App User Acquisition
AppFollow
AppFollow is an app reputation management and app store optimization platform centered on ratings, reviews, and user feedback. It collects reviews across supported stores, enables multilingual responses and workflow automation, applies semantic analysis and tagging, sends alerts and reports, connects with support and analytics tools, and provides ASO and competitor insights. It is best for product, support, and app marketing teams managing substantial review volume that need faster response operations and structured feedback analysis, while retaining human oversight for sensitive or unusual conversations.
What it does
AppFollow centralizes the review and rating side of app store optimization. It pulls user reviews and star ratings from the Apple App Store, Google Play, and other regional stores into one inbox, then layers on sentiment tagging, automated and AI-assisted reply workflows, and competitor benchmarking. Teams use it to respond to feedback at scale, route bugs and feature requests to the right owners, and watch how rating trends shift after a release or a price change. Alongside reputation management it tracks keyword rankings, featuring, and store presence, so product, support, and ASO teams share a single view of how users perceive an app and how that perception moves the conversion funnel.
Where it fits
AppFollow sits in the post-launch optimization loop, turning store reviews and ratings into structured feedback that informs ASO, support, and roadmap decisions.
Core features
- Unified review and rating inbox across Apple, Google Play, and regional stores
- Sentiment tagging and semantic analysis of incoming feedback
- Automated and templated reply workflows with team assignment
- Competitor rating, review, and featuring benchmarks
- Keyword ranking and store presence tracking for ASO
- Slack, Zendesk, and API integrations for support routing
Best for
- Support and community teams managing review volume at scale
- ASO managers correlating ratings with conversion and ranking
- Product teams mining reviews for bug and feature signals
Beginner notes
- Start by connecting your stores and setting up auto-tags for recurring themes like crashes or pricing before automating any replies.
- Reply speed and rating recovery are easier to influence than raw volume, so prioritize responding to fresh negative reviews after each release.
- Use competitor benchmarks for direction, not targets; review behavior varies widely by category and audience maturity.