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Facebook Ads
Ask Claude, ChatGPT, or any other MCP client about your Facebook Ads performance using everyday language. Marketing teams can instantly query total spend across all ad accounts, compare click-through rates between active campaigns, or verify lead form capture volumes without touching a database. The AI accesses your replicated Facebook Ads pipelines and returns precise answers about ROAS trends, audience engagement patterns, and cost-per-acquisition fluctuations across any time period.
Kondado replicates Facebook Ads data through 14 pipelines comprising 1,569 fields, serving them via MCP server to Claude, ChatGPT, and other compatible clients. This setup enables natural language analysis of advertising metrics while the same replicated data simultaneously supports ready dashboards in Power BI and Looker Studio.
E-commerce managers monitor daily budget efficiency by asking which campaigns delivered the highest conversion value yesterday, while marketing analysts benchmark CPM performance across regional ad sets to optimize targeting strategies. Finance teams reconcile advertising invoices against actual campaign costs by querying account-level spend summaries, and operations specialists track lead form status to coordinate sales follow-ups. Every stakeholder accesses these insights through simple chat conversations, transforming complex advertising metrics into immediate business decisions without technical training.
Connect the specific Facebook Ads pipelines below to unlock detailed advertising intelligence through conversational AI. Query the Campaign Performance pipeline to analyze impression volumes and cost-per-acquisition trends across your active initiatives, or examine Ad Set Performance to compare click-through rates and total spend between different audience segments. The Ad Performance and Post Metrics pipelines reveal which individual creatives drive the highest engagement, while Page Metrics offers insights into organic versus paid reach patterns. Combine data from Lead Forms with Campaign Metadata to trace which advertising initiatives generate the most qualified prospects, or cross-reference Ad Account Performance with Ad Metadata to audit spend distribution across your entire portfolio. These pipelines refresh on a configurable schedule, ensuring Claude and ChatGPT always reference current campaign statistics and recent engagement data when answering your business questions.
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.
Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.
In 3 steps: connect on Kondado, pick dashboard or chat, analyze.
Visit app.kondado.com.br to connect your Facebook Ads data source and select a Via Kondado destination, which prepares your advertising data for both AI chat access and the dashboard templates.
Open Claude Web or Desktop, or ChatGPT, and add the Kondado MCP server in the connection settings. Authorize once via OAuth at app.kondado.com.br to enable immediate data access without any CLI commands or JSON configuration.
Ask questions in natural language about your Facebook Ads campaigns, metrics, and performance. For ongoing visual monitoring, open the ready Power BI or Looker Studio dashboard templates powered by the same data.
Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.
How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.
Try out all the features for free for 14 days