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      Create secure customer’s data pipelines to any data warehouses

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      Stories on how to use customer data for company growth

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  • Product
    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

  • Pricing
  • Connectors
Log in
Contact sales
Sign up
Renta
Marketing ETL
Appmetrica to ClickHouse

ETL Appmetrica data to ClickHouse

Start free trial

Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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Appmetrica is a powerful mobile analytics platform trusted by top brands.
Renta Marketing ELT seamlessly moves your Appmetrica data to ClickHouse, giving you instant access to fresh insights for smarter marketing and product decisions.
Enjoy automated, secure data transfers and focus on driving growth, not manual data prep.

Set up your ELT pipeline in 3 simple steps

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

Selecting Appmetrica as the data source in Renta.
1Connect your source

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

Selecting Appmetrica as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the Appmetrica API

Renta supports 7 methods of data export using the Appmetrica API.

Applications

Retrieves metadata and configuration details for all mobile apps and web projects tracked in Appmetrica, including app IDs, names, and platform information.

Events

Provides access to raw and aggregated in-app event data, capturing user actions, custom events, and engagement metrics for detailed behavioral analysis.

Sessions

Returns session-level analytics, including session duration, start and end times, device information, and user identifiers for measuring app usage patterns.

Users

Delivers anonymized user profile data, such as unique user IDs, device attributes, and retention metrics, supporting cohort and segmentation analysis.

Revenue

Supplies monetization data, including in-app purchases, ad revenue, and transaction details, enabling comprehensive revenue tracking and attribution.

Attribution

Provides information on user acquisition sources, campaign performance, and attribution models, essential for marketing analytics and ROI measurement.

Push Notifications

Manages and tracks push notification campaigns, including delivery status, open rates, and targeting parameters for user engagement optimization.

Use cases

Unlock actionable Appmetrica insights

  • Track user cohorts and retention by campaign source for mobile apps in real time
  • Analyze in-app event funnels to optimize user onboarding and reduce churn
  • Correlate marketing spend with user LTV by integrating Appmetrica and ClickHouse data
  • Detect anomalies in app usage patterns with custom ClickHouse queries on Appmetrica logs
  • Build dashboards to monitor app installs, sessions, and revenue by region instantly
  • Segment users by behavior to trigger targeted push notifications and increase engagement
Start free trialNo credit card required
Use cases: Appmetrica and ClickHouse integration
TEMPLATES

Start quickly with these use case templates

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Google BigQuery

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Google Sheets
Snowflake

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Facebook
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Frequently asked questions
Reliable data ingestion for your Modern Data Stack

Free for 7 days. No credit card required.

Automate extraction from 100+ connections. 99.9% Uptime SLA.

Product
  • Marketing ETL
  • First-party data streaming
Popular connectors
  • Salesforce → Bigquery
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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  • How to load LinkedIn Ads data into Google BigQuery

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