The Best Supermetrics Alternatives for Google Sheets
Supermetrics built a great tool, but as they pivoted to enterprise data warehouses, their pricing and performance left agencies behind. Here is how the current landscape of alternatives breaks down.
At a glance
| Metric Might | Supermetrics | |
|---|---|---|
| Query speed | Sub-3 seconds | Queue-based, often minutes |
| Pricing model | Flat fee | Scales with sources & accounts |
| Ad accounts | Unlimited (Agency plan) | Capped per tier |
| Team members | Unlimited (Agency plan) | Charged per seat |
| Primary output | Google Sheets | Sheets, warehouses, BI tools |
| Best for | Agencies & performance marketers | Enterprise data engineering |
1. Metric Might
Built specifically to fix the two biggest complaints about legacy connectors: slow query times and punishing per-account pricing. By executing queries directly on the front-end rather than through a shared server queue, Metric Might pulls data into Google Sheets in seconds — not minutes.
The Agency plan charges a single flat fee regardless of how many clients, ad accounts, or team members you add. For growing agencies, that means your reporting costs stay predictable even as your client list grows.
- ✓ Sub-3 second query execution — no timeout errors
- ✓ Unlimited ad accounts and team members on the Agency plan
- ✓ Flat $99/month — no per-account multipliers
- ✓ Built exclusively for Google Sheets workflows
2. Supermetrics
Still the dominant name in marketing data connectors. If your organisation has a data engineering team and needs to push data into BigQuery, Snowflake, Looker Studio, or Tableau, Supermetrics is the mature, well-documented choice.
The problem for agencies is that Supermetrics has increasingly optimised for enterprise buyers. Their pricing tiers charge separately for data sources, cap the number of ad accounts per source, and add per-seat fees for each team member. A mid-sized agency managing 20 client accounts across Google Ads, Meta, and LinkedIn can find themselves paying several hundred dollars a month.
Query execution is also queue-based — your request sits on their servers behind other users, which means slower refreshes and occasional timeout errors during busy reporting periods.
Read our full Supermetrics breakdown →How to choose
The right tool depends almost entirely on where your data needs to end up and how your pricing scales with your client base.
Is Google Sheets your final destination?
If your reports, dashboards, and client deliverables all live in Google Sheets, you do not need the warehouse integrations or BI connectors that make Supermetrics expensive. A Sheets-first tool will be faster, simpler, and significantly cheaper.
How many client ad accounts are you managing?
Tools that charge per-account will punish you as you grow. If you are managing more than 5 accounts per data source, flat-fee pricing becomes meaningfully cheaper — and the gap widens with every client you add.
How often do your query requirements change?
If you are constantly iterating on columns, filters, and date ranges — which is the reality for most agencies — slow execution compounds quickly. A tool that runs queries in seconds instead of minutes saves real time every single day.
Do you need a data warehouse or BI tool?
If your organisation runs Snowflake, BigQuery, Looker Studio, or Tableau as a core part of its data stack, Supermetrics is the better fit. Those integrations are genuinely valuable for engineering-led data teams, and no Sheets-first tool matches them on that front.
Built for agencies, priced fairly
Try Metric Might free for 14 days. No credit card required, no per-account fees, no surprises.
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