This app provides visual analytics for your app store data, transforming raw information into actionable insights. It offers a comprehensive dashboard, transaction details, and historical data to help you make informed decisions. Leverage the power of your data with intuitive visualizations and easy-to-use filters.
1.1.11
January 4, 2026
• optimization & bugfixes • iOS26 adaptation
Unlimited MTR & Unlock All Features
$149.99
Almighty Lifetime
Unlimited MTR, unlock all features & updates
Please contact us at support@invoodoo.com we will help to setup.
AS Lytx is a visual analytics tool that uses the App Store Connect API to help developers understand their app data. It transforms raw data into easy-to-understand visualizations for better decision-making.
AS Lytx requires App Store Connect API Key credentials, which are stored securely in your device's Keychain and synced via iCloud. The app connects directly to App Store Connect to ensure your credentials remain safe.
You can view a comprehensive snapshot of all your apps on a dashboard, see today's data and transactions, and access essential details about app transactions, including country and platform. It also provides historical user and transaction data.
AS Lytx offers several subscription plans, including the Demigod Subscription Package at $3.99/month, InVooDoo One at $5.99/month, and the Almighty Subscription Package at $7.99/month.
Yes, subscriptions can be managed by the user. Auto-renewal can be turned off by going to your Account Settings after purchase. The subscription automatically renews unless turned off at least 24 hours before the current period ends.
AS Lytx is available on Mac, iPhone, and iPad, allowing you to access your app analytics across your Apple ecosystem.
The latest version of AS Lytx is 1.1.11, and it was last updated on January 4, 2026. This indicates a commitment to ongoing development and improvements.
AS Lytx has a rating of 3.0 stars from 4 ratings. This suggests that while some users find value in the app, there may be room for improvement based on user feedback.
