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Criteo
Ask Claude, ChatGPT, or any MCP client about your Criteo programmatic advertising data using natural language chat. You can inquire about daily ad spend efficiency, compare retargeting revenue across different periods, or investigate bounce rate trends affecting your dynamic display campaigns. The AI reads your replicated Criteo data and returns instant insights about clicks, impressions, and conversion metrics without requiring technical queries or manual spreadsheet analysis.
Kondado enables direct AI analysis of Criteo advertising data through the MCP open standard, supporting Claude, ChatGPT, and other MCP clients. The platform replicates 1 pipeline containing 146 fields of daily ad statistics, including spend, clicks, and revenue metrics. The same synchronized data also powers ready dashboards in Power BI and Looker Studio for visual monitoring.
E-commerce managers use this to optimize retargeting ROI by asking about cost per acquisition trends, while marketing analysts track programmatic campaign efficiency through impression-to-revenue ratios. Finance teams monitor advertising spend against generated revenue in chat, and operations professionals check bounce rate patterns to identify campaign fatigue. Simply describe what you want to know about your Criteo performance in plain language.
The Daily Ad Statistics pipeline detailed below offers 146 fields for deep conversational analysis. You can query specific insights about click volume trends, impression distribution across retargeting campaigns, or total ad spend efficiency by simply asking about particular date ranges. Investigating bounce rate correlations or revenue attribution patterns becomes as easy as describing the comparison you want to see in chat, unlocking actionable intelligence about your programmatic advertising performance.
While Criteo provides one comprehensive pipeline, you can cross-analyze its extensive field set to understand relationships between impression volumes and revenue generation, or compare cost per click metrics against bounce rates for performance optimization. This enables sophisticated questioning about campaign health and audience engagement patterns without requiring technical database knowledge or manual reporting exports.
With automated updates on a configurable schedule, your AI assistant always references fresh advertising performance data when answering questions about your latest Criteo campaign results, ensuring your analysis reflects current market activity.
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 Criteo account and select a Via Kondado destination, which prepares your advertising data for both AI analysis and dashboard templates.
In Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server in the connection settings and complete the OAuth authorization at app.kondado.com.br once, with no CLI commands or code required.
Start asking questions about your Criteo campaigns in natural language through chat, or open a ready Power BI or Looker Studio dashboard template for visual recurring monitoring.
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