“Where there is data smoke, there is business fire!”
- Thomas Redman
Social data is extremely valuable to brand marketers and insights leaders looking for real-time consumer insights like interests, actions, likes, and dislikes that can provide invaluable behavioral and predictive data patterns, which may improve brand reputation, avert a crisis, identify trends, or increase sales. There are many types of social data, including tweets from Twitter, posts on Facebook, captions on Tiktok, posts on LinkedIn, and reviews on Yelp and other forums.
From identifying trends, consumer sentiment, and share of voice, to evaluating social engagement and community growth, the opportunities for leveraging social media listening & analytics to develop your brand & insights strategy, are tremendous.
While there are a lot of data points that social data can offer, the biggest challenge is what to look for. It’s not a one-size-fits-all approach when it comes to social data. Looking at it in the context of real business goals and aligning your KPIs and social channels accordingly can help track your progress efficiently and find areas where you might need to improve.
This is why we are partnering with Darryl Praill from Agorapulse, Jeff Lutz from Hart, Brooke Sellas from B Squared Media, and Vincent Corbo from Digimind, to discuss the role of social data, the challenges it comes with, what to look for, and how to look for the relevant data from within this huge data set.