From RDStation to MySQL: managed, scheduled, no code.
Creating a pipeline that sends data from RDStation to MySQL databases takes only a few minutes with Kondado. And the whole integration from RDStation to MySQL 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 MySQL database
How to send RDStation data to MySQL? Start by selecting RDStation as your data source and MySQL as your destination within Kondado. Choose from 14 available pipelines covering contacts, email campaigns, and conversion events to determine exactly which marketing data flows into your database. Configure your update schedule to run every 5 minutes, hourly, or daily based on your analytics requirements, then let Kondado handle the automated replication while you focus on extracting insights.
Once your pipelines are active, your RDStation information becomes available in structured format within MySQL, ready for complex SQL queries and custom reporting. Marketing teams and analysts can combine lead generation data with other business sources to create comprehensive performance dashboards without manual CSV exports. This automated workflow ensures your database always contains current lead scores, email engagement metrics, and funnel stage transitions for immediate strategic analysis.
Kondado provides a direct connection between RDStation and MySQL, replicating marketing automation data including contact details, conversion events, and campaign statistics into your open-source database on a configurable schedule.
With the Contacts: Conversion Events pipeline, you can track every lead interaction and timestamp in MySQL to build attribution models that show which touchpoints drive qualified prospects. The Email Campaign Statistics pipeline delivers open rates, click-through data, and conversion metrics directly to your database, enabling you to calculate ROI across different audience segments using SQL. Meanwhile, Contacts: Funnels provides lifecycle stage data that helps you analyze conversion velocity and identify bottlenecks in your sales process. By having this RDStation information available in MySQL, you can join marketing metrics with financial or operational data to create unified business intelligence reports that update automatically.
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Replicated to MySQL
RDStation data available for MySQL
Tables Kondado writes into your MySQL, on a schedule you control.
14
available pipelines
177
extractable fields
MySQL
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
Log in to Kondado and add RDStation as a new data source by entering your API credentials. The platform will automatically detect your available pipelines and field structures.
2
Configure MySQL Destination
Enter your MySQL connection details including host, port, database name, and authentication credentials. Kondado validates the connection to ensure your marketing data flows correctly into your open-source database.
3
Select Pipelines and Schedule
Choose from the 14 available RDStation pipelines such as Contacts or Email Campaign Statistics, then set your preferred update interval from 5 minutes to daily. Once activated, Kondado begins replicating your selected data automatically.
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Answers about sending RDStation data to MySQL automatically
What RDStation data can I replicate to MySQL using Kondado?▼
Kondado offers 14 pipelines with 177 fields including Contacts with custom fields and conversion events, Email Campaign Statistics with delivery metrics, Landing Pages performance data, and Automation Flow Statistics. You can select specific pipelines like Contacts: Funnels to track lifecycle stages or Webhook Leads to capture form submissions, giving you complete control over which marketing data populates your MySQL database.
How often does Kondado update my RDStation data in MySQL?▼
You configure the update frequency based on your business needs, choosing intervals such as every 5 minutes, 15 minutes, hourly, or daily. This configurable schedule ensures your MySQL database reflects the latest lead activities and campaign performance without manual intervention, keeping your analytics current.
Can I combine RDStation data with other sources in my MySQL database?▼
Yes, MySQL serves as a central repository where you can join RDStation marketing data with information from other platforms. Replicate additional data alongside your marketing automation metrics to create comprehensive reports that correlate lead generation with sales or financial outcomes stored in the same database.
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 data in MySQL or other destinations like Power BI and Looker Studio, allowing you to visualize lead conversion funnels immediately without building visualizations from scratch.
How is RDStation data structured when it arrives in MySQL?▼
Each pipeline creates dedicated structures in MySQL that preserve the original field names and data types from RDStation, such as uuid, email, and created_at in the Contacts pipeline. The data arrives in normalized format ready for SQL joins, allowing you to relate contact information with conversion events and campaign statistics using standard database queries.
Can I track RDStation landing page performance in MySQL?▼
Yes, the Landing Pages pipeline captures metrics including views, conversion rates, and leads generated directly into your MySQL database. This allows you to run SQL queries comparing landing page effectiveness across different campaigns and time periods, optimizing your lead generation strategy based on concrete database analysis.
Do I need technical skills to set up the RDStation to MySQL connection?▼
Kondado requires no code to establish the connection: simply authenticate your RDStation account, provide your MySQL credentials, select your desired pipelines, and set your preferred schedule. The platform handles the technical complexity of API connections and data transformation automatically, making it accessible to marketing analysts and business users.
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