Archive for the ‘data’ tag
Announcing ‘Plugged In To Gnip’ partnership
We’re excited to announce that we are Plugged In To Gnip with Gnip’s official partnership program! Gnip makes it possible for us to provide our customers with tools built on the full firehoses of both Twitter and Tumblr data. This ensures we have top quality data so you never miss a tweet or a post.
In addition to full-fidelity firehose access to Tumblr for our new Union Metrics for Tumblr engagement analytics and to Twitter for real-time tracking with TweetReach Pro, this also includes the ability to reach all the way back to 2006 with our new TweetReach Historical Analytics, through which we can access any tweets from the entire Twitter archive. You can learn more about how we use Gnip’s Historical PowerTrack for Twitter in our case study with them.
What else does this partnership mean? It means a number of things, but what’s most important to you – our valued customers – is that all our social analytics products are built on the highest quality, most comprehensive and reliable social data. We are committed to bringing you the data that you need to be successful with social media and our partnership with Gnip helps make that possible; full coverage, high-quality data is at the heart of all our analytics solutions.
We’re proud to be Plugged In To Gnip, and we’re working hard to bring you new and amazing things all the time. Check back often!
This Week in Social Analytics #15
Hello again from This Week in Social Analytics, our ongoing summary of some of our favorite posts from the week in the world of measurement, analytics and social media. Enjoy!
You just shared a link. How long will people pay attention?
According to an analysis of 1000 bit.ly links, the half life of a link on Twitter — the amount of time a link will receive half of the clicks it will ever receive after its reached its peak — is 2.8 hours. Facebook links are marginally better at 3.2 hours. To deal with this, some sites such as Search Engine Land have moved to doing “second chance tweets”, retweeting the same link a few hours after the original, and are seeing about 50% more traffic from Twitter on these tweets as from the original ones.
The Myth of the “Data-Driven” Business
Eric Peterson at Web Analytics Demystified wonders if over-analysis and automated decision making from data will cause “data-driven” organizations to be doomed to fail. Should businesses be “informed” by data rather than “driven” by it, or is all of this just a semantics argument?
Social Media Metrics: How Am I Doing?
Heidi Cohen presents a simple, but powerful outline that ties business goals to the related social media metrics and provides some tips on how to measure results.