Decode your customer's verbatim in a few clicks
Use Cases and Deployment Scope
Verbatim data from customers is a critical aspect that companies tend to ignore due to the sheer volume and complexity of analysing it and deriving outcomes from it. Gavagai is one such powerful tool that helps you in analysing the voice of your customer. It supports about 47 languages and the Machine Learning has been strongly coded to help you derive meaningful insights. The quantum of data for B2C business tends to be huge and that's where Gavagai simplifies it to analyse it. I have used it in my current and previous organisation and it has been a very helpful tool in understanding the pain points that my customers express through VOCs.
Pros
- Simplifies text data.
- Lets you customise your dashboard.
- Sentiment analysis
- Supports 47+ languages
Cons
- Auto generated filters based on the data uploaded.
- Adding more Indian regional languages.
- Competitive pricing
Most Important Features
- Their customer support
- Ease of using the tool
- Saving time and man hours by not analysing text data manually.
Return on Investment
- Helps save man hours.
- Reduces the effort required to analyse big data.
- Helps to act upon areas of improvement faster.
- Indicates the strengths or things that are particularly liked by your customers.
Alternatives Considered
Zonka Feedback and Alchemer (formerly SurveyGizmo)
