Visible Measures: Video analytics service launched benchmarking and seeded vs. viral comparison




According to eMarketer's latest article social media measurement lags adoption among marketers which is quite sad considering the importance of social media in today's purchase or campaign funnel (see graph below). How a brand, service or product is portrayed in the social media space increasingly determines its overall success (e.g. Bruno launch) and can also be used as an early warning mechanism. And it's really not that hard, the amount of free tools and advice that is available online to help with social media measurement is staggering. Have a look at the list of tools below plus the top 4 questions to ask yourself and don't hesitate to email Chris at cbartens@datalicious.com if you would like some further advice on how to measure social media success.
eMarketer: Social Media Measurement Lags Adoption
http://www.emarketer.com/Article.aspx?R=1007286
Brand Overviews
Blog Search Tools
Buzz Tracking
Message Board Search Tools
Twitter Search Tools
For more tools and tips on social media measurement have a look at the below page.
http://measurementcamp.wikidot.com/tools-for-measurement Where is the content coming from and how is it harvested?
Is the online content simply aggregated blog and board data from a handful of sources or does your provider harvest the data themselves? Is technology gathering the data or is there a human element to ensure important or relevant content sources are included? What tools are being used and how large is the content reservoir of CGM data? Does this reservoir contain current or historical data, or both? How is the data cleaned and prepared?
How does your data provider clean and prepare the data for analysis? What rules are applied to systematically reduce irrelevant conversations (noise) and ensure relevance? For example, if you are interested in CGM insights on the telecommunications provider 'Orange', how do they ensure references to orange as a fruit or colour are excluded? How is the data organized or segmented?
Is the remaining content relevant to the business questions being asked? What are the base, volume and discussion sources being included for classification? How is the data being segmented so it contains the most pertinent consumer discussions around your specific area of interest?
How is the data being analysed and are actionable insights delivered?
How is the information actually being analysed? Is it purely done by automated technology or by human analysis, or both? If technologies and software provide the information, how does this technology manage to measure things like sentiment of a conversation accurately? Can technologies help you determine what the important topics are that lead volume or drive a particular sentiment? Is there a consulting service so that information and data can be transformed into insight? Check out the below page for the full article.
http://server-uk.imrworldwide.com/pdcimages/NielsenOnline_May_Newsletter08.html