Geofeedia @ the Oscars, and other thoughts – Web Journal 3/3/2014

Busy all weekend working on the close to final launch version of The Science of Viral Media course, but took out some time tonight to watch the Oscars on TV and Geofeedia, along with Brandwatch and made two videos earlier on Sunday.

Instagram Photo taken by http://instagram.com/theandrewscott# (http://instagram.com/p/lEhUT5P0cK/) and captured by Geofeedia 5 minutes later

Source: https://www.youtube.com/watch?v=JM5KFHwWnEc


Source: http://www.youtube.com/?feature=youtu.be

Oscars After Party with Geofeedia

Top Accounts and Keywords

I think, with the Oscars, there wasn’t all that much in Geofeedia that was different than what was on TV or on Jimmy Kimmel, but got much more of the people on the street kind of information and I was able to sift though several accounts connected with the celebrities.  No doubt, the accounts in social media that dominated were involved in Marketing, in reporting and amplification of the story, but weren’t the story itself.

Thoughts about Metrics and KPIs

I was thinking about KPIs the other day (while having brunch at a RI restaurant) and mused about what the owners cared about – it dawned on me the lecture I gave on KPIs at Baruch a few weeks ago was way too abstract, that KPI (Key Performance Indicators) could be much more real.

Taking it down to the level of a local restaurant chain, or any business, you could ask “what do you care about”?   I don’t want to go into the area of telling people what they should care about vs. what they do care about, what they should be measuring vs. what they are measuring.  I think that conversation is probably going to be a waste of time.  No one wants to be told they should be measuring something they are not.

Rather, what if what you cared about is what you should measure?   What if the KPI is “organic” and grows out of what the business/stakeholder/owner cares about naturally?   Why couldn’t be?

So if a business cares about new people coming to a restaurant chain then lets figure out 1. (that this is what they really care about) and 2. how would they measure this along with (3. do they have the data?).       And if go further, what are the operational parts of that KPI?

So it got me to think about, at least at that moment, there’s only two types of KPIs, those things you care about and want to measure (which are operational) and those things that you aspire to (are aspirational) and you need a way to measure how far away we are (or how close).

Its an idea I will continue to work on and develop.

Organic Growth and the Blue Man Group

Blue Man Group photo published at

http://www.socialtext.com/blog/tag/social-networking/

This semester I have had my TA at Baruch working on summarizing the undergraduate and graduate classes responses on a few of our early discussions in Blackboard, our online learning platform there.    I have had this belief that my students have a lot of knowledge and wisdom and that the best way to learn analytics and web intelligence is to take the collective learning, contain it and reflect it back to the class in the form of streamlined summaries.

But then I wondered if directing the TA to do this is not as productive as other things she could be doing.   After a conversation on Friday with someone from Blue Man Group, I think my own instinct, at least as far as the way I teach, might be correct (at least, for me).  The Blue Man group developed its own style by growing it from within, by its own experiences working from the center, out.

But teaching from the center out might mean that some subjects get a lot of attention (that my students want to focus on or that I want to focus on) which mean other subjects that objectively should get covered, might not.    And maybe there’s some justification to say that drawing from the center and teaching out of that, might be missing something.

But I wonder if the alternative is any better – and if it is better to teach from the center out, organically and then adding a touch of one or two external subjects for a touch of balance.

1st CMSWire article – its all about SOCIAL MEDIA week NYC #smwnyc

Last post I promised to write about Social Media Week NYC, but didn’t actually get to it – said I’d write another post – but the reality is, I wrote two posts – the first is at CMSWire, a well known online publication where I just started writing to, along with ClickZ, where I have a regular column connected to Convergence Analytics.  And then, theres my blog – here – WebMetricsGuru, my home.

crimson hexegon

Crimson Hexagon Topic Wave on Social Media Week NYC 2014 #smwnyc

Crimson Hexagon – Demographics around Social Media Week NYC

My article on Social Media Week is Musings from Social Media Week #SMW14 and you can go over to CMSWire and read it – then come back here and finish the rest of this post.

BTW, mentioned below is the request to put in keyword filtering in the Topic Wave charts, and I’d like to see it with demographics and perhaps even advanced topics as well, even if that means I won’t get visualizations all the time due to lack of data.   I posit the times I do get a readout will make the reports more actionable and more overall, worthwhile.

If the last post was all about Geofeedia and a ringside seat at the Winter Olympics in Sochithis post is all about Social Media and Crimson Hexagon.

Crimson Hexagon ForSight Monitor – Topic Wheel – Social Media Week NYC with filter on Unruly

 The Topic Wheel is impressive itself, but when Unruly is filtered in, the results get even better and directly relate to the content of both presentations that I mentioned in my CMSWire article.

“Social Motivation Posts” from Unruly Topic Wheel – Crimson Hexagon ForSight monitor.

You can really dive into even a niche topic such as “social motivation” which points to the social reasons why people share social videos – and find out who is posting about it and how influential they are.  Of course, this all ties back to the Science of Viral Media Sharing and our new course at Rutgers University that is launching any day now.

Crimson Hexagon Topic Waves for selected SMWNYC 2014 Sessions

Fortunately, the many of the sessions at Social Media Week (this time) had unique hashtags, which I alluded to in the CMSWire article, this improves attribution and also made it even easier for Crimson Hexagon to pick those sessions out with little guesswork from human or machine bot.  The only thing I might wish for in a Topic Wave is a keyword or time filter, much as the Topic Wheel or Bubble visualizations provide.

Crimson Hexagon Clusters around Unruly and Social Media Week NYC 2014

I bet, after reading my post, Crimson Hexagon will be inspired to add that filtering to the development roadmap (sounds like it would not be too hard to include this feature in the future, though I wonder if in doing so, too much signal will be cut out to provide wave visualizations in many cases).

 

Crimson Hexagon Affinities at Social Media Week NYC 2014 If various marketing accounts on Twitter were 70 times more present in the online audience at Social Media Week, which probably also overlapped the physical audience due to the nature of this event, then the audience around Religion and Spirituality was much less than average.

Summary:

Crimson Hexagon really has improved the platform significantly since I first worked with it in 2009 – and with the 6 years of data (available) provide a major advantage for many types of visualizations and trending over many of the other platform I deal with that do not offer anywhere close to that kind of data window.

By the way, I created all of these visualizations via Crimson Hexagon Buzz Monitor – I didn’t have to train any categories or spend much time building out this monitor so the results are impressive, considering I got a very decent swath of information and visualizations that, on the face of it are clean data, with next to no effort on my part.

But with Crimson Hexagon, putting in the extra effort and building a ForSight Monitor could yield a great deal of additional insights if it was done right (there is an art to monitor building).

And as far as actionable insights – I will leave it to my readers to pick out these – but let me point out that the way Crimson Hexagon is presenting the data makes it visually attractive and useful and the same time – and you don’t see that kind of thing too often.

 

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 http://www.youtube.com/watch?v=JlsxkDIcv8Y&feature=youtu.be&hd=1

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.