Post(s) tagged with "analytics"

Tidemark’s cloud-based analytics includes Storylines, an infographic-style display of various scenarios using company data and assumptions. Looks very cool. Read this Quentin Hardy piece that mentions them.

Tidemark’s cloud-based analytics includes Storylines, an infographic-style display of various scenarios using company data and assumptions. Looks very cool. Read this Quentin Hardy piece that mentions them.

Union Metrics For Tumblr

I want this very much.

Union Metrics for Tumblr provides detailed Tumblr analytics for brands and marketers, helping provide insight into engagement with Tumblr campaigns and conversations.

Union Metrics for Tumblr is Tumblr’s preferred analytics provider.

For the first time ever, get analytics on any Tumblr post or topic! Search for a blog, a keyword, a tag, even content source. We have full-fidelity access to the entire firehose of Tumblr data, so your analytics are built on the highest quality data.

Union Metrics for Tumblr reporting includes:

  • Post and note volume to show overall engagement levels and trends over time
  • Top contributors and curators to help identify key influencers
  • Analysis of posts and tags to surface most popular posts
  • Post engagement details, including the full reblog tree and interactions over time

Tumblr has more-or-less endorsed the tool as a ‘preferred analytics partner’: the first of these preferred partner rleationships.

Images do better than this unspirited prose:

Note that this third image represents a Twitter cascade from a specific Tumblr post. That data is accessed from Gnip’s Twitter firehose.

Back in June 2010 I wrote a post (see Twitter Raising The Infrastructure: App Builders Better Run For The Ultrastructure) about Twitter’s destablizing moves into the Twitter ecosystem, and predicting that Twitter would push strongly into analytics. And yesterday the company announced that its analytics service has gone into limited use with clients, and soon will be available to us all.

Back in June 2010 I wrote a post (see Twitter Raising The Infrastructure: App Builders Better Run For The Ultrastructure) about Twitter’s destablizing moves into the Twitter ecosystem, and predicting that Twitter would push strongly into analytics. And yesterday the company announced that its analytics service has gone into limited use with clients, and soon will be available to us all.

Source: stoweboyd.com

Introducing Twitter Web Analytics | Twitter Developers ⇢

Twitter announces Twitter Analytics, a service to track how much traffic comes to a website from Twitter.

Twitter drives 4 times as much traffic as you think it does | awe.sm: the blog ⇢

Because we are moving from a web of pages to a web of flow because of the rise of liquid media, Twitter’s impact is beinf significantly underreported by referral-based analysis tools:

Jonathan via

Referrers are a poor way to attribute traffic from social sharing.

Referrer analysis is based on the outdated metaphor of the web as a network of links between static pages that could only be navigated by browsers. Today’s web is built around social streams and other APIs that are consumed via dynamic web applications, desktop clients, mobile apps, and even other web services, all of which render referrers obsolete as an attribution mechanism.

awe.sm was built for the modern web — a network of people, not pages — to track the results of Tweets, Likes, emails, and other sharing activities no matter what path they follow. So our system knows with certainty where each link was originally shared in addition to all the places where it was ultimately clicked (i.e. referrers). This approach gives us a unique set of data that demonstrates just how misleading referrer information can be.

And in the case of links shared on Twitter, it’s very misleading: the referral traffic one sees from Twitter.com is less than 25% of the traffic actually driven by Twitter.

Twitter is the perfect storm for referral traffic

We looked at awe.sm data from the first 6 months of 2011 spanning links to over 33,000 sites, and the numbers were astounding:

  • only 24.4% of clicks on links shared on Twitter had twitter.com in the referrer;
  • 62.6% of clicks on links shared on Twitter had no referrer information at all (i.e. they would show up as ‘Direct Traffic’ in Google Analytics);
  • and 13.0% of clicks on links shared on Twitter had another site as the referrer (e.g. facebook.com, linkedin.com).

We need better social plumbing for the social, liquid web. We need to measure the ripples spreading — a measure of flow through social networks — not the number of links in pages referencing other pages.

Analytics tools coming soon to Tumblr ⇢

lostremote:

“We’re working on tools to let publishers to track individual shared stories to see how they perform; we should have that available soon,” says Tumblr’s Mark Coatney.

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Web anthropologist, futurist, author. My focus is the future, and the tectonic forces pushing business, media, and society into an unclear and accelerating future. (More.)

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Socialogy

  • Brian Solis | Brian and I debunk big data, and Brian makes the case for empathy.

  • Deb Lavoy | Deb is dubious about management's inclinations, and says, 'Just because you are networked doesn’t mean it necessarily helps you understand, or realize your needs more effectively.'

  • John Hagel | John offers up some great insights, like the fact that passion is lower the larger that businesses get.

  • Euan Semple | A chat with my old pal, and the author of Organizations Don't Tweet, People Do

  • Will McInnes | The author of Culture Shock and managing director of Nixon/McInnes

  • Jennifer Magnolfi | An interview with the woman who said, 'Work is not a place you go, it's a thing you do'.

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  • What Drives Us? | A draft chapter of my book, discussing motivations, Maslow's hierarchy, and fluidarity.

  • Socialogy: Interview With John Hagel | I Speak with Joh Hagel about the innovation at the edge.

  • Complex organisation arises from webs of interaction among causal factors | So, it turns out that DNA is, in fact, a great metaphor for business culture, but only after you realize that DNA is not a few hundred off-on switches, but instead a universe of unknowable complexities, that we can interact with, and understand at some abstract cartoonish level, but not control, and never fully comprehend.

  • Bitcoin May Be the Global Economy’s Last Safe Haven | Paul Ford

  • Innovators Get Better With Age | Companies make a mistake by relying too much on the innoations of the young, because Nobel laureats don't come into their prime until their 50s.

  • Oldie

  • Infodemics | 2009 | Passing incomplete or inaccurate information about some risk event can make people take actions that increase the damage of the event itself.