Webinar: How to Use AI to Improve Mobile App Ratings
App ratings.
Driven by data.
Improved by AI.
A great app doesn't guarantee a great rating. Users judge the experience they had, not the effort behind it, and that gap between quality and perception shows up directly in the app store.
In this webinar, Etnetera Flow and Etnetera Activate will share how AI can identify intent and sentiment in user feedback, surface issues that would otherwise stay hidden, and help teams build a feedback loop that keeps ratings high over time.
The session is intended for: product owners, mobile leads, and anyone responsible for app store performance and user experience.




Ratings that reflect reality
A high rating comes from understanding what users actually experience and where the gap between expectation and reality shows up. We will show how to audit existing ratings, identify the root causes behind low scores, and build a structured process for collecting feedback across app stores and other platforms.
Feedback into action
Collecting reviews is only the first step. The harder part is turning scattered comments into a feedback loop that actually improves the product. We will discuss how to extract intent, sentiment, and recurring themes from user feedback, and how that insight feeds back into product decisions rather than sitting unused.
Where AI changes the equation
Manual review analysis does not scale once feedback volume grows. We will show how AI identifies sentiment and intent across large sets of reviews, surfaces issues that would otherwise stay hidden, and helps teams balance quantitative and qualitative data to act on what matters most.
Agenda
Ondřej Franek presents
- Why app ratings matter for brand perception and downloads
- Common causes behind low ratings and how to audit them
- Best practices for collecting feedback across platforms
- Building a feedback loop that connects reviews to product decisions
Martin Hoch presents
- How AI identifies intent and sentiment in user feedback
- Extracting keywords and patterns hidden in large volumes of reviews
- AI tools that turn feedback into actionable insight
Q&A Session