AI PoweredMulti Source Reporting

Supermetrics

Supermetrics is a data consolidation platform that pulls marketing metrics from 100+ sources (Facebook Ads, Google Analytics 4, LinkedIn Ads, Instagram Insights, etc.) and routes them to BI tools (Looker Studio, Power BI), data warehouses (BigQuery, Snowflake), or AI chat platforms (Claude, ChatGPT).

Supermetrics is a data consolidation platform, priced at $55/month on the Starter plan, integrating with Facebook Ads, Instagram Insights, LinkedIn Ads, and Google Ads. InnovaAI scores it 7.9/10 for agency resale.

Strong Buy7.9/10

Agency Audit

Supermetrics unifies data from 100+ marketing sources (Facebook Ads, Google Analytics 4, LinkedIn Ads, etc.) into BI tools, data warehouses, and AI platforms like Claude and ChatGPT, automating collection, cleaning, and live dashboard generation. Agencies can resell this as a data consolidation retainer for clients managing multiple ad platforms or ecommerce operations. The platform supports audience segmentation and data activation back to ad platforms, making it viable for performance-focused client verticals. Best fit: agencies serving ecommerce, DTC brands, or enterprise marketing teams that currently juggle disconnected reporting tools.

Strong BuyNo WLTiered
Fit

7.9/10

Typical Margin

51%

Time-to-Value

2d 1-2 days

Complexity
Moderate
Strong Buy
Fit79
Visit Supermetrics
Best For
  • Your clients run campaigns across 3+ ad platforms and currently export data manually to spreadsheets or maintain separate dashboards in Looker Studio and Power BI.
  • You want to offer unified client reporting without building custom ETL infrastructure; Supermetrics handles data cleaning and standardization across Facebook Ads, Google Ads, Instagram Insights, and LinkedIn Ads natively.
  • Your clients need audience segmentation and personalization workflows; Supermetrics supports unified customer profiles and audience activation back to ad platforms.
Not For
  • Your clients require HIPAA or strict data residency compliance; Supermetrics does not publish HIPAA certification or data localization guarantees in available documentation.
  • You need real-time data refresh (sub-hourly); Supermetrics caps refresh frequency at daily on Growth plan and weekly on Starter, with on-demand refresh only on Enterprise.
  • Your clients use niche marketing platforms (TikTok Ads, Snapchat, Pinterest Ads native connectors); Supermetrics supports 100+ sources but does not list every emerging platform.

Profit Path

Your Cost (USD)

$55/mo

Market Range

$499–$1.2K/mo

Revenue Model

Monthly Recurring

Planning benchmark at United States price levels. Not a measured market survey.

Platform Features

Core capabilities of Supermetrics

Multi-source data consolidation

Connects to 100+ marketing sources including Facebook Ads, Google Analytics 4, LinkedIn Ads, and Instagram Insights in a single workspace. Agencies eliminate the need to maintain separate logins and manual exports for each platform.

Automated data cleaning and standardization

Supermetrics standardizes data formats and naming conventions across disparate sources before delivery to BI tools or data warehouses. Reduces client friction from inconsistent metric definitions across platforms.

Live dashboard generation

Pushes unified marketing data to Looker Studio, Power BI, Google Sheets, or Microsoft Excel with daily (or weekly) refresh schedules. Clients see current performance without manual report compilation.

Data warehouse integration

Connects directly to BigQuery, Snowflake, Amazon Redshift, and Amazon S3, enabling agencies to build custom analytics layers or feed data into downstream ML models without intermediate tools.

AI-powered natural language queries

Includes monthly AI credits (4,000 on Starter, 12,000 on Growth) for querying marketing data via Claude or ChatGPT. Agencies can offer clients conversational insights without building custom dashboards.

Audience segmentation and activation

Supports unified customer profiles, audience segmentation, and data activation back to ad platforms. Agencies can help clients close the loop from insight to optimized ad spend without manual audience uploads.

What Makes Supermetrics Different

Unique advantages vs similar tools in this niche

Extensive connector library with 100+ marketing sources

vs Manual data collection or limited native integrations in other tools

Supermetrics connects to a wide range of platforms including Facebook, Google, LinkedIn, and more, all in one place.

Native AI integration with Claude and ChatGPT

vs Traditional BI tools that require manual query building

Users can ask natural language questions and get executive-ready insights directly in AI chat platforms.

Data activation capabilities

vs Static reporting tools that only visualize data

Supermetrics sends insights back to ad platforms to automate optimizations, closing the loop from insight to action.

Investment ROI Calculator

Value equation analysis for Supermetrics, based on the Hormozi framework

What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.

Value MultiplierExceptional

3.5× value multiple: invest $55/mo and agencies typically charge $499–$1.2K/mo for the work it powers.

Outcome56
÷
Friction16

Why This Succeeds

Higher is better

Implementation Challenges

Lower is better

Strong ROI. Supermetrics at $55/mo supports market rates of $499–$1.2K. Its 3.5× value-equation score weighs client outcome and likelihood against the time and effort to deliver, not cost.

Best if:Your clients run campaigns across 3+ ad platforms and currently export data manually to spreadsheets or maintain separate dashboards in Looker Studio and Power BI.You want to offer unified client reporting without building custom ETL infrastructure; Supermetrics handles data cleaning and standardization across Facebook Ads, Google Ads, Instagram Insights, and LinkedIn Ads natively.Your clients need audience segmentation and personalization workflows; Supermetrics supports unified customer profiles and audience activation back to ad platforms.You serve ecommerce or DTC brands that need live dashboards connected to BigQuery or Snowflake for downstream analytics or BI tool integration.You want to embed AI-powered insights into client reports; Supermetrics includes monthly AI credits (4,000 on Starter, 12,000 on Growth) for natural language queries via Claude or ChatGPT.

Pricing

Supermetrics platform cost to your agency

~51% margin

Starts at $55/mo (Starter), scales to $222/mo (Growth)

Starter

$55/mo
$44/mo annually
  • 1 core destination
  • 3 data sources of your choice
  • 3 accounts per data source
  • Weekly data refreshes (Google Sheets only)

Growth

$222/mo
$177/mo annually
  • 1 core destination
  • 6 data sources of your choice
  • 2 users
  • 7 accounts per data source
Enterprise

Enterprise

Custom
  • Choose from core and DWH destinations
  • Custom user and account limits
  • On-demand data refreshes
  • Data Transformations and Data Warehousing

No verified white-label program for Supermetrics: client-facing delivery runs under the platform's native branding.

Market Intelligence

How agencies monetize Supermetrics: real offer economics and market positioning

Service Applications
Reporting & AnalyticsAutomation & IntegrationsLead GenerationAds & PerformanceClient Communications
Best For
  • Marketing agencies
  • Enterprise marketing teams
  • Data teams
Not Ideal For
  • Agencies without technical staff
  • Organizations needing on-premise data storage

Hybrid (Project + Retainer)

ai-poweredmixed offers

Agency mixes project fees for setup/implementation with ongoing retainers for optimization.

Offer Economics: What You Charge vs. What It Costs

Margin includes platform cost + agency labor at $75/hr.

Supermetrics Starter Reporting Setupgrowth smb

Funded startups and regional brands needing automated marketing dashboards without a data team

$870/mo
Tool: $55/moLabor: 4h/mo × $75 = $300Margin: 59%Benchmark: $499–$1.2K/mo
Configure Supermetrics with up to 3 marketing data sources and connect to client Google Sheets dashboardBuild branded executive reporting template with automated weekly data refreshesSet up AI-generated monthly performance summary using Supermetrics AI creditsTrain client team on reading and sharing live dashboard outputs
Supermetrics Growth Intelligence Retainermid market

Mid-size companies with 50-500 employees running multi-channel paid and organic campaigns needing daily live reporting

$1.5K/mo
Tool: $55/moLabor: 8h/mo × $75 = $600Margin: 56%Benchmark: $1.2K–$3K/mo
Integrate up to 6 marketing data sources into a unified Supermetrics pipeline with daily refresh cadenceBuild multi-channel performance dashboard in Looker Studio or Google Sheets for stakeholder reportingConfigure AI-assisted anomaly alerts and monthly insight summaries via Supermetrics AI creditsOptimize data source mappings and audit pipeline health monthly to ensure reporting accuracy
Supermetrics Data Warehouse AcceleratorenterpriseHIGH MARGIN

Enterprise marketing teams with $100M+ revenue requiring centralized data warehousing, on-demand refreshes, and AI-ready data pipelines

$4.5K/mo
Tool: $55/moLabor: 12h/mo × $75 = $900Margin: 79%Benchmark: $3K–$10K/mo
Deploy Supermetrics Enterprise pipeline connecting 10+ marketing sources to client data warehouse (BigQuery or Snowflake)Build executive BI dashboards with on-demand refresh schedules and role-based access controlsIntegrate Supermetrics AI output layer with client's ChatGPT or Claude environment for automated insight generationMonitor pipeline reliability, document data transformation logic, and deliver monthly performance governance report
Supermetrics Audit & Migration Projectmid market

Mid-market brands migrating from manual spreadsheet reporting or legacy BI tools to a Supermetrics-powered automated data stack

$7.2K
Tool: $55/mo (2 mo = $110)Labor: 64h setup × $75 = $4.8KMargin: 32%Benchmark: $8K–$20K/project
Audit existing marketing data sources, reporting workflows, and tool integrations for migration readinessMigrate up to 6 data source connections into Supermetrics and validate data accuracy against legacy outputsBuild replacement dashboard in client's preferred destination (Google Sheets, Looker Studio, or Power BI)Document final data architecture and deliver handoff training session for internal marketing team

Scale Economics: Based on Starter Offer

Using Supermetrics Starter Reporting Setup at $870/client. Platform: $55/mo. Labor: 4h/client × $75/hr.

5 clients
$4.3K
MRR
$2.8K net (64%)
10 clients
$8.7K
MRR
$5.6K net (65%)
20 clients
$17.4K
MRR
$11.3K net (65%)

Net = MRR - platform cost - labor (4h/client × $75/hr).

Weighted Avg Margin
51%
Across all offer tiers, incl. labor at $75/hr
Run your agency audit

Investment Decision Framework

Strategic vetting analysis for Supermetrics

Vetting Verdict

Strong Buy

Strong agency fit, low resell friction

Agency Fit(white-label + resell pathway)
79/100
0255075100
Resell Friction(WL + mode + complexity)
60/100
0255075100

Buy If

5
OPERATIONAL FIT

Your clients run campaigns across 3+ ad platforms and currently export data manually to spreadsheets or maintain separate dashboards in Looker Studio and Power BI.

OPERATIONAL FIT

You want to offer unified client reporting without building custom ETL infrastructure; Supermetrics handles data cleaning and standardization across Facebook Ads, Google Ads, Instagram Insights, and LinkedIn Ads natively.

OPERATIONAL FIT

Your clients need audience segmentation and personalization workflows; Supermetrics supports unified customer profiles and audience activation back to ad platforms.

OPERATIONAL FIT

You serve ecommerce or DTC brands that need live dashboards connected to BigQuery or Snowflake for downstream analytics or BI tool integration.

OPERATIONAL FIT

You want to embed AI-powered insights into client reports; Supermetrics includes monthly AI credits (4,000 on Starter, 12,000 on Growth) for natural language queries via Claude or ChatGPT.

Skip If

5
CAUTION

Your clients require HIPAA or strict data residency compliance; Supermetrics does not publish HIPAA certification or data localization guarantees in available documentation.

CAUTION

You need real-time data refresh (sub-hourly); Supermetrics caps refresh frequency at daily on Growth plan and weekly on Starter, with on-demand refresh only on Enterprise.

CAUTION

Your clients use niche marketing platforms (TikTok Ads, Snapchat, Pinterest Ads native connectors); Supermetrics supports 100+ sources but does not list every emerging platform.

CAUTION

You want to white-label the entire platform with your agency branding; no verified white-label program exists in the content, meaning client-facing surfaces display the Supermetrics brand.

CAUTION

You operate on a tight margin and cannot absorb per-client subscription costs; Supermetrics charges per destination and data source, so a multi-client agency will accumulate costs quickly (Growth plan at $177/year per client adds up).

Bottom Line

Supermetrics unifies data from 100+ marketing sources (Facebook Ads, Google Analytics 4, LinkedIn Ads, etc.) into BI tools, data warehouses, and AI platforms like Claude and ChatGPT, automating collection, cleaning, and live dashboard generation. Agencies can resell this as a data consolidation retainer for clients managing multiple ad platforms or ecommerce operations. The platform supports audience segmentation and data activation back to ad platforms, making it viable for performance-focused client verticals. Best fit: agencies serving ecommerce, DTC brands, or enterprise marketing teams that currently juggle disconnected reporting tools.

Reality Check

Trade-offs & Gotchas

Supermetrics requires clients to grant API access to their marketing accounts (Facebook, Google, LinkedIn, etc.), creating a dependency on the agency to manage credentials and refresh schedules. If a client revokes access or switches agencies, data pipelines break immediately. Data refresh frequency is limited to daily on lower-tier plans (weekly on Starter), which may not suit real-time optimization workflows.

Implementation Reality

Moderate effort: standard configuration with some customization needed

Effort: 4/10Time: 4/10

Academy for Supermetrics

Work through it in order: the course for this service first, then the modules behind it.

Course for this service

Supermetrics Agency Implementation, Building Unified Reporting Systems

Learn how to consolidate client marketing data from 100+ sources into live dashboards and activate unified audience segments across ad platforms. This course teaches agencies how to build retainer-based reporting workflows, automate data collection and cleaning, and deliver AI-assisted insights without manual reconciliation work.

Open the course

Core concepts

The mental model you need to price and scope the work.

  1. Connector Standardization PremiumConcept

    The Connector Standardization Premium framework argues that agencies that standardize on a single multi-source reporting platform can transform reporting from a cost center into a margin driver. By consolidating data from dozens of sources into one governed pipeline, agencies build reusable templates and automated delivery workflows that reduce manual effort and ensure consistent, branded client views. This standardization enables premium retainers because clients pay for speed, accuracy, and insight, not spreadsheet labor. However, the framework warns of vendor lock-in: if the chosen platform shifts pricing or source coverage, the agency's entire reporting stack is at risk. For example, an agency using Funnel's 600+ source hub can white-label reports for each client, but must monitor platform changes. Recent Forrester research highlights that 88% of B2B marketers face foundational gaps, underscoring the need for solid data infrastructure before AI-driven insights can deliver ROI.

  2. Source Coverage Risk CurveConcept

    The Source Coverage Risk Curve maps the trade-off between a reporting connector's breadth of integrations and the agency's exposure to vendor lock-in. Agencies that standardize on a single connector with deep coverage, such as Funnel's 600+ sources, can build proprietary templates and charge premium retainers, but they become vulnerable if the vendor changes pricing, deprioritizes a channel, or discontinues an integration. Lighter tools like Porter Metrics serve SMBs with fewer sources but lower switching costs. The framework urges agencies to plot their own position: the more sources a connector aggregates, the more critical it becomes to negotiate contract terms, maintain raw data exports, and periodically re-evaluate alternatives. As AI agents reshape buyer discovery, Forrester notes that 88% of B2B marketers face foundational gaps, making data portability a strategic hedge. Agencies should treat source coverage as a risk curve, not a simple feature checklist.

  3. Reporting Stack GravityConcept

    Reporting Stack Gravity describes how agencies that standardize on a single multi-source reporting connector create a gravitational pull that locks in clients and justifies premium retainers. By building proprietary templates, automated delivery, and AI-ready data pipelines on one platform, agencies reduce per-client delivery costs while increasing switching costs for clients. The framework warns that this gravity can become a trap if the chosen connector's source coverage or pricing shifts, forcing an expensive migration. For example, an agency using Funnel's 600+ source coverage can offer a client a unified dashboard that replaces five separate tools, making the retainer feel indispensable. However, if Funnel raises prices or drops a critical source, the agency faces a painful re-platforming. The strategic move is to standardize but maintain exportable data schemas and periodically audit alternative connectors like Supermetrics or Whatagraph to keep options open.

Decision and risk

How to judge the fit, and the ways it goes wrong.

  1. Multi-Source Reporting Rule: Standardize on One Connector Before Scaling Client DashboardsEvaluation Rule

    Standardize on one multi-source reporting connector before scaling client dashboards, but re-evaluate annually to avoid vendor lock-in.

  2. Multi-Source Reporting Rule: Audit Source Coverage Before You CommitEvaluation Rule

    Audit the connector's source coverage against your actual client platform mix before standardizing, and re-audit quarterly to catch coverage shifts.

  3. Standardize on One Connector vs Diversify Across MultipleDecision Framework

    IF your agency serves 10+ clients with recurring reporting needs and can invest in building proprietary templates, THEN standardizing on a single connector like Supermetrics or Funnel.io enables premium retainers and faster delivery. IF your client mix is heterogeneous or you fear vendor lock-in, THEN diversify across connectors like Whatagraph to hedge against pricing or coverage shifts.

  4. The Connector-Lock Trap: Why Multi-Source Reporting Stalls When Your Single Vendor ShiftsFailure Pattern
  5. The Template-Only Trap: Why Multi-Source Reporting Fails to Prove Client ROIFailure Pattern
  6. Supermetrics vs Funnel vs Whatagraph (Agency Delivery Reality)Tool Comparison

    The right connector depends on whether your agency sells the report or the analysis behind it. Whatagraph's white-label reports make it a fit for agencies that want to own the client presentation layer, while Supermetrics and Funnel serve agencies that need raw data flowing into their own BI stack. Standardizing on one connector lets you build proprietary templates and charge premium retainers, but keep an eye on source coverage and pricing shifts to avoid lock-in.

14 modules selected for Supermetrics

Real User Results

What agencies say about Supermetrics

1.2/5
(10 reviews)
Trustpilot
1/5
2026-07-28T12:48:21.000Z
Otherway Performance

Price rises, product declines

Price continues to increases but the speed, accuracy and support of the service are all in decline. Will be looking for an alternative.

Read on Trustpilot
Trustpilot
1/5
2026-06-10T15:39:55.000Z
Matthäus Sauer

stay away from that product

stay away from that product. Totally errors all the time and high pricing... its frustrating to talk with them and also the website sometimes randomly shutdown... highly NOT recommended!!!

Read on Trustpilot
Trustpilot
1/5
2026-04-06T10:03:03.000Z
Maximilian Mende

Customer since 2019, license shut off after refusing a 3x price hike

We had been a loyal Supermetrics customer since 2019. The tools worked well, support was responsive – no complaints for years. Then they rolled out new pricing packages. For us, that meant 3x the cost for essentially the same usage. We declined the upgrade and wanted to stay on our existing plan.

Read on Trustpilot

Frequently Asked Questions

Answers about pricing, setup, implementation, and more

Supermetrics consolidates marketing data from 100+ sources (Facebook Ads, Google Analytics 4, LinkedIn Ads, Instagram Insights, etc.) into a single workspace, then automates delivery to BI tools (Looker Studio, Power BI), data warehouses (BigQuery, Snowflake), or AI platforms (Claude, ChatGPT). It handles data cleaning, standardization, and live dashboard generation, eliminating manual exports and disconnected reporting. Agencies can also activate insights back to ad platforms for audience segmentation and campaign optimization.

Supermetrics offers 3 pricing tiers, starting at $55/mo (Starter) up to $222/mo (Growth). Agencies typically achieve 51% profit margins when reselling to clients.

No verified white-label program exists. Client-facing surfaces display the Supermetrics brand, so you cannot present a fully branded portal or dashboard to end clients. This limits positioning as a proprietary agency tool.

Yes. Supermetrics natively supports both Facebook Ads and Instagram Insights as data sources. Both are listed among the 100+ connectors and can be configured in the Connect module without requiring Zapier or API-only workarounds.

Setup time depends on the number of data sources and destinations. Connecting a single ad platform (e.g., Facebook Ads) to a single BI tool (e.g., Looker Studio) typically takes 10-20 minutes once API credentials are authorized. Multi-source setups with data warehouse destinations may require 30-60 minutes for initial configuration and testing.

Supermetrics is best suited for ecommerce and DTC brands managing multiple ad platforms, enterprise marketing teams with complex attribution workflows, and data-driven SMBs that need unified reporting. It also serves travel and hospitality operators and retail/FMCG brands running cross-channel campaigns.

Supermetrics does not publish explicit data retention or export policies in available documentation. Upon cancellation, you should assume data pipelines to BI tools and data warehouses will stop refreshing. Contact Supermetrics support to confirm whether historical data can be exported or if it is retained for a grace period.

Supermetrics allows multiple users per account (Growth plan and above), but it does not explicitly support multi-tenant sub-account hierarchies or white-labeled client portals. Each client typically requires a separate Supermetrics account, which increases per-client costs and administrative overhead for agencies managing 10+ clients.