Supermetrics is a data pipeline, not an analytics tool.
It pulls marketing data from Google Ads, Facebook, LinkedIn, and 100+ other platforms into Google Sheets, Looker Studio, or a data warehouse. And then... you need ANOTHER tool to actually analyze it. That's fine if your workflow is "pull data into a spreadsheet, manually slice and dice, copy-paste into a client deck." It's not fine when your team expects automated insights, alerts when campaigns go sideways, or dashboards that don't require a 45-minute refresh ritual every Monday morning.
I've talked to a lot of marketing teams who started with Supermetrics and eventually outgrew it — not because it broke, but because it only solves one piece of the puzzle. Here's what they switched to, and why.
What Supermetrics does well
Credit where it's due. Supermetrics is very good at what it was designed to do:
- 100+ marketing connectors. Google Ads, Meta Ads, LinkedIn, TikTok, HubSpot, Salesforce — if it has a marketing API, Supermetrics probably connects to it.
- Reliable scheduled pulls. Data shows up in your spreadsheet or warehouse on schedule. It just works.
- Cheap entry point. Plans start at $29/mo for Google Sheets destinations, which is genuinely affordable for freelancers and small agencies.
- Familiar destinations. It dumps data into tools you already know — Google Sheets, Excel, Looker Studio, BigQuery.
If all you need is "get data from platform A into spreadsheet B on a schedule," Supermetrics handles that elegantly. The problems start when you need to do something with that data beyond staring at rows.
Where teams outgrow Supermetrics
Here's the pattern I see over and over:
No dashboards. Supermetrics pulls data. It doesn't visualize it. You need Looker Studio, Tableau, or Power BI on top. That's another tool to maintain, another login to manage, another thing that breaks when the schema changes.
No alerts. If your CPA spikes 40% overnight, Supermetrics won't tell you. You'll find out when you open the spreadsheet on Monday — three days after the budget burned.
No AI analysis. You get raw numbers. Spotting trends, identifying anomalies, or generating insights still requires a human staring at pivot tables.
No client-facing output. If you're an agency, you still need to turn that spreadsheet into something presentable. That's either manual formatting or yet another tool (AgencyAnalytics, DashThis, etc.).
Schema changes break things silently. When a platform API changes field names, your scheduled pull might still "succeed" but return empty columns. You won't notice until someone asks why last week's report looks weird.
The net result: Supermetrics becomes one piece of a 3-4 tool stack, and you're the integration layer holding it all together.
6 alternatives that go further
Here's an honest breakdown of six tools that either replace Supermetrics entirely or cover the gaps it leaves. I'm including pricing as of mid-2026 — check their sites for current numbers.
1. AgencyAnalytics — best for client reporting
AgencyAnalytics was built specifically for marketing agencies that need to send reports to clients. It pulls data from 80+ marketing platforms AND creates white-labeled dashboards and automated reports in one tool.
Why teams switch from Supermetrics: You get the data pull AND the presentation layer in one place. No more "pull into Sheets, then connect Sheets to Looker Studio, then screenshot into a PDF."
Tradeoffs: Less flexible than Supermetrics for custom data transformations. If you need to run calculations that go beyond what their dashboard builder supports, you'll hit limits. Pricing scales per client, which gets expensive fast for large agencies.
Pricing: From $79/mo (5 client campaigns).
2. Funnel.io — best for enterprise data teams
Funnel.io is what Supermetrics wants to be when it grows up. It's an enterprise-grade marketing data hub that normalizes data across platforms, handles currency conversion, and pushes clean datasets to warehouses or BI tools.
Why teams switch from Supermetrics: Better data governance, automatic field mapping across platforms, and proper data transformation layers. If you're spending $50k+/mo on ads across 10+ platforms, the data quality improvements pay for themselves.
Tradeoffs: Expensive. The pricing is enterprise-level (think $1,000+/mo), and it's still "just" a pipeline — you still need a BI tool on top.
Pricing: Custom (typically $1,000-5,000/mo).
3. DashThis — best for simple dashboards
DashThis combines data pulling with pre-built marketing dashboard templates. You connect your platforms, pick a template, and get a shareable dashboard link in minutes.
Why teams switch from Supermetrics: Speed to dashboard. No intermediate spreadsheet step. Connect your accounts, pick metrics, share the link.
Tradeoffs: Very template-driven. If your reporting needs don't fit their templates, you'll struggle. Limited custom calculations compared to building in Sheets. No AI, no alerts beyond basic scheduled email sends.
Pricing: From $49/mo (3 dashboards).
4. Fastero — best for AI analysis + alerts
Fastero takes a different approach entirely. Instead of pulling data into spreadsheets, you connect your data sources and ask questions in natural language. The AI generates SQL queries, builds dashboards, and sets up alerts when metrics change unexpectedly.
Why teams switch from Supermetrics: You skip the entire "pull data, open spreadsheet, figure out what happened" loop. Ask "why did CPA increase last week?" and get an answer with charts. Set an alert for "notify me if any campaign's ROAS drops below 2x" and actually get warned before budgets burn.
Tradeoffs: Different mental model. If your team is deeply attached to spreadsheet workflows, there's a learning curve. Connector count is smaller than Supermetrics (though Postgres, BigQuery, and API connections cover most warehouse-first setups). Also see our detailed Supermetrics vs Fastero comparison.
Pricing: Free tier available, paid from $49/mo.
5. Databox — best for KPI tracking
Databox pulls from 100+ sources and displays everything as KPI scorecards — big numbers with trend arrows. It's designed for "glanceable" executive dashboards rather than deep analysis.
Why teams switch from Supermetrics: Instant visualization. No spreadsheet middleman. Good mobile app for checking KPIs on the go.
Tradeoffs: Limited depth. Great for "what's my MRR?" but not for "why did conversion rate drop for mobile users in Germany last Tuesday?" No SQL access, no custom transformations beyond basic calculated metrics.
Pricing: Free tier (3 data sources), paid from $72/mo.
6. Whatagraph — best for visual client reports
Whatagraph targets agencies that want visually polished, branded reports. It combines data connections with a drag-and-drop report builder that produces PDF-quality output.
Why teams switch from Supermetrics: The output looks professional without manual design work. Cross-channel reports that blend data from multiple platforms into a single narrative.
Tradeoffs: Expensive for what it does. Limited ad-hoc analysis — it's built for recurring reports, not exploration. Connector list is marketing-focused (no generic SQL or warehouse connections).
Pricing: From $199/mo.
The comparison table
| Tool | Connectors | Dashboards | Alerts | AI Analysis | Best for | Starting price |
|---|---|---|---|---|---|---|
| Supermetrics | 100+ | No (needs separate tool) | No | No | Pipeline to Sheets/warehouse | $29/mo |
| AgencyAnalytics | 80+ | Yes (white-labeled) | Basic | No | Agency client reporting | $79/mo |
| Funnel.io | 500+ | No (needs BI tool) | No | No | Enterprise data normalization | ~$1,000/mo |
| DashThis | 30+ | Yes (templated) | Email only | No | Quick marketing dashboards | $49/mo |
| Fastero | SQL + APIs | Yes (AI-generated) | Yes (smart) | Yes | AI analysis + alerts | Free / $49/mo |
| Databox | 100+ | Yes (KPI cards) | Yes | No | Executive KPI tracking | Free / $72/mo |
| Whatagraph | 40+ | Yes (visual reports) | Scheduled | No | Polished agency reports | $199/mo |
How to decide: pipeline-only vs pipeline+analysis vs all-in-one
Here's the framework I use when helping teams choose:
Stay with Supermetrics (or Funnel.io) if: Your data team already has a BI tool they love (Tableau, Looker, Power BI), and the only problem is getting marketing data into the warehouse. Pipeline-only tools are simpler and cheaper when you already have the analysis layer covered.
Switch to AgencyAnalytics, DashThis, or Whatagraph if: You're an agency that needs client-facing reports and your current workflow involves too many manual steps between data pull and deliverable. These tools collapse the pipeline + visualization into one step.
Switch to Fastero or Databox if: You need analysis, not just data movement. If the question is "what's happening and why?" rather than "move this CSV into that spreadsheet," you want a tool that actually answers questions — not one that just moves data closer to where you'll manually answer them.
The honest truth: most teams that outgrow Supermetrics don't need a better pipeline. They need fewer tools in the stack. The pipeline was never the hard part — the analysis was.
Related reading: