ETL Appmetrica Logs API data to SQL Server

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Appmetrica Logs API is a robust tool for collecting detailed mobile analytics data.
Renta Marketing ELT seamlessly transfers your Appmetrica event logs to SQL Server, empowering your team with always up-to-date insights for advanced marketing and product analytics.
Enjoy automated, secure, and hassle-free data integration tailored for data-driven teams.

Set up your ELT pipeline in 3 simple steps

Select Appmetrica Logs API as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Appmetrica Logs API as the data source in Renta.

1Connect your source

Select Appmetrica Logs API as your data source and securely authenticate your account to initiate the data extraction process.

2Identify the destination

3Configure and synchronize

The data structure of the Appmetrica Logs API API

Renta supports 6 methods of data export using the Appmetrica Logs API API.

Export Events

Retrieves raw event-level data generated by user interactions within your app, including event names, timestamps, device information, and custom parameters.

Export Installs

Provides detailed records of app installs, including install time, device identifiers, attribution source, and campaign data.

Export Sessions

Delivers session-level data, capturing session start and end times, session duration, user identifiers, and device context.

Export Users

Returns aggregated user profile information, such as user IDs, device characteristics, app version, and geographic data.

Export Revenue

Extracts monetization events, including in-app purchases and revenue details, with associated user and transaction metadata.

Export Crashes

Provides detailed crash reports, including error messages, stack traces, device information, and app version at the time of the crash.

Use cases

Unlock actionable Appmetrica Logs API insights

Track user retention trends by merging Appmetrica logs with product usage data in SQL Server
Identify high-value user cohorts by analyzing in-app events alongside purchase history
Automate churn prediction by integrating session logs with customer profiles in SQL Server
Monitor campaign ROI by linking Appmetrica attribution data to sales transactions
Detect app performance issues by correlating error logs with user engagement metrics
Optimize push notifications by analyzing open rates and user actions across segments