What is APPlyzer?
APPlyzer is an advanced app marketing platform that delivers comprehensive analytics for both Apple Search Ads (ASA) and App Store Optimization (ASO). The platform provides access to trusted app store data from millions of apps across over 150 countries, including full ASA auction results, competitor share of voice, organic keyword rankings, search volumes, download estimates, in-app events, and custom product page tracking.
The platform features an AI Research Companion powered by ChatGPT 5.2 that communicates directly with your workspace, allowing for conversational research on creative trends, keyword performance, metadata analysis, and competitor download performance. APPlyzer offers unlimited app tracking across all stores with no setup required, providing dynamic keyword relevancy scoring, competitor identification, and instant dashboard setup in under 30 seconds.
Features
- AI Research Companion: Powered by ChatGPT 5.2 for conversational research on creative trends and competitor analysis
- Full ASA Auction Data: Shows top 5 auction results for any keyword with placement position and competitor bidding information
- Unlimited App Tracking: Track unlimited apps across Apple App Store, Mac App Store, and Google Play Store with no restrictions
- Download Estimates: Over 30 months of download data for every app worldwide with seasonal trend analysis
- CPP Explorer: View competitor Custom Product Pages including creative assets and targeted keywords
- IAE Explorer: Analyze In-App-Events with themes, active dates, and creative/copy from competitors
- ASO/ASA Interplay: Comprehensive dashboards showing cannibalization risks and organic keyword support opportunities
- Ratings & Reviews Analysis: Uncover problems or positive trends in user feedback to improve app features
Use Cases
- Optimizing Apple Search Ads campaigns with auction position data
- Improving App Store Optimization through keyword and competitor analysis
- Researching creative strategies from successful apps for inspiration
- Monitoring market trends and seasonal download patterns
- Analyzing competitor Custom Product Pages and In-App-Events
- Identifying cannibalization risks between organic and paid campaigns
- Conducting conversational research on app marketing trends using AI
