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SOCIAL MEDIA
DATA ANALYTICS
A foundation for advanced, effective
digital marketing.
What is social media data?
• Social media data collects information from
social networks sites like Twitter, Facebook,
Instagram which show how users share, view
or engage with their content or profiles.
• For instance, Twitter or Instagram collects
data such as no of likes, mentions,
impressions, what hashtags are most used,
what all URL get most clicks, keyword
analysis, new followers, comments, etc.
• All these numbers, percentages and statistics
provide actionable insights concerning their
social media strategy.
About social media data
How brands use and analyse social
media data?
• Once social media data is collected, the social
networking sites use it to see what is and isn’t
working.
• Brands are gathering data around the clock.
• Every time someone likes a post on social media
engaging some brand, that’s a data point for the
companies.
• Social media data is the raw source that
companies get when they analyze the users of
social networks.
• This data collected, then is used for social media analytics
to make sense of all that raw information.
Why various businesses use social
media data?
• Various businesses take advantage of social media
information for their own advantage. For instance,
they use it for their own in-house needs, and
sometimes offer their analyses as a service.
• One such business using social media data is IBM, a
business that has taken to social media metrics very
rapidly. The company has blogs and tools used to
leverage social media. IBM offers ‘social
merchandising’ for retail and consumer products
using Twitter data, but is working to provide market
insights for these areas, as well as for media and
entertainment.
Academic approach to Social media
data analytics
• Academia uses social media data to promote and
share findings and research, similarly to how any
other organization might promote itself publicly.
• Also, for academia, social media has become
essential for research. It would focus more on the
inherent knowledge gained from the data, rather
than commercial gains.
• The time and work put into academic research
projects are not free. Time is essentially money, and
it also costs money to pay talented workers to help
design and implement a big data project.
• One source of this money comes through grants,
and many social media platforms offer grants to
keep academics involved.
• For example, Twitter has offered grants before,
especially because of the significant insights the
research offers, like where influenza is likely to
strike.
THANK YOU!