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Pinterest Ads
Imagine asking your AI assistant about Pinterest Ads performance as easily as texting a colleague. With Kondado, you can query Claude, ChatGPT, or any MCP client in natural language to uncover insights from your advertising data. Ask which campaigns generated the highest ROAS last quarter, compare impression volumes across ad groups, or check the delivery status of active promotions. The conversation happens in chat, turning complex analytics into simple dialogue.
Kondado enables AI analysis of Pinterest Ads data through an MCP server connection supporting Claude and ChatGPT via the open MCP standard. The platform replicates 1 pipeline with 619 fields covering campaign metrics, click-through rates, and audience targeting data, enabling detailed performance investigations through conversational queries. The same replicated data also fuels ready reports in Power BI and Looker Studio for teams preferring visual dashboard monitoring.
Marketing analysts use this to investigate which audience segments drive the most cost-efficient conversions by querying spend patterns against engagement metrics. E-commerce managers track seasonal campaign effectiveness by asking about traffic trends and click-through rates during promotional periods. Finance and operations teams monitor budget pacing through questions comparing daily ad spend against planned allocations. Each role receives immediate answers without technical setup or data engineering support.
The Ad Performance pipeline below contains the detailed metrics that power these conversational insights. Querying this data reveals granular breakdowns of impressions, clicks, and cost structured by campaign hierarchy, ad group targeting, and individual ad status. You can investigate ROAS fluctuations by asking the AI to compare performance across different audience segments or analyze spend efficiency by querying cost-per-click trends over time. While this single comprehensive pipeline captures 619 fields of advertising data, you can combine these insights with information from other marketing sources when available to build cross-channel analysis comparing Pinterest performance against broader media mix metrics. Data updates run on a configurable schedule, ensuring your chat queries reflect current campaign performance rather than outdated snapshots.
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.
Select Pinterest Ads as your data source in Kondado and choose a Via Kondado destination. This replicates your advertising data, making it available for AI chat queries and ready dashboard templates.
Open the connection settings in Claude Web or Desktop, or in ChatGPT, and add the Kondado MCP server. Authorize once via OAuth at app.kondado.com.br through the GUI, with no CLI commands required.
Ask questions using natural language about campaign performance, ROAS, or audience metrics. For ongoing visual monitoring, open a ready Power BI or Looker Studio report template using the same replicated 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