Data. Insights. Conversions. These three words are thrown around quite a bit in the digital world, regardless of the industry. And the reason for their popularity is fairly obvious. The insights we derive from proper data analysis steer us towards ways of achieving increased conversions. A slightly less obvious observation, however, is the kind of data we use to reach these conversions…
When it comes to online user feedback, there’s a lot to be said about quantitative data (e.g. metrics such as Net Promoter Score, Customer Effort Score, & Customer Satisfaction) but still little is known about the qualitative side (e.g. open answers), or the ‘unstructured data’. While metrics such as NPS can easily be measured and displayed in charts or an Excel sheet, qualitative data isn’t quite as straightforward if you don’t have the means to analyse it. Enter Text Analytics.
https://mopinion.com/what-is-text-analytics-benefits/
In today’s fast-paced world, a person’s opinion about a product, service or individual is unpredictable and changing constantly, yet companies can use this unpredictability for their own benefit.
Sentiment analysis is an extremely useful tool to monitor the public opinion of certain topics across social media, like stock market trends or political campaign announcements. By analyzing text—such as posts and reviews uploaded by users on different platforms—sentiment analysis helps businesses understand the social sentiment of a brand, product or service.
https://www.adweek.com/digital/how-unpredictability-can-work-with-us-exploring-sentiment-analysis-tools/
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