SOCIAL MEDIA
People Are Talking About Your Brand. Are you Listening?
People are talking about your company, your brand, your products and services, and your competitors. People are talking about you on Twitter, Facebook and millions of millions of forums, blogs, message boards as well as on mainstream news sites. What they say about you is influencing what others think about you. What others think about you is determining their purchase behaviors and sense of loyalty. Are you listening? Are you incorporating the “cloud conversations” of your customers, prospects and influencers into your marketing research and decision making? With FGI, you can. And it all starts with Web Monitoring.
Listen, Learn and Leverage
Using multiple web crawlers (or spiders), our Web Monitoring platform locates and stores all the mentions and content related to your brand (and competitors) from millions of blogs, popular discussion boards, news and press release sites. Relevant data from the web crawlers is continuously indexed and stored in a massive database that is suitable for alerts, data mining, analysis and reporting. In addition, we use Natural Language Processing to determine the general sentiment of each mention. This gives you the ability to know how people “feel” about your brands, products and services.
Once the Web Monitoring builds the initial database, the learning begins. Opinions and sentiment can be tracked and analyzed by type of site (social media, blog, news, etc.), topic (brand, product, competitor, etc.), sub-topic (price, satisfaction, usage, etc.) geography, sentiment (positive, negative or neutral) and more. And endless variety of graphs, reports and data exports are possible.
As described in the Social Media Mining section, the rich data generated by Web Monitoring is used to improve your marketing research in a variety of powerful ways. Social Media Mining insights can help you discover new trends/issues/ideas, improve questionnaire designs, probe insights discovered during quantitative and qualitative studies, and track changes in opinions and sentiment over time.
