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Windsor vs Supermetrics
Windsor vs Funnel.io
Windsor vs Fivetran
Windsor vs Rivery
Windsor vs Portermetrics
Windsor vs Coupler.ioWindsor.ai vs Porter Metrics: pricing, data sources, and a side-by-side test in Claude
Windsor.ai vs Porter Metrics: feature comparison
$19/mo(Basic, billed annually: 3 data sources, 75 accounts, and every destination)
$12.50/mo for 1 accountBilled annually ($15 billed monthly). 3 accounts cost $33.30/mo billed annually (3 × $11.10). Prices from portermetrics.com/en/pricing
Tiered plans with no paid add-onsPriced by the number of sources and accounts
Price per connected accountWith volume discounts. 10 client ad accounts on Meta Ads count as 10 accounts
✅ YesAny of the 350+
✅ YesAll 30+ on every plan
✅ BigQuery, Snowflake, Redshift, Databricks, and moreOn every plan, including the free forever plan
⚠️ BigQuery onlyPorter Metrics reads Snowflake and PostgreSQL as sources
✅ Data Studio, Google Sheets, Excel, Power BI, Tableau, and moreTableau through Sheets or a database
Data Studio, Google Sheets, and Power BI
✅ Listed in Claude's connector directory and ChatGPT's plugin directoryEvery plan, including the free forever plan
✅ Listed in Claude's connector directory and ChatGPT's plugin directoryEvery plan, including the free plan
✅ Every planOn Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads, and more. See the full list of write actions
Separate Automation plan billed in credits100 credits a month free, paid plans from $28/mo billed monthly. One credit is one completed task
✅ Every plan
✅ Every planIncluding the free plan
✅ Unlimited on every paid plan
✅ Unlimited on paid plans
Enterprise planAuthorization links in your agency's brand
✅ Paid plansClient branding in dashboards, no Porter badge
✅ Free forever plan, no credit card1 user, 1 source, 1 account, and up to 30 days of history
✅ 14 days of full access, then a free planUnlimited accounts, up to 30 days of history (15 days in AI chats), and a Porter badge on dashboards
⭐ 4.4 from 90 reviews
⭐ 4.6 from 300+ reviews
Solo marketer
- Google Ads, Meta Ads, and GA4
- One account each
- 2 destinations (Data Studio and Claude)
You choose...
Windsor.ai
Porter Metrics
Key benefitAdd up to 72 more Google Ads, Meta Ads, or GA4 accounts (75 minus 3) without changing plan.
Marketing agency
- Google Ads, Meta Ads, and GA4
- 40 client accounts across the three platforms
- 2 destinations (Data Studio and Claude)
You choose...
Windsor.ai
Porter Metrics
Key benefitNew client accounts don't raise your bill until you pass 75.
Many platforms, one account each
- 10 data sources
- One account each
- 1 destination (Data Studio)
You choose...
Windsor.ai
Porter Metrics
Key benefitIf you add a warehouse later, Snowflake, Redshift, and Databricks are already on your plan.
Windsor.ai and Porter Metrics side by side in Claude
We gave Claude the same three prompts through each connector on 29 October 2026, in claude.ai with Claude Opus 5.5. Both tools queried the same GA4 property and Search Console site. We ran each prompt once per tool, in a new chat with only that tool’s connector turned on. We checked the prompt 1 answers against GA4’s own report.
Our Windsor.ai account already existed, and we did not time a signup on either tool. Windsor.ai’s tool calls were already set to run without approval in our account. Porter Metrics asked for approval on each call, and its times include those clicks. Windsor.ai ran on our Enterprise plan, and Porter Metrics on its 14-day free trial, which has full access. No Windsor.ai run used cached data.
Prompt 1: GA4 sessions and bounce rate
Compare GA4 sessions and bounce rate for [site] for 21 October to 27 October 2026 against 14 October to 20 October 2026.
Both tools returned the same figures. For 21 to 27 October, both matched GA4: 1,055 sessions and a 77.0% bounce rate. For 14 to 20 October, both returned the sum of GA4’s daily figures, 1,093 sessions, while GA4’s weekly report shows 1,097. Engaged sessions were 234 in both, so the bounce rate is 78.6% in the answers and 78.7% in GA4.
- Windsor.ai: answered in under 30 seconds. Claude made 3 tool calls and got no errors.
- Porter Metrics: answered in about 90 seconds. Claude made 6 tool calls and got no errors.
Prompt 2: Blending Search Console and GA4 data
Blend Search Console clicks and GA4 organic sessions by day for [site] 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.
Both answers built the same day-by-day table, for example 83 Search Console clicks against 133 GA4 organic sessions on 14 October. Both flagged the same 7 days as more than 20% apart: 14, 15, 17, 19, 21, 22, and 23 October. Both said most of the gap came from GA4 counting Bing and other search engines that Search Console does not cover. On Google traffic alone, both flagged only 20 October, as a likely tracking or consent problem.
Our own pull of the same data gave the same result. From 14 to 24 October, GA4 counted 243 organic sessions from Bing and other engines. Google organic sessions came to 736 against 763 Search Console clicks, and only 20 October was more than 20% apart (56 sessions against 77 clicks). Porter Metrics’ answer called the Bing traffic likely bot traffic, because most of it had no engagement. Windsor.ai’s answer said it came from desktop use on weekdays.
- Windsor.ai: answered in about a minute. Claude made 8 tool calls and got no errors.
- Porter Metrics: answered in about 2 minutes. Claude made 8 tool calls and got no errors.
Prompt 3: A vague question
What's my conversion rate on [site], 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.
Both answers said GA4’s own conversion rate is 0%, because the property has no key events set up, and both used outbound clicks as a stand-in. Windsor.ai’s answer looked at the last 90 days and gave about 1.4%: 159 outbound clicks across 11,174 sessions. Porter Metrics’ answer looked at the last 30 days and gave 1.4% of sessions when any outbound click counts as a conversion, and 0.18% of sessions when only affiliate clicks count. With different date ranges, the two answers named different landing pages as the weakest.
- Windsor.ai: answered in about 70 seconds. Claude made 6 tool calls and got no errors.
- Porter Metrics: answered in about 3 and a half minutes. Claude made 14 tool calls and got no errors.
In total, Claude made 17 tool calls through Windsor.ai and 28 through Porter Metrics.
How G2 reviewers rate Windsor.ai and Porter Metrics
- Meets Requirements: Windsor.ai 8.8, Porter Metrics 8.7
- Ease of Use: Windsor.ai 8.2, Porter Metrics 8.9
- Ease of Setup: Windsor.ai 8.1, Porter Metrics 8.8
- Ease of Admin: Windsor.ai 8.6, Porter Metrics 8.7
- Quality of Support: Windsor.ai 8.9, Porter Metrics 8.5
- Good Partner in Doing Business: Windsor.ai 9.2, Porter Metrics 8.8
- Product Direction: Windsor.ai 9.2, Porter Metrics 9.2 (tied)
See the G2 comparison of Porter Metrics and Windsor.ai
G2 comparison page, checked 30 October 2026. On G2, 56 Windsor.ai reviewers rated support and 34 rated partnership, against 215 and 149 for Porter Metrics.
Support rated higher
G2 reviewers rate Windsor.ai’s quality of support 8.9 out of 10 and Porter Metrics’ 8.5.
Rated higher as a business partner
Windsor.ai scores 9.2 as a business partner, against 8.8 for Porter Metrics.
About Windsor.ai
Windsor.ai has no-code connectors that pull data from 350+ marketing, sales, CRM, e-commerce, and accounting apps. You can send that data to Claude, ChatGPT, spreadsheets, BI tools, and data warehouses, and schedule syncs to keep warehouses and Sheets up to date.
About this comparison
This page is on windsor.ai, so we have a reason to rank ourselves first. We use Windsor.ai every day, and a new user’s setup may take longer than ours. On 29 October 2026, we ran the test above on one test GA4 property and its Search Console site, in claude.ai with Claude Opus 5.5, once per prompt for each tool. The same day, we connected a Porter Metrics account to Claude and counted 38 data sources through its connector (Porter Metrics’ pricing page says 30+). We checked G2’s comparison page and both pricing pages (windsor.ai/pricing and portermetrics.com/en/pricing) again on 30 October 2026. Prices change, so check them again before you buy.
Our customer success stories
Spain
Marketing Agency
Data sources:
Destinations:
How Ranking Online saves €21,600 per year on reporting and optimizes lead-gen campaigns in real time with Windsor.ai + Claude
Saved per year on reporting
€21,600Hours saved per week
15+
United States
Media & Advertising
Data sources:
Destinations:
How Grain Group built an AI-ready data stack and reduced BigQuery costs by 90% after switching from Supermetrics to Windsor.ai.
Reduced BigQuery cloud compute costs by
90%Saved hours of manual historical data reconciliation
up to 40
United States
Media & Advertising
Data sources:
Destinations:
How The Wanamaker Project replaced Funnel.io with Windsor.ai to build a scalable ELT pipeline for Google Sheets and BigQuery while avoiding a 400% forced price increase.
Prevented an unexpected connector plan price hike
400%Automated daily reporting in Google Sheets across multiple accounts
30+
Hong Kong
Media & Communications
Data sources:
Destinations:
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+
Mexico
FinTech
Data sources:
Destinations:
How Kueski replaced fragmented, manual reporting with Windsor.ai’s automated data integration into BigQuery and improved attribution accuracy with algorithmic MTA.
Hours saved per week from manual data gathering and reporting
15+Created a single source of truth in BigQuery for all marketing channels
14+
Germany
Media & Advertising
Data sources:
Destinations:
How kreativkarussell replaced fragmented, manual reporting processes with a scalable, automated data pipeline by implementing Windsor.ai's native Looker Studio connectors.
Hours saved per week from manual data aggregation, transformation, and reporting
25+Refresh interval for Looker Studio dashboards fed automatically from multiple platforms
12 hrs
Finland
Digital Marketing
Data sources:
Destinations:
How a Finnish digital agency connected all its marketing and CRM data into a single BigQuery warehouse and real-time Tableau dashboards with Windsor.ai.
Connected several data sources in a single BigQuery project
5Reduced reporting time through a fully automated ELT pipeline by
80%
Asia-Pacific
Resorts & Hotels
Data sources:
Destinations:
How a renowned resort company in the Asia Pacific region boosted ROI by uncovering the hidden power of upper-funnel media channels with Windsor.ai.
Data-backed media allocation increased ROI by
28%Ad channels connected for cross-platform insights
5+
France
Retail & Sporting Goods
Data sources:
Destinations:
How a global retail giant centralized web and app data across all stores to automate reporting, boost productivity, and enhance campaign performance.
Unified distributed marketing data from global stores
1647Hours of manual work saved every week
40+
Denmark
Engineering
Data sources:
Destinations:
How a Danish engineering giant boosted marketing ROI by unifying media, analytics, and CRM touchpoints in a centralized BigQuery data warehouse and Power BI dashboards using Windsor.ai ELT platform.
Understanding CRM revenue contribution down to a keyword and ad level helped to increase the ROI by
35%Aggregated data from multiple marketing channels and business tools
5+
UK
Consumer Electronics
Data sources:
Destinations:
How a British loudspeaker manufacturer boosted ROI by aligning media costs with revenue across all channels using Windsor.ai data integration software.
Connecting marketing costs to attributed revenue across channels helped boost ROAS by
32%Identifying ineffective campaigns and reallocating budgets to high-performing channels reduced waste by
79%
Australia
Digital Marketing
Data sources:
Destinations:
How an Australian Google Premier Partner integrated performance marketing and CRM data using Windsor.ai to cut cost per opportunity and drive more qualified leads for clients.
Decreased the CPA of clients’ campaigns by
19%Cut time spent on media reporting and optimization by
50%
Hong Kong
Media & Advertising
Data sources:
Destinations:
How iProspect connected CRM and analytics data with Windsor.ai to unlock full-funnel attribution and cut reporting time in half.
Got operational savings just two weeks after deployment, equal to
1 FTEReduced manual data aggregation, transformation, and reporting tasks by over
50%
Indonesia
E-commerce
Data sources:
Destinations:
How one of Indonesia’s top coffee e-commerce brands unified all marketing data using Windsor.ai to achieve complete transparency into ad spend and performance.
Reduced time spent on manual data integration and reporting by over
50%Improved conversion tracking accuracy by
85%
Australia
Education
Data sources:
Destinations:
How the global leader in creative media education used Windsor.ai to connect analytics and CRM data to map the full customer journey, reducing cost per enrollment and boosting lead volume.
Reduced cost per enrolment by
22%Increased lead volume by
25%
Switzerland
Banking
Data sources:
Destinations:
How a popular Swiss credit card issuer unified siloed marketing data and cut the cost per lead by half with Windsor.ai data connectors.
Optimized cost per lead by
47%Unified all marketing spend and performance data
100%
Singapore
Internet Service Provider
Data sources:
Destinations:
How a leading Singaporean ISP maximized ROI by accurately evaluating channel efficiency and reallocating budget to top-performing campaigns with Windsor.ai.
Increased the number of signups by more than
45%Reduced the overall cost per signup by
48%
Switzerland
Manufacturing
Data sources:
Destinations:
How the maker of the original Swiss Army Knife connected all their marketing data with Windsor.ai, cutting wasted spend and boosting global sales.
Gained full ROI visibility across multiple channels
5+Return on ad spend has increased by
67%
Global
Education
Data sources:
Destinations:
How a global school brand connected cross-channel data using Windsor.ai and more than doubled student online applications in just one year.
The quality of leads increased in the range of
21-28%The annual number of student applications grew
2x
Germany
Retail & E-commerce
Data sources:
Destinations:
How a popular German home improvement online shop used Windsor.ai to integrate multi-channel data for product-level ROAS measurement and data-driven budget optimization across EU markets.
Unified ROAS view across multiple marketing channels
6+Reduced manual time spent calculating true ROAS by
25%
UK
Investment & Financial Services
Data sources:
Destinations:
How Windsor.ai helped a global investment firm unify cross-channel data, eliminate attribution bias, and reduce cost per acquisition through centralized, real-time marketing analytics.
Reduced overall marketing CPA by
41%Automated data refresh latency minimized to
1 hr
Switzerland
Culinary & Publishing
Data sources:
Destinations:
How comprehensive data integration through Windsor.ai empowered a top Swiss culinary brand to optimize marketing ROI by over 16%.
Data-driven insights increased ROI by
16%End-to-end ELT pipeline that automatically syncs cross-channel data every
12 hrs
Switzerland
Automotive
Data sources:
Destinations:
How a top Swiss car importer unified CRM and web analytics data with Windsor.ai, eliminating data silos and unlocking cross-channel insights.
Unified fragmented data from multiple platforms
5+Cut attribution reporting time by
60%
Switzerland
Travel & Leisure
Data sources:
Destinations:
How a global online travel agency group unified affiliate marketing data streams and streamlined financial reporting using Windsor.ai data integration platform.
Unified all affiliate data sources
100%Reduced reporting workload by
60%
FAQs
Is Windsor.ai cheaper than Porter Metrics?
Yes, when you have several accounts on each platform. No, when you connect many platforms with one account each. With annual billing, 3 sources with one account each cost $19/mo on Windsor.ai and $33.30/mo on Porter Metrics (3 × $11.10). 40 accounts on 3 platforms cost $19/mo on Windsor.ai Basic and $150/mo on Porter Metrics (40 × $3.75). 10 platforms with one account each cost $249/mo on Windsor.ai Plus and $66.70/mo on Porter Metrics (10 × $6.67).
When is Porter Metrics the better choice?
Porter Metrics costs less if you report on 4 or more platforms with one account on each, and if you only need BigQuery, Data Studio, Google Sheets, or Power BI. G2 reviewers rate it higher on ease of use and ease of setup, and it has 300+ reviews against Windsor.ai’s 90. The Porter Metrics free plan allows unlimited accounts with up to 30 days of history. Its paid plans include white-labeled dashboards, its Automation plans add SEO and competitor research, and the Grow plan adds creative generation.
How does Porter Metrics pricing work?
Porter Metrics charges per connected account, with volume discounts. One ad account, GA4 property, or store is one account, and every 10 Google Business Profile locations count as one. Billed monthly, 1 account costs $15, 3 cost $39.99, and 40 cost $180 (40 × $4.50). Annual billing gives 2 months free, about 17% off. See Porter Metrics pricing.
Does Porter Metrics work with Claude and ChatGPT?
Yes. Porter Metrics is listed in Claude’s connector directory and ChatGPT’s plugin directory, on every plan, including the free plan. Write actions in your ad and social platforms need a Porter Metrics Automation plan, billed in credits.
Does Windsor.ai support AI assistants like Claude and ChatGPT?
Yes. Windsor.ai is listed 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. Every plan connects all your sources to the assistant. On Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads, and other platforms, the assistant can also make changes in your ad accounts. See the full list of write actions.
Can Porter Metrics send data to Snowflake?
No. Porter Metrics sends scheduled exports to BigQuery and Google Sheets and connects to Data Studio and Power BI. It reads Snowflake as a source only. Windsor.ai sends data to Snowflake on every plan.
Does Porter Metrics charge extra for data blending?
No. Data blending and custom fields are on every Porter Metrics plan, including the free plan. On Windsor.ai, blending is on every plan too. The blended Windsor.ai connector puts spend, clicks, and impressions from the ad platforms you connect under the same field names, with a data source column.
Which tool is better for agencies?
Windsor.ai, if you manage many client accounts on a few platforms or need a warehouse other than BigQuery. Standard covers 7 sources with hourly syncs for $99/mo. Porter Metrics, if you want white-labeled client dashboards, which come with every paid Porter Metrics plan. On Windsor.ai, white-labeling is on the Enterprise plan, where the authorization links your clients use carry your agency’s brand name and colors. Both tools include unlimited users on paid plans.
How often do scheduled syncs run?
On Windsor.ai, scheduled syncs to warehouses and Sheets run daily on Basic, hourly from Standard, and every 15 minutes on Professional. Porter Metrics lets you schedule BigQuery and Google Sheets exports hourly, daily, weekly, or monthly. See the refresh frequency for each plan.
Is there a free plan?
Yes, on both. 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 up to 30 days of history and every destination, warehouses included. Porter Metrics gives 14 days of full access, then a free plan with unlimited accounts, up to 30 days of history, and a Porter badge on dashboards.
How do I move my Data Studio reports from Porter Metrics to Windsor.ai?
First, add the Windsor.ai connector for each source as a data source in Data Studio. Then open the report and make a copy. When Data Studio asks for the new data sources, pick the matching Windsor.ai data source for each Porter Metrics source. If a chart uses a field that has a different name in Windsor.ai, pick that field again in the chart.
How do I move my BigQuery or Google Sheets exports?
Connect the same sources in Windsor.ai, then recreate each export as a destination task. For BigQuery, you can ask Claude or ChatGPT, with Windsor.ai connected, to suggest the fields, partitioning, and clustering for the table, for example with either of these two prompts.
I'm moving my Meta Ads and Google Ads exports from Porter Metrics to Windsor.ai. My old BigQuery table had one row per day and campaign. Help me set up the same destination task in Windsor.ai: which fields to pull, and how to set partitioning and clustering.
Here's the column list from my old Porter Metrics export: [paste column names]. Map these to the closest Windsor.ai fields.
Do I keep my historical data when I switch?
Yes, as far back as each platform’s API allows. On paid plans, Windsor.ai pulls past data from Google Ads, Meta Ads, GA4, and your other platforms up to that limit. Keep your old Porter Metrics BigQuery tables and Sheets for anything older.
Try Windsor.ai free on your own accounts
Free forever plan, no credit card. Paid plans from $19/mo. To see the setup first, read how to connect your marketing data to Claude or how to send marketing data to BigQuery.
