Rhian Adams NewCan't skip a delivery, the button does nothing.Answer every app review and see what moved your rating.
Replies in your voice post straight to the App Store and Google Play. Angry reviews reach your support team with context, and topics built from your own reviews show what users keep raising.
- Replies published to the App Store and Google Play
- One-star reviews land in Zendesk, Slack or Teams
- Trustpilot, G2 and Product Hunt in the same feed
Reply to both stores in your voice
Reviewflowz learns your voice from the replies you have already published, including the ones written by hand before you had a tool, and answers each user in their own language. Match agents to topics and choose what posts on its own and what waits for your approval, and replies go straight to the App Store and Google Play. There is no charge per reply.
A five-star Google Play review answered automatically by a reply rule, published on Google Play.
Angry reviews land in your support queue
A one-star app review is a support ticket written in public. Send low ratings to Zendesk, Slack or Microsoft Teams with the language, sentiment and topic attached and an English translation under the original. Your team answers from there and the reply posts to the store. Nobody opens a second tool.
A reply to a Google Play review written from Slack and published on Google Play.
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14 day free trial with most features unlocked
See what is moving your rating
Your rating in each store is recorded every day, with the star histogram behind it. Written reviews are tracked apart, so ratings with no words move your score without skewing your sentiment. Topics come from your own reviews, so “skip button” gets its own line instead of vanishing into Bugs, and sentiment is scored on the sentence that mentions it.
Ask Claude: what drives our 1-star app reviews? Claude asks Reviewflowz and the report comes back on your phone, 1-star topics by negative mentions: Skip button 12, Logged out 9, Checkout hangs 6.
Your users review you in more places than two stores
Trustpilot, Google, Facebook, G2, Capterra, Product Hunt and the Chrome Web Store land in the same feed as the App Store and Google Play, translated and tagged on arrival. Reply from Reviewflowz on the platforms that allow it, and send it all to Power BI, to Claude through MCP, or to your own code through the API.
Missing one? We add it within 2 weeks, or your money back.
Connect both stores in five minutes
Add your App Store and Google Play listings, train a reply agent on your past replies and choose what posts on its own. No credit card needed.
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How is Reviewflowz different from AppFollow?
Their AI reply picks from tone presets; ours writes from the replies you have already published. Their topics come from a fixed tag list built for every app at once, with the better analysis on a higher tier; ours are derived from your own reviews. Their coverage stops at the stores, while your users are also on Trustpilot, Google, G2 and Capterra. And we do not meter replies.
Which app platforms do you cover?
App Store, Google Play, Huawei AppGallery, macOS App Store, Microsoft Store, and the Chrome, Edge and Firefox extension stores, plus Product Hunt and AppSumo. Alongside them: Trustpilot, Google, Facebook, G2, Capterra, TrustRadius and SourceForge.
Can Reviewflowz post replies to the stores automatically?
Yes. App Store and Google Play replies post directly from Reviewflowz, as do Trustpilot, Google and Facebook. Match agents to topics and choose what posts automatically and what goes to a person: answer the five stars on their own, hold anything under three for your team, or route those into Zendesk instead.
How does the sentiment analysis actually work?
An agent runs a TF-IDF pass over your reviews to find the terms that are distinctive to your app rather than common in the language, builds your topic tree from them, and scores sentiment on the specific sentence that mentioned each subtopic. Only reviews with text are analysed, and every extract is exportable with its score, topic, platform and date.
Do you have an API and an MCP server?
Both. The public API covers reviews, stats and exports with bearer tokens and OpenAPI documentation. The MCP server connects to Claude, ChatGPT or anything else that speaks MCP, over OAuth. It reads your reviews and, with your approval, tags them, assigns teammates to reviews and saves reports. It never posts a reply.