Key Takeaways
- Businesses with 4+ star ratings see 32% more revenue growth
- Positive reviews can increase sales by up to 270%
- 68% revenue increase for businesses responding to reviews
- In 2023, 87% of consumers read online reviews for local businesses before visiting
- 94% of shoppers say a bad review has convinced them to avoid a business
- 79% of people trust online reviews as much as personal recommendations
- Google dominates with 64% of review reads
- Facebook reviews used by 51% of consumers
- Yelp accounts for 18% of local review traffic
- 62% of negative reviews are fake or incentivized
- Average review length is 68 words
- 84% of reviews with photos are trusted more
- Review volume expected to grow 25% by 2025
- 72% of businesses plan to invest more in reviews
- Mobile review writing up 40% since 2020
Responding to and boosting great reviews can sharply increase revenue, trust, and customer retention for local businesses.
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Platform Statistics
Platform Statistics Interpretation
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Trends and Future
Trends and Future Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Sutherland. (2026, February 13). Review Statistics. Gitnux. https://gitnux.org/review-statistics
David Sutherland. "Review Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/review-statistics.
David Sutherland. 2026. "Review Statistics." Gitnux. https://gitnux.org/review-statistics.
Sources & References
- Reference 1BRIGHTLOCALbrightlocal.com
brightlocal.com
- Reference 2REVIEWTRACKERSreviewtrackers.com
reviewtrackers.com
- Reference 3PODIUMpodium.com
podium.com
- Reference 4STATISTAstatista.com
statista.com
- Reference 5HARVARDharvard.edu
harvard.edu
- Reference 6TRUSTPILOTtrustpilot.com
trustpilot.com
- Reference 7G2g2.com
g2.com
- Reference 8BBBbbb.org
bbb.org
- Reference 9HEALTHGRADEShealthgrades.com
healthgrades.com
- Reference 10CAPTERRAcapterra.com
capterra.com
- Reference 11YELPyelp.com
yelp.com







