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Turn customer reviews into clear, actionable sentiment insights.
ReputationStacker analyzes review sentiment beyond positive and negative labels to give you a roadmap to improve experience.
Understand what customers are really saying in their reviews.
ReputationStacker uses advanced natural language processing to convert review content into structured, meaningful insight your teams can act on right away.
ReputationStacker analyzes review language to identify sentiment trends across customer experiences, showing where they're improving, declining, or remaining consistent.
Instead of relying only on generic sentiment labels, the system categorizes feedback using customizable keywords and service categories that matter most to your business.
This approach transforms unstructured review text into quantified data, helping teams move from anecdotal feedback to measurable insights that support operational decisions.
Analyze sentiment trends by category, keyword, and theme.
ReputationStacker groups review sentiment into custom categories such as service quality, staff behavior, pricing, or responsiveness. This allows businesses to track how specific aspects of the customer experience are perceived over time.
By analyzing keywords and themes within reviews, sentiment trends become easy to interpret and prioritize. Teams can see which areas consistently perform well and which require attention, based on real customer language.
Compare sentiment consistently across locations and teams.
ReputationStacker applies the same sentiment categories and keyword analysis across every location, creating an apples-to-apples view of performance. This makes it easy to identify meaningful differences.
Because sentiment data is quantified, leadership teams can track improvements, share best practices, and measure the impact of operational changes. This ensures that customer experience metrics consistently meet the highest standards across the entire organization.
The average ReputationStacker user triples their review volume in the first 3 months.
Frequently Asked Questions
What is review sentiment analysis?
Review sentiment analysis uses natural language processing to understand the emotional tone and meaning behind customer reviews. ReputationStacker converts this feedback into structured data that highlights trends and patterns.
How is this different from basic positive or negative sentiment scoring?
ReputationStacker goes beyond simple sentiment labels by analyzing reviews using customizable categories and keywords. This provides deeper insight into specific parts of the customer experience rather than a single overall score.
Can sentiment analysis be customized for my business?
Yes. ReputationStacker allows businesses to define categories and keywords that reflect their services, priorities, and operational goals, making the insights more relevant and actionable.
How does this connect to location analytics?
Sentiment analysis feeds directly into location analytics by applying the same categories and keywords across all locations. This enables consistent, apples-to-apples comparisons between locations.
How does sentiment analysis help improve operations?
By turning qualitative review feedback into quantified data, ReputationStacker helps teams identify trends, prioritize improvements, and measure the impact of changes on customer experience over time.
Is sentiment analysis automated?
Yes. ReputationStacker continuously analyzes reviews as they are posted, automatically keeping sentiment insights up to date.
What if I have more questions?
Head over to our contact page and reach out. We typically respond within a few minutes.