cogny vs windsor.ai
a windsor.ai alternative that ships the change.
Windsor.ai moves marketing data from 350+ sources into your reports, sheets and warehouse. Cogny is one MCP server your AI calls directly: 73 integrations, read and write, no pipeline to keep running. It finds the next change, ships it once you approve, and measures it.
cogny vs windsor.ai, side by side.
| Question | Cogny | Windsor.ai |
|---|---|---|
| What it is | An MCP server your AI calls directly, plus the Cogny app | A data pipeline into BI tools, sheets and warehouses, plus Windsor MCP1 |
| Sources | 73 integrations with read and write tools; any remote MCP server can be added by URL | 350+ data sources1fits better |
| Entry price | Free $0 (15 MCP calls a month), Solo $9/mo | Forever Free (one source), Basic from $19/mo billed yearly1 |
| Trial | No trial on paid plans; the Free plan instead | 30-day trial1fits better |
| Dashboards | A 30-day graph per KPI on the start page; Cloud adds a BigQuery warehouse | Looker Studio, Power BI, Sheets and Excel as direct destinations1fits better |
| Attribution | Ask for it: your AI joins ad, analytics and revenue data in the chat | Attribution features in the product; see windsor.ai for the models1 |
| Ships the change | Writes to the tools: budgets, bids, keywords, posts, pages. Your AI client or the Cogny app asks before a writefits better | Its plans are described around moving and analysing data1 |
| Measures the change | Launches become measured tickets automatically; other changes your AI offers to register. Measured after 3 days (ads) or 7 (content, SEO), closed with a verdictfits better | Not listed as a feature on its pricing page1 |
fits better marks the stronger side of a line. No mark: a difference, not an edge. Numbers refer to the sources at the end of the page.
what windsor.ai is.
Windsor.ai is a marketing data integration platform. It connects to 350+ sources and sends the data where you report: Looker Studio, Power BI, Google Sheets, Excel, or a warehouse such as BigQuery or Snowflake. Windsor MCP lets an AI query that data, on every plan.
It has a free plan for one source, paid plans from $19 a month billed yearly, and a 30-day trial. It suits a team that builds its own dashboards and attribution on top of clean, scheduled data.
Cogny skips the pipeline. Your AI reads the live tools through Cogny, joins what it needs in the conversation, proposes one change, ships it after you approve, and comes back to measure it.
when to pick which.
Pick Windsor.ai if
- Your team lives in Looker Studio, Power BI or Sheets and wants the data landed there.
- You need sources beyond Cogny's list: Windsor.ai lists 350+.
- You want a warehouse filled on a schedule and own the SQL on top.
- You want a 30-day trial of a paid plan before you pay.
Pick Cogny if
- You don't want to run a pipeline, a warehouse or a BI tool to get an answer.
- Your AI client (Claude Code, Codex, Cursor, ChatGPT) is where you work.
- You want the change shipped and measured, not only reported.
- You want every write logged with who authorised it.
- You're an agency: one workspace per client, the same measured loop in each.
same question, two ways.
Common attribution and performance questions, and what each path asks of you.
Which campaigns drove last month's Stripe revenue?
With Windsor.ai
- Connect your revenue and ad sources
- Send them to a destination: a sheet, a BI tool or a warehouse
- Model the join from click to customer to subscription
- Build the view, or ask Windsor MCP
Needs SQL or BI modelling
With Cogny
- Connect Google Ads and Meta Ads
- Add Stripe through its own MCP server, by URL
- Ask which campaigns drove the revenue
- Your AI writes the join in the chat
Needs A question
Cross-channel ROAS for the last 30 days
With Windsor.ai
- Land Google Ads, Meta Ads, LinkedIn Ads and GA4
- Reconcile naming across platforms
- Build the dashboard and schedule the refresh
Needs Dashboard building and upkeep
With Cogny
- Connect the ad accounts and GA4
- Ask for ROAS by channel
- Get one next step: the budget to move, with your approval
Needs Your approval
Which blog posts drive newsletter signups? (GA4 + Mailchimp)
With Windsor.ai
- Connect both sources
- Send them to the same destination
- Join page views to signups to contacts
Needs A join in SQL or a BI tool
With Cogny
- Connect GA4 and Mailchimp
- Ask which posts drove signups
- Your AI reasons over both in one session
Needs Two connections
Why did cost per lead jump last week?
With Windsor.ai
- Open the dashboard or query the data
- Pivot by channel, campaign and ad group
- Check the ad platform's change history
- Make the fix in the ad platform
Needs Someone to act on the answer
With Cogny
- Ask in plain English
- Cogny reads the live accounts and finds the cause
- You approve the fix; it ships
- Three days later, a verdict
Needs Your approval
A solo founder with no warehouse
With Windsor.ai
- Start on the free plan with one source, or pick a paid plan
- Choose a destination: Looker Studio, Sheets or a warehouse
- Build the reports
Needs A reporting tool you know
With Cogny
- Run one install line in your AI client
- Authorise in the browser
- Ask the first question in the same chat
Needs An AI client you already use
what cogny adds.
Every measured change gets a verdict: worked, partial, didn't work or inconclusive. Misses included.
experiment across your whole stack.
Change it in one tool, measure it in the data of another. Ads, analytics, search, email, CRM, site and code: 73 integrations, read and write.
from raw data to a shipped change.
A question, one concrete next step, your approval, shipped in the tool. Minutes, not an analyst queue.
run it from your own AI.
Claude, ChatGPT, Cursor, Codex or the Cogny app. Cogny keeps the ledger: every write logged, launches turned into measured tickets, the good loops run again.
Six months of measured outcomes, misses included: the truth ledger
one install line. then ask.
1 Windsor.ai details are from windsor.ai/pricing, checked 14 October 2026. Plans change; check their site before you decide.