Social Media Analytics Blog

How To Integrate quintly with Google BigQuery and Tableau

We know that for many of our clients, analyzing social media data is only one of their challenges and that there are many more data buckets out there that they need to consider to achieve their overall digital marketing goals. Thus combining all these data points into one consistent story is what will lead you in the right direction in the end. (more…)

Brands are diversifying their social network presence

Last week I gave a talk at the AllFacebook Marketing Conference in Berlin about how brands are using the different social networks and where they are present. This blog post is a summary of the findings we gathered. As we have a lot of data at quintly about how brands and users in general analyze their social media profiles we have a very good base for looking at some general underlying trends we see across our whole user base. (more…)

Launching Read-Only Users

A lot of our clients have the need to set up more granular user rights, especially when they want to bring people on board who should get access to all the interesting numbers but not being able to change everything inside the account. Therefore we are launching read-only users today.

Read-only users are regular quintly users with a few extra limitations. For example they cannot make any changes to the profiles and groups associated with the account. Also they cannot change any dashboards shared with them through another user in the system. But to give them the flexibility to configure their own metrics, they can still have their own private dashboards and make updates and adjustments to them. (more…)

Response Rates By Facebook Pages kept growing through 2014 [Update]

In May 2014 we analyzed the response rates by Facebook pages and could show that the average response rate grew from 37.4% in January 2013 to 42.4% in April 2014. As some more months have passed we want to check if that rise continued and if page owners were able to improve on their customer service level.

This time we took a sample set of about 91k Facebook pages with more than 1,000 likes/fans and analyzed a total of 18.6 million questions that have been created by users. The response rate is defined by the share of questions in form of user posts that were answered by the specific pages within 14 days after the questions have been posted.

Facebook Response Rate Development

The following chart shows the development of the response rate from January 1, 2013 to January 4, 2015.

Instagram Fake Follower Removal

As you can see the trend continued throughout 2014 and the growth was even a bit higher compared to the old period that we analyzed last year. At the end of December 2014 about 45.4% of all questions have been answered and we are getting closer to the magical 50% mark.


It is great to see that brands and page owners continued to improve their response rates in 2014. Do you think the 50% mark will be crossed in 2015?

Instagram fake follower removal decreases numbers by up to 18%

Earlier this month Instagram did a big clean up in order to remove fake followers from a majority of the profiles. To get a better sense how the follower numbers have been affected, we analyzed the numbers before and after the process for a sample set of 3,500 profiles and came to the following results.

Instagram Fake Follower Removal

As you can see profiles with more than 1,000,000 followers have suffered the most with an average decline of about 18%. Also the smallest bucket with profiles between 0 and 1,000 followers saw a similar decrease of about 14%. The medium sized profiles seem not to be affected too much with deductions between 1.9 and 4.4%.

Does that fit with what you are seeing for your own profiles?

Launching Feed Analytics To Analyze Blogs And Websites

In the last two days we have been at dmexco in Cologne and used that chance to present our newest product release. On top of the six networks you are already used to, we are now adding competitive feed analytics to our offering. With this feature extension we want to close the gap between measuring social media performance on the networks themselves and the social interactions happening on your blogs and websites. Nowadays nearly all blogs and websites have integrated social buttons like the Facebook Like/Share button or the Twitter Tweet button. We want to use this information to show you which articles work best and how you can improve them for maximum engagement. As you know it from all the other networks within our tool, you will not only be able to track your own blogs and websites, but also compare against competitors. Beside the social interaction numbers we will also give you access to some general Alexa stats. That way you can easily compare the rank, reach and backlinks of the different properties.

Getting Started: How To Add Your First Blog or Website

To get started, you just need to go to the “Manage Profiles” section and click on the “Add Profile” button. In the dialog, just enter the URL of the blog/website you would like to add. Please note that it is a necessity that the website has set the RSS feed information in its meta tags, so that we can find the actual feed endpoint. Otherwise you can also directly provide the exact feed URL. The RSS feed behind the site is basically our source to see which articles we can analyze for you. Every feed will then be handled as a separate profile within our tool.


Deepening Social Content Analysis With Competitive Click Tracking

Today we are adding a new layer of depth to our Facebook post analyses by introducing competitive click tracking. With this new feature we scan all published brand posts for links that use the most common URL shorteners (,, and check how many clicks they got. Beside the already existing interactions as likes, comments and shares, this allows you to get a more direct impression of the success of a certain post. The completely new thing here is that you cannot only take a look at these numbers for your own profiles but also for any other public Facebook page out there, meaning you can compare your own post click through rates with your competitors.


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