Looker Studio 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 assessmentPorter Metrics compared with Looker Studio
Not competitors; two halves of one deliverable. Looker Studio is the free canvas that draws the charts and has no way of its own to read Meta Ads, TikTok, Shopify, or HubSpot. Porter is one of the connector products that fills that gap, and it fills it more thoroughly than most because it connects through the Data Studio API to create reports with data already loaded, and because it blends across sources before the data arrives so the report is not doing five-table joins at render time. Buying Porter does not remove any of Looker Studio's own weaknesses: there is still no client concept, no version history, no report-grade PDF, and the page still renders at Google's speed. Price the pair honestly. A free canvas plus $40 a month of connectors is a $40-a-month reporting stack, and it should be compared against a $50-a-month reporting suite on that basis rather than described as free.
Choose Looker Studio if
Small businesses, in-house marketers, and solo or small agencies that report mainly on Google data, need attractive shareable dashboards at zero software cost, and are willing to build and maintain their own templates rather than buy a client-reporting workflow.
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| Attribute | Looker Studio | Porter Metrics |
|---|---|---|
| Category | Reporting | Reporting |
| Starting price | Free, unlimited reports and viewers; Pro from about $9 per licensed user per month (free plan available) | $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 model | Two tiers. The core product is free with no user, report, or viewer limits. The paid tier (Data Studio Pro, previously Looker Studio Pro) is licensed per user per month and is attached to exactly one Google Cloud project, so an organization running several projects buys several subscriptions. Costs that are not part of either tier, and usually dominate the real bill, are third-party connectors for non-Google data and BigQuery storage and query charges. | 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 plan | Full report building, all Google connectors, unlimited reports and viewers, one scheduled email delivery per report, 15-minute minimum data freshness, no SLA and no support channel | Free 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 trial | 30 days on Pro, with no cap on the number of users added to the trial | 14 days, unlimited accounts, no credit card required; the account downgrades automatically to the free forever plan afterwards |
| Best for | Small businesses, in-house marketers, and solo or small agencies that report mainly on Google data, need attractive shareable dashboards at zero software cost, and are willing to build and maintain their own templates rather than buy a client-reporting workflow. | 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 time | Minutes to a first Google-sourced chart, and typically half a day to a presentable multi-page client dashboard from a blank canvas. Adding non-Google data extends that to however long it takes to select, buy, and configure a connector, usually another day. A BigQuery-backed setup is a project measured in weeks, not hours. | 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 curve | Low to build something that works, moderate to build something fast and maintainable. The concepts that take time are data source versus report scoping, calculated field aggregation rules, blend join behaviour, and knowing when a page is slow because of blending rather than because of the source. | 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. |
| Platforms | Web browser, Looker mobile app (iOS and Android, for viewing), Embedded iframe and oEmbed, Google Workspace | Web 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 |
| Compliance | GDPR, SOC 1, SOC 2, SOC 3, ISO 27001, ISO 27017, ISO 27018, HIPAA (under a Google Cloud BAA, Pro scope) | No 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 |
| Founded | 2016 | 2020 |
| Headquarters | Mountain View, California, United States | Lewes, Delaware, United States, with the team based in Manizales, Caldas, Colombia |
| Ownership | Google (Alphabet Inc.) | Independent, angel and accelerator backed |
Strengths and limitations
Looker Studio
Strengths
- Free at a level that is not a trial or a teaser: unlimited reports, unlimited viewers, and every Google data source included.
- Native, first-party access to GA4, Google Ads, Search Console, and BigQuery with no connector fee and no data pipeline to maintain.
- The free-form canvas produces reports that look designed rather than generated, which matters when a dashboard is a client deliverable.
- Sharing, permissions, and embedding follow Google Drive conventions that clients and colleagues already understand.
Limitations
- No client concept. There is no multi-client workspace, no per-client account switching on a template, and no cross-client rollup, so agencies maintain one copied report per client by hand.
- Blending is capped at five tables and is computed at render time, so heavily blended pages routinely take ten to thirty seconds to load and can freeze during interaction.
- Source API quotas bite in practice: GA4's free tier concurrent request limits produce quota errors when several people open reports at once, and a reset can take anywhere from ten minutes to a day.
- Scheduled PDF export renders what is on screen, so a table showing ten rows exports ten rows; there is no pagination and no report-grade print layout.
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
Looker Studio
Two tiers. The core product is free with no user, report, or viewer limits. The paid tier (Data Studio Pro, previously Looker Studio Pro) is licensed per user per month and is attached to exactly one Google Cloud project, so an organization running several projects buys several subscriptions. Costs that are not part of either tier, and usually dominate the real bill, are third-party connectors for non-Google data and BigQuery storage and query charges.
- Data Studio (free)$0
- Data Studio ProAbout $9
- Looker (separate platform)Quote only
As a visualization layer, Looker Studio is close to unbeatable on price, because the price is zero and the product is genuinely capable. The honest way to evaluate it is to price the whole stack rather than the canvas. If your reporting is Google Ads, GA4, Search Console, and a Sheet, the true cost really is nothing and no paid tool can compete. Add three non-Google platforms across ten client accounts and the connector bill lands somewhere between $100 and $400 a month, at which point a purpose-built agency reporting tool with connectors included is frequently cheaper and always less work. Pro at $9 per user is fairly priced for what it fixes (ownership, governance, support) but fixes none of the things agencies actually complain about, and its one-project scoping works against the agency use case specifically.
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
Looker Studio
Looker Studio, now Data Studio again, is the most widely used reporting tool in small-business marketing for one very good reason: it is free, it reads every Google source natively, and the reports it produces look designed rather than generated. For anyone reporting mainly on Google Ads, GA4, Search Console, and a spreadsheet, no paid product offers better value, because the value is infinite. The case against it is entirely about what surrounds the canvas. Non-Google data always costs money through a connector or a pipeline, heavy blending makes pages slow, GA4 quota errors are a routine annoyance, PDFs export what is on screen rather than a proper document, there is no version history, and there is no client concept at all, so an agency past a dozen accounts is doing real manual labour that a paid tool would eliminate. Pro at about $9 per user fixes ownership, governance, and support, none of which are the things people complain about, and it binds to a single Google Cloud project in a way that fits agencies poorly. Use it as the default starting point, price the connectors honestly before calling it free, and move to a purpose-built agency reporting tool when template maintenance starts costing more than a subscription.
Read the full Looker Studio profilePorter 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 profileLooker Studio 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.