From thousands of reviews to measurable data
RetailTune AI automatically analyzes reviews, questions and answers to turn thousands of text-based feedback into useful, measurable insights.
Topic trends, month by month
Sentiment analysis
Recognizes the positive, neutral or negative tone of content.
Topics and keywords
Identifies the most-mentioned topics, what customers appreciate and the areas to improve.
Trends over time
Monitors reputation trends for each individual store and at every level of the organization.
Automated monthly highlights
Delivers an instant summary of the entire network's performance.
Top positive trends
Highlights the most recurring positive mentions, such as friendly staff, wide product range and store cleanliness.
Negative critical points
Isolates the most frequent critical issues, such as wait times and out-of-stock products, so you can act quickly.
From customer feedback to concrete decisions
Data-driven decisions
Turns feedback into KPIs useful for marketing, product and retail strategies.
Improved Customer Experience
Identifies friction points in each store's customer journey.
Support for GEO and LLM strategy
Helps the brand understand which topics, services and attributes emerge most in local content, and which signals search engines and AI systems associate with its stores.
Customer loyalty
Encourages active listening and more effective management of recurring issues.
Operational efficiency
Reduces manual work through automatic categorization of large volumes of reviews.
Over 100 brands do Drive to Store with RetailTune AI