Mobile App Review Classifier: Analyse App Store and Google Play Reviews
Flags the technical and product issues in App Store and Google Play reviews separately so you catch complaints after a release quickly.
Examples
Result
The result will appear here.
Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.
Labels
The model scores the probability of each label below for every text. You can extend the label set for your needs or use it with labels made entirely for you.
- Crash / freeze
- The app crashing, freezing or not opening.
- Login and account
- Login, verification codes and account access.
- Payment
- In-app payments and billing.
- Performance
- Slowness, battery or data usage.
- Usability
- Design, navigation and ease of use.
- Notifications
- Notifications and too many messages.
- Missing feature
- A requested feature the app lacks.
- Post-update issue
- Something that broke or got worse after an update.
- Customer support
- Customer service and support.
Where is it used?
Examples of how teams use this model in their daily work.
- 01
Release quality tracking
Watch crash and "broke after the update" reviews after every release and roll back a bad build fast.
- 02
Product roadmap
Count missing-feature requests and decide what goes into the next sprint with data.
- 03
Store rating optimisation
Find the topics pulling down your App Store and Google Play rating and set reply and fix priorities.
- 04
Routing to support
Separate login, payment and account issues automatically and route them to the right team.
Use this model in your own system
Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].
Frequently asked questions
- Is this tool free?
- Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
- Which languages does it support?
- It understands multilingual text, Turkish and English first; results are shown in your interface language.
- Is my text stored?
- No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
- Can I analyse in bulk?
- The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.
Other tools
All tools- E-commerce Review ClassifierDelivery, packaging, size and return issues
- Mobile Game Review ClassifierGameplay, balance, ads, in-app purchases
- Software Feedback ClassifierEase of use, features, bugs, pricing
- Online Course Review ClassifierInstructor, content, level, certificate
- Restaurant and Hotel Review ClassifierFood, service, cleanliness, rooms
- Banking Feedback ClassifierMobile banking, cards, fees, loans
- Automotive Feedback ClassifierPerformance, comfort, fuel, service
- Mobile Network Feedback ClassifierCoverage, data speed, billing, tariffs
Want to analyse thousands of reviews automatically?
BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.
Request a demo