Searching around for something to write about today and it occurred to me that Compete.com could, with some limitations, be used to see how well a major movie being released is being promoted or watched online.  Take 3 current releases, Inception, Who is Salt (which might be a TV show for all I know) and The Last Airbender.

This approach doesn’t work for movies that Disney releases because they use two level deep subdomains to hang their movie site urls off of that Compete does not currently track.

I looked at daily attention and daily reach for the movies (we could compare up to 5 at one time – again, with the way the urls are written out – not every movie can be compared this way – unless Compete.com adds deeper Subdomain tracking).

In fact it looks like a lot of the media properties of Warner Brothers could be tracked in Compete including many popular TV/Cable shows

Which gets me to a point I want to make – the only reason analytics is interesting – I think – is that relates  back to a story – something we know about and want to measure – something we can make an emotional connection to (gee… that almost sounds like Art – like Paul Cezanne‘s famous saying about the only thing worth painting about is something he had an emotional reaction or connection to).

Most of the time, without that connection – it’s hard to see how the analysis is going to be all that interesting – but that’s just me.

Compete.com also has a Behavioral Profile for a “Movie Enthusiast” – you won’t be able to get to the url without the full Compete Subscription, though.

Here’s a breakdown of the Miscellaneous traffic that comes to this category – you can’t go down any further than this in a category profile currently – but I wonder if that will change in the future – my guess is it will.

Anyway, this post was more to spur a line of thought – I could spend more time on this post – and maybe I will, offline – and if I come up with anything further to say about tracking movies or media properties marketing promotions or popularity online – I will share it here.

The only thing I’d add is there’s a whole different analysis that could have been done in Sysomos or Radian6, etc, using these media properties – and it would be interesting at some point to superimpose them.

I’m excited that an IDEA I gave to Compete.com almost 18 months ago (or more) is now reality – it’s called Compete.com’s Traffic Dashboard and I was, as I understand it, the first to think of it and ask for it.

While smaller sites such as my own Webmetricsguru.com blog are not supplying enough traffic to generate this “map” most larger sites do – and you can drill down.

True, the information for the most part was part of their reports – but I lobbied for categorization way back and Compete.com listened – boy did they listen!

Btw, for any of my readers who are in NYC, I’m speaking at Colubmia tonight – join me there.

My friends at KeenKong have been busy perfecting their conversational mining platform since my last visit to Montreal in December and have come up with something new, Conversational Metrics including a Net Promoter Score for their conversation meaning platform that includes a semantic analysis overlay.  I first wrote about KeenKong’s initial offering at KeenKong – Conversational Analytics last November.

KeenKong asked me to come Montreal to give my opinion about their platform much as Compete.com has (but they didn’t fly me to Boston for that) yet I’ve found my opinion being asked for, more and more – and my friends at KeenKong.com have taken some of my advice – just as my friends at Compete.com have, and you will see some of it (for Compete) on May 15th – as a new feature of Compete that I directly influenced.  The same goes for these metrics – though the team at KeenKong went even broader than what I asked for.

First, the Net Promoter Score for Twitter Conversations around a brand – it’s still being tested and in the process of certification but I can say KeenKong is the first to come up with such a metric for conversations on Twitter to my knowledge.  I won’t go into the Net Promoter Metric for KeenKong as I was asked to wait on that – except to announce the capability exists – and KeenKong is doing it – contact Frederic Guarino at KeenKong.com if you want to know more about the new KeenKong metrics module – again, this was an idea I floated to them last December – but I’m sure I’m not the only one who asked for it and I did  not specify the Net-Promoter score – another of their beta testers did.

For some reason Frederic Guarino compared me with @conversationage – Valeria Maltoni – who is a friend of mine, for this analysis – I’m sharing what Frederic prepared for me. I had no input in this decision but am sharing it as it was given to me.

The first metrics KeenKong supplies me with is total mentions and total reach of those mentions – as you can see, Valeria has a larger following and therefore, more mentions and reach than I do (looks like, for the selected time period, a tweet from her could be seen by 9 times more people than me).

Taking a direct suggestion from me, KeenKong not only publishes it’s metrics but shows the formula it uses to calculate that metric.  This is very important to me and something I stressed, I see way too many industry metrics that don’t publish the essential information on derivation – I saw that often with metrics derived from Comscore – and I never liked it.   If you can not explain how you derive an number you should not publish it.

Having said that, the Intimacy rate is a metric that you’d need KeenKong’s semantic analysis engine to come up with as you’d have to first define “intimate” conversations (what one shares about oneself) and in this sense KeenKong is showing Valeria and I are about the same in how we talk about ourselves.

Here are some more Conversational Metrics from KeenKong.com (I left the Net-Promoter Score out as it’s still a work in progress).

Well, according to this, I answer more of my tweets but also talk more about my personal life.

I guess the last metric above shows that Valeria needs to answer more of her tweets – on the other hand, if you have a lot more followers it might be harder to keep up with all the requests.  Jeff Pulver (@jeffpulver)  has over 350,000 followers, more than 100 times what I have – I wonder what his conversational metrics would be here?

Anyway, we are only looking at two days in this metrics analysis, April 7th/8th – I’m more interested in seeing the metrics over a period of 3 months – I’m sure that KeenKong has a lot of directions they could go with this new offering.

If you want to know about KeenKong as a platform and their semantic conversational metrics capabilities contact Frederic Guarino at KeenKong.com