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Porter Metrics vs Supermetrics

An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.

The short answer

Editorial assessment

Porter Metrics compared with Supermetrics

The direct head-to-head, and the cleanest way to see what Porter is. Both sell an API layer between marketing platforms and a destination. Supermetrics wins on catalogue with 150-plus connectors against Porter's 26, and on enterprise credentials with SOC 2, SAML SSO, data residency controls, Snowflake and BigQuery warehouse destinations, and a documented data API. Porter wins on packaging and on the modelling layer: Supermetrics Starter at 49 euros a month buys one destination, one user, and three data sources, and each further destination, user, or ad account is a separate charge, while Porter's $39.99 for three accounts includes every destination, unlimited users, automatic blending, alerting, and 60 templates. The decision rule is unusually crisp. If every platform you report on is inside Porter's 26, Porter is cheaper, simpler, and does more of the modelling for you. If even one is not, or if procurement wants a SOC 2 report, Supermetrics is the answer and the comparison is over.

Choose Porter Metrics if

Small marketing teams, ecommerce brands, and agencies that already report in Looker Studio, Google Sheets, or Power BI, whose data lives in the mainstream ad, social, ecommerce, and CRM platforms Porter covers, and who want cross-channel blending and a warehouse without hiring anyone to build one. It is at its strongest for a business connecting somewhere between three and twenty accounts.

Choose Supermetrics if

Marketing agencies producing recurring client reports, in-house teams who live in Google Sheets or Looker Studio, and any business that wants marketing data in a warehouse without building and maintaining API connectors themselves.

Side by side

13 attributes
AttributePorter MetricsSupermetrics
CategoryReportingAnalytics
Starting price$0 on the free forever plan (3 accounts, 30-day lookback); $15 per account per month thereafter, or $12.50 billed annually (free plan available)€49 per month (Starter), or €39 per month billed yearly (free plan available)
Pricing modelCharged per connected data source account, where an account means one ad account, one analytics property, one business profile, one store, or one CRM portal, with ten Google Business Profile locations counting as a single account. There are no seat charges, no per-destination charges, and no premium connectors: every destination, blending, templates, custom fields, alerts, and the MCP server are included on every plan including the free one. The per-account rate falls as the account count rises. Annual billing gives two months free, roughly 16.6 percent.Subscription tiered by the number of connected data sources, accounts per source, user seats, and refresh frequency, with one core destination per self-serve plan and explicitly no data volume fees.
Free planFree forever: 3 data source accounts, 30-day data lookback, all destinations including BigQuery and the MCP server, automatic data blending, and all features. The lookback window is the only functional restriction.None; the trial is the evaluation path.
Free trial14 days, unlimited accounts, no credit card required; the account downgrades automatically to the free forever plan afterwards14 days, no credit card required
Best forSmall marketing teams, ecommerce brands, and agencies that already report in Looker Studio, Google Sheets, or Power BI, whose data lives in the mainstream ad, social, ecommerce, and CRM platforms Porter covers, and who want cross-channel blending and a warehouse without hiring anyone to build one. It is at its strongest for a business connecting somewhere between three and twenty accounts.Marketing agencies producing recurring client reports, in-house teams who live in Google Sheets or Looker Studio, and any business that wants marketing data in a warehouse without building and maintaining API connectors themselves.
Setup timeUnder an hour for a first working report. Sign in with the Google account you already use for Looker Studio, authorise a source by OAuth, select the accounts, and install a template through the Data Studio API with data already loaded. A blended multi-source connection with custom fields and a naming-convention parser is more like half a day. A BigQuery destination writing into your own Google Cloud project takes longer only because of Google's side of the setup.An hour for a first working report: authorise the sources, install the destination connector, define a query, and schedule the refresh. A full agency reporting template across a dozen clients is a week of design work, most of it in the destination rather than in Supermetrics.
Learning curveLow for a marketer, and deliberately so, because the modelling interfaces are natural language and visual builders rather than SQL. The concepts that take time are what counts as an account for billing, when a source should be switched to stored rather than live, and how the automatic blend has decided to map fields when two platforms disagree about what a campaign is. Analysts used to writing their own joins will find the absence of a SQL editor the hardest adjustment.Low if you can already build a spreadsheet or a Looker Studio report, since the Supermetrics part is choosing metrics, dimensions, and date ranges. The real skill required is knowing which metric from which platform means what, and that is a marketing analytics skill rather than a product one.
PlatformsWeb application at app.portermetrics.com, Looker Studio (Data Studio) connector via the Data Studio API, Google Sheets destination, Power BI connector, BigQuery destination into a customer-owned Google Cloud project, Hosted MCP server at mcp.portermetrics.com for Claude, ChatGPT, Gemini, and other MCP clientsGoogle Sheets add-on, Looker Studio connectors, Excel and Power BI connectors, Cloud data warehouse destinations, Web hub at hub.supermetrics.com
ComplianceNo SOC 2 Type 2 certification as of August 2026; the company states it is expected during 2026, The company's own documentation states the product is not GDPR compliant, and flags this specifically for European teams with data residency requirements, NDAs offered in place of certification, Read-only OAuth access to source platforms, revocable by the customer at any time, Customer-owned BigQuery project offered as the data-control answer, so warehoused data sits in infrastructure the customer holdsGDPR, SOC 2, ISO 27001, EU-based company and processing
Founded20202013
HeadquartersLewes, Delaware, United States, with the team based in Manizales, Caldas, ColombiaHelsinki, Finland
OwnershipIndependent, angel and accelerator backedVenture-backed; privately held and profitable

Strengths and limitations

Porter Metrics

Strengths

  • One pricing dimension. You pay for connected accounts and nothing else: no per-destination charge, no seat fees, no premium connectors, no feature gating between plans, which is a genuinely simpler bill than Supermetrics or most of the reporting suites.
  • Automatic cross-source blending with no schema work. Dates, campaign names, UTMs, spend, and revenue are unified across connected platforms without a join or a field-mapping exercise, which is the step that normally requires SQL or a data person.
  • Managed warehousing and backfill for the sources that break live connectors, specifically HubSpot, Shopify, ActiveCampaign, Amazon Seller, and large Google Business Profile accounts, with no warehouse to configure.
  • A real permanent free tier: three accounts with every feature and every destination, limited only by a 30-day lookback, plus a 14-day unlimited trial that downgrades to it automatically rather than expiring into a paywall.

Limitations

  • Connector breadth is the defining weakness and the company says so itself, calling 25 integrations against 150-plus on Supermetrics and 325-plus on Windsor the number one reason prospects who evaluate Porter decide not to buy. There is no Salesforce and no Go High Level connector, both on the roadmap and neither shipped.
  • Destination support is narrow. Looker Studio, Google Sheets, Power BI, BigQuery, Slack, and Zapier is the complete list. No Tableau, no Snowflake, no Redshift, no Amazon S3, no FTP.
  • No SOC 2 Type 2 certification as of August 2026, which the company states is expected during the year, and its own documentation says the product is not GDPR compliant. For a European team with data residency obligations or any buyer with a procurement checklist, that is a hard stop, and NDAs plus customer-owned BigQuery are the offered substitutes rather than a fix.
  • No SQL editor and no manual join control. Everything is modelled through natural language, visual builders, and AI, which is fast for a marketer and limiting for an analyst who wants exact control over metric definitions and transformations; verified reviewers describe complex bespoke modelling as requiring workarounds.

Supermetrics

Strengths

  • The largest and best-maintained marketing connector library in the category, with the vendor fixing connectors when platforms change their APIs rather than leaving your report broken.
  • No data volume fees on any package, so cost is decoupled from how much you spend on ads or how much traffic you get.
  • Destination-agnostic by design, so you keep Sheets, Looker Studio, Power BI, or your warehouse rather than being pushed into another vendor's dashboard.
  • Warehouse destinations and transformation tooling turn it into a genuine marketing data pipeline rather than just a reporting connector.

Limitations

  • It does no attribution whatsoever: the numbers it delivers are each platform's self-reported claims, so double-counting flows straight through into your report unchallenged.
  • Accounts-per-source allowances are the real constraint for agencies, and they are hit far sooner than the data source counts suggest.
  • Seat counts are low at one, two, and three users, with additional seats costing €37 to €124 a month each.
  • One core destination per self-serve plan means teams wanting both a spreadsheet and a BI dashboard need to check whether that is an add-on.

Pricing compared

Porter Metrics

Charged per connected data source account, where an account means one ad account, one analytics property, one business profile, one store, or one CRM portal, with ten Google Business Profile locations counting as a single account. There are no seat charges, no per-destination charges, and no premium connectors: every destination, blending, templates, custom fields, alerts, and the MCP server are included on every plan including the free one. The per-account rate falls as the account count rises. Annual billing gives two months free, roughly 16.6 percent.

  • Free forever$0
  • 1 to 2 accounts$15 per account
  • 3 to 12 accounts$39.99 to $96
  • 13 to 20 accounts$100
  • 21 to 199 accounts$105 to about $418
  • 200-plus accounts and BigQuery CustomFrom $400 per month, or from about $1,000 per month for the custom BigQuery arrangement

The honest way to price Porter is per connector against the two products it actually competes with, and the answer changes direction depending on how many accounts you have. For a single business connecting Meta Ads, Google Ads, and GA4 once each, Porter costs $39.99 a month and includes every destination, unlimited users, blending, and templates. Supermetrics' Starter plan at 49 euros a month covers three data sources but gives you one destination, one user, and three accounts per source, so the moment a second person or a second destination is involved Porter is meaningfully cheaper for the same coverage. Windsor.ai's Basic plan at $23 a month monthly ($19 annually) covers three data source types and up to seventy-five accounts, which at three accounts is cheaper than Porter and comes with a far larger connector catalogue. Push the count up and the picture inverts twice. At twenty accounts Porter is a flat $100 a month, against Windsor Standard at $118 ($99 annually) for seven source types and Supermetrics Growth at 199 euros for seven sources, two users, and seven accounts per source: Porter wins clearly. At sixty accounts across five platforms Porter charges $4 per account, about $240 a month, while Windsor Standard covers seventy-five accounts across seven source types for $99 annually, and Porter loses badly. The rule that falls out of this is specific: Porter is the best value in this category between roughly three and twenty-five connected accounts across a handful of platforms, and it is the wrong pricing model for an agency running dozens of accounts of the same source. Add the free forever plan, which no direct competitor of this shape matches in permanence, and the entry risk is close to zero either way.

Supermetrics

Subscription tiered by the number of connected data sources, accounts per source, user seats, and refresh frequency, with one core destination per self-serve plan and explicitly no data volume fees.

  • Starter€49
  • Growth€199
  • Pro€499
  • EnterpriseCustom

Judged against the labour it replaces, Supermetrics is easy to justify: €199 a month is a fraction of the cost of the two or three days a month an agency currently spends assembling reports by hand, and the maintained connectors mean nobody has to fix a broken API integration on a Sunday. The absence of data volume fees is a real structural advantage over dashboard tools that meter usage. What makes the pricing feel expensive is the allowance structure: low seat counts, one core destination, and accounts-per-source ceilings that agencies hit quickly, all of which push a genuinely small team from €49 to €199 faster than the tier list suggests. Price your actual account count before comparing against Databox, and be clear that you are buying plumbing rather than answers.

Editorial verdict on each

Porter Metrics

Porter Metrics is the connector layer, not the dashboard, and every sensible judgement about it follows from that. It does not compete with AgencyAnalytics, DashThis, or Whatagraph; it competes with Supermetrics and Windsor.ai, and inside that fight its case is packaging rather than breadth. One pricing dimension, every destination and every feature on every plan, automatic cross-source blending that removes the join nobody wants to write, managed warehousing for the APIs that break live connectors, a BigQuery dataset you own, and a permanent free tier make it the best value in this category for a business connecting roughly three to twenty-five accounts across mainstream marketing platforms. The disqualifiers are equally clear and the company states most of them itself: 26 connectors with no Salesforce, no Tableau or Snowflake destination, no SOC 2 Type 2 and an admission that the product is not GDPR compliant, no SQL editor, and a per-account model that turns expensive for an agency running dozens of accounts of the same source. Check your source list and your compliance checklist before anything else, because either one can end the evaluation in a minute. If both pass, start on the free plan, connect three accounts, and see whether a blended table that needed a data engineer last month arrives on its own this month.

Read the full Porter Metrics profile

Supermetrics

Supermetrics is infrastructure, and the right way to judge it is by the labour it removes rather than the features it lists. If your team currently loses days each month exporting from Meta, Google, LinkedIn, and GA4 into a template, €199 a month buys those days back and hands connector maintenance to someone else, with no data volume fees so your bill does not grow with your ad spend. The connector library is the deepest in the category and the company is the most established, which matters when a platform changes an API on a Friday. Two things to be clear about before buying: this does no attribution at all, so it faithfully reproduces the double-counted conversion numbers the ad platforms report, and the allowance structure around accounts per source and seats will push a small agency from €49 to €199 faster than the price list implies. Buy it as plumbing, pair it with an attribution tool if you need answers rather than numbers, and compare it directly against Databox if what you actually want is a dashboard.

Read the full Supermetrics profile

Porter Metrics profile last reviewed 2026-08-30; Supermetrics last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.