Bright Data vs Supermetrics
Last updated: February 2026 · By AI-Ready CMO Editorial Team
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Strategic Summary
Bright Data and Supermetrics both move data into analyzable formats, but from different sources and for different purposes. Supermetrics pulls marketing data from ad platforms, social media, and analytics tools into spreadsheets, dashboards, and data warehouses — it's a connector for your existing marketing data. Bright Data collects data from any public website — it's infrastructure for gathering external data that doesn't exist in your marketing stack.
Supermetrics is the right choice for marketing reporting and analytics consolidation. If you need Facebook Ads, Google Analytics, HubSpot, and LinkedIn data in one Looker Studio dashboard or data warehouse, Supermetrics handles the connections automatically. It solves the internal data fragmentation problem.
Bright Data solves the external data collection problem. Competitor pricing, market research data, SERP results, and public sentiment data live outside your marketing stack — Supermetrics can't access them. Bright Data's proxies and scrapers collect this external intelligence. The two tools are complementary, not competitive.
Our Recommendation: Supermetrics
Supermetrics wins for most marketing teams because consolidating internal marketing data is a more immediate, higher-frequency need than collecting external web data. Bright Data wins for teams with specific external intelligence requirements that internal data connectors can't address.
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Choose Bright Data when...
Choose Bright Data for collecting external competitive and market data from public websites — pricing, SERP data, product information, or social data that doesn't flow through your existing marketing tools.
Choose Supermetrics when...
Choose Supermetrics for consolidating data from your marketing stack — ad platforms, social media, CRM, and analytics — into unified dashboards and reports without custom API development.
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