By Timo Selvaraj
Measuring and understanding customer sentiments on an ongoing basis is a big challenge for organizations that have multiple products/services and want to hear how they are performing in the highly fragmented online world and offline stores. Combining unstructured customer sentiments with product sales data for correlation and projections is an even greater challenge with disparate sources of customer information constantly pouring in.
SearchBlox provides a wide range of options to gather the disparate sources of unstructured data and analyze including classifying the information into the positive and negative sentiments and pinpointing the feedback themes associated with each product for the specified time period. Analyzing customer sentiments is a cumbersome process due to the many tasks involved with collection, aggregation, classification and presentation of the information on a multi-faceted manner with the ability to drill down and pinpoint the causes/actions.
Whether your customer data is within Salesforce, Twitter, databases, csv files or pdf files, analyzing across multiple data sources is done quickly and efficiently with SearchBlox. Contact us to learn more about how you can setup a continuous process to analyze your customer sentiments and act on your feedback themes.