Tag Archives: Followerwonk

Analytics for Musicians presented to Chamber Music America on December 2nd, 2014 at St. Peter’s Church – NYC

I’m presenting a deck merges a lot of the thinking behind what i’m doing at Baruch College Zicklin School of Business with the insights I’ve developed at Rutgers University in the past – and put it in service of Musicians (both Classical and Jazz).

The talk is being streamed live at Chamber-Music.org between 3 PM and 5 PM on December 2nd, as well.  In a few weeks (we hope) the presentation will be online at Chamber-Music.org and I’ll post the video up on YouTube as soon as I get it.

A lot here, hope you enjoy it and feel free to leave me a comment if something strikes you as a possible area to develop out of this work.

SocialCRM NYC 2011 and Social CRM in general, where is it all going? – Web Journal – Late October, 2011

I’m speaking at and attending SocialCRM 2011 in NYC next Thursday (a week from today) and some things came up around the conference that led me to this post on SocialCRM.  Similar to the Occupy Wall Street posts I wrote recently (and still not done with) I came up with a triangulation of data that I want to share -as it shows the strengths of various platforms I am working with and evaluating.


For one thing, I tried using various platforms to find Social CRM influencers in New York City or nearby (say, as far North as Boston and as far South as Washington DC), these people could be reasonably expected to travel to a conference in NYC easily (via Amtrak, car or bus), and still return home that night, if they wanted to.


First up is TRAACKR, which has some very helpful new features (some of which I have been consulted on and asked about, beforehand).    I ran a Social CRM segmentation in TRAACKR yesterday to see what I’d come up with, and with the new enhancements for location/analytics, it’s usefulness is improved a bit.


The Geo-location breakdown was very useful and isolated for me a few people that I could immediately look at the fit the criteria.  An quadrent diagram now ranks influencers for those who want to see a visual representation of what TRAACKR provides.

This readout might become useful with a large list, not sure how much it plays into a smaller one but it’s certainly an advance in the platform’s capabilities. Sentiment Analysis is also provided, but you need to manually rate each mention first (which I haven’t done) so there’s nothing to show.  Like many other platforms in this Social space, the value proposition is both intimidate yet long term (if you put time to into looking at content).  The old saying – you get out of it what you put in to it, is very applicable here.


I didn’t want to stop with TRAACKR since I only found a few Social CRM influencers close enough to NYC to take a closer look at, so I used FollowerWonk, which is a free platform and got more information that could be helpful.

There’s a lot more about Followerwonk that I didn’t explore for this post but it’s all there, and for the most part, easy to access and mostly free (there is a credit system but most people can do what they need on this platform for free).


The Recorded Future is an interesting platform in that it can do social media analytics, but what it really does best is Temporal Analysis and Predictions – it’s based more on what people think is going to happen in the future and showing you a map of that, as well as listing out influencers.

As a forecaster, if Recorded Future has the data (not a certainty – but we’re working on that) you can make predictions based on what others think is going to happen.  Is that real forecasting – no, but it’s a lot easier to do this kind of work in RF than other platforms, any other platform, in fact, because none of the others is temporal based in the way Recorded Future is.

For example, Recorded Future was able to easily chart out that Social CRM is expected to be a 1 Billion dollar market by 2013 – that’s pretty interesting if your a forecaster (or financial analyst, or IT Analyst, or many other types of analytics where time is an important factor – what are the expectations of the Future).

Also, Recorded Future does a good job finding Influencers (though it could improve the algorithm which is weighted mostly by volume of documents not so much the influencer’s own popularity (lets be honest and call it what it is) in a space.

By clicking on the individual sources you can drill down and find who is influential – or whom others say are influential about a subject (which is what I did, and came up with a few names – based on what Paul Greenberg said about others).

And when you add that all together – TRAACKR, FOLLOWERWONK and RECORDED FUTURE you can get some very interesting exploratory research.


Well, the problem isn’t what the platforms or tools can or can’t do, in this case, as much as I don’t have a specific ask here – I’m just playing with all three platforms and trying out something to see what works.   Normally, that’s not going to be enough for a paid deliverable that moves people forward – but that’s not the point – had I wanted to offer something like that (I could) it would be for a very specific ask or task report, something I can’t really do here, but am very open to.


And if your around in NYC next week you can talk with me at SocialCRM 2011 in NYC next Thursday, November 3rd, or the  Social Media World Congress on November 1st and 2nd (see program for the specific time slots).


FollowerWonk new features

Wrote about FollowerWonk at Webmetricsguru.com last year and they have a small mention in my book.  Followerwonk has some new features and it’s always a pleasure for me to use Followerwonk because the platform is both easy to use, but extremely powerful, for what it does.  All of this was triggered by an email I got this morning from Peter Brey of FollowerWonk:

Hi folks:
We’ve introduced a major new feature to Follower Wonk.
We call it “Slice ‘n Dice”.  It segments any Twitter user’s friends/followers in a number of different ways: by their follower count, how long they’ve been on Twitter, how many times they’ve tweeted, and so on.
It’s a great way to really dig deep into your followers.  Or spy on a competitor.  Or find dormant followers.  And so on.
Here’s an example:
We’ve also introduced a number of other cool new features with this release, too.  Our “Wonk Score” is a measure of influential activity on Twitter.  You can now save comparisons and slices.  And much more.
Please let us know what new features you’d like to see in future!

Briefly looked at FollowerWonk’s findings for Social Media Analytics and if people put what they do and what they believe in their twitter profiles – I think FollowerWonk is a fantastic platform to find Influencers with – and I’ve said that before.

Looks like there’s a new “credits” system, that allows a certain amount of free reporting – but a heavy user might need to purchase additional credits, which seems fair, given the power of this platform.

Did a custom slice and dice report of my followers - haven’t yet figured out what to do with that information but I have really thought FollowerWonk was one of the better platforms for finding Influencers, esp by Geo-Location, and perhaps not been as well known or marketed as it could have been.

@webmetricsguru followers’ locations word cloud

Similar to the above word cloud, here we show you the relative frequency of words used in the “location” field of webmetricsguru’s followers.

new – york – ca – london – usa – üt – nyc –san – ny – uk – ma – chicago – boston – canada –washington – francisco – united – tx – atlanta – toronto – los – seattle – and –angeles – il – dc –


I also did a report of a group of 1000 of my followers and who they follow rather than the full number as I did not want to use up all my credits as I’m sure to be using FollowerWonk soon again.