Windsor.ai vs Supermetrics: price, connectors, and AI assistants compared
Windsor.ai vs Supermetrics: feature comparison
Windsor.ai and Supermetrics side by side in Claude
We gave Claude the same three prompts through each connector on 27 October 2026, with the same accounts, date ranges, and Claude model. We ran each prompt 3 times, and every time on this page is the median of those runs. We checked the prompt 1 answers against GA4’s own report, where bounce rate is 100% minus engagement rate. We checked the days flagged in prompt 2 against the GA4 and Search Console data both tools return.
Setup
- Windsor.ai: About 2 minutes from signup to first Claude answer in our test, on a new account made for it. Windsor.ai opens straight after signup, and you can connect GA4 by signing in with Google. To add the connector, open Customize in Claude, then Connectors, search for Windsor.ai, and click Add.

- Supermetrics: About 3 minutes from signup to first Claude answer in our test. You sign up with a social login, then fill in or skip the onboarding form to get into the platform. Once you’re inside, connect GA4 by signing in with Google. The button on the Claude destination page opens the Supermetrics connector page, where you add it to Claude.

Prompt 1: GA4 sessions and bounce rate
Compare GA4 sessions and bounce rate for 21 October to 27 October 2026 against the week before.
- Windsor.ai: answered in about a minute (median of 3 runs). Claude made 2 tool calls, hit no plan limit, and got no errors. In the first run, it returned 1,055 sessions and a 77.0% bounce rate for 21 to 27 October, which matches GA4. For the week before, it returned 1,093 sessions and 78.6%, against GA4’s 1,097 and 78.7%. In that run, Claude asked for daily figures and added them up. GA4 estimates session counts, so its daily figures don’t add up exactly to its weekly total. For that week, the daily figures come to 1,093, and the weekly total is 1,097. The 4-session gap comes from adding up GA4’s daily rows. Later runs matched GA4 for both weeks. A fresh pull on 29 October gave the same figures, so the cache didn’t affect the result.

- Supermetrics: answered in about a minute (median of 3 runs). It returned 1,055 sessions and 77.0% for 21 to 27 October, and 1,097 sessions and 78.7% for the week before, which matches GA4. Claude made 4 tool calls, hit no plan limit, and got no errors.


Prompt 2: Blending Search Console and GA4 data
Blend Search Console clicks and GA4 organic sessions by day for the period between 14 October 2026 and 27 October 2026. Flag any day where they move apart by more than 20%. For each flagged day, give the likely causes, such as tracking changes, consent banner drops, ranking shifts, or bot traffic. Leave out the last 3 days because Search Console data is still incomplete for them. Provide your conclusion in one paragraph.
- Windsor.ai: answered in about 90 seconds (median of 3 runs). It compared Search Console clicks with Google organic sessions only, leaving out Bing and smaller search engines, and flagged only 20 October. Claude made 2 tool calls, hit no plan limit, and got no errors.

- Supermetrics: answered in about 90 seconds (median of 3 runs). It also flagged only 20 October, after setting aside 243 organic sessions from Bing and smaller search engines, which Search Console doesn’t count. Claude made 3 tool calls, hit no plan limit, and got no errors.

Prompt 3: A vague question
What's my conversion rate, and which landing page is dragging it down? Don't ask me to clarify. Make your own assumptions, list them, show which fields you picked from my data, and say what you'd need to give a more reliable answer.
- Windsor.ai: answered in about 90 seconds (median of 3 runs). Claude made 2 tool calls, hit no plan limit, and got no errors.

- Supermetrics: answered in about a minute (median of 3 runs). Claude made 3 tool calls, hit no plan limit, and got no errors.

Both tools got prompt 2 right. On 20 October, GA4 recorded 56 Google organic sessions against 77 Search Console clicks, or 27% fewer sessions than clicks. On every other day from 14 to 24 October, sessions stayed within 16% of clicks, above or below. For prompt 3, both answers named the same gaps: no conversion event set up in GA4, no revenue data from the affiliate network, landing pages GA4 records as (not set), and too few sessions per page for a reliable rate. Across the three prompts, Claude made 2 tool calls per prompt through Windsor.ai and 3 or 4 through Supermetrics. Answers on both tools took between about a minute and about 90 seconds.
How G2 reviewers rate Windsor.ai and Supermetrics

- Meets Requirements: Windsor.ai 8.8, Supermetrics 8.5
- Ease of Use: Windsor.ai 8.2, Supermetrics 8.2 (tied)
- Ease of Setup: Windsor.ai 8.1, Supermetrics 8.1 (tied)
- Ease of Admin: Windsor.ai 8.6, Supermetrics 8.0
- Quality of Support: Windsor.ai 8.9, Supermetrics 7.8
- Good Partner in Doing Business: Windsor.ai 9.2, Supermetrics 8.2
- Product Direction: Windsor.ai 9.2, Supermetrics 7.9
See the G2 comparison of Supermetrics and Windsor.ai
G2 comparison page, checked 27 October 2026. Windsor.ai has 90 reviews and Supermetrics 820+, so Windsor.ai’s scores come from a smaller sample. The time to go live rests on 16 Windsor.ai answers (182 for Supermetrics), and the return on investment on 12 (160 for Supermetrics).
Faster to go live
Teams go live with Windsor.ai in about 1 month and with Supermetrics in about 2, based on G2 reviews.
Return on investment sooner
Reviewers report a return on investment after 6 months with Windsor.ai and 16 months with Supermetrics.
How Omnicom Media Group Hong Kong replaced Supermetrics with Windsor.ai to accelerate omnichannel reporting through Google-native pipelines.
Annual budget saved after migrating from Supermetrics’ premium connectors
$36K+Hours saved per week by automating data extraction and retiring CSV- and script-based workflows
40+
About Windsor.ai
Windsor.ai has no-code connectors that pull data from 350+ marketing, sales, CRM, e-commerce, and accounting apps. With Windsor.ai, you can:
- send that data to Claude, ChatGPT, spreadsheets, BI tools, and data warehouses
- build pipelines that refresh on a schedule, with no CSV exports
About this comparison
This page is on windsor.ai, so we have a reason to rank ourselves first. We use Windsor.ai every day, so we made new accounts on both tools for this test on 27 October 2026. We connected the same test GA4 property and Search Console site to both. Then we gave Claude the same three prompts through each connector, with the same Claude model, and ran each prompt 3 times. We checked G2’s comparison page and both pricing pages (windsor.ai/pricing and supermetrics.com/pricing) the same day. Prices change, so check them again before you buy.
Victor Bercea, Content Manager at Windsor.ai, ran the test and wrote this comparison.
FAQs
Is Windsor.ai cheaper than Supermetrics?
Yes, for a solo marketer ($19 against €117, about $130) and for 10 sources sent to one destination ($249 against €246, about $274). The agency setup needs a Supermetrics Enterprise quote. Windsor.ai Basic costs $19/mo for 3 sources and any destination (5 destination tasks). Supermetrics Starter costs €39/mo (about $43) for 2 sources and 1 user. For 10 sources, the comparison is Windsor.ai Plus against Supermetrics Growth with 3 extra sources. Dollar amounts use the ECB rate of 27 October 2026.

When is Supermetrics the better choice?
If you already pay for Supermetrics Growth and report only in Sheets, staying costs about $25 a month more than Windsor.ai Plus for 10 sources, with no migration work. Supermetrics also has a much larger G2 review base (820+ reviews against Windsor.ai’s 90). Supermetrics’ Business Context feature saves reporting rules, such as a fixed reporting currency, and Claude or ChatGPT applies them in every chat. Supermetrics’ write actions also come with two safeguards: changes go to a changelog, and you turn write access on for each ad platform.
Does Supermetrics work with Claude?
Yes. Claude, ChatGPT, and Copilot are core destinations on every Supermetrics plan. On Starter and Growth, an AI assistant uses your one included destination. A second destination, such as Data Studio or Sheets, costs extra. On Windsor.ai Basic ($19/mo), Claude, Data Studio, and Sheets share one plan.
Does Windsor.ai support AI assistants like Claude and ChatGPT?
Yes. Windsor.ai is listed natively in Claude’s connector directory and ChatGPT’s plugin directory, so you add it in one click. It also works with Copilot and Gemini Enterprise. On 19 platforms, including Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, and Microsoft Ads, the assistant can also make changes for you. See the full list of write actions.
Which Supermetrics data sources are Enterprise only?
Supermetrics lists 39 premium sources on Enterprise only, including Salesforce, DV360, Campaign Manager 360, Search Ads 360, Google Ad Manager, Criteo, X Ads, and The Trade Desk.
Can I send data to BigQuery or Snowflake without an Enterprise plan?
Yes, on Windsor.ai. Warehouses such as BigQuery and Snowflake are on every plan. After its first 30 days, the free forever plan covers 1 source and 1 account. For more warehouse syncs or backfills, paid plans start at $19/mo. On Supermetrics, data warehousing is an Enterprise feature.
Does Windsor.ai have predefined BigQuery or Snowflake table schemas like Supermetrics?
No. Windsor.ai has no fixed schema catalog. Instead, you describe what you need to Claude or ChatGPT with Windsor.ai connected: the platform, the fields, and how you will query the table. The assistant drafts the columns, partitioning, and clustering. You review the design and apply it in the Windsor.ai dashboard in a couple of clicks.
How do I migrate my Supermetrics BigQuery or Snowflake setup to Windsor.ai?
Connect the same data sources in Windsor.ai, then ask Claude or ChatGPT, with Windsor.ai connected, to copy or improve your existing table design. You can start with prompts like these.
I'm moving my Meta Ads reporting from Supermetrics to Windsor.ai. My old BigQuery table was partitioned by day and clustered by campaign_id. Help me set up the same destination task in Windsor.ai: which fields to pull, and how to set partitioning and clustering to keep query costs down.
Design a BigQuery table for my Google Ads spend and conversions, refreshed daily, that I can filter fast by account and campaign. Which fields should I include, and what partitioning and clustering do you recommend?
I have five Supermetrics tables (Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, GA4) that I want to merge into one blended reporting table in Snowflake. Help me design the schema and pick the fields from each source so they join cleanly on date and account.
Here's the column list from my old Supermetrics BigQuery export: [paste column names]. Map these to the closest Windsor.ai fields and recommend a table structure for the same report.
Can I move my Data Studio reports from Supermetrics to Windsor.ai?
Yes. First, add the Windsor.ai connector as a data source in Data Studio. Then make a copy of the report. In the copy dialog, replace each Supermetrics data source with the Windsor.ai data source you just added. Field names can differ between the two tools. Charts that use fields with different names need the field picked again.
How do I migrate Google Sheets queries from Supermetrics?
Install the Windsor.ai Sheets add-on and recreate each query: pick the data source, accounts, fields, and schedule. Supermetrics queries do not import automatically. Start with the sheets your reports depend on.
Can I bring my Supermetrics custom fields to Windsor.ai?
Yes, for formulas on one source’s fields. Copy those formulas from Supermetrics and ask Claude, connected to Windsor.ai, to recreate them as Windsor.ai custom fields. Claude checks the field names on each connector and shows you every formula before it creates one. A Supermetrics formula that mixes fields from several sources won’t carry over, because a Windsor.ai custom field works on one connector’s fields. Rebuild those as calculated fields in your report or warehouse. See how to migrate custom fields with Claude.
Do I keep my historical data when I switch?
Yes, as far back as each platform’s API allows. On paid plans, Windsor.ai reads history directly from each platform, so you import nothing from Supermetrics. History older than a platform’s API limit exists only in your old Supermetrics exports, so keep those.
Can I combine several ad platforms in one table?
Yes. Through the blended Windsor.ai connector, spend, clicks, and impressions from the ad platforms you connect come under the same field names, with a data source column. One table or chart can show Google Ads, Meta Ads, TikTok Ads, and LinkedIn Ads together.
Who has switched from Supermetrics to Windsor.ai?
Omnicom Media Group Hong Kong moved its pipeline for about 1,900 ad accounts on 11 platforms from Supermetrics to Windsor.ai. Windsor.ai now loads the data into BigQuery in under two hours. The team saves 40+ hours a week that went into manual CSV exports and script upkeep. Chris Kwok, Head of Data & Analytics, said: “Windsor.ai turned our tangled web of scripts into a single, dependable pipeline.” Read how Omnicom Media Group Hong Kong moved to Windsor.ai.
Which tool is better for agencies?
Windsor.ai, if your team needs more than 2 users or a warehouse. Every paid Windsor.ai plan has unlimited users at no extra cost, and Standard ($99/mo) covers 7 sources and 75 accounts in total with any destination. Supermetrics Growth (€159/mo, about $177 at the ECB rate of 27 October 2026) includes 2 users and 7 accounts per source, with up to 20 accounts per source through paid add-ons. If your clients connect their own accounts, Windsor.ai’s Enterprise plan offers white-labeling. The authorization links those clients use then carry the agency’s brand name and colors.
Is there a free plan?
Yes. Windsor.ai has a free forever plan with no credit card. For the first 30 days, you can connect up to 10 sources and 15 accounts and run 5 destination tasks. After that, the free plan covers 1 user, 1 source, and 1 account, with every destination, warehouses included. Supermetrics has no free plan. It has a 14-day free trial.
Try Windsor.ai free with your own data
Free forever plan, no credit card. Paid plans from $19/mo. To see how it works first, read how to connect Windsor.ai to Claude or how to send your data to BigQuery.


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