Analytics that Transforms Comments into Data

Analyze the emotional tone of each comment with artificial intelligence. Automatically detect customer satisfaction, frustration, dissatisfaction, and other emotional states.

• Sentiment detection with 95% accuracy

• Measurement of sentiment intensity

• Sentiment trends over time

Automatically detect the most frequently mentioned topics in customer reviews. Analyze satisfaction levels across prominent topics such as service, food, cleanliness, and price.

• Automatic topic detection and classification

• Topic-based satisfaction analysis

• Comparative topic analysis with competitors

Analyze changes in customer satisfaction, number of reviews, and popular topics over time. Observe the impact of seasonality and special events.

• Daily, weekly, monthly trend tracking

• Identification of seasonal patterns

• Anomaly detection and alert system

Analyze how your business performs compared to competitors. Make comparisons based on satisfaction scores, review volume, and topics.

• Comparison with industry average

• Identification of competitive advantage/disadvantage

• Development of competitive strategies

Analyze reviews based on demographic factors such as age, gender, location, and preferences. Determine which customer segments are most satisfied or least satisfied.

• Age and gender-based analysis

• Location-based review distribution

• Satisfaction comparison by segments

Automatically calculate standard industry metrics such as Customer Satisfaction Index (CSI) and Net Promoter Score (NPS). Track your performance with a single index.

• Automatic NPS and CSI calculation

• Trend analysis of satisfaction scores

• Goal-based performance monitoring