Social media analytics

Social media analytics gathers and interprets data created on social platforms, blogs and related digital channels. People use mobile devices to publish reactions, questions and experiences about organisations, products and services. Analysed responsibly, those conversations can reveal customer concerns, emerging needs and changes in brand perception.

When to use it

Social media is embedded in the daily lives of a large population, and public conversation can change quickly. Monitoring should therefore match the speed and risk of the business question rather than occur only during an annual review.

Large organisations may operate dedicated command centres, while smaller businesses can use a focused set of queries and reports. The relevant discipline is the same: connect what is observed with a decision or response.

Useful questions include:

• What are customers saying about the organisation, brand or product?
• Does the conversation indicate satisfaction or dissatisfaction with an interaction?
• Are people raising service problems that the organisation can resolve?
• Who is seeing and responding to the organisation’s own posts?
• Do follower, connection or like counts represent a relevant and engaged audience?

Origins

Social media analytics grew from web analytics, online community research, text mining and customer-listening practice as social platforms made large volumes of user-created content available for analysis. No single person invented the field. Its methods continue to evolve with platform access rules, privacy expectations and advances in language analysis.

What it is

Why it matters

Social media analytics can provide a near-real-time view of what customers and potential customers choose to say publicly. It is observational evidence, not a representative survey of an entire market, but it can be unusually timely and specific.

Insights may support revenue growth by exposing Unmet Need Analytics, reduce service cost by detecting recurring issues and protect reputation by enabling an early response. Product teams can also observe unprompted reactions to an offer. Unlike a moderated Focus Groups, where participants may soften criticism or try to please the facilitator, social posts can contain more spontaneous language. That candour may be useful, but it can also be exaggerated, coordinated or unrepresentative. The purpose is to create evidence for action, not to treat every post as truth.