Google Maps review analytics, sentiment and trends
Understand Google Maps review patterns, track sentiment and aspect shifts, and spot what changed before ratings slip across locations.
How to use this page
Use this page as a practical reference, then apply the ideas to your own operation and constraints.
Focus on one actionable change at a time and measure outcomes before moving to the next change.
Key Highlights
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Review aggregation
- Bring Google Maps reviews into a single view. Weekly review work feels like one task, not five.
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Sentiment analysis
- Each review gets a sentiment classification plus a trend view to spot when tone shifts.
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Aspect-based analysis
- Group feedback into aspects like service, value, and cleanliness to see which areas are drifting.
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Trend tracking
- Watch rating movement, topic shifts, and sentiment changes over time to stop guessing.
Common patterns on Google Maps
Service speed
Wait times and pacing show up quickly in recent reviews.
Value drift
Price perceptions change after menu or rate shifts.
Cleanliness spikes
Short bursts of cleanliness complaints are easy to spot.
What we extract from Google Maps reviews
Review aggregation
Bring Google Maps reviews into a single view. Weekly review work feels like one task.
Sentiment analysis
Classify sentiment per review, then track the trend over time. Spot shifts early.
Aspect analysis
Group feedback into service, value, cleanliness, location. See what's drifting.
Trend tracking
Watch rating movement and topic shifts. Answer "what changed this month?"
Google reviews are blunt
Stars go up or down, and you're left guessing why.
Reviato helps you read the pattern, not just the latest comment. You can track how sentiment, topics, and key aspects shift over time, then decide what to fix this week.
What it is not
Reviato is not a shared inbox for replying to reviews, a messaging platform, or a listings manager.
Frequently Asked Questions
Read the pattern, not just the latest comment
Track how sentiment, topics, and aspects shift over time.