Have you had a look at your Twitter Analytics on the go using your Twitter for iPhone or Twitter for Android app? It provides you with a summary of your tweet performance. Other results are sometimes available even when there are no retweet, reply or favorite activity shown publicly for your tweet.
The percentage of daily Pinterest users that consult it for purchasing guidance while in a store is estimated at 52%. With this trend in mind, how should you deploy Pinterest as a part of your social media strategy? How could you measure success leading to positive return?. Here are 10 steps for Pinterest ROI to help you do just that!
It was about time that Pinterest delivered a solid analytics package for business users and finally we have it. Now businesses can track how their pins perform and in addition see what users are pinning from the web site.
LinkedIn regular updates will show that you are up to date and relevant. Making comments and starting discussions in LinkedIn groups will show that you can network and guide group debate.
LinkedIn is the world’s largest professional network with over 250 million members in over 200 countries and territories around the globe. It is seen as essential for most professionals as a networking platform, or for recruitment. If you look a little deeper, LinkedIn provides us with many ways to measure our networking reach and the results of our efforts in groups and on brand pages.
Correlation Is Not Causation
Interpreting Social Data: Delight, don’t aggravate consumers with your ‘insights’
Posted by: Pete Holley, TBG’s Head of Research
As the data revolution takes hold, marketers are getting more interested in concepts like correlation in order to interpret consumer buying behaviour. However, as Pete Holley, TBG’s Head of Research, explains, correlation and causality is not the same thing. Marketers need to be careful when drawing inferences from Social Data.
Correlation is a measure of the association between two (or more) things. It’s quantified using correlation co-efficients. A correlation of 1 means there’s a perfect straight-line relationship between your two variables, so that if one increases, the other increases by the same amount:
“Ultimately, the only way to predict future events is to study how known past events manifested. The grey area between correlation and causation may not matter as much if you can prove that event A is usually followed by event B. You will never be right 100 percent of the time, but then again, what predictions are? The problem with Social Data is also a problem for “big data”: A lack of context can easily skew results. Thoughtful analysis can tell us a lot, but only if context asks the right questions. Brands that do this well will delight consumers, but those that get it wrong will aggravate them. For everyone’s sake, it’s critical to stay on the right side of the Delight-Aggravate continuum”