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Funnel vs Porter Metrics

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 Funnel

Same layer of the stack, opposite ends of the market. Funnel is a governed marketing data platform with roughly 590 sources, real transformation and currency harmonisation, SOC 2 and GDPR posture, and export into any warehouse or BI tool, starting around $300 a month. Porter covers 26 sources, blends them automatically, writes to six destinations, and starts at $15 per account. If you need broad source coverage, auditable transformation rules, or a compliance document, Funnel is the correct product and Porter cannot substitute for it at any price. If your data is entirely mainstream marketing platforms and the requirement is a Looker Studio report that reconciles, Funnel is roughly an order of magnitude more capability and cost than the job requires. Both leave the dashboard to something else, which is what makes them comparable at all.

Choose Funnel if

Larger agencies, in-house performance teams, and multi-market advertisers with many data sources and more than one downstream consumer of the numbers: the buyer who needs one governed definition of spend and revenue feeding a warehouse, a BI tool, and a client dashboard at the same time.

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.

Side by side

13 attributes
AttributeFunnelPorter Metrics
CategoryReportingReporting
Starting priceAbout $300 per month on Starter, billed annually (14 days trial)$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)
Pricing modelTwo components: a plan fee that determines which connectors, destinations, and features you can use, plus Flexpoints, a usage meter consumed by the data sources you connect, the volume you pull, and the transformations you apply. Plans are quoted billed annually. Funnel Measure is a separate add-on requiring Business or Enterprise.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 planNoFree 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.
Free trial14 days on the Starter plan, with unlimited Flexpoints during the trial14 days, unlimited accounts, no credit card required; the account downgrades automatically to the free forever plan afterwards
Best forLarger agencies, in-house performance teams, and multi-market advertisers with many data sources and more than one downstream consumer of the numbers: the buyer who needs one governed definition of spend and revenue feeding a warehouse, a BI tool, and a client dashboard at the same time.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.
Setup timeConnecting the first sources takes an afternoon, and historical data lands automatically. Building the semantic layer, the part that produces the actual value, typically takes two to six weeks depending on how many markets, currencies, and inconsistent naming conventions you are reconciling.Under 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.
Learning curveSteep for anyone who has not worked with a data model before. The connector setup is easy; the rules engine, custom dimensions, and metric definitions reward someone who thinks in schemas, and reviewers frequently note that in-product guidance is thinner than the complexity warrants.Low 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.
PlatformsWeb application, Cloud data warehouse destinations, BI tool connectors, Model Context Protocol serverWeb 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 clients
ComplianceGDPR, SOC 2 Type II, ISO 27001No 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 holds
Founded20142020
HeadquartersStockholm, SwedenLewes, Delaware, United States, with the team based in Manizales, Caldas, Colombia
OwnershipIndependent, venture-backedIndependent, angel and accelerator backed

Strengths and limitations

Funnel

Strengths

  • The strongest data modeling layer in marketing reporting: business definitions, derived metrics, and dimension parsing live in one place and propagate to every destination.
  • Connector breadth and maintenance quality, including historical backfill and re-fetching of restated platform figures rather than freezing whatever was true on pull day.
  • Multi-currency handling that is a first-class feature rather than a spreadsheet workaround, which is decisive for multi-market advertisers.
  • Vendor-neutral about presentation: the same modeled data feeds Sheets, Looker Studio, Power BI, Tableau, and a warehouse, so you are not locked into the vendor's charting.

Limitations

  • The Flexpoints meter makes bills genuinely hard to forecast; users consistently report costs climbing well beyond the plan fee as sources and destinations accumulate.
  • No free plan since early 2026, and only a 14-day trial with unlimited Flexpoints, which tests features but not what your real usage will cost.
  • Entry pricing of roughly $300 per month billed annually puts it out of reach for small agencies that a cheaper client-reporting tool serves adequately.
  • Enterprise pricing is quote-only, and Snowflake, SSO, SCIM, and audit logs all sit behind that unpublished number.

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.

Pricing compared

Funnel

Two components: a plan fee that determines which connectors, destinations, and features you can use, plus Flexpoints, a usage meter consumed by the data sources you connect, the volume you pull, and the transformations you apply. Plans are quoted billed annually. Funnel Measure is a separate add-on requiring Business or Enterprise.

  • StarterAbout $300
  • BusinessAbout $600
  • EnterpriseCustom quote

Funnel is priced as infrastructure, and it is worth infrastructure money only when the data problem is real: many sources, several currencies or markets, and more than one downstream consumer that must agree on the numbers. In that situation the semantic layer is genuinely difficult to replicate and cheaper tools do not attempt it. Below that threshold the value is poor. An agency with five clients on three platforms is paying enterprise plumbing rates for a job a connector tool plus a reporting front end does for a fraction of the price, and the Flexpoint meter adds cost variance that small firms tend to price badly. The honest test is whether anyone in your organization currently spends days reconciling marketing numbers by hand; if not, Funnel is over-specified for you.

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.

Editorial verdict on each

Funnel

Funnel is the most serious data-modeling product in marketing reporting, and it is priced accordingly. The semantic layer, currency handling, campaign-name parsing, and restatement-aware collection solve problems that cheaper tools in this category do not attempt, and the vendor-neutral export story means you can keep your existing dashboards and warehouse. It is also the least small-business-friendly tool here: the free plan is gone, list pricing starts near $300 per month billed annually, Enterprise is quote-only, and the Flexpoints meter makes forecasting the real bill genuinely difficult, which is the complaint that appears most often in customer reviews. Buy it when marketing numbers are reconciled by hand across many sources and markets and the reconciliation itself has become the bottleneck. If the requirement is client dashboards for a handful of accounts, look further down the price list and revisit Funnel when the data problem is real.

Read the full Funnel profile

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

Funnel profile last reviewed 2026-08-23; Porter Metrics last reviewed 2026-08-30. Pricing is compiled from public sources and can change without notice. See our methodology.