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Customer service done right in Twitter, #wa style

Like many people, over the past few months I have become quite the Twitter-wonk. I find myself spending an increasing amount of time monitoring the #wa channel in Twitter, even if my individual contribution has a tendency to ebb and flow. And while I watch the Twits ramble on, one thing I have developed is an appreciation for the work that Ben Gaines is doing on behalf of Omniture.

Who is Ben Gaines? Ben is the guy who monitors all of Twitter for things like “reported 25 hour latency in omniture conversion reporting. good thing we’re not ecommerce” and “really productive omniture call – happiness is helpful reporting tools!!” More importantly, Ben is the guy who is paid by Omniture to take the time to reach out to anyone and everyone who has a problem in an attempt to engage them in a positive conversation.

Yep, Ben Gaines is @OmnitureCare.

Given the challenges that every web analytics vendor faces, combined with the naked conversations happening in Twitter, the fact that the management team at Omniture has dedicated an even-keel like Ben it is a testament to the company’s awareness of the marketplace around them. And while other vendors have slowly started to dedicate similar resources, Ben has established himself (at least in my mind) as the standard against which all other analytics vendor’s representatives in Twitter will be judged.

Even though I’m heading to Salt Lake City in a few days and will have the opportunity to meet Ben face-to-face, I reached out to the team at Omniture and asked to interview him for my blog. My questions and Ben’s responses follow.

Q: Tell me a little about yourself … who is “Ben Gaines” and how did you get into web analytics?

A: I never quite know what to say in introducing myself, so I’m going to give you 10 words/phrases to describe me: Husband. Father. Boston expatriate (and, yes, Red Sox fan). Computer geek. Wannabe athlete. Omniture-ite. Web analytics student. MBA candidate. Writer. That’s me in a nutshell, I suppose. And it’s slightly embarrassing how hard it was for me to come up with that list.

Would it be cliché for me to say that I first got into web analytics in seventh grade when I put a hit counter on my first web site? My first serious foray into web analytics was at my last company, where I helped to run what was then Utah’s official travel web site. Analytics wasn’t part of my primary responsibilities, but I remember being fascinated by the technology involved and the business logic that defined how we used the data. When the opportunity to move to Omniture came along, I jumped at the chance.

Q: When did you start at Omniture and how did you get appointed to the role of “Twitter Support Rep?”

A: I started here in April 2006 in our ClientCare support group (then called “Live Support”), and moved into a role as a support engineer, with more of a programming emphasis, about a year later. Both of these positions helped me to become personally invested in our clients’ success, and I have tried applied that sense of responsibility to everything I’ve done at Omniture.

I don’t believe that I have been given the opportunity to represent ClientCare on Twitter because I am singularly capable of doing so; my colleagues are similarly accomplished and insightful. What I believe I do offer is a strong understanding of the “under the hood” aspects of Omniture tools and implementation, a decent amount of experience working with these products as well as with our clients, and a strong desire to be out there helping people get the best value out of their Omniture experience.

Q: Do you do something else at Omniture other than monitor Twitter?

A: I currently help to manage our online documentation efforts (with particular emphasis on our Knowledge Base), and am involved with support issues in certain cases. I also dabble in building internal tools and scripts to help us serve our clients better and/or faster. While I do monitor Twitter very closely, I’ve always got something else going on my other monitor. There is more than enough to keep me busy.

Q: Describe the tools you use to monitor Twitter for Omniture?

A: I’ve tried probably a dozen Twitter apps. My favorite is currently TweetDeck, primarily because it allows me to monitor mentions of Omniture, SiteCatalyst, etc. perpetually in a separate column. That is really the most critical feature of any tool I’d consider using to interact with Twitter for customer service purposes. Most support requests via Twitter aren’t in replies to me directly; they’re found because someone—often someone not even following me—mentioned Omniture in their tweet. That’s when I step in, if I believe I can help in any way.

Q: Tell us a little about how you help customers using Twitter?

A: There are a few ways that I try to help customers using Twitter. One is to disseminate information quickly to a large group of people. During my time at Omniture, I’ve really tried to learn the “ins and outs” of SiteCatalyst and our other products, and I love sharing those hidden gems whenever possible. When there is an issue that everyone needs to know about, or a tip that I learned in a conversation with a colleague that I believe would benefit our users generally, I’ll throw it out there. I’ve gotten really good feedback on that practice.

Another way is as a resource for quick questions—things that may not warrant calling in to our ClientCare team and that I can handle on the spot or with just a minute or two of research—which clients are welcome to throw at me. These are actually my favorite in the context of Twitter because they often allow others to learn and contribute along with whoever is asking the question. What’s really cool about this is seeing other clients jump in and nail the answers to these questions before I do.

We’ve seen that our efforts on Twitter can sometimes even reduce the amount of support calls. Many of these questions/issues are actually fairly straightforward, and can be resolved in one or two tweets.
Finally, of course, I watch for mentions of Omniture or our products that may be support or feature requests and do what I can with them. We’ve gotten some really excellent feature requests via Twitter, and our Product Management team very much appreciates it.

Q: Tell us a little about how you deal with non-customers / complaints about Omniture?

A: I suppose this depends on the nature of the tweet. There are certain complaints (as well as non-customer questions) which are completely legitimate, and I do my best either to address them or to point the individual in the direction of someone who can. We’ve seen that our efforts on Twitter can sometimes even reduce the amount of support calls. I am not sure I can help people who are negative for the sake of negativity in 140 characters.

Q: What is the funniest Tweet you’ve seen/received about the company?

A: The funniest tweet about the company was one that said, “wondering when omniture will be able to provide users with a brain plug-in as part of the suite.” We’re working on it. I think it’s in beta.

Q: Who do you follow in Twitter?

A: The people I follow typically fall into two categories. Of course, I follow our customers. Finding our customers on Twitter can be tricky, so I often have to wait until one of them tweets about Omniture before I can follow them. Then I also follow industry thought leaders—yourself, Avinash, and others—from whom I am learning a ton about web analytics in general.

When someone begins to follow me without having tweeted about Omniture, I usually check his or her profile to see whether or not the person is likely to be a customer or to tweet about web analytics or Internet marketing (SEO, SEM, etc.). If so, I’ll follow. If not, I won’t.

The thing about using Twitter (or other social media) for customer support is that by following dozens or hundreds of people, I end up with a lot of updates regarding what so-and-so is eating for lunch, while I’m there mostly for professional, rather than personal, purposes. Maybe I’m a good candidate to represent ClientCare on Twitter because I don’t mind the personal updates at all. Frequently I find myself getting jealous of what our clients are eating for lunch, though.

Q: How important do you think Twitter is to customer relationship management?

First of all, I think it’s important to note that Twitter is only a part of our overall social media efforts. I will be starting to post on blogs.omniture.com shortly, and we’ve already got a ton of great content out there from 15 different experts. We want to hear from our customers about the issues they are facing and share information that will help them do their jobs better. The most important thing is staying on top of the latest trends in this area; today, a lot of our customers are on Twitter, but in six months it might be some other tool. Whatever it turns out to be, we’ll be there.

Regarding Twitter and customer relationship management, I know it’s been hugely important for us—ClientCare, and really for Omniture as a whole. I love the idea that we can listen to our customers so easily. When there are support issues, we can deal with them quicker than ever before. When there are feature requests, it’s easy to gauge whether there is a groundswell of support for the idea.  When there are complaints, we can deal with them immediately and, in many cases, put customers’ minds at ease.

We’ve received a lot of very positive feedback regarding our efforts on Twitter. I think it’s important for customers to know that we are listening. It empowers them to interact with us in a new and powerful way. And that’s not just rhetoric—we really are listening.

The other way that Twitter is important is that it feeds into the two other main thrusts of ClientCare’s efforts—support and documentation—while those elements also feed into Twitter, allowing us to solve issues and answer questions more completely than ever before. When someone asks a question via Twitter, it often feeds into the Knowledge Base. Conversely, as I am working on our documentation I frequently find information that I believe would be useful to many of our clients, and will post it on Twitter. Support issues feed into the Knowledge Base and Twitter as well; when there are general questions asked of our ClientCare team, those will often find their way into both our documentation and onto Twitter. And tweets often result in support tickets being opened, and subsequently in additions to our documentation, when questions and issues go beyond what I can handle in 140 characters.

Q: What are your measures of success as a Twitter Support Rep?

A: I think I’m still trying to feel out what the correct metrics are. Certainly time to response and time to resolution are KPIs, but that goes without saying in customer support and relationship management. At this point, I suppose my goal is to leave 100% of clients who interact with me feeling more confident in their Omniture abilities. It’s always a success when I’m able to disseminate knowledge and help our customers get better value out of our tools.


Thanks to Ben and his managers for allowing me to conduct this interview. If you know of someone else in the web analytics arena doing excellent work in Twitter I’d love to hear about it.

Measuring success in Twitter: Influence vs. Participation

I was reading a post recently outlining a somewhat incomplete attempt to measure something called “Influence” as a measure of success in Twitter. Being a champion for complicated and easily misunderstood metrics based on cognitive and behavioral psychology I was immediately drawn to the article but walked away unsatisfied … that is, until I found Twinfluence.

Twinfluence is this nifty little Twitter tool that lets you explore a Twitterer’s “influence” based on their reach (size of their network and second-level network), velocity, social capital, and centralization (see the explanation page at Twinfluence for the details behind each.) For example, here are some of the people I follow in Twitter analyzed by Twinfluence rank:

  • Rank #19: Jeremiah Owyang (jowyang) from Forrester Research
  • Rank #660: Bryan Eisenberg (thegrok) from Future Now, Inc.
  • Rank #2,893: Marshall Sponder (webmetricsguru) from Monster.com
  • Rank #3,577: Avinash Kaushik (avinashkaushik) from Google Analytics
  • Rank #6,124: Anil Batra (anilbatra) from ZeroDash1
  • Rank #7,195: Aaron Gray (agray) from WebTrends
  • Rank #7,591: Jim Sterne (jimsterne) from Emetrics
  • Rank #11,209: Omniture (omniture) from, yep, Omniture
  • Rank #11,786: Dennis Mortensen (dennismortensen) from Yahoo! Web Analytics
  • Rank #11,940: Nick Arnett (nick_arnett) a social media blogger

Whee, what fun! I could Twinfluence my friends and folks I follow all night and day if only client work, my family, and copious powdery snow didn’t get in the way. In case you were interested I have a rank of #5,754 based on my nearly 700 followers who are followed by over 375,000 other people and a very resilient social network.

However, after a little while I started thinking that measuring someone’s “influence” in Twitter was the wrong way to think about success in social media in general. Especially since people who have been dubbed “influential” and successful in the blogosphere have a tendency to think about their popularity in somewhat ridiculous ways … say perhaps stating publicly that they’re going to charge to re-tweet content because they want to buy expensive stuff?

Anyway, when I went down this path I immediately thought “Hey, the two things I spend the most time on in Twitter is trying to find great people to follow and trying to share interesting ideas.” To find great people I use Tweetdeck and to a lesser extent MrTweet to find folks who are having a conversation I’m interested in. To share interesting ideas I limit the majority of my updates to the sharing of links on web analytics related topics.

These combined efforts have helped me find and share ideas with hundreds of folks in Twitter interested in web analytics. So I started thinking “So perhaps the true measure of success in Twitter is being as good a listener as you are a source of information!” Being a balanced participant in your efforts, not just a “social media rock star” who spends all their time talking at people, not to them …

Of course this line of thinking let me to Dave Donaldson’s Twitter Follower-Friend Ratio (or the Twitter Ratio for short.) The Twitter Ratio is dead simple: the number of followers you have divided by the number of people you follow — the perfect Twitter key performance indicator! Dave even provides benchmarks against which we can be measured:

  • A ratio of less than 1.0 indicates that you are seeking knowledge (and Twitter Friends), but not getting much Twitter Love in return.
  • A ratio of around 1.0 means you are respected among your peers. Either that or you follow your Mom and she follows you.
  • A ratio of 2.0 or above shows that you are a popular person and people want to hear what you have to say. You might be a thought leader in your community.
  • A ratio 10 or higher indicates that you’re either a Rock Star in your field or you are an elitist and you cannot be bothered by Twitter’s mindless chatter. You like to hear yourself talk. Luckily others like to hear you talk, too. You may be an ass.

(The emphasis on that last sentence is mine … I laughed out loud when I read that!)

I think Dave’s Twitter Ratio of 10 or higher is the same thing as Perry Belcher’s “Twitter Snob” (funny YouTube video if you have 5 minutes.)  Perry comments that if your Twitter ratio is super high you may not be participating in “social media” but rather “solo media” — perfect!  Perry’s point is why are you even in social media if you don’t have time to listen to the conversation?

If I apply the Twitter Ratio to all of the fine folks I analyzed still ranked using their Twinfluence score here is what we get:

  • Jeremiah Owyang earns a score of 2.95 indicating that Jeremiah “may be a popular person” and “people want to hear what [Jeremiah] has to say” plus he “may be a thought leader in [his] community.” Sounds pretty much perfect to me, but I like Jeremiah.
  • Bryan Eisenberg earns a score of 1.04 indicating that Bryan is “respected among [his] peers” (or that he follows his Mom and she follows him, but with 1,951 followers we can assume the former is the best explanation)
  • Marshall Sponder earns a score of 2.30 which is pretty similar to Jeremiah’s score against his 851 followers.
  • Avinash Kaushik earns a score of 105.5 indicating that Avinash is “either a Rock Star in [his] field or an elitist [who] cannot be bothered by Twitter’s mindless chatter” who “likes to hear [himself] talk” but “luckily others like to hear [him] talk too.”
  • Anil Batra earns a score of 1.27 putting Anil in the same category with Bryan above although with only 266 followers his reach is somewhat lower than Bryan.
  • Aaron Gray earns a score of 1.49 pushing Aaron more towards Jeremiah Owyang than Bryan Eisenberg, at least on Dave’s scale.
  • Jim Sterne earns a score of 17.48 which is in the same “Rock Star” range as Avinash (although an order of magnitude less rock-starry  than Google’s own analytics evangelist)
  • Omniture earns a score of 1.26 indicating respect among the company’s 247 followers
  • Dennis Mortensen earns a score of 13.85 showing that Dennis, like Jim and Avniash, is a true web analytics rock star!
  • Nick Arnett earns a score of 0.58 which indicates that Nick is trying but alas, “not getting much Twitter love in return.”

My own score is 3.13 against 697 followers which I’m pretty happy about (especially the part about not “being an ass!”) Incidentally Perry Belcher’s Twitter Ratio is 0.98 … about as balanced as it gets!  If you have 30 seconds you can go to Dave’s site and calculate your own Twitter Ratio.

What do you think?

Is “influence” the best measure of success in social media? Or should we pay closer attention to something like the Twitter Ratio as a measure of our likelihood to actively participate in the larger conversation? It’s not hard to imagine the Twitter Ratio combined with a measure of tenure or update velocity or even something like influence to come up with a system to help us better discover which members of Twitter are providing real and substantial value to the community.

I welcome your thoughts, comments, suggestions, and perhaps more selfishly, recommendations for great and interesting people to follow and tools to help with the discovery process.

#wa: A Twitter channel for web analytics professionals

Jason Egan started a really cool thread over at the Yahoo! group asking about people who Twitter and it got a ton of response. I think W. David Rhee from OX2/LBi is working on a master list but I thought of a more “Web 2.0″ way to self-identify using Twitter channels and Twemes.

The channel “#wa” was more or less open (as are most channels, for now at least) and so if you’re a Twitterer and you’re writing about web analytics, you can help create what might become a useful body of knowledge and help self-identify like minded individuals on Twitter by simply adding “#wa” to your twits.

So I might Twitter: “#wa Boy, people sure are complaining about Omniture being slow today … is it slow for you too?”

You can follow the channel at http://twemes.com/wa or subscribe to the RSS feed http://twemes.com/wa.rss

For me the jury is still out on whether Twittering is actually useful, although I do admit it’s kinda fun (at least when Twitter is not down, which it is from time to time.) Who knows, maybe the #wa channel would become the new Yahoo! group, complete with inappropriate Fred McMurray comments and everything ;-)

Free white paper on measuring multimedia on the Internet

This morning the fine folks at Nedstat in Holland published a white paper that Michiel Berger and I co-wrote titled Measuring Multimedia Content in a Web 2.0 World.  This free white paper explores the emerging direct measurement model for multimedia content by examining several common business cases for deploying video and provides a new set of definitions and key performance indicators (KPIs) designed to help companies effectively track their investment in video based content.

The timing is somewhat ironic because Judah has been writing a fair amount about Video Analytics over in his blog — I guess great minds think alike!

While video measurement has been around for awhile, the new social media certainly increases the complexity associated with determining the efficacy of video from a business perspective.  The folks at Nedstat are committed to helping their customers resolve these issues, and are generously making our white paper available without registration requirements.

You can read the press release about the paper’s availability or download your own copy right away.

Please attend my webinar on Web Analytics 2.0 and the Web Site Optimization Ecosystem

Thanks to Tealeaf I’m excited to be able to present a free webinar on December 11th titled “Who, What, Where, When, and Why: Understanding Visitor Interactions on the Internet.” I’ll be presenting my thoughts on Web Analytics 2.0 and discussing the Web Site Optimization Ecosystem fundamental to helping companies effectively measure and manage visitor and customer experiences in a Web 2.0 world. Plus, everyone who registers will get copy of a whitepaper I recently published sponsored by Tealeaf titled Customer Experience Management and Web Analytics: From KPIs to Customer Transactions.

When: December 11th at 9 AM Pacific / Noon Eastern
Register at: The Tealeaf web site

If you’ve ever wondered about Tealeaf and how their technology is best integrated with your existing web analytics practice I’d encourage you to attend this free seminar.

 
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