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Pull Apple App Store reviews into Pilea automatically via AppFollow β€” structured, tagged, and ready to act on.

We've built this for
Product and mobile teams with iOS apps who want app store reviews analyzed alongside all their other customer feedback.
Quit anytime. Keep your data.

Your App Store reviews are some of the most honest feedback you'll ever get. Customers don't hold back when they're rating your app. But right now, that feedback probably lives in its own little silo β€” someone on the team checks it occasionally, maybe flags a few things, and the rest just sits there. This integration uses AppFollow as the connector between the App Store and Pilea. Once connected, every App Store review flows into Pilea automatically. Each review gets sentiment-tagged, linked to themes, and analyzed alongside feedback from all your other channels. That one-star review about slow load times? It gets clustered with the support tickets and Slack messages saying the same thing β€” so you see the real scope of the problem, not just a single angry review.

What you get.

  • Automatic review ingestion β€” new App Store reviews pulled into Pilea on a regular cadence via AppFollow
  • Sentiment analysis β€” every review tagged with sentiment so you can spot trends at a glance
  • Theme clustering β€” reviews grouped with related feedback from other channels
  • Star rating tracking β€” monitor how ratings shift over time and correlate with product changes

Do more with Agents.

Once your App Store reviews are flowing into Pilea, you can set up insight agents that watch for patterns and alert you automatically:

  • "Alert when 1-star reviews spike" β€” catch a bad release before it tanks your ratings, with the specific complaints clustered so you know exactly what broke
  • "Weekly digest of top review themes" β€” a summary of what App Store users are talking about, delivered to your team's Slack channel every Monday
  • "Notify me when reviews mention a competitor" β€” know the moment users start comparing you to someone else, so you can respond with positioning or product changes

The agents run in the background, so the signal finds you β€” you don't have to go scrolling through reviews.