At MeaningCloud, we know how important unstructured data is for Voice of the Customer Analysis; so we’ve defined a model that will allow you to characterize any feedback, focusing on the retail domain, in detail that you receive from your customers.
Our experience in Voice of the Customer Analysis has shown us that to obtain useful results when consolidating or reorienting a business strategy the detection of peculiarities of a specific domain is vital, as much in a linguistic way as a conceptual way, taking into account the identifying characteristics of the brand to be analyzed. For this reason, we have not only developed an analysis model focused on the retail trade, but we have also adapted analytical tools towards the sale of groceries, personal care and homecare in the retail sector.
Voc Retail: 8 dimensions and 70 categories
Similarly to the generic Voice of the Customer model, we have defined several dimensions that characterize different aspects of the feedback customers in the retail domain may refer to.
This dimension refers to the channel of contact mentioned in the text analyzed.
This dimension refers to the retail companies mentioned in the text.
This dimension refers to specific conditions of the operative.
It refers to mentions of different aspects of the customer service in the text.
This dimension refers to the global satisfaction expressed by the customers. In previous versions it, was expressed through the Polarity dimension.
This dimension refers to the possible retail product types that may appear in the text.
This dimension refers to quality aspects.
This dimension refers to the possible shipping issues that may appear in the text to analyze.