The App Reviews report provides a window into what users are saying about your app, and your competitors’ apps, across both the Apple App Store and Google Play Store. Analyzing over 4 billion reviews from 58 countries, this AI-driven report provides key sentiment and topic analysis to help teams uncover user pain points, feature feedback, emerging issues and competitive opportunities.
What is the Value?
The App Reviews report enables you to:
- Understand the themes and sentiment behind user feedback for any analyzed app
- Benchmark review quality and responsiveness against competitors
- Identify trends, recurring pain points, and improvements needed
- Track the impact of product updates, releases, or marketing efforts on sentiment
- Explore the full text of user reviews—including competitors’—with translation, sentiment, and topic tagging
How to Use the Feature
The App Reviews report is designed to help you understand how users feel about any app, your own or competitors’, and uncover the themes, sentiment shifts and feedback trends behind their reviews. Below are the key metrics of the report and how each can be used:
Analyzed Reviews
Shows the number of written reviews that have been processed using Similarweb’s AI model. You can use it to:
- Understand how much user feedback is available for analysis
- Compare review volume across competitors
- Identify surges in reviews that may reflect product issues, launches, or marketing activity
- Quickly assess how representative the dataset is for the selected period
Average Review Rating
Displays the average star rating (1–5) for all written reviews. You can use it to:
- Gauge overall user satisfaction with the app
- Identify drops or improvements that may signal product issues or successful updates
- Benchmark rating quality across competitors
- Validate whether sentiment aligns with review star ratings
Reply Rate
Indicates the percentage of reviews that have received a response from the developer. You can use it to:
- Evaluate how actively an app’s team engages with user feedback
- Benchmark responsiveness across competitors
- Identify opportunities to improve customer communication or support
- Understand whether high engagement correlates with improved sentiment over time
Sentiment
Provides a breakdown of review sentiment across Positive, Negative, and Mixed categories, and how it changes over time. You can use it to:
- Understand the balance of user satisfaction vs. dissatisfaction
- See how sentiment shifts on a daily, weekly or monthly basis
- Benchmark sentiment distributions across competitors
- Identify spikes in negative reviews that may reflect product or service issues
- Spot sentiment spikes following app releases, outages or campaigns
Topics
AI categorizes reviews into predefined topics such as General Feedback, Pricing & Payments, Stability, UX and more. For each topic, you can see the number of analyzed reviews, average rating, sentiment breakdown and reply rate. You can use it to:
- Identify the main drivers behind user praise or frustration
- Surface product gaps, bugs, or recurring feature requests
- Compare topic-level performance against competitors
- Prioritize roadmap and UX improvements based on user-by-user evidence
Review Feed
Shows the complete text of all written reviews for any analyzed app. Each review includes sentiment, topic classification, star rating and language (with automatic translation into English). You can use it to:
- Explore the real life user comments driving sentiment and topic trends
- Understand user pain points or feature requests
- Examine competitor review content directly for messaging or product insights
- Understand the exact context behind negative or positive ratings
- Use keyword search feature to investigate issues, see how users describe specific product features and review the sentiment and topics of individual reviews
Where to Find It
- Go to the App Intelligence app
- Search for any app to open its profile
- Select App Reviews from the left-hand menu
- Use filters in the upper right to choose the country, time period, and apps for comparison
- Add up to four competitor apps to benchmark their reviews side by side
FAQs
- What are the 18 topic themes, and how are they assigned? Reviews are analyzed using an AI-powered natural language processing (NLP) model that extracts the main themes from the text to help you quickly identify and categorize the main drivers of user sentiment. The 18 predefined topic themes are: General Feedback, Advertising, Pricing & Payments, User Interface & UX, Update, Stability, Sign Up & Login, Privacy & Security, Notification & Alerts, Audio, Connectivity, Translation & Internationalization, Resource Usage, Uninstall and Device Compatibility.
- How far back are reviews analyzed? The Reviews feature includes 37 months of historical data (3 years), allowing you to analyze long-term trends.
- What is the breakdown of sentiment and how is it determined? Sentiment is determined using NLP and classified into four categories: Positive, Negative, or Mixed (when the sentiment can't be confidently determined from the text).
- Can I customize or create my own topics? No, topic themes are predefined to ensure consistency and enable meaningful benchmarking across apps.
- Can I analyze the reviews in all languages? Similarweb analyzes 4 billion reviews across numerous languages. Reviews are collected in their original languages and then automatically translated into English, allowing for consistent comparison across different apps.
- How much does this feature cost? The Reviews feature is available as a paid add-on to App Intelligence users for $15,000 annually.
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