From RDStation to PostgreSQL: managed, scheduled, no code.
Creating a pipeline that sends data from RDStation to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from RDStation to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from RDStation data and combining it with other data in your PostgreSQL database
Kondado provides a direct integration that replicates your RDStation marketing data to PostgreSQL without writing a single line of code. Simply authenticate your RDStation account, configure your PostgreSQL destination, and select which pipelines you want to replicate from the available 14 options covering contacts, campaigns, and conversions. The platform handles the data extraction and loading automatically on your chosen schedule, whether every 5 minutes, hourly, or daily. Your marketing metrics, lead information, and campaign statistics flow directly into your PostgreSQL database, ready for complex SQL queries, custom analytics, and advanced business intelligence workflows that help you optimize campaigns and demonstrate clear ROI.
Kondado replicates 14 RDStation pipelines including Contacts, Emails, Forms, and Landing pages to PostgreSQL on a configurable schedule, delivering 177 fields of marketing data for SQL analysis and business intelligence.
Replicate the Contacts and Contacts: Conversion Events pipelines to track lead behavior and conversion timestamps directly in your PostgreSQL database. Marketing teams can join this RDStation data with transactional records from other sources to calculate true customer acquisition costs, while analysts can query the Email Campaign Statistics and Landing pages pipelines to build custom attribution models. With all 177 fields available in PostgreSQL, you can create sophisticated SQL queries that correlate marketing touchpoints with revenue outcomes, enabling precise ROI calculations and funnel optimization strategies.
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Replicated to PostgreSQL
RDStation data available for PostgreSQL
Tables Kondado writes into your PostgreSQL, on a schedule you control.
14
available pipelines
177
extractable fields
PostgreSQL
Destination
Available integrations
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.
Sync data automatically — no code, no manual exports.
1
Connect RDStation Account
Authenticate your RDStation data source using OAuth credentials to grant Kondado access to your marketing data, leads, and campaign statistics.
2
Configure PostgreSQL Destination
Enter your PostgreSQL connection details including host, database name, and credentials to establish the destination for your replicated data.
3
Select Pipelines and Schedule
Choose which RDStation pipelines to replicate, such as Contacts or Email Campaign Statistics, and set your preferred update frequency from 5 minutes to daily intervals.
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Answers about sending RDStation data to PostgreSQL automatically
How does the RDStation to PostgreSQL pipeline work?▼
Kondado connects directly to your RDStation account using OAuth authentication to extract marketing data. The platform automatically replicates your selected pipelines, such as Contacts and Email Campaign Statistics, to your PostgreSQL database on a schedule you configure. Each pipeline becomes a distinct dataset in PostgreSQL containing normalized fields ready for SQL analysis.
What specific RDStation data can I replicate to PostgreSQL?▼
You can replicate 14 different pipelines including Contacts with conversion events, Email campaign performance, Landing page statistics, Automation flows, and Webhook leads. Each pipeline delivers specific fields such as contact UUIDs, funnel stages, email open rates, and form submission timestamps directly into your PostgreSQL instance.
How frequently does RDStation data update in PostgreSQL?▼
Kondado updates your PostgreSQL database on a configurable schedule that you control, with options ranging from every 5 minutes to daily or weekly intervals. This near-real-time replication ensures your marketing analytics reflect recent lead activity and campaign performance without manual exports.
Can I combine RDStation marketing data with other platforms in PostgreSQL?▼
Yes, Kondado enables you to replicate data from 80+ sources into the same PostgreSQL database, allowing you to join RDStation leads with CRM records, e-commerce transactions, or advertising data. This unified approach supports comprehensive customer journey analysis and multi-touch attribution modeling across your entire tech stack.
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 PostgreSQL data to visualize lead funnels, email performance, and conversion metrics without requiring you to build charts from scratch.
Can I visualize RDStation data from PostgreSQL in BI tools?▼
Absolutely, you can connect your PostgreSQL database containing RDStation data to Power BI, Looker Studio, or Google Sheets for automated reporting. Kondado keeps these connections refreshed automatically, ensuring your dashboards display current lead generation and campaign statistics.
How is RDStation data organized within PostgreSQL?▼
Each RDStation pipeline creates a structured dataset in PostgreSQL with standardized column names and data types, such as datetime fields for conversion timestamps and numeric fields for campaign metrics. The 177 available fields maintain consistent relationships between contacts, events, and marketing assets, enabling complex SQL joins and aggregations.
What can I build with RDStation data in PostgreSQL?▼
Marketing teams can build custom attribution models that join RDStation touchpoints with revenue data, create lead scoring algorithms using SQL queries on contact behavior, and generate automated performance reports that combine email statistics with landing page conversion rates. The flexible PostgreSQL environment supports any analytical approach your business requires.
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