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About Review Analytics

Review Analytics is a review analysis software/platform from Review Analytics that helps find actionable insights about the products, services, and brand without the need to employ a data team. It combines AI Recommendations for automated insights, Sentiment Analysis, and keyword-based Alerts so businesses can monitor their competition effectively. Users can access automatically created recommendations ready to integrate into their product roadmaps and group results for comparative analysis. This tool enables organizations to understand customer feedback and sentiment towards their offerings. Key capabilities: AI-driven insights Sentiment analysis Competitor monitoring Result grouping Alerts based on keywords Best for: businesses that need to analyze customer reviews to inform product development and marketing strategies.

Review Analytics Details

Vendor
Review Analytics
Year Launched
2023
Location
Cary, North Carolina
Deployment
cloud
Training Options
Countries Served
All Countries
Languages
English, French, German, Spanish, Italian, Portuguese, Dutch, Japanese, Chinese, Korean
Users
Product Managers, Marketing Teams, Customer Service Teams, Brand Managers, Business Owners, Data Analysts, UX Researchers, Digital Strategists, Social Media Managers, E-commerce Managers
Industries Served
Retail, Hospitality, E-commerce, Software & Apps, Restaurants & Food Services, Travel & Tourism, Health & Wellness, Automotive, Real Estate, Financial Services
Tags
Reputation Management, Review Analytics

Review Analytics's In-App Market Place

Does Review Analytics have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), JPY (¥), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$)

Pros & Cons

  • AI Recommendations: Automates insights to streamline product strategy and decision-making.
  • Sentiment Analysis: Helps businesses understand customer emotions from reviews.
  • Advanced Reporting & Dashboard: Provides deep analytics for informed decision-making.
  • Near Real-Time Alerts: Monitors competitors and specific keywords for timely action.
  • Net Promoter Score (NPS) Tracking: Automatically measures customer loyalty over time.
  • Group Comparison: Allows benchmarking against competitors or across multiple products/services.
  • Historical Charting: Tracks changes in sentiment and reputation over time.
  • Potential Learning Curve: Advanced AI-driven analytics may require training for optimal use.
  • Platform Dependency: Works best within its own ecosystem, requiring integration efforts.
  • Limited Mention of Customization: No clear indication of flexibility in report tailoring.

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