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Metric Might vs. Supermetrics: Why we built a faster alternative

Comparison · · 4 min read
Metric Might vs. Supermetrics: Why we built a faster alternative

We’re going to be upfront about something: this comparison is written by us, the people who built Metric Might. So take it with that in mind.

What we can offer is an honest account of why we built an alternative in the first place — because we were Supermetrics users, and we got tired of the same two problems. If those problems sound familiar to you, Metric Might might be worth a look. If they don’t, Supermetrics is probably fine.


What Supermetrics does well

It’s a mature, widely-used product with broad platform support and a large user base. If you’re in a large organisation where someone else manages the reporting infrastructure and cost isn’t a primary concern, it works. The data it returns is accurate. It connects to a lot of sources.

We’re not here to tell you it’s a scam. We’re here to explain why it stopped working well for us specifically — as a small agency managing multiple clients, where speed and cost both matter.


Problem one: the queue

When you run a query in Supermetrics, your request doesn’t go directly to the Google Ads or Meta API. It goes to Supermetrics’ servers first, where it joins a queue.

On a quiet afternoon, that queue is short. On Monday morning, when thousands of agencies are running their weekly reports before client calls, it backs up. You click run, you wait. Sometimes 30 seconds. Sometimes a minute and a half. Sometimes it just times out.

Here’s the thing: the data itself isn’t slow. Google’s API can return a clean campaign report in a few seconds. What’s slow is the middleman.

We found ourselves in a loop: change a filter, wait 90 seconds, look at the output, realise we needed a different dimension, change it, wait another 90 seconds. Building a report that should take 10 minutes was taking an hour.

How Metric Might handles it differently

Manual queries in Metric Might run directly from your browser’s front-end. When you click run, your browser talks to the ad platform’s API — not to our servers first. There’s no queue, because there’s no middleman for manual execution.

Most queries return in a few seconds. More importantly, you can iterate in real time: add a metric, see the result, adjust a filter, see the result. The feedback loop is tight enough that building a report actually feels like building a report rather than waiting for one.

Automated scheduled refreshes are a different story — those run on our AWS backend, which handles the timing and reliability. But for the query-building phase where you’re doing most of the thinking, we got the queue out of the way entirely.


Problem two: the pricing model

Supermetrics charges per data source, and within each source, often per connected account. As an agency that was growing — signing new clients, adding new platforms — we kept hitting pricing tiers that felt like penalties for doing well.

Sign a new client on Meta? That’s another ad account. Add TikTok to the mix? Another source to pay for. Bring in a second analyst to help with reporting? Another user seat.

The pricing model was designed around a different kind of user — someone who connects one or two sources for a single brand. For agencies managing ten clients across four platforms, it compounds fast and unpredictably.

How Metric Might handles it differently

We built one flat tier for agencies: unlimited accounts across all data sources, unlimited users, hourly scheduled refreshes, for $99/month billed annually.

That’s it. No per-account multipliers. No per-source charges. No conversations with a sales rep when you land a new client.

We also have a Solo plan ($29/month) for individuals or small teams who need up to five accounts per source and daily refreshes. And a free tier for anyone who wants to try it with a single account.

The philosophy was simple: we didn’t want to build a tool where your software bill grows every time your agency does.


What we haven’t solved (yet)

Honesty requires acknowledging the gaps.

Supermetrics supports more data sources than we do. If you need connections to platforms we don’t currently support — say, certain e-commerce or CRM sources — Supermetrics is probably still the better option right now.

Supermetrics also has a longer track record and a larger support organisation. We’re a small team, and while we think that keeps us fast and close to our users, it’s worth knowing what you’re signing up for.

We’re early-stage. We ship fast and we take feedback seriously, but we’re not the established player in the room. If organisational risk tolerance requires a vendor with a ten-year history and an enterprise support contract, that’s a legitimate reason to stay where you are.


Who we’re actually built for

If you run an agency managing multiple client ad accounts, spend real time in Google Sheets, and have felt the frustration of slow queries or a bill that grows every time you sign a new client — that’s exactly who we designed Metric Might for.

We built it because we needed it. The tool we wanted didn’t exist at a price that made sense for a team our size, so we spent our evenings and weekends building it. It’s been running in production long enough that we’re confident in its reliability, and the feedback from agencies who’ve switched has focused on the same two things: the speed, and the pricing.

If either of those resonates, the trial is 14 days and doesn’t require a credit card. You get the full Agency plan — unlimited accounts, hourly refreshes, everything — so you can test it properly against your actual workload.

And if you come from Supermetrics, we have a migration guide that maps your old workflow to how things work in Metric Might. Most people have their first report running within a few minutes.

Stop waiting for your data to load.

Metric Might runs directly in your browser. No server queues, no per-account pricing penalties. Just your marketing data in Google Sheets, instantly.