- How Semantic Clustering Helps Analyze Consumer Attitudes. The data generated by modern society are endless. This Harvard Business Review piece looks at one technique that might be useful in piecing together meaningful patterns:
Semantic clustering can help us better understand the extensive idea flow created by the web, help strategists understand how people are responding to changes, and take action based on it. People are constantly volunteering options, attitudes and ideas. Every day, in the English language, around a half million attitudes and opinions are offered up, voluntarily, in blogs and comment forums. Add in other social media (Twitter reports an average of 50 million posts a day) and that’s a huge reservoir for analyzing changing attitudes.
- 500 Million Stories. Facebook passes 500 million users.
- Bloggers Uniting to Help Restaurants Understand Insurance. An example of how blogs are being used to educate and reach out to clients.
- The Growing Risks of Social Media. This article hits on a number of topics related to social media’s opportunity and risks. It also mentions the need to review existing liability coverages to ensure that social-media-related risks are covered.
- Private healthcare provider launches Health365 online brand. This is a good example of how web-based videos can be used in marketing.
- The 3 S’s of Social Media in Insurance – Sense-Share-Serve. Great advice and real world examples of using social media in the insurance industry.
- The “Social” Insurance Factor: Will Your Rates Change Based On Your “Tweets”?. I’ve done some thinking out loud in the past about how insurance companies might one day use data gathered from social networks to set rates. This article offers several ideas as to how that might happen and also notes the inevitable challenges.