Supermetrics is a data pipeline — it pulls marketing data from a huge list of sources and pushes it into Google Sheets, Excel, Looker Studio, or a warehouse. You still need another tool to build the dashboards and another still to get insights. Meaning is the AI analyst that does all three in one conversation.
How Meaning and Supermetrics compare in one screen.
A marketing data ETL tool. Great for agencies and teams who want to centralise 100+ platforms into spreadsheets, Looker Studio, or a data warehouse — and are comfortable building everything downstream themselves.
An AI analyst with the pipeline, the dashboards, and the insights in one product. Connect your sources, ask questions in plain English, and get charts, dashboards, and alerts without opening a spreadsheet.
Everything that matters for marketing analytics teams, side by side.
What you get in the box
Analytics UI
Supermetrics requires a downstream tool — Sheets, Looker Studio, or a BI platform.
Ask questions in plain English
AI-generated dashboards
Scheduled email alerts with AI summaries
AI insights and recommendations
Connectors & data
Marketing platform breadth
Supermetrics has far more connectors; Meaning covers the platforms most marketing teams actually use day-to-day.
Google Analytics 4 via BigQuery export
Google Ads
Microsoft Ads
LinkedIn (organic + ads)
Mailchimp
Google Search Console
Unified BigQuery data layer
Workflow
Zero-config onboarding
Cross-platform queries in one request
Currency conversion at query time
No downstream tool required
Pricing shape
Flat per-seat price
Extra fees for destinations
Extra fees for data sources
Extra fees for users
Reliability
Single tool to maintain
Supermetrics + BI + reporting tool = more surface area to break.
Failure surfacing in-app
Manual resync on demand
What you actually pay, and what you get for it.
Supermetrics
From ~$37 / mo, usage-based
Meaning
$9.99 / seat / mo
The honest recommendation — because not every team should pick Meaning.
Real jobs teams hire Meaning for that Supermetrics isn't built to handle.
Replace the Supermetrics → Sheets → pivot table → screenshot workflow with a single chat question that returns an answer and a chart.
Ask for blended ROAS across Google Ads, Microsoft Ads, and LinkedIn in one query — no SQL or spreadsheet formula stitching.
Send an AI-written Monday morning recap to stakeholders without building an email template or wiring up another tool.
Answer 'why did LinkedIn engagement drop last week?' in 10 seconds — Supermetrics would require you to pull the data and analyse it yourself.
Lean marketing teams get a full analyst stack without needing a BI engineer to keep it running.
Flat seat-based billing means you can add a connector or a client without re-pricing your whole contract.
For most marketing teams, yes — if your sources are among the ones Meaning supports (GA4, Google Ads, Microsoft Ads, LinkedIn, Mailchimp, Search Console). For agencies needing 100+ niche connectors into a custom warehouse, Supermetrics may still be a better fit.
Yes — that's the point. Meaning includes chat, dashboards, alerts, and insights in one product. Supermetrics is ETL only and requires you to bring a BI or reporting tool on top.
Supermetrics has significantly more connectors overall. Tell us what's missing — we add new connectors based on customer demand, and Meta Ads is next on the roadmap.
Meaning's pricing is flat at $9.99 per seat. Supermetrics scales with the number of destinations, data sources, users, and connected accounts — which can make budgeting harder as your setup grows.
Meaning maintains its own unified BigQuery data layer that you query through the app. If your use case is piping data into a custom warehouse for downstream modelling, Supermetrics is built for that.
Yes. Some teams use Supermetrics to pipe niche sources into a warehouse and use Meaning for everyday chat, dashboards, and alerts on their core sources.
Start your 14-day free trial. Connect your first data source in under a minute.