loader

Satisfaction Analysis

The text mining techniques allows to capture and understand people thoughts, opinions and preferences on social networks and web with respect to a certain discussed topic.

In particular, by means of the Satisfaction Analysis it is possible to deeply analyse the real satisfaction of many clients (or potential ones) with respect to certain brands or specific products. This way people opinions are translated to quantitative information that generate useful business insights.

Project Details

Category: Satisfaction Analysis
Sector: Fashion
Period of analysis: 3 Months
Total analysed mentions: 760
Sources: Facebook

The General View shows the estimated aggregate percentage of satisfaction for each level on the whole period of analysis.

The satisfaction rate varies from 1 to 4, where 1 indicates “No satisfaction” while 4 states “High satisfaction”.

The Weekly View instead allows to see how the satisfaction levels vary with time, revealing possible interesting trends.

It is usually of interest to analyse deeper the different paths using a qualitative peak-and-trough analysis. This specific analysis helps to reveal the underlying reasons related to high or low satisfaction of your clients.

OUR ANALYSIS

Recent Analysis