Data from online consumer reviews and social shares such as ‘Likes’, ‘Tweets’, ‘Favourites’ and ‘+1′s’ can provide great insights into customer sentiment and purchasing behaviour. These insights can be used to address immediate concerns, but can also be used to collaborate on sales forecasts, where items should be stocked, and when.
Some of our clients have indicated a need to understand what their clients are experiencing, how they perceive their products/services on a day-to-day basis, and the need to analyse this over time.
Our Twitter sentiment analysis software will help marketers and brand managers to gain insights about what is said about their brand, competitors or any chosen topic. Now in Beta, it already captures millions of Tweets a day and displays results in neat web visualisations. The insights can be used to see if brand messages reach their target audiences, to find new opportunities, or as early warning signals.
