Chat with your RDStation data

AI to analyze RDStation data with Claude and ChatGPT

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No credit card required | 14 days | 10 million records | 30 pipelines

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RDStation
You
How many new leads did RDStation capture this week?
Lead Capture
RDStation recorded 1,247 new leads across all forms and landing pages in the last 7 days.
Via Kondado MCP
You
Which email campaign had the highest open rate last month?
Email Performance
The "Product Launch Q4" campaign achieved a 34.2% open rate, outperforming your monthly average by 8 percentage points.
Via Kondado MCP
You
What is the current conversion rate for our main landing page?
Landing Pages
Your primary landing page converted 12.8% of visitors into qualified leads yesterday, up from 9.4% last week.
Via Kondado MCP
You
How many contacts are currently in the "Qualified Lead" funnel stage?
Funnel Status
There are 856 contacts currently marked as qualified leads across your active sales funnels.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze RDStation data with Claude and ChatGPT

Ask Claude, ChatGPT or any MCP client about your RDStation marketing data in natural language. Query conversion rates across specific landing pages, compare email campaign performance month-over-month, or check the current distribution of leads across your sales funnels without writing SQL, building queries, or opening spreadsheets. The AI interprets your questions instantly and retrieves answers from your replicated marketing database.

Kondado replicates RDStation data through a direct MCP server connection, making 14 data pipelines available for analysis in Claude, ChatGPT, and any compatible MCP client. The same data also powers ready report templates in Power BI and Looker Studio for visual monitoring when you need recurring dashboard views.

Marketing analysts track campaign ROI by asking about email open rates, automation flow conversions, and landing page performance. E-commerce managers monitor lead capture velocity through forms and pop-ups to optimize acquisition costs and identify high-intent traffic sources. Operations teams analyze contact tags, custom fields, and funnel stages to pinpoint bottlenecks in the customer journey. Finance professionals review opportunity events to forecast revenue pipelines, all through simple conversational chat that eliminates manual report building.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your RDStation data by Kondado in minutes.

View RDStation dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your RDStation data in natural language.

View MCP setup →

The data structure below includes 14 specialized pipelines capturing every touchpoint of your marketing operation. Query the Contacts: Conversion Events pipeline to see exactly when prospects became qualified leads, or ask about the Contacts: Funnels data to understand lifecycle stages across your sales process. The Email Campaign Statistics and Automation Flow Statistics pipelines reveal which sequences drive revenue, while Landing Pages and Forms data show where your highest-intent traffic originates. Combining the Contacts: Tags pipeline with Contacts: Custom Fields lets you segment audiences by behavior and demographic attributes for targeted cohort analysis. Automated updates on a configurable schedule ensure your AI assistant always references the latest lead interactions and campaign results when answering questions about your RDStation performance.

How to connect RDStation to Claude, ChatGPT and other AI clients

MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.

Kondado MCP server: https://mcp.kondado.io/mcp
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

RDStation tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

14
Tables
177
Fields
∞
Ad-hoc questions
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.
Full docs on the wiki → Connect RDStation now →

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect RDStation at app.kondado.com.br

Set up your RDStation data source in the Kondado platform and select a Via Kondado destination so your marketing data lands ready for AI access and powers the dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT

In Claude Web or Desktop, or directly in ChatGPT, navigate to the connection settings to add the Kondado MCP server and complete the one-time OAuth authorization at app.kondado.com.br.

3
Chat about RDStation or open dashboards

Ask questions in natural language about your RDStation campaigns, leads, and conversions; for recurring visual monitoring, open the ready Power BI or Looker Studio report templates.

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Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

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Marketing and Automation

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Taboola Taboola
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Advertising and Media

Apple App Store Apple App Store
Bing Bing
Criteo Criteo
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Meta Ads Meta Ads
Microsoft Ads Microsoft Ads
Microsoft Advertising Microsoft Advertising
Pinterest Ads Pinterest Ads
TikTok Ads TikTok Ads
X Ads X Ads
YouTube YouTube

E-commerce and Marketplaces

Bling! Bling!
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Support and Customer Service

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MongoDB MongoDB
MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
SQLServer SQLServer
Webhook Webhook

Productivity and Collaboration

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monday.com monday.com
Notion Notion
Pipefy Pipefy
Tangerino Tangerino
Toggl Toggl
Trello Trello

Social Media

Instagram Instagram
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User Analytics

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Storage and Transfer

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FTP FTP
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Related on Kondado

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What specific RDStation marketing metrics can I ask Claude or ChatGPT about in the chat interface? ▼
You can ask about conversion rates across specific landing pages, compare email campaign open rates between time periods, analyze lead distribution across funnel stages, or calculate the ROI of your automation flows. The AI interprets your natural language questions and queries the underlying 14 data pipelines to return specific metrics and trends from your Contacts, Emails, and Marketing Asset Statistics data.
How do I configure Claude Web or Desktop to access my RDStation data through Kondado? ▼
Open the connection settings in Claude Web or Desktop, or in the ChatGPT interface, and add the Kondado MCP server using the provided endpoint. You will be redirected to app.kondado.com.br to authorize access via OAuth once, after which the AI can query your replicated RDStation data without additional setup or technical configuration.
How does the OAuth authentication process work when connecting RDStation to the AI? ▼
When you first connect in your MCP client, the system redirects you to app.kondado.com.br where you authenticate with your Kondado credentials and authorize the data access scope. This single OAuth flow grants the AI read-only access to your replicated RDStation pipelines, with no need to manage API keys or tokens manually.
Can the AI execute actions in RDStation like sending campaigns or updating lead stages through the chat? ▼
No, the AI provides read-only analytical chat capabilities and cannot execute actions such as sending campaigns, updating contact records, or modifying funnel stages in your RDStation account. The MCP connection is designed for querying and analyzing the replicated data to support decision-making, not for performing write operations on the source platform.
How frequently does the RDStation data update in the AI chat to ensure current metrics? ▼
Data updates occur on a configurable schedule that you set when establishing the RDStation connection in Kondado, ensuring the AI references current information when answering your questions. The specific refresh frequency depends on your pipeline configuration, allowing you to balance data freshness with processing requirements.
What is the difference between asking the AI about RDStation data and using the ready Power BI or Looker Studio templates? ▼
The AI chat provides on-demand, conversational analysis where you ask specific questions and receive immediate answers about trends, calculations, or segmentations from your RDStation data. The ready Power BI and Looker Studio templates offer fixed visual dashboards for recurring monitoring of standard marketing KPIs, using the same underlying data but presented in pre-built report formats.
Which specific RDStation data pipelines are available for analysis through the MCP connection? ▼
The connection includes 14 data pipelines covering Contacts (with custom fields, tags, conversion events, opportunity events, and funnels), Emails, Email Campaign Statistics, Marketing Asset Statistics, Automation Flow Statistics, Forms, Landing Pages, Pop Ups, and Webhook Leads. This comprehensive schema allows you to analyze everything from individual contact journeys to aggregate campaign performance across your entire RDStation implementation.

Try out all the features for free for 14 days