Posted by Marshall Sponder on March 08, 2014 | Link It
Short post – Just want to announce two things today.
- The first stop on our Programmatic World Tour took place Wednesday at The Rubicon Project.
I spent Wednesday and Thursday at the Sentiment Analysis Symposium at 7 World Trade Center – where the Academy of Sciences is located, on the 40th floor – you can get a pretty good feel for the conference and how I “felt” about it by reading my CMSWire post.
The Programmatic World Tour
I think its fair to say that hardly anyone knows what “Programmatic” is, but that is something my classes at Baruch are learning about first hand, as we take a Programmatic Tour of the major players in this space that are located, mostly in New York City, in Manhattan to be exact – read my post below to learn more.
Posted by Marshall Sponder on March 03, 2014 | Link It
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
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
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.
Posted by Marshall Sponder on February 25, 2014 | Link It
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 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 Sochi – this 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.
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.