Analytics

Review Analytics & Insights: Turn Reviews into Intelligence

Your reviews contain valuable business intelligence. Learn how to extract actionable insights that improve operations, marketing, and customer experience.

Updated: November 202410 min read

Key Takeaways

  • Reviews are a goldmine of customer insights
  • Track more than just star rating—analyze content
  • Sentiment trends reveal problems before ratings drop
  • Compare your metrics to competitors
  • Use data to prioritize improvements

Why Review Analytics Matter

Most businesses look at their star rating and stop there. But reviews contain far richer information:

Customer Voice

Reviews are unfiltered customer feedback. Unlike surveys (where response rates are low), reviews come naturally from customers motivated to share.

Competitive Intelligence

Public competitor reviews reveal their strengths and weaknesses. Analyze what their customers love and hate.

Operational Insights

Recurring themes in reviews surface operational issues. If multiple reviews mention long waits, that's a process problem to fix.

Marketing Ammunition

Positive themes from reviews become marketing messages. When customers consistently praise something, promote it.

Key Metrics to Track

Overall Rating

Your average star rating—the headline number everyone sees. Track changes over time.

Review Count

Total number of reviews. Higher counts provide credibility and statistical significance.

Review Velocity

How many new reviews you receive per week/month. Velocity indicates momentum and recent activity.

Rating Distribution

Breakdown by star rating (% 5-star, 4-star, etc.). Understanding distribution reveals patterns.

Response Rate

Percentage of reviews you've responded to. Higher is better—aim for 100%.

Response Time

Average time between review posting and your response. Faster is better.

Sentiment Score

AI-derived measure of positive vs. negative sentiment in review text, independent of star rating.

Sentiment Analysis

Star ratings tell you what customers think. Sentiment analysis tells you why.

Beyond Star Ratings

A 3-star review might have positive sentiment about your product but negative about service. Sentiment analysis separates these.

Topic Categorization

Group sentiment by topic:

  • Service quality: Staff friendliness, professionalism
  • Product quality: What you sell or make
  • Value/pricing: Worth vs. cost
  • Wait times: Speed of service
  • Cleanliness: Physical environment
  • Convenience: Location, parking, hours

Keyword Extraction

What words appear most in positive vs. negative reviews? This reveals what customers value.

Staff Mentions

Track when specific employees are mentioned. Recognize top performers; coach those mentioned negatively.

Rating Trends

Is your rating trending up, down, or flat? Monthly averages reveal direction that overall rating masks.

Volume Trends

Are you getting more or fewer reviews over time? Declining volume might indicate customer engagement issues.

Sentiment Trends

Sentiment can shift before ratings do. A drop in sentiment is an early warning sign.

Seasonal Patterns

Some businesses see predictable seasonal variations. Understanding patterns helps you prepare.

Before/After Analysis

Made changes to your business? Compare reviews before and after to measure impact.

Competitive Intelligence from Reviews

Competitor Metrics

Track competitor review counts, ratings, and velocity. Know where you stand.

Competitor Strengths

What do competitor customers praise? These are areas where you need to compete.

Competitor Weaknesses

What do competitor customers complain about? These are opportunities for differentiation.

Market Positioning

How do customers describe competitors vs. you? Understanding perception guides positioning.

Emerging Competitors

New businesses gaining review velocity might be emerging threats. Monitor new entrants.

Taking Action on Review Data

Prioritize by Impact

Focus on issues that appear frequently and affect ratings. High-frequency negative themes are top priorities.

Create Feedback Loops

Share review insights with teams who can act:

  • Operations: Process and wait time issues
  • Training: Staff behavior feedback
  • Product: Quality and offering feedback
  • Marketing: Positioning and messaging insights

Track Improvement

After making changes, track whether related review themes improve. Close the loop.

Celebrate Wins

When data shows improvement, share with your team. Positive feedback motivates.

Set Goals

Use data to set specific, measurable goals:

  • "Increase review velocity to 10/month"
  • "Achieve 95% response rate"
  • "Improve wait time sentiment by 20%"
  • "Match competitor review count within 6 months"

Frequently Asked Questions

What's more important: rating or review count?

Both matter. For rankings, a higher volume of good reviews often beats fewer perfect reviews. For conversions, rating matters more. Aim to maximize both.

How do I calculate review velocity?

Review velocity = new reviews ÷ time period. Calculate weekly or monthly. Compare your velocity to competitors and track trends over time.

What review response rate should I target?

Aim for 100%. Responding to every review shows you value all feedback. At minimum, respond to all negative reviews and most positive ones.

Can review analytics predict problems?

Yes! Declining sentiment often precedes rating drops. Watching sentiment trends lets you address issues before they impact your overall rating.