Social media data mining has changed leaps and bounds from what it was considered a decade ago. Take, for instance, Facebook advertisements to know exactly what type of shoes or dress you are looking for? Or for that matter, your favorite café launches a promotion for your favorite meal.
Boost Business ROI with Social Media
Social media data mining has changed leaps and bounds from what it was considered a decade ago.
Take for instance, Face book advertisements know exactly what type of shoes or dress you are looking
for? Or for that matter, your favorite café launches a promotion for your favorite meal.
As platforms like Face book, Twitter, Instagram, etc. permeate our daily lives, growth-focused business
players are leveraging these huge amounts of data generated to gain a competitive advantage in the
industry. This consequently ushers them into the age of social media data mining. Let’s begin with
understanding what data mining in social media is.
Social Media Data Mining – The New Business Imperative
As the name suggests, data from social media platforms is collected and analyzed to predict patterns
and forecast trends. Facebook, Twitter, Instagram, Snapchat, etc. use algorithms to track as well as
organize likes, clicks, page views, and other user interactions. This collective data is then applied to
inform marketing and research processes. Mentioned here are some of the significant use cases of
social media data mining:
The insights derived from social media data mining allows businesses in identifying influencers—or users
which have a strong presence in terms of follower bases and engagement rates on social platforms.
Leveraging influencer marketing enables companies to bring attention to their services/products since
they can help in driving hits and clicks via a previously untapped sales channel.
Targeted advertising and optimized campaigns on social media platforms are skyrocketing since
businesses figure out better ways to locate and address certain audiences. Digital marketers can use
different data mining techniques to figure out what is the best time to run a specific ad on a particular
digital platform. Also, they can find out which messages are most e