Here is the next part of our series: The average Facebook page performance for March 2014. Like always we analyzed the most important Key Performance Indicators (KPIs) (number of fans, interaction rate, total number of interactions, People Talking About, PTAT rate, own posts, user posts and the number of likes, comments and shares) for six different page segments depending on the sizes of the explored pages (1-1,000 fans, 1,001 – 10,000 fans, …). Compared with the same month of the last year, the interaction rate of the three biggest page buckets was nearly the same in March 2014. On the other hand the three page buckets from 1 to 100k Fans had created a better interaction rate in March 2013. Also noteworthy, the average number of Facebook fans is continuously growing since we are publishing these infographics. While the average number of fans for Facebook pages of the size from 1 to 1000 fans in March 2013 was 329, it [...]

We all hear the discussions about Social Media ROI all the time, but in the end there is no standard answer to the question on the return of your social media activities. That’s why we want to show you a different approach of setting up your own formula for social media success. With the recent introduction of QQL we have laid the foundation for technically defining your own metrics. In this blog article we want to go a step further and help you to get the theory right behind that and to come up with your own formula that measures your success the best. We believe that there is no standardized success formula thats can be accurate, so going the individual path is definitely the preferred and recommended choice. What is success for you? When thinking about these things, the first question is the definition of success. What is success [...]

We just released another update to our Facebook Key Interacting Users feature which allows you to see the individual posts and comments of the according users in the ranking. With this new addition you cannot only see who is interacting the most with yours and other pages, you can also take a look at what exactly they published, to get a better understanding of how important these individuals are for your social media strategy.  Just click on the View interactions link next to a user and a popup will open with all the posts and comments.   In the popup you can see the content that the user has published on the page and with a click on View Post or View Comment you can jump directly to the conversation on Facebook.

It’s time again to check the average Facebook page performance. The February version of our recurring infographic is now available. This time we added the values of our infographic of February 2013 to enable you to compare some of the results. In our continuous series about the average Facebook page performance, we analyzed the month of February. As always we’ve measured the most important Key Performance Indicators (KPIs) (number of fans, interaction rate, total number of interactions, People Talking About, own posts, user posts and the number of likes, comments and shares) for six different page segments depending on the sizes of the explored pages (1-1,000 fans, 1,001 – 10,000 fans, …) Comparing the average Facebook page performance results of February 2014 with those of February 2013 we could easily see that the average number of Facebook fans for the differing page buckets is still rising. For example, in February 2013 the average number of fans [...]

Here at quintly we have gone through a lot of iterations on defining different metrics and helping our clients to integrate these in their overall social media strategy. And from what we know from our clients, it becomes more and more important to be able to adjust the metrics according to the specific needs. E.g. for one client the definition of our Interaction Rate is perfect, but another client may need different weights or even skip certain parts of the formula. This is why today we are launching the biggest and technically most challenging feature in our history, QQL. QQL stands for quintly query language and gives you the power to define your own metrics based on the quintly data pool. As you can hear from the name this is based on the SQL language, technically based on SQLite. You have not noticed it yet, but all the metrics that [...]