From RDStation to Amazon S3: managed, scheduled, no code.
Creating a pipeline that sends data from RDStation to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from RDStation to Amazon S3 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 Amazon S3 data lake
Sending RDStation data to Amazon S3 requires no coding or complex configuration when you use Kondado’s automated data platform. Simply connect your RDStation account as a data source, select Amazon S3 as your destination, and choose which of the 14 available pipelines to replicate. Kondado handles the extraction and loading process on a configurable schedule, ensuring your marketing data flows seamlessly into your S3 buckets without manual intervention. Once in Amazon S3, you can query the data with Athena, join it with other business datasets, or build custom analytics workflows that leverage your lead generation and email campaign metrics.
Kondado provides a direct integration between RDStation and Amazon S3, replicating 14 data pipelines including Contacts, Emails, Forms, and Landing pages on a configurable schedule ranging from every 5 minutes to daily, with data delivered in optimized file formats for immediate use with Athena, Presto, or Dremio.
With the Contacts and Contacts: Conversion Events pipelines, you can track every lead’s journey from initial capture through final conversion inside your Amazon S3 environment. Marketing teams analyze this data alongside transaction records to calculate true customer acquisition costs and optimize their funnel strategies. The Email Campaign Statistics pipeline delivers open rates, click metrics, and conversion data directly to your S3 buckets, enabling you to combine RDStation performance with website analytics or CRM data using Athena or Presto for comprehensive cross-channel analysis that drives better budget allocation decisions.
Try out all the features for free for 14 days
Replicated to Amazon S3
RDStation data available for Amazon S3
Tables Kondado writes into your Amazon S3, on a schedule you control.
14
available pipelines
177
extractable fields
Amazon S3
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 as Data Source
Authenticate your RDStation account through Kondado's interface to establish the data source connection. The platform automatically detects your available pipelines including Contacts, Emails, and Landing Pages.
2
Configure Amazon S3 Destination
Enter your AWS bucket name, region, and folder path where you want RDStation data stored. Kondado validates the connection to ensure your marketing data lands in the correct S3 location.
3
Select Pipelines and Schedule
Choose which of the 14 RDStation pipelines to replicate and set your update frequency from every 5 minutes to daily. You can send the same data to BigQuery or PostgreSQL simultaneously while maintaining your Amazon S3 workflow.
Try out all the features for free for 14 days
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Answers about sending RDStation data to Amazon S3 automatically
How does Kondado replicate RDStation data to Amazon S3?▼
Kondado connects directly to the RDStation API to extract your marketing data and loads it into your specified Amazon S3 buckets. The platform manages schema detection, data type mapping, and file organization automatically, creating a seamless pipeline that requires no manual maintenance or coding from your team.
What specific RDStation marketing data can I replicate to Amazon S3?▼
You can replicate 14 distinct pipelines covering Contacts with custom fields and conversion events, Email Campaign Statistics with delivery metrics, Landing Pages performance data, Automation Flow Statistics, and Webhook Leads. This includes 177 total fields capturing everything from lead lifecycle stages to pop-up interaction rates.
How frequently can I update RDStation data in my Amazon S3 buckets?▼
Kondado offers flexible scheduling options ranging from every 5 minutes to daily updates, allowing you to balance data freshness with API rate limits and storage costs. You can configure different schedules for each pipeline, such as updating Contacts hourly while refreshing Email Statistics daily.
What file format does RDStation data use when stored in Amazon S3?▼
Data arrives in optimized columnar formats compatible with AWS Athena, Presto, and Dremio, enabling immediate querying without transformation. Each pipeline generates organized file structures that support partitioning by date or event type, making your RDStation data ready for immediate analysis.
Can I combine RDStation data with other marketing sources in Amazon S3?▼
Yes, Kondado enables you to replicate data from multiple sources into the same Amazon S3 environment, creating unified datasets for comprehensive analysis. You can join RDStation lead information with CRM data, advertising platforms, or e-commerce transactions stored in your buckets to build complete customer journey analytics.
Are there pre-built dashboards available for RDStation data?▼
Yes, Kondado offers pre-built report templates including the RD Station Marketing Power BI Report and RD Station Marketing Looker Studio Report. These templates connect directly to your data in Amazon S3 or can be adapted for use with Power BI and Looker Studio to visualize your marketing funnel, email performance, and lead conversion metrics immediately.
Do I need technical skills to send RDStation data to Amazon S3?▼
No coding is required to configure the connection between RDStation and Amazon S3 using Kondado's interface. You simply authenticate your RDStation account, provide your S3 bucket details, and select which pipelines to replicate using the visual pipeline selector.
What can I do with RDStation data once it is in Amazon S3?▼
Once stored in Amazon S3, your RDStation data becomes accessible for complex SQL queries through AWS Athena, integration with business intelligence tools, or feeding into machine learning models. You can also send the same data simultaneously to PostgreSQL or BigQuery for additional analysis workflows.
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