Connect 325+ marketing and sales data sources to your BI tools, warehouses, and AI workflows without writing code.
Windsor.ai is a no-code data integration platform that connects 325+ marketing, sales, and analytics sources to destinations like BigQuery, Snowflake, Looker Studio, Power BI, and Google Sheets. It offers multi-touch attribution modeling, automated ETL/ELT pipelines, and AI-ready data schemas. Marketing teams and agencies use it to unify cross-channel data, track true campaign ROI, and automate reporting without engineering support. Setup takes minutes with OAuth, and includes historical backfills and scheduled syncs.
Windsor.ai is a no-code data integration platform that connects 325+ marketing, sales, and analytics data sources to your preferred BI tools, data warehouses, spreadsheets, and AI workflows. It also offers multi-touch attribution modeling to help you understand which marketing channels drive real results.
Windsor.ai offers a free plan with limited access (1 data source on the forever-free tier) and a 30-day free trial for full platform features.
Paid plans start at $19/month (billed annually) for the Basic plan with 3 data sources and 5M rows. The Standard plan is $99/month, Plus is $249/month, and Professional is $499/month. Enterprise pricing is custom. All plans include every connector and unlimited users.
Windsor.ai supports 325+ connectors spanning advertising platforms (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads), analytics tools (GA4, Adobe Analytics), CRM systems (HubSpot, Salesforce), e-commerce platforms (Shopify, WooCommerce, Amazon), and many more.
Supported destinations include Looker Studio, Power BI, Tableau, Google Sheets, Excel, BigQuery, Snowflake, PostgreSQL, MySQL, Amazon S3, Azure SQL, Redshift, Databricks, Microsoft Fabric, and Python environments.
Yes. Windsor.ai provides AI-ready data schemas and a native Model Context Protocol (MCP) server that connects live marketing data directly to Claude, ChatGPT, and Gemini for AI-powered reporting and analysis.
Windsor.ai supports multiple attribution models including First-Click, Last-Click, Data-Driven, Position-Based (U-shaped), W-shaped, Full Path (Z-shaped), Time Decay, Linear, Markov, and Algorithmic Attribution.
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