Merge branch 'ADP-5307' into develop

Author: titerman

src/content/docs/guides/analytics/how-adapty-analytics-works.mdx

@@ -32,37 +32,45 @@ You can enable [Adapty User Acquisition](adapty-user-acquisition) to leverage da
 
 Likewise, you can [export](analytics-integration) analytics data to third-party platforms or a [private server](webhook), and analyze data from Adapty on a different platform.
 
+## Data processing
+
+Adapty offers close to real-time analytics, which enables users to quickly react to changes in key metrics. 
+
+- For store events, the processing delay is 15 to 30 minutes long. 
+- Data from third-party sources is almost always updated in real time, although the exact delay depends on the platform and its infrastructure at the moment.
+
 ## Differences between Adapty Analytics and store analytics
 
 - **Data variety**
 
-        Stores can only display first-party data.
+        Stores can only display their own data, and cannot access user behavior inside the app.
 
-        Adapty can combine data from multiple stores, as well as additional sources — marketing platforms and ad networks.
+        Adapty can combine data from multiple stores, as well as additional sources — marketing platforms and ad networks. The Adapty SDK tracks user interactions with paywalls and onboardings.
 
 - **Update frequency**
 
-        App stores usually updates their data once a day, which can limit your ability to make real-time decisions.
+        App stores usually update their data once a day, which can limit your ability to make real-time decisions.
 
-        Adapty offers close to real-time analytics that allow you to accurately track key performance metrics as they change. For most sources, the processing delay is only 15 to 30 minutes long.
+        Adapty offers [close to real-time](#data-processing) analytics.
 
 - **Advanced metrics**
 
         App stores display basic metrics such as downloads, revenue, and retention rates. 
 
         In addition to basic metrics, Adapty calculates advanced metrics (recurring revenue, average revenue per user, etc.), and has dedicated analysis functions for unwanted user behavior (churn, billing issues).
 
-- **Data depth**
+- **Predictions**
 
-        Stores do not have access to user behavior metrics. 
+        Adapty uses advanced machine learning algorithms to [predict future LTV and revenue](predicted-ltv-and-revenue).
+    
+## Tax and commission logic
 
-        Adapty uses the SDK to analyze user interactions with paywalls and onboardings.
+When you view revenue-related charts, Adapty gives you the option to choose between **Gross revenue**, **Revenue after commissions**, and **Revenue after commissions and taxes**. 
 
+Adapty retrieves commission and tax rates directly from [App Store](https://developer.apple.com/help/app-store-connect/making-payments-to-apple/understanding-taxes/) and [Google Play](https://support.google.com/googleplay/android-developer/answer/138000) to account for reduced rate programs and the diversity of applicable deductions across different countries.
 
-- **Predictions**
+These include the Small Business Program (15% commission), reduced rates for long-term subscriptions (15% after one year of continuous renewal), country-specific rates (such as 26% in Japan), and standard rates (up to 30%). For detailed information on how Adapty calculates store commission fees, please refer to the corresponding documentation for [App Store](app-store-small-business-program) and [Play Store.](google-reduced-service-fee)
 
-        Adapty uses advanced machine learning algorithms to [predict future LTV and revenue](predicted-ltv-and-revenue).
-    
 ## Troubleshooting
 
 :::link