How does Kondado replicate RDStation data to Redshift?

Kondado uses a direct integration to extract data from your RDStation account and load it into your Redshift cluster. You authenticate your RDStation credentials, provide your Redshift connection details, and select which pipelines to enable. The platform handles the data transfer on your configured schedule without requiring manual exports or maintenance.

What specific RDStation data can I replicate to Redshift?

You can replicate 14 different pipelines covering 177 fields, including Contacts with custom fields and tags, Conversion Events, Opportunity Events, Email campaigns, Automation Flows, Forms, Landing pages, and Pop Ups. This includes both standard contact properties and custom fields you have configured in your RDStation account.

How frequently does RDStation data update in Redshift?

Kondado updates your Redshift data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. You select the frequency during setup based on your reporting needs and can adjust it anytime as your requirements change.

Can I combine RDStation data with other marketing platforms in Redshift?

Yes, Kondado allows you to consolidate data from multiple sources into Redshift. You can replicate data from Google Sheets , BigQuery , or other marketing platforms alongside your RDStation data to create unified reports and cross-channel attribution analysis.

What format does RDStation data arrive in Redshift?

Each pipeline loads into Redshift as structured data with properly typed columns corresponding to RDStation fields. Contacts data includes fields like uuid and email as standard PostgreSQL data types, while event pipelines such as Contacts: Conversion Events contain timestamps and JSON payloads for detailed analysis.

Are there pre-built dashboards available for RDStation data?

Yes, Kondado offers 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 Redshift data, providing immediate visualizations of lead funnels, email performance, and conversion metrics without requiring you to build charts from scratch. You can also send data to Power BI or Looker Studio for custom reporting.

Do I need technical skills to send RDStation data to Redshift?

No coding is required to set up the connection. Kondado provides a no-code interface where you authenticate RDStation, enter your Redshift cluster details, and select pipelines through a visual menu. The platform manages schema creation and data type mapping automatically.

Send data from RDStation to Redshift

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Send RDStation Data to Redshift Automatically

Kondado provides a direct integration between RDStation and Amazon Redshift, allowing you to replicate your marketing data on a configurable schedule without writing code. Simply authenticate your RDStation account, configure your Redshift destination with your cluster credentials, and select the specific pipelines you need from the 14 available options. Your data flows automatically without manual CSV exports or complex API scripting, keeping your data warehouse current with every lead interaction, email campaign metric, and conversion event as it happens in your RDStation account. Marketing teams and data analysts gain immediate access to consolidated lead information for advanced analytics and reporting.

Kondado replicates RDStation data to Redshift through 14 available pipelines covering 177 fields, including Contacts, Emails, Forms, and Landing pages, with automated updates occurring every 5 minutes, 15 minutes, hourly, or daily based on your configuration.

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

Available RDStation Pipelines for Redshift

Once your data arrives in Redshift, you can analyze Contacts: Conversion Events to track the complete customer journey from first touch to qualified lead, identifying which channels drive the most valuable prospects. Combine Email Campaign Statistics with your sales data to calculate true ROI on marketing spend and optimize send times based on engagement patterns. Query Landing pages performance metrics alongside Webhook Leads data to optimize conversion funnels and attribution models. With all 177 fields available across 14 pipelines, you build comprehensive reports that connect marketing activities directly to revenue outcomes in your data warehouse.

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RDStation data available for Redshift

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 Redshift

Sync data automatically — no code, no manual exports.

Connect RDStation Account

Log into Kondado and add RDStation as a new data source by authenticating with your RDStation credentials to grant access to your marketing data.

Configure Redshift Destination

Enter your Amazon Redshift cluster connection details including host, database name, and credentials to establish the destination warehouse where your RDStation data will reside.

Select Pipelines and Schedule

Choose from the 14 available RDStation pipelines such as Contacts, Emails, or Landing pages, then set your preferred update frequency from 5 minutes to daily intervals.

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