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Windsor.ai

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About

Windsor.ai is a no-code ETL (Extract, Transform, Load) and ELT platform designed to centralize fragmented marketing and sales data into a single source of truth. By connecting to over 325 business platforms, it allows users to bypass manual CSV exports and copy-paste workflows. The primary goal is to empower organizations to analyze their cross-channel performance in real-time within their preferred environments, such as Looker Studio, Power BI, or Google Sheets, without requiring technical engineering resources. The platform operates through a simple four-step process: signing up, selecting a data source, choosing specific reporting fields, and designating a destination. Key features include automated schema mapping, near real-time synchronization, and a vast library of pre-built dashboard templates for instant visualization. A standout technical inclusion is the Windsor Model Context Protocol (MCP), which enables users to connect their unified data directly to AI chat interfaces like ChatGPT or Claude for natural language querying and rapid trend identification. This tool is specifically built for marketing analysts, digital agencies, and data teams who manage complex multi-channel campaigns. Analysts use it to save up to 40 hours per week on data preparation, while agencies benefit from the ability to aggregate data for hundreds of client accounts into unified reports. It is also suitable for business intelligence professionals who need to feed clean, structured data into warehouses like BigQuery or Snowflake to drive executive-level decision-making. Windsor.ai distinguishes itself from other integration tools through its transparent pricing model and deep focus on marketing attribution. Unlike some competitors that charge per connector, Windsor.ai provides access to all 325+ data sources across all plans, including the free tier. Furthermore, its built-in multi-touch attribution capabilities help users identify the true ROI of specific channels, moving beyond basic last-click metrics to uncover hidden value in the customer journey.

Pros & Cons

Supports over 325 different data sources across all pricing tiers.

Includes a Forever Free plan for single-user, single-source needs after the trial.

Offers specialized AI integration via Windsor MCP for querying data in natural language.

Provides access to up to 10 years of historical data for long-term trend analysis.

Eliminates the need for coding or custom API scripts to build data pipelines.

The Forever Free plan is limited to one data source and one account after the initial trial.

Data history is limited to 30 days during the initial 30-day free trial period.

Higher-frequency syncs (every 15 minutes) are restricted to the Professional plan and above.

Standard and Basic plans are capped at 75 accounts per source.

Use Cases

Marketing analysts can automate data collection from 325+ channels to create unified reports, saving dozens of hours on manual data wrangling.

Digital agencies can aggregate performance data across hundreds of client accounts into a single dashboard to provide transparent, real-time reporting.

E-commerce managers can sync Amazon and Shopify sales data with Looker Studio to track accurate ROI and optimize inventory decisions.

Data teams can build automated pipelines to warehouses like Snowflake or BigQuery without writing custom API scripts or maintaining internal infrastructure.

Platform
Web
Task
data integration

Features

data warehouse integration

10-year data history

pre-built dashboard templates

automated scheduled syncs

multi-touch marketing attribution

windsor mcp for ai analysis

no-code etl/elt pipelines

325+ data connectors

FAQs

What is a data source in Windsor.ai?

A data source is the original platform, such as Facebook Ads or Google Analytics 4, where your data is generated. You can select from over 325 supported sources to pull data into your chosen destination for analysis.

Does the platform support AI analysis?

Yes, Windsor.ai includes a feature called Windsor MCP that connects your data to AI chats like ChatGPT or Claude. This allows you to ask natural language questions about your campaign performance and get instant insights.

How does the free trial work?

New users get a 30-day free trial with access to all features, 10 data sources, and 15 accounts. After the trial, you can transition to the Forever Free plan, which supports one data source and one account.

Can I schedule data refreshes?

Yes, the platform supports automated syncs on various schedules depending on your plan. Options range from daily updates on the Basic plan to 15-minute intervals on the Professional plan.

Which destinations can I send my data to?

Windsor.ai supports a wide range of destinations including BI tools like Power BI and Looker Studio, spreadsheets like Google Sheets, and warehouses like BigQuery and Snowflake.

Pricing Plans

Basic
USD19.00 / per month

Unlimited users

3 data sources

75 accounts

Unlimited BI syncs

5 destination tasks

Daily scheduled sync

5M MAR included

Standard
USD99.00 / per month

Unlimited users

7 data sources

75 accounts

Unlimited BI syncs

Unlimited destination tasks

Daily/hourly sync

7.5M MAR included

Plus
USD249.00 / per month

10 data sources

200 accounts

10M MAR included

All features from Standard

Professional
USD499.00 / per month

14 data sources

500 accounts

Auto-add all accounts

15-mins scheduled sync

50M MAR included

Enterprise
Unknown Price

Up to 300 data sources

Up to 50,000 accounts

Pay via invoice

Dedicated account manager

Custom connector development

Single sign on SSO

Free
Free Plan

30-day trial period

1 user

10 data sources (Trial)

15 accounts (Trial)

Unlimited BI syncs

5 destination tasks

Daily scheduled sync

30-day history limit

Job Opportunities

Windsor.ai favicon
Windsor.ai

Senior Python Engineer

Automate data integration from 325+ sources into BI tools and AI chats for marketing analysts to eliminate manual reporting and gain deep performance insights.

engineeringremoteRSfull-time

Benefits:

  • Work in a flat fast moving environment

  • Ability to have a significant impact

  • Remote work environment

  • Quarterly team trips to Europe

Experience Requirements:

  • 4+ years of programming experience

  • Good programming knowledge (OOP, mutable/immutable types etc.)

Other Requirements:

  • Experience with flask, threads, pytest-xdist, pylint

  • Experience with Redis, postgres, Linux, docker

  • Knowledge of React and redux for frontend

Responsibilities:

  • Dealing with complexity and variations in different API’s

  • Ensuring system scalability

  • Programming in python using advanced features

  • Planning work in two weeks intervals

  • Participating in pytest and merge request reviews

Show more details

Senior Python Engineer

Automate data integration from 325+ sources into BI tools and AI chats for marketing analysts to eliminate manual reporting and gain deep performance insights.

Benefits:

  • Work in a flat fast moving environment

  • Ability to have a significant impact

  • Remote work environment

  • Quarterly team trips to Europe

Experience Requirements:

  • 4+ years of programming experience

  • Good programming knowledge (OOP, mutable/immutable types etc.)

Other Requirements:

  • Experience with flask, threads, pytest-xdist, pylint

  • Experience with Redis, postgres, Linux, docker

  • Knowledge of React and redux for frontend

Responsibilities:

  • Dealing with complexity and variations in different API’s

  • Ensuring system scalability

  • Programming in python using advanced features

  • Planning work in two weeks intervals

  • Participating in pytest and merge request reviews

Show more details

Senior Business Development Manager (APAC) - SaaS / Data

Automate data integration from 325+ sources into BI tools and AI chats for marketing analysts to eliminate manual reporting and gain deep performance insights.

Benefits:

  • Competitive Pay (60/40 salary split)

  • Fully Remote

  • Quarterly team trips (mainly to Europe)

  • Strategic Impact

Experience Requirements:

  • SaaS Sales Experience closing deals in software

  • Hands-on experience with Google Ads and Facebook Ads

  • Visualization skills with Looker Studio or Power BI

Other Requirements:

  • The Fixer Mentality

  • SQL knowledge (bonus points)

Responsibilities:

  • Convert high-intent inbound demo requests into paid users

  • Selling solutions and solving client issues

  • Owning the client relationship and success

  • Collaborating directly with Founder, Engineering, and Support

Show more details

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