What do your customers think about your new product, plan, or service? What about the ideas you’ve yet to roll out onto the market? How about the items that have only entered into select testing markets? The answers to all of those questions are vitally important to any business. However, the methods used to garner solid data tend to be tenuous at best. It’s often a markedly different thing than the solid numbers which can come from actual sales data. This is in large part because people’s feelings, their sentiments, are difficult to properly reduce to singular metrics. And this is unfortunate given the extreme importance that data holds. Knowing exactly how a market feels allows for agile marketing and deployment in the most ideal ways.
However, there are ways to shape people’s feedback into sold, well-defined, data. This comes about through various types of sentiment analysis software. The exact nature of the software and usage scenarios can differ on a case-by-case basis. Analysis can be done on customers or to create insights into the larger market. But you can also use sentiment analysis software internally to gauge and guide employee productivity.
The use case scenarios and techniques involved with sentiment analysis can differ but one fact holds true between them all. Sentiment analysis takes fuzzy data and turns it into the kind of solid metrics you can rely on. And with that data you can properly judge A/B testing, the results of different strategies, and more.
