Text Analysis

Story.ly is the next generation of customer satisfaction analysis. As a hybrid methodology, it quantifies the qualitative insights from consumer generated content. story.ly reduces complexity in rich datasets by automatically extracting meaning from text – in virtually any language. Data from different sources can be used, such as customer service feedback, online forums or regular customer satisfaction interviews via phone or online forms. Newly added: Gather product reviews from product shopping/review sites. story.ly is used by well-known companies such as Gruner + Jahr, A1 Telekom, infas Institute and IP Germany for many years.

By using story.ly text analysis software your customer reviews analysis gets fast, simple and effective. You will gain valuable insights for your process of product development or optimization. story.ly directly gathers your reviews including filter variables from seller platforms. Within seconds you see the story in your smart online report. The data cleaning interface is intuitive for everybody. Compatible to most current platforms.

Customer Satisfaction is a valuable input for getting feedback to your products and services. SmartMunk enables you to increase customer loyalty. story.ly analyses these data within it’s unique techniques and gives you insights in beautiful reports. The dashboard view gives an easy and condensed access to the most important analysis views. All views are split into positive and negative texts and changes over time can be viewed from a timeline. Filters can be applied to reduce the views to cases you want to have a look at.