We use our behavior-based Customer Satisfaction Algorithm™ to gather customer reviews, comments and opinions across a wide range of social media sites to help you make an informed buying decision.
Finding Customer Reviews On Social Media
Our algorithm performs a wide-spectrum scan through all the most popular social media as well as blogs and websites to find customer reviews relevant to a specific product.
Customer Reviews Collection
The behavior-based system collects all reviews that discuss a selected product filtering out comments and posts that do not feature a customer’s opinion about the product.
Customer Reviews Processing
All gathered customer reviews are processed with a set of filters to extract key data from each review relevant to customer’s satisfaction including: detailed keywords analysis, social response signals and various meta data.
Analyzing Customer Reviews
Collected data about users’ experience with the product are thoroughly analyzed using an algorithm that evaluates each processed factor as either positive or negative response from the customer.
Final Score
After all partial data are analyzed and evaluated the system assigns a single customer satisfaction score to a product. It allows our users an easy and quick access to information on how many clients are satisfied with a product at the moment.
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