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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
VK Ads to Databricks

ETL VK Ads data to Databricks

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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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VK Ads is a leading digital advertising platform for reaching audiences across the VK ecosystem.
Renta Marketing ELT seamlessly connects VK Ads with Databricks, enabling automated, secure, and up-to-date data integration for advanced analytics.
Unlock actionable marketing insights and empower your team to make data-driven decisions faster and more efficiently.

Set up your ELT pipeline in 3 simple steps

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

Selecting VK Ads as the data source in Renta.
1Connect your source

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

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

Renta supports 7 methods of data export using the VK Ads API.

ads.getAccounts

Retrieves information about advertising accounts, including account IDs, types, status, and user roles. Essential for managing access and permissions within VK Ads.

ads.getCampaigns

Returns a list of advertising campaigns for a specified account, detailing campaign IDs, names, statuses, and budget settings. Useful for campaign-level analytics and management.

ads.getAds

Fetches detailed information about individual ads within campaigns, including creative data, targeting parameters, status, and associated campaign IDs.

ads.getAdStatistics

Provides performance metrics for ads, such as impressions, clicks, spend, and reach, over specified time periods. Supports granular analysis and reporting.

ads.getTargetGroups

Returns information on custom audiences (target groups) created for retargeting, including group IDs, names, and audience sizes.

ads.getDemographics

Delivers demographic breakdowns of ad performance, such as age, gender, and geography, enabling deeper audience insights.

ads.getBudget

Retrieves current budget and spend data for an advertising account, supporting financial tracking and budget optimization.

Use cases

Unlock actionable VK Ads insights

  • Unify VK Ads spend with sales data to measure true campaign ROI in Databricks.
  • Detect high-performing VK Ads creatives by analyzing engagement trends in real time.
  • Automate VK Ads audience retargeting using predictive models built in Databricks.
  • Correlate VK Ads leads with CRM conversions to optimize ad targeting strategies.
  • Visualize VK Ads performance alongside web analytics for holistic marketing insights.
  • Forecast VK Ads budget needs by modeling historical spend and conversion rates.
Start free trialNo credit card required
Use cases: VK Ads and Databricks integration
TEMPLATES

Start quickly with these use case templates

LinkedIn Ads
Google BigQuery

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Google Sheets
Snowflake

How to securely load data from Google Sheets to Snowflake

Facebook
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Implement Facebook Conversion API without any code

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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