insights Marketing Reporting Tools · Overview

Porter Metrics Review 2026: features, pricing & honest take

What Porter Metrics does, who it’s for, how much it costs, and where it falls short. Written by the founder.

Juan Bello, founder of Porter Metrics

Juan Bello

Founder, Porter Metrics · March 30, 2026

What is Porter Metrics

Porter Metrics is a no-code marketing reporting tool built exclusively for marketing teams. It connects and blends ad platforms, social media, analytics, CRMs, and e-commerce to destinations like Looker Studio, Google Sheets, Google BigQuery, and Power BI.

It focuses on two problems: consolidating ad spend with revenue data to measure real profit, and cross-channel attribution by matching UTM campaigns across all sources into a single view.

Who is it for

Marketing teams, agencies, and e-commerce brands that run paid media, social media, SEO, and CRM across multiple platforms and need cross-channel reports without SQL, without a data engineer, and without manual data work.

Key differentiators

  • Alerts and notifications. Native visual builder to send automated reports, alerts, and AI-generated summaries to Slack, Gmail, and Zapier. Users can set time-based notifications (daily, weekly) or behavior-based alerts (metric drops or spikes). The query, message, and analysis are fully customizable with natural language prompts. No competitor in this category (Supermetrics, Funnel, Windsor, Dataslayer) offers this.
  • Automatic data blending. Porter automatically combines and maps data from all connected platforms into a single marketing data model. Meta Ads campaign data is already cross-referenced with Google Ads and with UTM campaigns from GA4 — no manual joins, no table schemas, no SQL needed.
  • Built-in data warehousing. Automatic, invisible data warehousing powered by BigQuery. When a user connects sources with heavy API rate limits — HubSpot, Shopify, Active Campaign, Amazon, or large Google Business Profile accounts — Porter automatically stores and serves the data regardless of volume. Users never need to set up a data warehouse. This also enables cross-source blending that no other live connector product can do.
  • Custom fields with AI query builder. A natural language query builder to create custom metrics and dimensions. Users describe what they need (e.g., “cost per qualified lead excluding brand campaigns”) and Porter builds the formula. Custom dimensions can also parse campaign naming conventions into separate columns (Country, Platform, Funnel Stage, Creative Type).
  • Deeper connector quality. Fewer integrations (25 vs. 150+ on competitors), but every connector exposes all fields for all destinations with full breakdowns. Shopify breaks down by new customers, repeat customers, new sales, and repeat sales. HubSpot breaks down by deals, companies, and products at SQL, pipeline, and closed-revenue level.
  • Free Forever plan. The only tool in this category with a free plan: 3 accounts, data blending, all destinations included. The only limitation is a 30-day lookback window. Every user starts with a 14-day unlimited trial; after the trial, they are automatically downgraded to this Free Forever plan with no action needed.
  • Per-account pricing, all features included. Unlike competitors that charge per destination or per connector, Porter charges per data source account. All destinations, data blending, custom fields, alerts, and 60+ Looker Studio templates are included on every plan.
  • 60+ Looker Studio templates. The largest gallery of marketing report templates, including multi-source templates by use case (Paid Media, E-commerce, Social Media, CRM). Installable in one click via the Looker Studio API with data already loaded.

Company background

  • Founded: 2020
  • Headquarters: US-bound (originally Latin America)
  • Team: 10 people, primarily data engineers
  • Funding: $400K from angel investors and Techstars Boulder (2021 cohort)
  • Customers: 1,600+ active customers in 60+ countries
  • Notable clients: Havas, Dentsu, Understory, Visual Capitalist, Globant

Celerio

Porter recently launched Celerio, a vibe coding tool that lets marketing teams build internal marketing apps and run marketing from a chat. It connects the same integrations that Porter offers — not just for reporting, monitoring, and alerts, but to automate the actual tasks inside ad platforms, websites, SEO tools, email, and CRMs.

Teams can run their ads, manage their website, handle SEO, email, CRM, and build their own internal tooling from the same chat — without needing a developer. Porter handles the analysis; Celerio handles the execution.

The 25 integrations

Porter has 25 integrations focused exclusively on marketing:

Paid Media (8 connectors)

  • Meta Ads
  • Google Ads
  • LinkedIn Ads
  • Pinterest Ads
  • Microsoft Ads
  • TikTok Ads
  • X Ads (Twitter)
  • Display & Video 360 (DV360)

Analytics & SEO (3 connectors)

  • Google Analytics 4
  • Google Search Console
  • Google Business Profile

Social Media (6 connectors)

  • Facebook Pages
  • Instagram
  • LinkedIn Pages
  • TikTok
  • Instagram Public Data — monitor any public Instagram business account without needing access (competitor analysis)
  • Facebook Public Data — monitor any public Facebook business page without needing access (competitor analysis)

CRM & Email (4 connectors)

  • HubSpot
  • ActiveCampaign
  • Mailchimp
  • Klaviyo

E-commerce (2 connectors)

  • Shopify
  • Amazon

Other (1)

  • Google Sheets — as a data source, with a data mapping feature that lets you combine Sheet columns with native connector fields. If Porter doesn’t have a native connector, you can import data via a Sheet and blend it with your other sources.
Important: Porter has 25 integrations vs. 150+ on Supermetrics, 325+ on Windsor, and 590 on Funnel. If you need data from platforms Porter doesn’t cover (Salesforce, Go High Level, BigCommerce, Magento, Oracle), Porter is not the right tool.

Destinations

Porter includes all 6 destinations on every plan, including the free plan:

monitoring

Looker Studio

Native connector via the Looker Studio API. Porter automatically creates the report with data loaded — no manual connector setup. No competitor connects via the Looker Studio API for automatic report creation.

table_chart

Google Sheets

Direct export to Sheets for teams that build their own dashboards or need data in spreadsheet format.

database

Google BigQuery

Free tier: 30-day lookback, unlimited connections. Paid/Custom: unlimited date range. Clients own their data in their own GCP project.

bar_chart

Power BI

Native integration available on all plans.

chat

Slack

Native integration for alerts and notifications. Sends data summaries directly to Slack channels.

electric_bolt

Zapier

Connects alert and notification outputs to 5,000+ apps (Gmail, WhatsApp, etc.)

Core features

Automatic data blending

When you connect multiple sources, Porter automatically unifies them into a single marketing data model. Fields that get auto-combined:

  • Date fields: day, week, month, quarter, year — unified across all sources
  • Campaign identifiers: campaign name from ad platforms matched with UTM campaign from GA4
  • Ad structure: ad set, ad group, creative, ad name — mapped across platforms
  • Geographic: country, region — standardized
  • Performance metrics: spend, impressions, clicks, conversions, revenue — side by side from all sources
  • E-commerce: orders, revenue, products — from Shopify, cross-referenced with ad spend

A marketer can see total spend across Meta + Google + TikTok, broken down by campaign and country, with revenue from Shopify — in a single table without SQL or manual field mapping. With Supermetrics, Funnel, or Windsor, this requires creating table schemas, mapping fields, building joins, or writing SQL.

Note: Automatic data blending works within Porter’s 25 integrations. For sources Porter doesn’t cover, use the Google Sheets workaround or connect via BigQuery.

Alerts and notifications

Porter includes a visual, node-based alert builder where each step is configured in natural language:

  1. Trigger node — Set frequency: “every day at 8am”, “every Monday”, “every 10 minutes”.
  2. Query node — Select metrics, dimensions, filters, and date range using natural language. Porter automatically adds comparison vs. the previous period.
  3. Analysis node (optional) — Add a prompt like “summarize which campaigns are underperforming and why.”
  4. Destination node — Send to Slack (native) or via Zapier to Gmail, WhatsApp, or 5,000+ apps.
Example: “Every Monday at 8am, pull my GA4 traffic and key events for this month, compare with last month, and send a summary to #marketing on Slack.”

Custom fields with AI query builder

If you need a metric or dimension that doesn’t exist by default, you can create it with a natural language prompt:

  1. Write what you want: “Create a metric for cost per lead excluding campaigns that contain ‘brand’ in the name”
  2. Use @ to reference fields (e.g., @spend, @campaign_name, @conversions)
  3. Porter translates your prompt into the formula or regular expression
  4. Preview the calculated values, confirm, and the new column is written to your connection

Custom fields are fully editable — change the formula, rename the column, adjust the logic at any time. In tools like Windsor, once you create a table schema, you can’t modify it without creating a new table.

60+ Looker Studio templates

Multi-source templates by use case:

  • Paid Media: Meta Ads + Google Ads + Microsoft Ads + TikTok Ads + LinkedIn Ads combined
  • E-commerce: Shopify data + ad platform spend (ROAS, revenue per channel, product performance)
  • Social Media: Facebook + Instagram + LinkedIn + TikTok in a single report
  • GA4 + Ads: Analytics cross-referenced with ad spend and conversions
  • CRM: HubSpot or Klaviyo combined with marketing performance

All templates are installable in one click via the Looker Studio API with data already loaded, fully editable, and combinable.

Pricing

Pay per data source account. All features included on every plan. Price per account decreases as you add more.

Porter Metrics pricing

Free Forever
$0/mo
3 accounts, all features, 30-day lookback

1 Account
$15/mo
$12.50/mo billed annually

2 Accounts
$30/mo
All destinations included

3-5 Accounts
$40/mo
All features included

6-12 Accounts
$40+
$7 per additional account

13-20 Accounts
$100/mo
Price per account decreasing

20+ Accounts
Custom
As low as ~$1-2/account

BigQuery Custom
$1,000+/mo
Unlimited sources, custom integrations

Annual discount: Pay 10 months, get 2 months free (~16.6% savings).

Free BigQuery: Any user (including the free plan) can write data to their own BigQuery project with a 30-day window. Most competitors don’t offer BigQuery at all, or lock it behind enterprise plans.

Use cases

Profit measurement and revenue consolidation

  • Ad spend + CRM revenue (HubSpot): Cross ad spend with HubSpot deals, contacts, and pipeline data at the SQL, pipeline, closed-revenue, and acquisition source level — not just MQL. Calculate CPL, CPA, and ROAS at campaign and creative level.
  • Ad spend + e-commerce revenue (Shopify): Cross sales and customer data with total ad spend to calculate CAC, cost per repeat customer, ROAS, and MER. Shopify data breaks down by new vs. repeat customers and new vs. repeat sales.
  • Amazon + Shopify total sales: Combine sales data from both channels into a single view. Cross with total ad spend to measure real profit.
  • Google Sheets for external costs/revenue: Import real final costs or sales data not available in the CRM via Google Sheets and blend it with native connector data.

Cross-channel attribution and reporting

  • UTM attribution via GA4: Combine advertising data with GA4 via UTM parameters to measure conversions from a single source of truth — instead of each platform’s self-reported conversions. Match at campaign, creative, or any UTM level.
  • Cross-channel paid media: Combine impressions, clicks, and spend across all ad platforms in a single report with unified metrics.
  • Cross-channel social media: Combine followers, new followers, impressions, and engagements across all social platforms. Break down at creative and image level.

Analytics and monitoring

  • Creative analytics: View actual ad images and preview URLs to see live ads. See best-performing social media posts with their images for visual performance analysis.
  • Competitive monitoring: Instagram Public Data and Facebook Public Data let you monitor any public business account — compare against competitors, track other brands, or monitor multiple brand accounts without needing access.
  • Multi-location reporting (Google Business Profile): Connect and store data from multiple locations at scale. Built-in data warehousing handles the volume for franchises and multi-store businesses.
  • Multi-account, multi-brand reporting: Consolidate performance across multiple brands or ad accounts. Use custom dimensions to break down by brand, region, or campaign naming conventions.
  • Performance vs. goals: Import targets, OKRs, or KPIs via Google Sheets and combine with actual performance data.

Executive reporting and proactive alerts

  • Executive reports and client presentations: Templates and data blending serve both agencies for client presentations and in-house teams for leadership reports.
  • Proactive monitoring: Set up alerts that trigger on metric drops or spikes. Time-based notifications (daily/weekly summaries) or behavior-based alerts. AI summarizes what’s happening so teams react without manually checking dashboards.
  • Full-cycle automation with Celerio: Go beyond reporting — run ads, manage websites, SEO, email, CRM, and build internal marketing tools from a chat interface.

Who is Porter Metrics for

campaign

Marketing teams (in-house)

Teams running paid media, social media, SEO, and e-commerce across multiple channels that want cross-channel reports without SQL or manual data work.

groups

Marketing agencies

Agencies managing multiple clients. Each client’s accounts are separate connections. One-click templates make client onboarding fast. Used by agencies like Havas, Dentsu, and Globant.

shopping_cart

E-commerce teams (Shopify, Amazon)

Teams that need reliable e-commerce data blended with ad spend. Porter’s built-in data warehousing handles Shopify and Amazon API rate limits that break live connectors from competitors.

contact_mail

B2B marketing teams (HubSpot)

Teams that want to measure ad spend to pipeline and revenue. Porter handles HubSpot’s API rate limits with automatic backfill and goes down to SQL, pipeline, and closed-revenue level.

cloud

Teams that want BigQuery without a data engineer

Porter writes data to the client’s own BigQuery project — no SQL, no infrastructure management, no technical setup required.

Who is Porter Metrics NOT for

engineering

Data engineering teams

Porter is not a general-purpose ETL pipeline. It doesn’t cover databases, project management, finance, or non-marketing SaaS. For 100+ connectors across verticals, use Funnel, Windsor, or Hevo.

storage

Teams that need Tableau, Snowflake, Redshift, or Amazon S3

Porter’s destinations are Looker Studio, Google Sheets, Power BI, BigQuery, Slack, and Zapier. No Tableau, Snowflake, or Redshift.

verified_user

Enterprise teams requiring SOC2 Type 2

Not certified yet (expected 2026). NDAs and client-owned BigQuery available as alternatives. If SOC2 is a hard requirement, use Windsor (SOC2 + HIPAA) or Funnel (SOC2 + GDPR).

track_changes

Teams needing first-party tracking or multi-touch attribution

For server-side tracking scripts or multi-touch attribution modeling, use Triple Whale or Polar Analytics.

extension_off

Teams needing Salesforce, Go High Level, BigCommerce, or Magento

Not available today. Custom integrations are available for clients on the $1,000+/mo plan.

Honest limitations

Scope limitations

  1. 25 connectors vs. 150-590 on competitors. This is the #1 reason prospects who evaluate Porter decide not to buy.
  2. No Tableau, Snowflake, Redshift, Amazon S3, or FTP. Destinations are limited to Looker Studio, Google Sheets, Power BI, BigQuery, Slack, and Zapier.
  3. No Salesforce or Go High Level connector. Two of the most requested integrations. Both on the roadmap.

Compliance

  1. No SOC2 Type 2 certification yet. Expected 2026. NDAs and client-owned BigQuery available in the meantime.
  2. Not GDPR compliant. Relevant for European teams with strict data residency requirements.

Product

  1. No SQL editor. Everything is managed through natural language, visual interfaces, and AI. Data analysts who prefer SQL will find this limiting.
  2. Small team (10 people). Slower feature development than larger competitors, but direct access to founders and developers through Slack.

Support

  • Free onboarding call: Available for any user, no minimum plan required
  • Live chat & email: Available on all plans
  • Unlimited calls: No restrictions
  • Direct Slack channel: Access to developers and founders
  • Custom integrations: Available for clients on $1,000+/mo plans

Frequently asked questions

Porter includes all destinations in every plan; Supermetrics charges per destination. Porter has automatic data blending, built-in data warehousing, and alerts — Supermetrics offers none of these. Porter has fewer connectors (25 vs. 150+). Porter starts at $15/mo (or free); Supermetrics starts at $37/mo for Looker Studio only.

Yes. Free forever plan: 3 accounts, all destinations, all features, 30-day data lookback. Every user starts with a 14-day unlimited trial and is automatically downgraded to the free plan after. BigQuery is also free with a 30-day window.

Yes. Both connectors include automatic storage and backfill to handle API rate limits that break live connectors from competitors. Shopify breaks down by new/repeat customers and sales. HubSpot goes down to SQL, pipeline, and closed-revenue level by acquisition source. The same automatic backfill applies to ActiveCampaign and Google Business Profile.

Yes, through Google Sheets. Import data into a Sheet and connect it as a source in Porter. The data mapping feature lets you combine Sheet columns with native connector fields. This also works for importing real final costs or sales data.

Not yet. Expected in 2026. NDAs and client-owned BigQuery are available as alternatives. If SOC2 is a hard requirement, consider Windsor (SOC2 + HIPAA) or Funnel (SOC2 + GDPR).

Direct competitors: Supermetrics, Dataslayer, Windsor.ai, Power My Analytics (data connectors). Indirect competitors: Funnel.io, Improvado (ETL platforms). Reporting-tool competitors: AgencyAnalytics, Whatagraph, Databox (marketing reporting software with built-in connectors).

Porter Metrics is the only Looker Studio connector that includes automatic data blending, built-in data warehousing, custom fields with AI, alerts, and 60+ templates — all on every plan. It connects via the Looker Studio API to automatically create reports with data loaded. If your marketing stack fits within Porter’s 25 integrations, it offers the deepest Looker Studio experience available.

Yes. Porter consolidates ad spend from all platforms with revenue data from Shopify, Amazon, HubSpot, or Google Sheets to calculate real profit, true ROAS, CAC, MER, and cost per repeat customer. For HubSpot, it measures at the SQL, pipeline, and closed-revenue level by acquisition source and campaign.

Celerio is a vibe coding tool by Porter Metrics that lets marketing teams build internal marketing apps and run marketing from a chat. Teams can connect the same integrations Porter offers to automate ads, websites, SEO, email, and CRM tasks — extending Porter from analysis into execution.

The bottom line on Porter Metrics

Porter Metrics is built for marketing teams and agencies that need to measure real profit by consolidating ad spend with revenue data — without SQL, without a data engineer, and without paying per destination. It has 25 integrations (fewer than competitors), but each one with full field depth, automatic data blending, built-in data warehousing, custom fields with AI, and alerts and notifications that no competitor in this category offers. With Celerio, it extends into execution: teams can act on their data and automate marketing work from a chat.

Try Porter Metrics free →