Google, Meta, TikTok
AI Models & Assistants / Knowledge library
Supermetrics Marketing Analytics (Claude connector)
Google Ads, Facebook Ads, Google Analytics, TikTok, LinkedIn, Instagram, YouTube & 200+ sources
Why learn Supermetrics Marketing Analytics (Claude connector)?
Brings Supermetrics Marketing Analytics capabilities into Claude so the assistant can work with that service's context.
The problem it solves
Reduces manual handoffs between Claude and Supermetrics Marketing Analytics.
Where it came from
Supermetrics Marketing Analytics (Claude connector): Google Ads, Facebook Ads, Google Analytics, TikTok, LinkedIn, Instagram, YouTube & 200+ sources Directory record checked 2026-10-13. Availability depends on region, plan, permissions and the publisher. Directory presence does not establish a quality ranking.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Explain what Supermetrics Marketing Analytics (Claude connector) does.
- Identify a use case for Supermetrics Marketing Analytics (Claude connector).
- Describe a limitation of Supermetrics Marketing Analytics (Claude connector).
- Name a compatible tool for Supermetrics Marketing Analytics (Claude connector).
- Compare Supermetrics Marketing Analytics (Claude connector) against an alternative.
Documentation and sources
- Primary source / model card (claude.com)
Catalog research notes
- See the AI Workbench for source dates, pricing evidence and configuration details.
Connect the ideas
Built on
Real World Example
Unified Cross-Channel Campaign Synthesis for Boutique Retailers
Boutique e-commerce brands managing fragmented advertising budgets across Google Ads, Meta, and TikTok.
The business problem
Marketing teams struggle with manual data consolidation, leading to delayed insights and an inability to compare performance across disparate social and search platforms in a single interface.
How this topic solves it
The Supermetrics Marketing Analytics connector for Claude enables direct, natural language queries against 200+ data sources. By utilizing the data_query and data_source_discovery tools, the system pulls raw performance metrics into the Claude environment, allowing for automated synthesis and comparative analysis without manual spreadsheet exports.
- Authenticate the Supermetrics MCP server within the Claude environment using the provided connector URL.
- Execute data_source_discovery to map available accounts across Google Ads, Facebook Ads, and TikTok.
- Define specific metrics and dimensions using the data_query tool to pull cross-platform performance data.
- Instruct Claude to synthesize the retrieved data into a comparative summary of campaign effectiveness.
- Review the generated insights and iterate by adjusting the query parameters if data granularity is insufficient.
This diagram illustrates how marketing data flows from external platforms into the Claude analysis environment.
Connector Interface
Analysis Engine
Final Output
- Ad Platforms → data_query → Supermetrics MCP
- Supermetrics MCP → get_async_query_results → Claude AI
- Claude AI → synthesis → Marketing Insights
Expected business outcome
A centralized, conversational interface for performance monitoring that eliminates the need for manual data aggregation and allows for rapid, cross-channel strategic adjustments.
Limitations and checks
The connector relies on the accuracy of the underlying API responses from the 200+ integrated platforms; users must verify data integrity by cross-referencing the raw output of the get_async_query_results tool against the native platform dashboards.