Marketing data pipeline that connects 200+ marketing platforms. Pulls data from ad platforms, analytics, social, SEO, email, and more into a single query interf
Supermetrics acts as a marketing data pipeline that consolidates data from over 200 marketing platforms into a single query interface. It enables marketers to pull metrics from ad platforms like Google Ads, Facebook Ads, LinkedIn Ads, and Twitter Ads, as well as analytics tools such as Google Analytics 4, SEO sources like Google Search Console, and email platforms including Mailchimp. By unifying this data, it simplifies cross-channel analysis, reporting, and dashboard creation with consistent API-driven queries.
This skill supports precise data extractions through customizable filters, date ranges, and fields, allowing users to retrieve specific campaign performance metrics, organic search insights, or user engagement data. Its API key authentication and RESTful interface facilitate integration into automated workflows, enabling marketers to scale reporting without manual exports or platform switching.
Supermetrics is ideal for performance marketers managing multi-channel campaigns who need to aggregate data from paid search, social, and email channels efficiently. Growth leads looking to compare ROI across platforms like Google Ads, Facebook, and LinkedIn will find it valuable for unified visibility. Agency strategists tasked with delivering consolidated client reports involving SEO, PPC, and email marketing metrics benefit from its ability to streamline data collection and reduce manual data wrangling.
Users who rely on consistent, up-to-date marketing data to inform budget allocation or optimize conversion rates will appreciate how Supermetrics centralizes disparate sources into one manageable API endpoint. It suits teams balancing high data volume with the need for precise metric-level insights across channels.
Practitioners typically start by authenticating with an API key via Supermetrics Hub and selecting relevant data sources, such as GA4 or Google Ads, specifying account IDs for each. Next, they craft queries defining date ranges (e.g., last 28 days or last month) and select precise fields like clicks, impressions, cost, sessions, or bounce rate to tailor the output. Filters can be applied to narrow results to specific campaigns or traffic segments.
Once queries are configured, marketers automate data pulls into dashboards or spreadsheets, scheduling regular refreshes to track performance trends. They often iterate on queries to compare cross-channel KPIs or drill down into underperforming ads, using `max_rows` to manage response size when dealing with large datasets. Finally, results inform channel budget decisions or conversion rate optimization tests.
How do I connect multiple platforms in one query? Supermetrics requires specifying each data source ID and account in separate queries, which you can then combine downstream. Can I filter query results by campaign or date? Yes, you can apply filters and custom date ranges in the query parameters to refine data sets. What are the rate limits? Enterprise API plans typically allow around 100 requests per minute, and large results may be paginated, so controlling `max_rows` is recommended.
Attach the Supermetrics skill to a Metaflow agent task by providing your API key and defining data source IDs, account IDs, and query parameters within the task configuration. Expect to receive structured JSON responses containing raw marketing metrics from multiple platforms, ready for further processing or analysis. This integration streamlines data retrieval across channels, enabling automated, repeatable reporting workflows that...
For broader context, see our roundup of claude marketing skills, and read Claude skills for SEO for related setup guidance.