of dialog: There’s a big difference between someone just clicking through onto a product-display page on your website, and someone being able to interact & get their direct questions answered via Twitter. The former is just a page view, the latter is close to being a bonafide micro-conversion, in Avinash Kaushik’s terms.
- Communal information – tap in to corporate knowledge better:Having corporate wikis and searchable, social knowledge means that smart people that “know all the answers” can then be efficiently “tapped” by other individuals throughout the enterprise.
- More rapid peer-to-peer computing: There are many ways that employees can interact and communicate that are faster & more efficient than the de facto, “…just send me an email.”
- Collaborative problem solving: Internal social media platforms enable collaborative problem solving in the team. Compare the clumsiness of email to to the dynamics of using an internal Facebook-like app to post questions like, “…we’re trying to get a blankety-blank done in Lower Slobovia. Does anyone know how to do that without needing to apply for it through the government?” The answer will manifest itself much faster with an internal social media platform.
- Abstract BI questions: There’s a lot of BI that you can’t easily abstract with a chart or a spreadsheet – it’s a question that gets answered by SOMEBODY and that’s social networking to solve that. “Who knows where to find who our top reseller was in the late ‘90’s? I need it for…” — data like that might take days of research & data mining, or 10 minutes if posted to an internal social media app.
- Decreased time-to-value for new employees: Retail shops commonly talk about “time to value” for new employees – meaning how long it takes before a new hire is trained up to the point where they are actually making more money for the company than it’s costing to have them on the payroll. Social media (wikis, accurate & complete internal tagging & search tools, etc) make it faster for someone to get up to speed, and less expensive to train them.
Myth #3: Twitter will save the planet
The uninformed will sometimes think that just by opening a Twitter account and putting a big Twitter icon on your homepage, that this will somehow make you “Web 2.0 compliant” and thereby drive millions to your site.
In reality, there’s a proper social media tool for many things, and there’s a ton of applications where social media has no place.
First off, posts in the social media space are usually what Mr. Rasmus referred to as “small atoms”. For example, you don’t usually see someone pop up on Facebook and say, “Dude, here is the 67 page strategic plan for my company, what do you think?” It’s usually more like, “OMG WTF??”
As such, there are a number of differences between social media uses within the Enterprise, and social media uses to interface with your customers, suppliers and business partners.
Mr. Rasmus’s slide illustrates such differences between Enterprise & Personal Social Media:
Myth #4: We May Not be Ready for the Investment in Social Media:
There are biiig differences between what it takes to dive into the external world of social media, and what it takes to retool an internal enterprise IT ecosystem to deal with social media.
If you decide to make yourself a presence on Facebook, you don’t have an infrastructure problem in “migrating data from MySpace to Facebook”. You just do it. However, migrating from legacy systems is a big deal in the enterprise. Enterprise systems are generally very document-centric, so one then does have much more of a hump to cross to implement in the business space.
The bigger hump to traverse in the enterprise, generally, is a need to manage how social media is regarded in the corporate culture. The two biggies are, (a) a fear that if in corporate knowledge management, if you share all the goodies you know, then you are “not doing your job” as you’re ‘not working’, or (b) an aversion to sharing your hard-won knowledge, as then you “won’t be necessary anymore”.
Both are factors that in your business, you’ll need to traverse in one fashion or another. The solution to this generally boils down to smart enterprise policy on social media, and validating & rewarding those people that make the job easier for the rest of us by sharing their knowledge & expertise.
The Bottom line:
Be strategic about implementing social media. Don’t just do silly & random experiments, work out a strategy and do it. It may not work the first time, but as the overhead for implementation is relatively small, just work out a sensible first project and do it.
The risk for not doing so? If you don’t build it, they will go someplace else.
Important for SEO: Digg, Flickr & “nofollow” links
Mar 24th
In looking for some good “startup” references to give to a client who wants to be able to do their own SEO, I found a number of them that were listing out good social media services that could be used for link-building. A number of these posts (dated 2009) listed Flickr and Digg both as services which are excellent for posting content and links, and thereby getting some additional search engine juice.
However, in September of 2009, Digg implemented a policy on nofollow links, making all but the most popular items carry a “rel=nofollow” tag in the link, making Google essentially disregard the link, in terms of page rank calculations.
There have been a number of other services which, in 2006, were part of your average SEO staple to quickly and easily generate some back-links for your news or video content. Now, they’re non-entities, with the services switching to nofollow links to discourage link spamming.
Such services that now are void in terms of SEO benefit are:
- Digg: uses nofollow links on all but the most popular stories
- Flickr: HTML in descriptions now automatically inserts “rel=nofollow” into any links.
- WordPress: comments in WordPress.com blogs now automatically insert rel=”external nofollow” into any links, including the link for the website you identify your WordPress user with.
- Faves.us (formerly BlueDot): now all links are rel=nofollow
- Simpy: all links are now rel=nofollow
The good news is, that this allows these services to be used more for what the creators intended them for, instead of an SEO link-spam playground. The bad news is that, for SEO’s and people looking to get continuing benefit from links posted to such services, one has to work a bit harder to find services and sites which will carry links to yours.
Gotchas of Foreign-Language SEO
May 13th
A passion of my life for some time has been in figuring out the details of foreign-language and foreign-character-set SEO. How do you do Search Engine Optimization for foreign character sets – and specifically SEO on languages that do not use traditional roman characters, but instead use Cyrillic, Kanji, Mandarin or Greek characters?
SEO is getting to be more and more a normal thing to do, and less and less of a hidden black art. Google has made it plain enough times that what they want is good, fresh, updated, relevant content, and not a bunch of garbage.
Pursuant to that, you’ve got a ton of fairly-well-documented best-practices for SEO’ing your site. And, if you don’t know the first thing about SEO at all — well — read a good book on the subect. My favourites are:
Or you can just hit SEOMoz or SEOBook for some hot tips.
But one unfortunate thing is that most of the best SEO data is coming people who are ignorant Americans like me. Despite my love of geography and far-off places, I can speak no foreign languages fluently, except for some Korean bad words I learned from fellow soccer players.
What does that have to do with anything?
Take the preceding picture I just linked to where I’m doing a soccer throw-in.
Assuming you could edit that page, if you ask any search engine novice to optimize that page to show up well for its subject matter, they’d probably tell you to hit the easy things first. They’d tell you to optimize:
- HTML <title> tag
- <meta description=> tag
- <meta keywords=> tag
- <H1> text
- Body text
- text of inbound links
- filename of the page
Ideally your page would have “Soccer Throw-In” or a more unique title and <h1> text, and would have a description and set of meta keywords that followed along. Ideally, as well, you’d have a filename like “/soccer-throw-in.html” or similar.
Easy, right? Of course it is — in English.
But, let’s say you have similar items in German, or worse, Japanese, Greek and Russian!
As an example, the Japanese word for “soccer” is “サッカー“. What do you make as the page title for that? The filename?
If you do a google.jp search for “サッカー“, one of the first results you get is a Wikipedia article for “サッカー” which has a displayed URL of:
Now, of course, anyone with any technical sense will tell you that you can’t put non 7-bit ASCII URLs into an HTTP request, as that violates the spec.
But of course, pasting such a URL into your browser automatically decodes it to:
http://ja.wikipedia.org/wiki/%E3%82%B5%E3%83%83%E3%82%AB%E3%83%BC
So, it has the benefit of (a) showing up with the proper Japanese term in the search engine result page, improving the apparent relevance of the result, and (b) well showing up at all in the top 10 listings at all — so you’d think it has SOME positive impact in ranking.
European terms are much easier, as there are common transliterations for many of the non-7-bit-ASCII characters that one would use in normal usage.
For example, Google for the beautiful German city of Düsseldorf. Clearly, one wouldn’t want to have to title all one’s pages as “Dusseldorf” as that would mean “village of idiots” as opposed to Düsseldorf which refers to the small tributary of the River Rhine. The u umlaut is easily transliterated to “ue” generally, so by Googling for “Duesseldorf” you get an acceptable result – as Google knows what you’re talking about.
Not so easy with these other languages like Greek, Hebrew, Hindi, etc.
I’m very interested for any input or feedback on this, as it’s a massive gray area right now — and I don’t know if ANYONE has this one covered well.
Is Log Analysis for Web Analytics a Dead Subject?
May 9th
I’ve been involved in web analytics in one capacity or another for about 11 years. Back in 1998, when I was first getting started on this when working for Webtrends, there were only two ways to go about getting stats from your website: either get a program to crunch the logs for your site (of which there were many), or pay some ridiculous sum for a tool like Aria or NetGenesis or HitList which used packet-sniffers placed in front of your web server, to track various interactions with your site.
In either case, the entire subject of web analytics assumed that ever interaction that your users were doing with your site was going to result in another page request back to the server, which you could then track via a log file.
Wow, how times have changed. Try going to a site like the main video channel for the Church of Scientology, or this one for the Volunteer Ministers. You can complete an hour-long stay at either website, and still have only looked at one HTML page. Doesn’t make log-based analytics too entertaining, especially when your videos are hosted off-site.
In late 2004, I did a project for for a company in Atlanta, testing out literally about 30 different web analytics solutions to work out the best one for them. At that point in time, out all the different packages that I reviewed, there was a pretty even split between the number of web analytics companies that were making a go at it with a shrink-wrap, software-based solution that would be hosted at the client side, and the other half were ASP’s.
Many organizations that I was working with were not all too interested in turning to an ASP-based setup for various security reasons, as well as the fact that ASP’s aren’t too great at doing analytics for intranet sites, when the client can’t access the external internet.
At that point in time, the landscape looked something like this:
| Analytics Product | ASP or Software | Analysis Type |
| Webtrends | Either | Log Analysis or Page-tagging |
| Datanautics G2 | Software | Log Analysis & Packet Sniffer |
| DeepMetrix LiveStats xSP | Software | Log Analysis |
| Pilot HitList | Software | Log Analysis & Packet Sniffer |
| Sane NetTracker | Software | Log Analysis or Page-tagging |
| Sawmill | Software | Log Analysis |
| SPSS NetGenesis | Software | Log Analysis, Page-tagging and Packet Sniffer |
| Urchin | Software or ASP | Log analysis or Page-tagging |
| Eloqua | ASP | Page-tagging |
| Elytics EAS | ASP | Page-tagging |
| Manticore Virtual Touchstone | ASP | Page-tagging |
| Omniture SiteCatalyst | ASP | Page-tagging, but they’d import your old logs for a fee |
| SageMetrics SageAnalyst | ASP | log analysis and page-tagging |
| WebSideStory HBX | ASP | Page-tagging, but they’d import your old logs for a fee |
As you can see, it was about half-and-half, with most products still clinging to log analysis, but many more progressive (and sometimes completely frightening) products going to page-tagging exclusively to be able to trap and coordinate interactions with your sites.
But now, boy has the landscape changed. After Google bought Urchin and transformed it into a free product, countless companies have now successfully experimented with Google Analytics and found it (and with it, the whole premise of tagging pages) to be a reliable and insightful way of tracking interactions with pages.
Also, the fact of its being free has forced a lot of companies to either (a) drop the web analytics business alltogether, or (b) dramatically change their model so as to differentiate themselves from Google Analytics and move themselves way upmarket.
Check out how this grid looks now, 5 years later:
| Analytics Product | Still around? If so, what type of product | Analysis Type |
| Webtrends | ASP or Software | Log Analysis or Page-tagging |
| Datanautics G2 | Product is discontinued | |
| DeepMetrix LiveStats xSP | Bought by Microsoft, and then deep-sixed | |
| Pilot HitList | Product bought by SAP and then deep-sixed | |
| Sane NetTracker | Acquired by Unica, now merged in with their Net Insight software product. | Log Analysis or Page-tagging |
| Sawmill | Still Software | Log Analysis |
| SPSS NetGenesis | Toasted by SPSS? Product page is now a 404 | |
| Urchin | Bought by Google, is now Google Analytics | Page Tagging |
| Eloqua | ASP | Page-tagging |
| Elytics EAS | Dead like a doornail | |
| Manticore Virtual Touchstone | ASP | Page-tagging |
| Omniture SiteCatalyst | ASP | Page-tagging, but they’d import your old logs for a fee |
| SageMetrics SageAnalyst | ASP | log analysis and page-tagging |
| WebSideStory HBX | Bought by Omniture, old HBX product is toast |
In any case, it’s a subject for another blog post as to what companies have to do to differentiate themselves from Google Analytics in order to make it worth the cash for users to upgrade from a free product.
The main case here, though, is if log analysis has any value or relevance still in the market? What do you get from a log analysis tool these days that you can’t get from a pixel tracker?









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