---
title: "Review Analytics"
description: "Track review volume, sentiment trends, response rates, and rating breakdowns for all your locations in one analytics dashboard."
---

Review Analytics gives you a complete picture of how customers rate and talk about your business. Use it to track review volume, average ratings, response times, and AI-generated insights that help you act on feedback faster.

## Overview

The Review Analytics dashboard is found under **Reviews > Analytics** in the left sidebar. It consolidates your review data into a single view with:

- **Top-level metrics** for total reviews, average rating, and response time
- **Rating distribution** chart showing the breakdown by star rating
- **Latest reviews** feed with positive and negative filtering
- **Recommended actions** powered by AI, split into high-priority and general improvements
- **Critical flags** that surface reviews needing immediate attention
- **Keyword insights** that extract recurring themes from review text

All data is scoped to a selectable time period using the date range picker at the top of the page.

## Before you start

Before using Review Analytics, make sure:

- your Google Business Profiles are connected and syncing reviews
- reviews have been flowing in for the period you want to analyze
- your team is replying to reviews so response time metrics are meaningful

## How it works

### Top-level metrics

Three headline cards show the key numbers for the selected period:

| Metric | What it shows |
|--------|---------------|
| Total reviews | Number of new reviews received in the period |
| Average rating | Mean star rating across all reviews in the period |
| Response time | Average time your team takes to reply to reviews |

### Rating distribution

A donut chart breaks down reviews by star rating (5 stars through 1 star), showing both the count and percentage for each. Use this to quickly see whether sentiment is skewing positive or negative.

### Latest reviews

A feed of recent reviews with tabs to filter between **Positive** and **Negative**. Each review shows:

- Reviewer name and date
- Star rating
- Review text (truncated if long)
- Location name and address

This gives you a quick way to scan what customers are saying without leaving the analytics view.

### Recommended actions

AI analyzes your review data and generates two categories of suggestions:

- **High priority actions** surface urgent issues. These might include flagged patterns like suspected fake reviews, spam submissions, or unresolved customer complaints mentioned in reviews.
- **General improvements** suggest longer-term opportunities. These could include marketing campaigns based on positive themes, operational improvements based on recurring feedback, or follow-up actions for specific customer issues.

Recommended actions update as new reviews come in and patterns change.

### Critical flags

This section highlights reviews that need immediate attention during the selected period. When no critical reviews are found, it shows a confirmation that everything looks good. When critical reviews exist, they are surfaced here so your team can prioritize responses.

### Keyword insights

AI extracts recurring keywords and phrases from your reviews and organizes them into four tabs:

- **Strengths** highlights words associated with positive feedback
- **Issues** highlights words associated with negative feedback
- **General** shows commonly mentioned topics
- **Competitors** shows competitor names mentioned in reviews

Each keyword shows a count of how many reviews mention it. Use this to understand what customers consistently praise or complain about.

## Step-by-step

1. Navigate to **Reviews > Analytics** in the left sidebar.
2. Use the **Period** dropdown at the top to select your date range (last week, last month, or a custom range).
3. Review the top-level metrics to understand volume, rating, and response speed.
4. Check the **Rating distribution** chart for sentiment balance.
5. Browse **Latest reviews** and toggle between Positive and Negative tabs to read recent feedback.
6. Review **Recommended actions** and assign high-priority items to your team.
7. Check **Critical flags** for any reviews that need an immediate response.
8. Explore **Keyword insights** tabs to identify recurring themes in customer feedback.

## Tips and best practices

- Check Review Analytics weekly to stay on top of trends before small issues become patterns.
- Use the Recommended actions as a starting point for team meetings or weekly review check-ins.
- Pay attention to the Strengths tab in Keyword insights to identify what you should highlight in marketing.
- Track Response time over multiple periods to see whether your team is getting faster at replying.
- Combine Review Analytics with [Report Export](/docs/analytics/report-export/) when you need to share review performance with clients or stakeholders.

## Limits or edge cases

- Metrics only reflect reviews received during the selected time period, not your full review history.
- Response time is only calculated for reviews that have received a reply. Unanswered reviews are not included in the average.
- Keyword insights require a minimum volume of reviews to surface meaningful patterns. New or low-volume locations may show limited data.
- Recommended actions are AI-generated suggestions, not automated workflows. Your team still decides which actions to take.

## Common questions

**Q: How often does the data update?**

Review Analytics updates as new reviews sync from your connected Google Business Profiles. There may be a short delay between a review appearing on Google and showing up in the dashboard.

**Q: Can I see analytics for a single location?**

Yes. Use the location selector or navigate to the specific location's review section to see its individual analytics.

**Q: What counts as a critical flag?**

Critical flags typically include very negative reviews (1-2 stars), reviews mentioning serious issues, or patterns that suggest reputation risk. The AI evaluates severity based on content and rating.

**Q: How is Response time calculated?**

Response time measures the average hours between when a review is posted and when your team publishes a reply. Only reviews with replies are included in the calculation.