Red Bull shares all its content using a branded short
domain (win.gs) powered by Bitly. We used Datasift and Tableau to analyse every single click on a Red Bull link during September 2013.
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Where and when do people watch Red Bull content?
1. Where and when
do people watch
and read Red Bull
content?
5 things we learned using visual analytics.
2. Intro
Red Bull shares all its content using a branded short
domain (win.gs) powered by Bitly.
We used Datasift and Tableau to analyse every single
click on a Red Bull link during September 2013.
Here are the amazing things we discovered.
3. 1. Lots of people consume Red Bull content
These two line charts show clicks per day and
cumulative clicks for the whole month.
The most
popular day
was Sept. 23rd
with 97,755
clicks
In one month,
win.gs branded
shortlinks were
clicked on
1,255,133 times
4. 2. Red Bull is a drink company whose brand
is successfully marketed via lifestyle content
Is Red Bull a drink or lifestyle company? As the bubble
chart shows, they don’t talk about drink very much!
5. 3. Red Bull is a global brand
This map shows where all those clicks took place.
Clicks on mobile devices are orange and desktop clicks are blue.
This map shows 3 things:
1
There’s very little
activity in Africa
2
Brazil is by far the
most active country
3
Most views on mobile
devices are happening in
North America, Northern
Europe, Japan and Australia
6. 4. The Italians click in the afternoon
The Brits wait until the evening
This time series chart shows number of clicks by hour of day for Italy and the UK.
7. 5. The USA loves the Deftones
This treemap shows clicks in the USA. What can we see?
The Deftones generated the most clicks — 17,672.
More interesting is the sheer amount of articles being linked to:
1,892 different articles in just the USA!
8. Conclusion
Red Bull is a successful global brand.
We used Bitly, Datasift and Tableau to
make discoveries about the data.
Click link below to view an interactive picture of the data:
Why do so many people watch Red Bull Content?
9. About Tableau
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see and understand data.
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