Social Media Analytics Blog

Top 10 Social Media Analytics Features

When comparing different Social Media Analytics tools, it’s easy to get lost in the jungle of possibilities. For newcomers, it is especially hard to find out what the most essential features are in this type of tool. Which product offers exactly what I need? Which product might be enough for now, but not sufficient for a more in-depth-analysis some way down the road? What features are, in our opinion, highly underrated and might bring great value to users? To answer these questions, we took a look at what our customers consider vital in social media analytics and also thought about what experience tells us as a provider about important social media analytics features. (more…)

Clinton picking up pace on social media – but enough to beat Trump?

After Donald Trump managed to surpass Hillary Clinton in the polls in late May 2016, the tides have turned again. Latest data (July 4, 2016) shows the former secretary of state is 4.6% ahead of her republican competitor. At the same time, it has become a well known fact that Trump is clearly leading over Hillary Clinton when their social media statistics are compared. But does his declining popularity among voters also diminish his success on Twitter and Facebook? Let’s find out in our latest social media analysis of the US presidential elections with data from June 2016. (more…)

EURO ‘16 on social media: Emerging players to watch

Analyzed athletes gained 1.5 million fans in May

The following article analyzes 20 of UEFA’s 100 players to watch with less than three million fans on Facebook in May 2016. The social media performance of the individual players on Facebook could be an indicator of whom is supported by their community and it is also a good indicator of who gained a lot of attention in the last month. Attention could be the result for good performance and coverage in the media. In the end we try to detect players who seem to be on a steep rise, followers and interaction wise. Looking into the crystal ball, that could mean these players become increasingly controversial during the EURO ‘16, which perhaps reflects their performance. (more…)

[Infographic] – Average Facebook Page Performance February 2015

The average Facebook Page Performance Infographic for February 2015 is out now. To make our infographic relevant for every social media marketer we split our analysis in six different sized page groups.

We found out that the “Average Number of Facebook Fans” have become more stable, but still growing, compared to our analysis in September 2014. Through KPI’s such as Interaction rate and Number of User Posts we can see that the average user is more likely to engage with Facebook Fan pages compared to five months ago.

We split the infographic into a few sections showing different metrics ranging from pure fan numbers to posting behaviour and number of interactions:


  • Average Number of Facebook Fans
  • Likes, Comments and Share Distribution on own Facebook Posts
  • Interaction Rate
  • Avg. Number of Interactions per own post vs. People Talking About This
  • Number of Page Posts
  • Number of User Posts

How long will this trend continue? Let’s see what our analysis will show next month. Stay in touch with us on Twitter!


Current Status – Facebook Metric Change

Facebook changed its “Total Fan Count Metric” in the last days. We started analyzing the effect on Fanpages. We split our analysis in two size groups. First, pages with less than one million likes and those which have more than one million likes. Until today, the effect was that smaller pages lost on average 1.593%  of their fans beginning from the 12th March and big pages claimed a loss of 0.649%. The metric change might continue its effect on the like count, where we will provide the analysis on this blog. So, stay tuned!

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McDonald’s Growth Rate Outperforms Competition In Social Media Analysis Of “Big 5”

McDonald’s, Starbucks, Red Bull, Pepsi, and Oreo are all huge players in consumers’ everyday lives as well as in the Social Media world. For this reason, they were chosen for this analysis. By using this example we want to share the gathered data and provide insights on how big brands are acting in the social web.

First we want to look at channel-specific insights for each company, which allow us to gain a quantitative understanding of who are the strongest players are across the different Social Media channels. We are interested in creating a “Social Graph” that represents each company’s share of followers relatively to the followers of the other “Big 5” brands. The pie chart below shows the percentage of followers that each company has in relation to the total number of followers of the “big 5” across all four channels, whereby we analyzed the period from October 2014 until beginning of February 2015.

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