Category Archives: Web Analytics

Three new articles and the WinterPark Social Analytics Forum this week | Web Journal Early June 2014

Three articles of mine were published this week.

  • Jun 2, 2014 Convergence Growing Pains in TV and Retail Marketing  We need to “invert the pyramid” of a top-down model so that brands are listening and really want to learn what their customers want, instead of relying on a few designers at the top of the Pyramid.  –

Now you know why I am not writing here as much – so much to do!!!!  A new article- interview on the future of Programmatic Creative with the CEO of PaperG is in the works right now.   By the way, I’m on my way to Orlando over the next day for the first WinterPark Social Analytics Forum that I spoke about in my last post here – and here’s the main presentation – though as it is very small, most of the meetings will be more in a “roundtable” format and freeform.

Sometimes, less is more, so I’ll stop here – but I hope to have some great news to share soon.

Programmatic ClickZ and Omni Retail (FIT) Events and Musings – WEB JOURNAL – Late March, Early April 2014

Didn’t realize my last post was three weeks ago!   Where does the time go?  When we’re busy … we are BUSY!      Anyway ….


ClickZ Live NYC

Last week I was at ClickZ Live in NYC (but just for one day – I wasn’t able to attend the last 2 days of the conference) and wrote about it on ClickZ this week in the Convergence Column.  From my perspective Search Marketing and SEO have merged with Social Media for at least a few years, but now I think it’s clear they have become in many ways, two sides of one coin, or maybe, better yet, two faces of the same cube – or if we want get fancy about it, two facets of the marketing diamond (there – maybe a coined a new term – ha!).

I went to LinkedIn and tried to map the audience (on LinkedIn) for Search, Social, the Convergence of the both, and so on.  I could have done that for the whole world, but it would have been a bit more work with LinkedIn’s “archaic” front end interface that doesn’t go back into time – showing changes over the last year, or so, either.

I guess there is something to be said for “Big Data” – if LinkedIn wants to give you something fancy, they will charge you an arm and leg for it, and pull out their Data Science team to do it, but if you, a premium member want to pull data in a simple interface they could have created for us, Nah… they are simply not interested in enabling their users to pull data in more interesting ways…without LinkedIn cashing in big $$$$.

Even so, with just a little bit of thought you can pull stuff like this, above.

I guess, though, that LinkedIn would not be the kind of company that is interested in the democratization of data.

What that says to me is  about 1:40 people who are interested in Social Media in the United States are also interested in SEO and Search Marketing.  I can’t tell you what the percentage was last year, thought I can measure it from month to month if I keep running this set queries in LinkedIn.

Oh well!  Read more about my musings on Convergence here.

 Omni Channel Retail Symposium at Fashion Institute of Technology (FIT)

I’m teaching at FIT this semester (as well as at Baruch College and Rutgers University) – this time it is a small group class about “hands on” –  Social and Mobile Analytics – I will be completing the training with my students this Saturday.



Turns out that the first Omni Retail Symposium also took place at FIT last  week and I got to go, as well as get access this semester (and any semester I teach) to all of FIT’s internal data – something every FIT Instructor and student gets (such as premium WGSN, SRDS, Mintel, etc).


Retail represents a big chunk of the US economy. It contributes $2.5 trillion to the nation’s annual gross domestic product, according to the National Retail Federation. So it’s no surprise that there’s so much interest in the quickly evolving, multichannel retail climate, as evidenced by events like the First Annual Symposium on Omni Retailing.

I wrote about the Omni Retail Symposium at CMSWire – read about it here – including my questions directly to Pete Nordstrom.

While the small class I’m teaching at FIT is interesting – teaching gets me to stretch, esp with Geo-Location, iBeacon, and just thinking about what the world looks like and where it is all going.

Geofeedia – Kwerie and Music / Fashion Discovery Engines

Yesterday a student of mine at Rutgers talked to me (via a journal entry in my popular Rutgers course on Social Media for the Arts) on his startup platform called Kwerie - explore Kwerie at

Kwerie is a discovery platform, and considering how far its gone, it’s impressive.  But combined with Geo-Location, something that I have been studying via Geofeedia quite a bit lately and decided to cast Geofeedia on Moscow, looking for a hot club where Fashion might be discovered in the making.  Or just maybe a little bit of life in Moscow – though I could have cast Geofeedia’s eye ANYWHERE and probably picked up something interesting.  Lets focus on Moscow today.

Hottest Nightclub in Moscow and Geofeedia

What is hottest club in Moscow?  Hmm…… Cafe “Mio”?   Let’s try Cafe Mio.  The rest of the clubs look pretty interesting too – and maybe I should have gone down the list farther – but I figured – why not just take the first one, Cafe Mio (even though it was ranked #10 – ha!).  Darn! I’ll get the Soho room in Moscow on another post – ha!   Makes me want to go to Moscow.

The Best Moscow Night Club - Soho Rooms - Photo 11

The Best Moscow Night Club – Soho Rooms – Photo 11 –


I managed to find the address of Cafe Mio, wasn’t too sure exactly how to match up the address with the actual location of the club since their map and Geofeedia’s map (via Bing) wasn’t in the same orientation – and reading Russian directions isn’t my expertise – but I managed to figure out approximately where the club was and set Geofeedia’s eye on it, and above is a snapshot of what I saw.

But it could have been anywhere.

What if we merged Kwerie with Geofeedia and added – what would have?

… well, what would we have?    A good question to end this post on.


More soon.

Ringside seats at #Sochi2014 Winter Olympics and Social Media Week 2014 thanks to Geofeedia and Crimson Hexagon

It feels so liberating to write for a change – I miss it, the self expression, sharing, feels so natural to me that I wonder why I don’t post as much as I used to, anymore.  Maybe its the 213 students at Rutgers this semester plus 38 students at Baruch, plus a bunch of other classes and projects that take so much of my attention these days.  But when I write, like I do today, its as if it feels so right, so good, I don’t want to stop.

Another announcement – take a look at our new online course on the Science of Viral Media is launching soon.

Rutgers University and Unruly and Marshall Sponder – you can sign up (official start date to be announced)

Said I would write a long post at the end of the Winter Olympics in Sochi – but indulge me in a video first – it’s 10 minutes long but shows you the Ringside seat I had at the Olympics all along with Geofeedia.  I could have been there – and I have much material, over 74,000 posts and almost 15,000 Twitter and Instagram accounts that actually attended, mostly Russian, to follow up with, were I interested in that kind of research.

This post is so long that I’ll probably do a different one on Social Media Week NYC, #smwnyc which also happened this week here in New York.

Source: Sochi Olympics with Geofeedia #geofeedia

Combining Geofeedia with Crimson Hexagon would be ideal – since I have in my power to use both right now – that’s what I have done, for a variety of reasons.  Geofeedia has not got much in the way of text analytics, these two platforms could well live together – they each have things the other could benefit from – Crimson Hexagon would get a source of verified local data and accounts while Geofeedia would get automated training algorithms, superior text analytics and a much better visualization and reporting engine, something it needs, along with a visual analytics (both are missing that – ie: recognizing shapes in images, recognizing brand appearances in images – such as Coca Cola bottles, not just in text).


Source: Crimson Hexagon – Sochi Winter Olympics Monitor – Feb 7th – 15th Major Topic Waves

 I am really grateful in my life today to be able to combine things in a way that serves people, serves humanity and serves the vendors that have shared their platforms with me.

Friday I attended a BWG Strategy Roundtable on Twitter where my mind raced to fill in blanks.  Mostly Analysts, Investors or Brands present – I’m neither, so I never know quite how I fit in, much less got invited – but I’m there anyway.  I hear what people have to say about Twitter Advertising, missed opportunities and what strikes me is that most of Twitter’s problems are solvable with a little imagination, which they seem to lack.    Recent reports from Business Insider saying that Twitter growth is stalling seemed to be on everyone’s mind.

In other words, the pieces to solve all of Twitter problems already exist – they just haven’t been combined properly. Here are the elements.

  1. Twitter Analytics single pixel tracking code
  2. Twitter App connection to iPhone and Android gyro devices
  3. Verified lists of event attendees via #geofeedia and iBeacon devices

Consider the problem of noise and who actually sees a tweet – Solvable – easy – not that the Twitter seems to be focused on the obvious – hate to say it.

  • You can determine who has seen any tweet on a mobile device running the Twitter (and perhaps other apps) by simply tapping into the mobile device gyro and finger movements – anyone who could be actually looking at a tweet would have to scroll the Twitter feed (and likely gaze at the tweet) and if it’s on a phone, the movement of the phone would tell you if someone is actually reading at tweet(s).   You can pull that into Analytics too – and profit off that data – but I hate to say it – Twitter seems to be totally missing the obvious opportunities present and going after things its Board feels are more important.  Too bad.
  • With Geofeedia and iBeacon platforms you could not only pick up a list of people at events that are being tracked -but you could also follow up with surveys (when someone wanted to respond) AND serve that single pixel that Twitter now has, on the responses.   Why is that so hard to grasp?

You would think smart people at Twitter would have seen that by now – I guess they aren’t that smart, or else, they’re not been that successful yet at whatever they are planning and are not wanting to tip their hand.

Finally, event sponsorship at the Sochi Winter Olympics – I did a little research project  and found some really interesting things – most of which I won’t talk about today.

Source: Crimson Hexagon – Sponsors at Winter Olympics

Official Sponsor of Sochi Winter Olympics  placements in Social Media

The query I used, to the extent I could was executed in the same way on all the platforms (Geofeedia doesn’t apply as it is all based on Geo-location).

(sochi OR “Olympic Games” OR Olympics OR “Sochi 2014″ OR “2014 Olympics” OR сочи2014 OR олимпиада OR #sochi OR олимпийский OR #Sochi2014 OR олимпиада2014 OR “олимпиада 2014″ OR “краснодарский 2014″ OR олимпиады OR #olympicgames OR олимпийскиеигры OR олимпийской OR олимпийская OR олимпийского OR #olimpicgames OR #olimpicgames2014) AND (Visa OR P&G OR “McDonald’s” OR McDonalds OR Subway OR Nike OR “Atos Origin” OR “Coca-Cola” OR Dow OR GE OR “General Electric” OR Omega OR Panasonic OR P&G OR Samsung OR Visa OR At&t OR BMW OR BP OR “British Petroleum” OR Budweiser OR Chobani OR Citi OR “Kellogg’s” OR Kelloggs OR Kellogg OR “Liberty Mutual” OR Nike OR “Ralph Lauren” OR “TD Ameritrade” OR “Smuckers” OR “United Airlines”)

Have fun with this!  I have had enough writing, enough work for one day.