How does Kondado replicate RDStation data to BigQuery?

Kondado connects directly to the RDStation API to extract your marketing data and load it into BigQuery automatically. You configure which pipelines to replicate and set your preferred update frequency, with the platform handling all schema mapping and data type conversion.

What RDStation data can I replicate to BigQuery?

You can replicate 14 different pipelines from RDStation to BigQuery including Contacts, Emails, Forms, Landing pages, and Automation Flow Statistics with a total of 177 fields available. This covers lead information, campaign performance, conversion events, and custom contact fields for comprehensive marketing analysis.

How often does RDStation data update in BigQuery?

Kondado updates your BigQuery tables on a configurable schedule that you control, with options ranging from every 5 minutes to daily updates. This ensures your data warehouse contains current information for reporting without overwhelming your API limits.

What format does RDStation data take in BigQuery?

Each pipeline becomes a separate table in BigQuery with properly typed columns matching RDStation's data structure. The platform preserves timestamps, custom fields, and nested data as usable schemas for SQL analysis and reporting tools.

Can I combine RDStation data with other sources in BigQuery?

Yes, once your RDStation data resides in BigQuery , you can join it with data from other sources like CRM systems or e-commerce platforms. This enables unified reporting across your entire marketing and sales funnel using standard SQL joins.

Does Kondado offer pre-built dashboards for RDStation data?

Yes, Kondado provides ready-made report templates including the RD Station Marketing Power BI Report and RD Station Marketing Looker Studio Report. These templates connect directly to your BigQuery tables for immediate visualization of leads, conversions, and campaign performance.

How do I start analyzing RDStation data in BigQuery?

After replication begins, you can query your data using standard SQL in the BigQuery console or connect business intelligence tools like Power BI and Looker Studio to create visualizations. The data arrives ready for analysis without requiring additional transformation or cleaning steps.

Send data from RDStation to BigQuery

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Replicate RDStation Data to BigQuery Automatically

To send RDStation data to BigQuery, start by connecting your RDStation account as a data source in Kondado, then select BigQuery as your destination and choose which pipelines to replicate. The platform handles all data extraction and loading automatically on your preferred schedule, eliminating manual CSV exports and complex API configurations. Your marketing automation data flows directly into BigQuery tables ready for complex analysis and reporting without any engineering overhead.

Once configured, Kondado maintains your data warehouse current with automated updates, allowing analysts to build comprehensive reports combining lead generation metrics with other business data. This streamlined approach ensures your BigQuery environment always contains fresh RDStation information for timely decision-making.

Kondado connects RDStation to BigQuery, replicating 14 data pipelines including Contacts, Emails, Forms, and Landing pages with 177 fields on a configurable schedule ranging from every 5 minutes to daily updates.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With the Contacts and Contacts: Conversion Events pipelines, you can analyze lead behavior patterns and conversion journeys directly in BigQuery, joining this data with sales information to calculate true customer acquisition costs and lifetime value. The Email Campaign Statistics and Automation Flow Statistics pipelines enable detailed performance analysis of your marketing initiatives, allowing you to segment audiences based on engagement metrics and optimize campaign timing for maximum ROI. By replicating Landing pages and Forms data alongside Webhook Leads, you gain granular insights into which acquisition channels drive the highest quality leads, empowering data-driven decisions about budget allocation and content strategy refinement.

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RDStation data available for BigQuery

available pipelines

177

extractable fields

Available integrations

Integration	Description
Contacts	Includes fields such as uuid, email, and created_at, allowing tracking of each contact and their last conversion.
Contacts: Custom Fields	Presents custom fields such as custom_field_a, custom_field_b, and custom_field_c, allowing for customization of contact data.
Contacts: Conversion Events	Includes contact_uuid, event_type, and event_timestamp, providing insights into the conversions of contacts.
Contacts: Opportunity Events	Contains fields such as contact_uuid, event_type, and payload_funnel_name, detailing opportunities associated with contacts.
Contacts: Funnels	Presents contact_uuid, fit, and lifecycle_stage, allowing analysis of the stage of contacts in sales funnels.
Contacts: Tags	Includes information about tags associated with contacts, facilitating segmentation and organization of data.
Emails	Provides data on email campaigns, including delivery and open metrics, essential for performance analysis.
Marketing Asset Statistics	Presents metrics on the performance of marketing assets, such as clicks and conversions, allowing for effectiveness evaluation.
Email Campaign Statistics	Includes data on open rates, clicks, and conversions, essential for understanding the performance of email campaigns.
Automation Flow Statistics	Provides metrics on the effectiveness of automation flows, including interactions and conversions generated.
Forms	Captures lead information through fields such as email, name, and created_at, allowing for analysis of conversions and engagement.
Landing pages	Monitors performance metrics such as views, conversion rate, and leads generated, helping to optimize marketing campaigns.
Pop Ups	Records user interactions with pop-ups, including metrics such as impressions, clicks, and close rate, to assess effectiveness.
Webhook Leads	Collects lead data through webhooks, including fields such as email, name, and traffic source, facilitating data integration.

Contacts

Includes fields such as uuid, email, and created_at, allowing tracking of each contact and their last conversion.

Contacts: Custom Fields

Presents custom fields such as custom_field_a, custom_field_b, and custom_field_c, allowing for customization of contact data.

Contacts: Conversion Events

Includes contact_uuid, event_type, and event_timestamp, providing insights into the conversions of contacts.

Contacts: Opportunity Events

Contains fields such as contact_uuid, event_type, and payload_funnel_name, detailing opportunities associated with contacts.

Contacts: Funnels

Presents contact_uuid, fit, and lifecycle_stage, allowing analysis of the stage of contacts in sales funnels.

Contacts: Tags

Includes information about tags associated with contacts, facilitating segmentation and organization of data.

Emails

Provides data on email campaigns, including delivery and open metrics, essential for performance analysis.

Marketing Asset Statistics

Presents metrics on the performance of marketing assets, such as clicks and conversions, allowing for effectiveness evaluation.

Email Campaign Statistics

Includes data on open rates, clicks, and conversions, essential for understanding the performance of email campaigns.

Automation Flow Statistics

Provides metrics on the effectiveness of automation flows, including interactions and conversions generated.

Forms

Captures lead information through fields such as email, name, and created_at, allowing for analysis of conversions and engagement.

Landing pages

Monitors performance metrics such as views, conversion rate, and leads generated, helping to optimize marketing campaigns.

Pop Ups

Records user interactions with pop-ups, including metrics such as impressions, clicks, and close rate, to assess effectiveness.

Webhook Leads

Collects lead data through webhooks, including fields such as email, name, and traffic source, facilitating data integration.

See all available data →

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How to send RDStation data to BigQuery

Sync data automatically — no code, no manual exports.

Connect RDStation as Data Source

Authenticate your RDStation account in Kondado by providing your API credentials, granting the platform access to your marketing data including contacts, campaigns, and conversion events.

Configure BigQuery Destination

Set up BigQuery as your destination by specifying your Google Cloud project and dataset where Kondado will create tables for each RDStation pipeline you select.

Select Pipelines and Schedule

Choose which of the 14 available pipelines to replicate into BigQuery, such as Contacts or Email Campaign Statistics, and define your update frequency from every 5 minutes to daily for automated data synchronization.

Try out all the features for free for 14 days