Web Analytics Association Boston Symposium

Curious about the Web Analytics Association Boston Symposium that just took place on Monday 5/23? Well look no further for a little fun with Twitter analysis and an overview.

Let’s start with the data …

Overview:

  • 159 unique tweeters used the #WAABos hashtag between 5/22/11 9.24PM and 5/24/11 1.08PM
  • There were a total of 911 tweets to the #WAABos hashtag in this time
  • During the Symposium itself (Monday 5/23 from 1PM through 5.30PM) there were 793 tweets from 125 unique tweeters.
  • This translates to 176 tweets per hour, or 2.9 tweets per minute!
  • 87% of the tweets to the #WAABos hashtag were during the Symposium time (Monday 5/23 from 1PM through 5.30PM)
  • 59% of the tweets to the #WAABos hashtag were Retweets and another 18% of tweets contained mention of another Twitter user. (My, we’re a social bunch!)

Top 10 hashtag contributors:

@OMLee 17% of hashtag tweets
@michelehinojosa 16%
@ashkalei 11%
@RudiShumpert 4%
@kdpaine 3%
@CaseyChesh 3%
@jc1 3%
@Exxx 2%
@KeithBurtis 2%
@johnlovett 2%

Top tweet content:

[Ten points if you can find the word “Pirate” in there.]

Tweet locations:

From @ashkalei:  Map of where #WAABos tweets were coming from: http://bit.ly/mlgyry

Top Take Homes:

Web Intelligence
Suresh Vittal, Forrester

  • Customers are no longer linear, or staying in neat “swim lanes”. We have entered the “splinternet”, where users can connect via multiple devices, and we start bringing that data together for a more comprehensive view of our customers.
  • We need to move from web analytics to all-encompassing web intelligence.
  • Web analytics platforms are perfectly positioned to evolve into web intelligence platforms. Almost 90% of businesses are using or piloting a web analytics platform, and many use more than one. Now, more traditional online channels (search, display, email) are regularly integrated into web analytics solutions, and emerging channels (social, mobile, apps, video) are starting to be integrated.
  • Merging offline, traditional web and emerging channels will give us a  comprehensive view of our customers, and pave the way for web intelligence. (And yes, it’s complicated!)
  • Be guided by a roadmap, and be sure to consider process and the personnel and skills you’ll need, in addition to the technology. Web Analysts alone will not be enough.

Mobile panel

Raj Aggarwal, CEO, Localytics, Justin Cutroni, Director, Cardinal Path, June Dershewitz, Director of Web Analytics and Customer Insight, Apollo Group, Mihael Mikek, CEO, Celtra

  • Mobile is currently fragmented – apps, different operating systems, web. In a year or two, we won’t even be talking about “mobile” – everything will be connected.
  • Your users don’t differentiate between a mobile and non-mobile experience, so you need to integrate your digital strategies.
  • The Three A’s of Mobile: Awareness, Activation, Activity (Apollo Group, June Dershwitz)
  • But these must also be tied to your overall business strategy.
  • Next problem for mobile to deal with: cannibalisation. Are you stealing from other channels or is this new revenue?
  • Mobile apps or mobile web? Right now, mobile apps are superior because you can integrate with other features of the phone (e.g. address book, etc.) However, HTML5 will rebalance that and it is likely that browser based apps will take off vs. OS-specific applications.
  • Difficulty for analysts is understanding behaviour from mobile to web and other channels, as mobile data typically lives in a silo. Crucial for us to start understanding behaviour of users across channels.
  • We can learn lessons from the web, to speed up the learning curve.

Social media panel

John Lovett, member of WAA Board of Directors and Senior Partner, Web Analytics Demystified, Katie Paine, CEO, KD Paine & Partners, Sean Power, Founder, Author, and Consultant, Watching Websites

  • Social can be many things to many people or organisations. This requires the need for custom metrics and integrations.
  • However, the web analytics problem of silos is repeating itself with social. There is isolated use of social media in the depths, but not across the enterprise. (John Lovett)
  • Great debate between Sean Power and John Lovett: Sean argued social media does not scale – you can’t respond to everyone without hiring people to respond one-on-one. John argued companies like Dell are tackling this by teaching their existing employees how to respond. Sean tested this by tweeting Dell while on stage at the panel, to see how quickly they respond. (19 minutes, if you’re curious.)
  • Do you know what Pirate Metrics are? AARRR!  Acquisition, Activation, Retention, Referral, Revenue: http://slidesha.re/yO8Ml
  • Do we need social media standards?
    • Sean Power: “I don’t think businesses give a s*** about standards.” They care about making money and will do whatever they want.
    • John Lovett: We need at least some standards – definitions of basic, common metrics, even if different tools calculate them differently.
    • Katie Paine: We need standards so we’re not confusing others.
  • What about sentiment analysis? Sentiment analysis is like web analytics – you need the best people, not the best tools. (John Lovett)
  • Need context in social media. A small fly looks terrifying through a magnifying glass – which is what sentiment analysis can do. It’s important not just whether customers are saying something negative, but whether they are more negative about you than your competitors.

Tom Davenport: The New Quantitative Era – Creating Successful Business Change with Analytics

  • Analytics involves moving from descriptive analytics (the “what”) to predictive and prescriptive analytics (the “so what”)
  • In its most basic form, analytics is about making decisions.
  • Using data to make decisions, however, requires mastering analytics, culture and more. It’s no longer sufficient to just be good at one.
  • Become a student of error. Reviewing your mistakes can lead to better decision making.
  • To become successful at analytics, you need to work closely with IT, business decision makers and outside ecosystem members.
  • If you want to make decisions better, it’s not about the math, it’s about the relationships the analyst builds with decision makers.
  • Analytics and the work done should tie to decision. When an analyst receives a request, the first question should be What decision will you make with this data?
  • Skills needed to be a good analyst:
    • Tell a story with data
    • Stand firm when necessary
    • Help from the decision
    • Don’t just identify a problem, fix it
  • The analytics industry has a historical opportunity right now to transform our industries and functions!

Entrepreneurs Panel

David Cancel, CEO and Founder; Performable, Matt Cutler, CEO and Founder, Kibits, Eric Hansen, CEO and Founder, SiteSpect, Jonathan Mendez, CEO,Yieldbot, Dennis Mortensen, CEO and Founder, VisualRevenue

  • Let the market tell you what is right.
  • Everything I’ve done is based on solving customer pain. Can I give you an hour of your day back? (David Cancel)
  • You want a reaction to your idea. “I love your idea”, “I hate your idea”. “Cool” or apathy is not a good thing.
  • Commonly heard: “The last thing I need is another damn dashboard.” What they want is a red phone they can shout questions into.
  • Great companies are bought, not sold. The minute you raise your hand, your value goes down.
  • Charge immediately. From day one. The kind of feedback you get is very different the moment you ask for a dollars. (David Cancel.)

Any other insights that you heard that I missed? Add ’em in the comments!

Want to have at the raw data yourself? This is the archive I used: WAABosTweets052411at0113PM

 

 

A heartfelt thank you

On Tuesday, 15 March 2011 the WAA held the inaugural Awards Gala. (For the record, it’s pronounced gah-la. Not gay-la.) It was a wonderful event – a chance to spend time with the lovely people in this industry, and make new friends. The Gala was, in my opinion, a hugely successful experience – I can’t wait to attend the next one.

As a part of the Gala, the WAA handed out the very first Awards of Excellence. The categories were:

Client/Practitioner of the Year
Most Influential Agency/Vendor
Most Influential Industry Contributor
Web Analytics Rising Star
Innovator/Technology of the Year

I myself was so incredibly humbled just to be nominated for the award of Web Analytics Rising Star, let alone become a finalist. Those two alone seemed to good to be true.

Imagine my shock to win …

So, from the bottom of my heart,  thank you.

Thank you first and foremost to the kind soul who even thought of nominating me. Thank you for the WAA members who kindly voted for me to be a finalist. And thank you to the Awards judges, who made such a difficult choice from an amazing list of finalists, who are all so deserving.

I have been working in web analytics for a few years, but really only got involved with the community last May. I have loved every minute I’ve spent getting involved with the WAA, the Analysis Exchange and #measure. I learned more in six months than I had in years prior.

So all I can say is thank you. I really, truly love this community of amazingly smart people. Thank you for welcoming me so generously into it. Thank you for letting me learn with you and from you. Thank you for the time we’ve spent discussing, debating and encouraging each other.

Congratulations to the award nominees, the award finalists and the award recipients. You are what makes this community such an amazing thing to be a part of. I am humbled and grateful for the award, but more thankful still to be a part of such a wonderful community.

WAA Award

Omniture Summit 2011 on Twitter (Day 1)

So, because I’m a huge nerd (and I assumed others might be too) I thought folks might enjoy some information on #omtrsummit (aka the Adobe Omniture Summit 2011) on Twitter.

Half way through the opening session today (I’d say around 9.30AM Utah time) I started a hashtag archive using Twapper Keeper.

Some completely fun but not very actionable findings:

Approximately 17% of Summit Attendees tweeted: 441 unique usernames tweeted at least once, compared to 2600 attendees. (Note: I’m sort of assuming that if you didn’t tweet in the first day, you’re not likely to throughout the rest of Summit, but I’ll gladly check those findings on Friday!)

Top 10 Tweeters, in order of volume of total tweets:

dennisy
omtrsummit
michelehinojosa
RudiShumpert
johnrmatthews
EndressAnalytic
ad0815
bill_ingram
pvanhouten
c_sutter

Total 10 Tweeters, excluding retweets/via:

dennisy
omtrsummit
michelehinojosa
EndressAnalytic
kennovak
craig_burgess
spike96
pvanhouten
lorriegeek
theshammond

Oh yeah – and 1.4% of tweets on Day 1 included a reference to Charlie Sheen.

 

Twitter Analytics: Presentation from Social Media Masters

For anyone who is interested, my presentation from Social Media Masters is available for viewing on Slideshare:

Twitter Analytics: Michele Hinojosa, Red Door InteractiveTopics include: Twitter research for competitive intelligence, hashtag and network analysis, download, export and backup tools, Twitter account measurement using Twitalyzer and Klout and tracking Twitter links back to your website. Originally presented at Social Media Masters Twitter workshop in San Diego (2/11/2011)

What analysts can learn from group fitness instructors

Les Mills RPM

I am an analyst and a certified Les Mills group fitness instructor for BodyPump (weight training), RPM (indoor cycling), BodyCombat (mixed martial arts based group fitness) and BodyJam (dance based group fitness.)

While analyst and group fitness instructor seem very different, there’s actually a lot that analysts can learn from instructors.

When we are trained as instructors, we spend a lot of time thinking about how different people learn, and how to teach to all of them.

Visual learners need to see it to understand. In group fitness, these participants need you to demonstrate a move, not explain it. In analytics, this may mean visually displaying data, using diagrams, graphs and flow charts instead of data tables – and perhaps even hitting up the whiteboard from time to time.

Auditory learners need to hear it. In group fitness, they rely on verbal cues from the instructor. In analytics, you may have a thousand beautiful visual displays or PowerPoint slides, but it’s your commentary and explanation that will help these people understand.

Kinesthetic learners need to feel it to understand, to experience what you’re talking about. In group fitness, you can show them and tell them, but what they need is to feel the difference between “the right way” and “the wrong way” (for example, “Oh, now I can feel how muscle x engages when I turn my heel!”) This is the same group that tend to need repetition to perfect what they’re doing. In analytics, these are often the people that need to be led through your logic. It’s not enough to show them your findings, and to display the final results. They need to see the steps along the way that you used to answer your questions.

Now here’s where it gets trickier. When you are presenting to a group, they won’t all be the same type of learner. Which means that a good group fitness instructor and a good analyst needs to explain the same thing in different ways to ensure that everyone understands. For an analyst, this may mean using visual displays of information on your slides, talking through the explanation, and giving a step-by-step example to put everyone on the same page.

Keep in mind that you too have your own learning style. Your analysis and presentation style will likely match your learning style. (If you are a visual learner, a visual presentation will come easy to you.) It may take a more conscious effort to make sure you incorporate the learning styles you do not share. However, by tailoring your message to ensure you hit all learning styles, you stand the best chance of getting everyone to the same understanding.

OMMA Metrics #2: The full story

For those who were not as fortunate to attend OMMA Metrics in San Francisco, here are my key takeaways from each of the sessions. For those who did, I would love to hear yours.

Yes, it’s long. Feel free to skim what is of interest to you. There is no pop quiz!

Note: below are two fun, random facts that I enjoyed learning!

Evolving Analytics: Measuring and Analyzing the Digital Ecosystem at Lightspeed
Judah Phillips, Sr Director Global Site Analytics, Monster Worldwide

  • Everything in analytics is evolving: the skills needed, the size of teams within a company, the importance in an organisation and exposure to executive management, technology and tools and the scope of what we’re analysing (eg social, mobile, video, and tying traditional media back to the site.)
  • To compete on analytics requirements investment in people and technology.

Digital Measurement: A Retrospective and Predictions for the Future
Eric T. Peterson, Web Analytics Demystified

  • 50:50 rule: invest half your analytics budget on technology, half on people.
  • At scale, a centralised analytics group is all that ever works. Analytics should be in the center of marketing, operations, management, etc, but have “superusers” within each of the other departments. Decentralized analytics does not work.
  • We need to develop faith and trust from stakeholders by having more answers than questions.
  • Analysts are a service organisation. We have forgotten this! We need to serve to provide business intelligence: deliver incredible value to drive revenue; this will build trust.
  • We need to move beyond first generation tools and reporting and need to generate insights and recommendations.
  • Commit to create a measurable impact! “If you give me a testing tool, I will delivery a 5% lift in X.” At worst? If you fail, they’ll fire you and you’ll move on to another position (probably with a salary bump!)

Measuring Social Media: From Listening to Engagement to Value Generation
with Jascha Kaykas-Wolff (Involver), Anil Batra (POP), Jonathan Corbin (Wunderman), Taddy Hall (Meteor Solutions), Rand Schulman (Eightfold Logic and Schulman + Thorogood Group)

  • Think about 1) Reach, 2) Engagement, 3) Impact of social
  • To strategically enter into social, need to identify your objective, pick the appropriate channel (e.g. are the users you’re trying to reach on Facebook? Twitter? YouTube? etc), then find the right KPIs that take into account objective and channel.
  • Scalable measurement and monetisation is what is currently missing from social media.
  • Companies need to identify who the influences are, and who they influence.
  • Integrate social with other channels, and understand it in the context of all your marketing.
  • Don’t be afraid to do something different!
  • To measure success, ensure you take a baseline.

Analysing Across Multiple Channels: What Works and What Doesn’t for Multichannel Measurement
Akin Arikan (Unica), Roger Barnette (SearchIgnite), Casey Carey (Webtrends), Kevin Cavanaugh (Allant Group), Terry Cohen (Digitas), Andy Fisher (Starcom MediaVest Group)

  • Some channels are more involved with certain areas of the lifecycle. E.g. Mass media to attract attention, online to engage consumers and persuade, offline to grow and retain.
  • There are forty years of multi channel experience, but digital breaks all those rules. How do you mix it in?
  • Maturity of multiple channel measurement is mixed – some companies are doing a lot, but many are not, for a variety of reasons (e.g. silo nature of the organisation, perhaps using multiple agencies, etc.)
  • Financial services is ahead of the multi channel game, because they have statisticians, data, tools, etc.
  • Traditional media measurement has 30-40 years experience. In comparison, the techniques in digital are laughable. Digital needs to learn from this. However, in the digital space we embrace change, are fearless, and figure out how to benefit from the change. Need to combine these two: increase mathematical rigor in digital, and embrace change in traditional media. [Aka “Andy’s grumpy rant”]

A Measurement Manifesto
Josh Chasin (comScore)

  • Future of digital is not in selling clicks and click throughs.
  • Digital has a seeming ability to measure everything, but in some ways this hurts us. We’ll never be the most simple medium. The landscape is not simple, and it’s not getting simpler. However, we have opportunity for doing great and ground breaking things with metrics.
  • Strengths of digital: portable, affinity (consumers cluster around content of interest, and even create that content!)
  • Targetability makes audiences small. Affinity makes audiences relevant.
  • 20th century was the generation of the shouting brand. 21st century will be the listening brand.
  • Digital order of operations: Ready, aim, fire, measure, aim, fire, measure, aim, fire, measure …
  • We need to measure: audience size, ad effectiveness (across platforms), attribution, engagement, voice of the customer and brand robustness.

Engagement the Mobile Experience: Effective Mobile Measurement Strategies
Raj Aggarwal (Localytics) , June Dershewitz (Semphonic), Joy Liuzzo (InsightExpress), Evan Neufeld (Ground Truth), Virgil Waters (Acceleration), Jamie Wells (Microsoft Mobile Advertising)

  • Mobile often has different methods of data collection, as the common javascript tags may not work.
  • Some mobile metrics are the same as site analytics, but some are different. Mobile web is similar to desktop web, but applications can be unique.
  • Benefits of mobile analytics: you can have a more accurate reach metric, since there is a device ID, and people rarely share devices. Location is more granular and valuable.
  • Mobile is unstable right now – we are trying to figure out mobile analytics in a shifting environment. E.g. What will succeed: mobile web or apps? Will one succeed the other? Will there even remain a distinction between them?
  • Tools for mobile analytics: 1) Traditional web analytics tools and 2) Niche vendors (or a combination of both.) The benefit of traditional tools is the integration with your site analytics. The benefit of niche tools may be higher-value, mobile-specific data.
  • Third party measurement and Apple: feeling from the panel is that Apple will be forced to play by the market, and likely change its policies over time.

Metrics and Measurement at eBay
Bob Page (eBay)

  • eBay has a huge range (and volume!) of data (e.g. marketing, finance, customer service, user behaviour, web analytics, etc.)
  • There is no silver bullet. No one product will solve all your needs.
  • They have a huge datawarehouse that contains virtual data marts for different groups (e.g. marketing vs. finance) rather than silos.
  • They also have an internal web analytics community, building a type of “Facebook for analysts”: an internal social network where analysts can subscribe to each other’s feeds, look at the latest videos, discuss issues in forums, share PPTs etc.
  • Have a centralised technical team under the CTO, who is responsible for infrastructure, support etc.
  • Centralised business analytics team under the CFO, responsible for common, standard “north star” metrics.
  • Distributed product analysts in each business.
  • Note: size of the technical teams to support this is similar to the size of the core analysts.

Managing Analytics: An Executive’s Perspective on What Works, What Doesn’t, Best Practices and Lessons Learned
Judah
Phillips (Monster Worldwide), Matt Booher (Bridge Worldwide), Yaakov Kimfeld (MediaVest), Dylan Lewis (Intuit), Jodi McDermott (comScore), David L. Smith (Mediasmith)

  • Executive sponsorship of analytics is changing: “We used to have a megaphone, now we have a seat at the table.”
  • Centralisation enables standardisation, and helps with the evolution of analytics.
  • Where Analytics lives in the organisation: sometimes with the CFO, sometimes within marketing – differs within different companies. Analytics needs to own the technology and the data, though technical teams may actually implement.
  • Challenge: Lack of standards, lack of an organisational body.
  • Challenge: Executive distrust in the data or its validity. Jodi at comScore spoke of 4-6 months of having to explain data capture and constantly evangelizing before executives would place faith in data over gut.
  • Challenge: Hiring/recruiting. Companies want to find everything in one person: a technologist, a marketer, a statistician. Region can make hiring even more difficult. General sense is to find the right individuals/hire for instinct. You can always teach people the finer points of being an analyst (e.g. how to use a particular tool.)
  • Project management: Ticket-type system, scrum process. But no matter the project management used, requires ruthless prioritisation

Online Measurement: The Good, the Bad and the Complicated
Joe Laszlo (IAB)

  • The good: Online measurement is competitive, we have many vendors options. Vendors have integrity and are continually innovating. We can measure nearly anything.
  • The bad: Contradictory metrics from vendor to vendor, and changes in methodology can render dramatic fluctuations in measurement.
  • Online is managing to capture direct-response dollars, but not branding dollars. This is because brand marketers want to understand what their spend did for brand awareness, purchase intent, etc. What they get is “engagement”: view throughs, time spent, etc. There is a disconnect between what measures of success digital offers them and what they want.
  • Traditional media measurement allows calculation of reach and frequency. Also has years of experience of what matters, and has well-accepted metrics.
  • Lack of online measurement standards makes accurate data comparisons impossible. This can not be solved by any individual company, therefore the IAB is tackling through a cross-industry task force.

Modeling Attribution: Practitioner Perspectives on the Media Mix
Cesar Brea (Force Five Partners), Gary Angel (Semphonic), Jason Harper (Organic), Drew Lipner (InsightExpress), Manu Mathew (VisualIQ), Kelly Olson (Red Bricks Media.)

  • Attribution: What campaign/medium is responsible for the sale?
  • But there are more questions now: Is it better for someone to touch campaign a and b? What about b first then a? It’s not just the attribution, but do the two campaigns contribute together, in what order, or are two overkill, etc? E.g. Evidence that display with search adds value to search: someone searches after seeing a banner ad.
  • Can get a lot of benefit from evaluating click attribution, but even more from impressions optimisation.

Understanding the Multi-Screen Consumer: What’s on their Screens, What’s on their Minds
Alison Lange-Engel (Microsoft Advertising)

  • We now access online content via a variety of screens: computer, mobile device, TV, gaming consoles. We are always on and always connected.
  • Microsoft Advertising conducted survey to answer these questions.
  • The most active segment is 24-35 year olds.
  • Consumers are rapidly adopting technology and want control of the experiences.
  • Online gamers are the “game changers”. They do more of everything, all the time, social influencers. They spend the most time blogging, viewing, texting links. They view their game console as a communication device.
  • A linear funnel is not relevant anymore, as all screens impact purchase and allow an impactful story to be told.
  • Computers and smartphones are the key points of purchase.
  • The younger segments are accepting of advertising across multiple screens, actually want information and entertainment. They find ads helpful when they are targeted to their preferences and interests. They want a consistent experience across screens, and like the ability to access content across multiple screens – it actually improves their opinion of the content provider.
  • The key to success is: Consistent messaging + connected to other mediums + relevant = engagement and results.
  • Full report at advertising.microsoft.com/multiscreen.

And fun facts for the day:

  • The birthplace of web analytics is Hawaii!
  • Web Analytics is still small. All the web analytics companies sold for less than DoubleClick!

For those who did not get to attend this event, I highly recommend checking it out next year. It was interesting, informative, with great choice of speakers and a nice mix of presentation vs. panel discussions. Learning has never been so fun!

OMMA Metrics #1: Fun with word clouds

I’m back from a fantastic experience at MediaPost’s OMMA Metrics, organised by Judah Phillips.

I am putting together a full write up on the takeaways from the amazing sessions, as well a review of the event as a whole (all good, I promise!) However, because I’m a nerd and wanted to take in as much info as possible, I took copious notes at each of the sessions (5,001 words in total over the one-day conference – and no, I’m not kidding) and put it together into a delightful word cloud using Wordle.

Enjoy, and stay tuned!

[Click to view larger image]