Turns customer feedback into clear, actionable insights, enabling you to make informed decisions without guesswork.

Why Sentiment Analysis Matters

Sentiment analysis helps you understand how customers truly feel about your brand at scale. Instead of reading every review manually, you get a clear, data-driven view of customer sentiment, trends, and recurring issues, allowing you to act faster and smarter.

Sentiment Analysis with Reviewshake’s AI-Powered System

Reviewshake uses AI to automatically analyze customer reviews and classify them as positive, neutral, or negative. This gives you instant visibility into overall sentiment, performance by location or source, and changes over time.

What You Can See in Sentiment Analysis

1. Overall Sentiment Score: A quick snapshot of customer satisfaction based on analyzed reviews.
   
   
   
   

2. Sentiment Distribution: A breakdown of positive, neutral, and negative feedback so you can easily gauge balance.
   
   
   
   
   

3. Sentiment Trends: Track sentiment changes over time to spot improvements, declines, or seasonal patterns.
   
   
   
   

4. Sentiment by Source & Location: Compare performance across review platforms and business locations.
   
   
   
   
   

5. Keyword & Topic Insights: Word clouds highlight frequently mentioned terms, helping uncover common praise or pain points.
   
   
   
   

How You Can Customize Sentiment Analysis

• Date Range Filters – Focus on specific time periods or campaigns
• Source Filters – Compare platforms like Google, Facebook, and more
• Location Filters – Analyze individual branches or regions
• Keyword Selection – Drill into specific topics such as service, pricing, or wait times