In the first instalment of our three-part series on social big data, we looked at the different types of user data collected by each of the major social networks. We explained why marketers should consider these differences as they decide which social platforms are a better fit for their strategies.
But the reality of social media big data is that only a tiny fraction of its potential is currently being realised. In this follow-up report, we’ll dive into innovations in interrelated fields like artificial intelligence and image recognition, which are quickly changing the way social big data is mined for insights and used in emerging marketing applications. These include audience clustering and predictive targeting.