Simply Measured is a Seattle based start-up that is changing the way you view analytics. You can follow @simplymeasured to get free analytics reports on various social channels like Facebook, Twitter, and Instagram. The company raised $8 million in January to continue to expand their vision of beautiful, useful, and easy to use reports. On their website there are over a dozen free reports. Here are just a few:
The LinkedIn reports is marked as “Coming Soon” and I can’t wait to see what they come up with. In order to try out the service I put in my twitter handle @mikekennewick and they did the rest. Here are the results of the report:
With the free twitter report I can see:
- Top Keywords Within Follower’ Profile Descriptions
- Total Followers
- Followers Top Time Zones
- Followers by Time Zone
- Followers by # of Followers
- Followers by Date of Last Tweet
- Users by # of Followers
- Users by Total Tweets
They also have a really easy way to export to excel and powerpoint. Here is a screenshot of the raw data for followers list:
You can download my Excel and PowerPoint exports here:
Although there are may companies doing analytics on social media one thing that I think is especially well done by Simply Measured is the visualization and easy conversion to the office suite.
I have been working on Speech Recognition and Natural Language Processing technologies for over 12 years. Hence, it was natural for me to look for social media tools that are related to these fields to share with everyone. Without too much research I decided to choose a company called Lexalytics, a leader in applying NLP to a variety of problems on the web. While there is no public signup available they do have a web demo at the following location: http://www.lexalytics.com/web-demo. The demo takes text and performs sentiment analysis. The idea is to get a measure of the authors overall attitude in their post. Additionally it is often useful to understand attitudes towards specific entities in the text. There are all kinds of applications such as understanding how your customer base feels about a new product release or social campaign to better understanding your friends reaction to a news story. You can read more on Wikipedia if you are interested: http://en.wikipedia.org/wiki/Sentiment_analysis.
In order to run the demo I needed some content so I went to the Entre 528 blog page and took the most recent post. Wix: Quickly build your personal brand – thanks Mohamad for the data. I pasted the data in and hit process text. It appears that the overall sentiment is positive with a score of .354. I believe this indicates that the post is moderately positive overall. Knowing Mohamad this isn’t surprising.
Below is a breakdown of specific entities, themes and topics that were present in the post. This section is more interesting because it allows us to see Mohamad’s sentiment towards specific things as well as overarching themes.
The benefit from a single document is minimal but imagine that this could be applied to all relevant data such as blogs, tweets or Facebook posts. You could instantly know how your customers feel simply by extracting it from their discussions with others.
Natural language processing has been around for decades but recently is gaining significant momentum because of massive amounts of available data and the processing power to deal with it. The NLP community has benefited greatly from the BigData revolution. There is no question that text processing approaches will play a vital role in social media analytics moving forward. There is just too much data for individuals and companies to deal with and we will need to rely on text processing and machine learning algorithms to do it for us. I’ll be on the look out for any other tools and will post if I find anything worthwhile.
A couple of months ago I was at the Bellevue Square Apple store to pick up some overly expensive accessories for my macbook pro. While browsing around looking for a thunderbolt cable, I recognized someone in the store. I couldn’t quite but my finger on it but there was something about his glasses. After a few minutes it hit me. It was Ben Huh, CEO of iCanHasCheezburger. The reason he looked familiar is I had just watched him on TV the night before in a reality show called LOLWork. I decided it would be weird to say, “hey I saw you on TV last night” so I finished my shopping and went on with my day.
iCanHasCheezburger is built on and contributing to social media. The company uses elaborate integration into the social web for several main purposes:
- Drive users to one of their sites
- Facilitate viral sharing
- Encourage users to contribute content
- Reduce costs by utilizing YouTube for streaming video delivery
The company’s mission is to make the world happy for 5 minutes per day. It is working. Cheezburger has over 350M visitors a month to its 50 sites, over 500K likes on face book and nearly 200K followers on twitter. This company knows how to leverage social media.
Cheezburger has chosen to create and manage multiple brands such as lolcats, animal gifs, and I can has hotdog. Each of these sub-brands has its own social media carefully designed to interleave and promote the Cheezburger brand. For example, @thelolcats on twitter has over 5K followers.
Cheezburger is one of Seattle’s most interesting companies. In 2011 they raise 30M in venture funding to continue to spread their vision. The company has come a long way since posting funny pictures of cats and are slowly becoming the nerve center for the viral web. I highly recommend checking them out.