Brand Sentiment Monitoring

The first step is deciding what you want to learn. Are you launching something new, recovering from a service problem, comparing yourself with a competitor, or simply establishing a baseline? The goal shapes which sources and which questions matter. We then define the scope: brand names, product names, key people, sources such as reviews, social posts, news, blogs and forums, and the languages to cover. We collect public data using official tools and permitted methods, and combine it with your own sources where you can share them, such as survey responses, support tickets, chat transcripts and review exports, which often hold more candid sentiment than public posts. Next we set up classification. For each mention, we assign a sentiment score and a topic, for example delivery, pricing, quality, staff, app experience, trust or value. We test the tool’s accuracy by manually checking a sample and adjusting the rules for your industry, because a word that is negative in healthcare may be neutral in construction. A baseline report establishes where you stand today: the split of sentiment, the main topics, the sources that carry most weight and, if wanted, how you compare with two or three competitors. Ongoing reports then track change. They show movement over time with annotations for events such as campaigns, price changes, outages or press coverage, so that causes can be discussed rather than guessed. Each report ends with practical recommendations: topics to improve, messages to promote, issues to resolve and areas needing deeper research. We pay attention to context. Sentiment from a small number of vocal users should not be mistaken for the whole market, and a spike during a viral event may fade quickly. We also protect privacy by analysing public content in aggregate and avoiding profiling of individuals. We do not promise to raise sentiment by itself, since perception follows real customer experience, but we help you see what is driving it and whether your efforts are working.