Customer sentiment analysis tool for app reviews

See why sentiment changed after a release, which issues affect the most reviews, and whether the problem is limited to one version or market. AppFollow connects Semantic Tags, sentiment trends, and customer feedback so your team knows what to investigate next.

Sign up
Customer sentiment analysis in AppFollow: sentiment trend, top Semantic Tags and filters

Trusted by top companies and millions of apps

Go from a falling score
to the reviews behind it

App review sentiment analysis gives your team a way to investigate a change, not just watch a chart move.

  1. 1

    See the shift

    Track Sentiment Score over time and compare the current period with the previous one.

  2. 2

    Find the driver

    See which tagged issues are growing and how sentiment differs across crashes, login problems, subscriptions, and feature requests.

  3. 3

    Check the evidence

    Use AI Summary to understand recurring themes, then open the underlying reviews before deciding what needs attention.

Semantic Tags categorizing app reviews by topic in AppFollow

A semantic analysis tool built for app reviews

AppFollow automatically categorizes reviews with Semantic Tags. See how many customers mention an issue, what share of feedback it represents, and how sentiment differs across topics.

One review can contain several issues. AppFollow can assign multiple tags, helping your team see both a payment complaint and a login problem in the same feedback.

More on Semantic Tags
Semantic Charts: review volume, Sentiment Score, rating and tag share by topic

A customer sentiment analysis dashboard you can act on

Semantic Charts show review volume, Sentiment Score, average rating, and tag share. Add reply rate, average reply time, and Reply Effect to see how your team handles feedback on each topic.

  • Find the issues affecting the most reviewers.
  • See which topics have the lowest sentiment.
  • Check where responses need attention.
Phrase Analysis: common and trending phrases with rating and sentiment

App review text analysis, down to the phrase

Phrase Analysis shows common and trending words and phrases alongside their ratings and sentiment. Open matching reviews to understand what customers meant in context.

More on Phrase Analysis

Your sentiment dropped. What caused it?

See how AppFollow connects a change in the trend to tagged issues, topic-level metrics, and the reviews behind them.

Sign up
Demographic Analysis: sentiment and leading topics by country and region

Check feedback across versions and markets

Filter Semantic Analysis by app, time period, language, and app version. Explore sentiment and leading topics by country or region.

See whether complaints after a release are widespread or concentrated in a particular version or market. Bring product and support teams the same evidence for their next decision.

Semantic Insights in the Benchmark Report: Sentiment Score, bug-review share and top Semantic Tag by app

See how your app compares with competitors

Semantic Insights in the Benchmark Report show Sentiment Scores, the share of reviews about bugs, and the top Semantic Tag for selected apps. Compare your results with competitors and the category benchmark to find areas worth investigating.

Together, these views make AppFollow a customer sentiment analytics platform for teams working with app reviews at scale.

More on Competitor analysis

Find the issue behind the score

Turn app reviews into clear topics, sentiment trends, and evidence for your next product or support decision.

Sign up

What teams uncovered with AppFollow

  • Toca Boca

    Understand feedback at 75,000 reviews a month

    Toca Boca used Semantic Tags and AI summaries to identify what players were complaining about and refine its review workflows.

    Read the Toca Boca story →

  • Amanotes

    Find a monetization insight in review text

    Amanotes used Semantic Tags to isolate feedback about ads, subscriptions, and bugs. Reviews revealed that some users preferred a one-time purchase to remove ads over a VIP subscription.

    Read the Amanotes story →

  • Roku

    Monitor feedback on a specific feature

    Roku used custom auto-tags to spot changes in reviews about Private Listening and understand what customers were experiencing with the feature.

    Read the Roku story →

Frequently asked questions

Can I see the reviews behind an AI Summary?

Yes. Open the reviews used for the summary to check the original feedback and understand the context.

Can I track sentiment after an app update?

Yes. Select a time period and filter by app version to investigate feedback after a release. You can also compare the overall Sentiment Score with the previous period.

Can I analyze feedback by language or country?

Yes. Semantic Analysis supports language and device country filters, plus geographic views. Available country data depends on your app's connection and setup.

Can I compare my app with competitors?

Yes. The Benchmark Report compares selected apps on Sentiment Score, bug-review share, and top Semantic Tags.

How does AppFollow differ from general customer sentiment software?

AppFollow is built around app reviews. It connects recurring review topics with sentiment, version and market views, original feedback, reply metrics, and competitor benchmarks.

Does signing up give me access to the full Semantic Analysis dashboard?

The full Semantic Analysis toolkit is a paid add-on, and access depends on your plan and setup. Sign up to explore AppFollow, or book a demo to discuss the full dashboard.