What is Social Listening?
Social Listening is computing popularity of a brand or company by extracting information from social media channels, such as blogs, news platform, forums, social networking sites like Facebook, Instagram etc. This is the way to caliber success of social media marketing strategies used by a company or a brand. And also used by companies to gauge current trends in the industry.
Here are TWO step process for discovering insights :
STEP 1 : Monitor from all social media channels which mentioned your brand and your products that related to your business and also monitor your competitors.
STEP 2 : Analyze the data from all social media channels like time spent on the page, click through rate, content share, comments, text analytics to identify positive or negative emotions about the brand.
Where can it be applied?
Monitoring social media allows researchers to find insights into a brand’s overall visibility on social media, to measure the impact of campaigns, to identify opportunities for engagement, to assess competitor activity and share of voice, and to detect impending crises.
It can also provide valuable information about emerging trends and what consumers and clients think about specific topics, brands or products. This is the work of a cross-section of groups that include market researchers, PR staff, marketing teams, social-engagement, and community staff, agencies and sales teams.
Companies to track what consumers say about their brands and actions. Companies can then react to these conversations and interact with consumers through social media platforms.
Apart from commercial applications, social media monitoring has become a pervasive technique applied by public organizations and governments. Monitoring is a tradition within the public sector, and social-media monitoring provides a real-time approach to detecting and responding to social developments. Governments have come to realize the need for strategies to cope with surprises from the rapid expansion of public issues.
THREE blocks of social-media opinion tracking, simulating and forecasting, it includes:
- Real-time detection of emotions, topics and opinions
- Information-flow modelling and agent-based simulation
- Modeling of opinion networks