Supermetrics
👤 Mikael Thuneberg (A working web analyst who lived the reporting grind and the first to bridge Google's Analytics API into a spreadsheet.)🌐 site𝕏LinkedIn
A web analyst's script that pulled ad data into a spreadsheet became the No.1 add-on in Google's marketplace.
Will it work? · our read
Distribution won. He didn't out-build rivals; he shipped where marketers already worked and let Google's store do the selling. The risk is the same store's owner.
01How the money moves
Marketer installs the add-on from Google's marketplace
→
Add-on pipes ad-platform data into their sheet or report
→
They subscribe per data source and seat, monthly
02The numbers
$52M+
ARR 2022 (€50M+ stated)
company
500K+
users
company
770%
rev growth 17-19
Deloitte
Bootstrapped and profitable to €1M+ ARR before any funding. Deloitte Fast 50
Bootstrapped to €1M+ ARR with no sales team, then €50M+ by 2022.
03Weight class — CENTStap an axis
Control Mid
Rides Google's platform and its add-on store; Google sets the API rules and could ship native connectors.
04The key move
Ship as an add-on
Not a standalone app to market — Supermetrics lived inside Google Sheets and Data Studio and made the marketplace its main channel. It became the No.1 marketing add-on and hit $1M+ ARR with no sales team.
fact
The counter-intuitive move
Platform distribution cuts both ways: Looker Studio now ships native connectors, and Google can change add-on rules or take a cut anytime.
our read
05Where the moat is
The lock-in isn't the code; it's being the default inside tools marketers open daily.
No.1 add-on in Google Sheets + Looker Studio stores100+ connectors, years of edge-case fixesFeeds live dashboards teams run every dayBootstrapped, profitable, low Helsinki cost base
06How it diesmedium confidence
It dies if Google keeps building native connectors into Looker Studio and GA4, or tightens add-on rules — the marketplace that gave it free distribution can also cut it off. our read
Show evidence · counter
Evidence: Google's Looker Studio now ships native connectors for many sources Supermetrics once had largely to itself.
Counter: Supermetrics has diversified beyond Google — Excel, BigQuery, data warehouses, and a direct API — so no single platform's move is fatal.
07Against rivals
Supermetrics owns the self-serve, spreadsheet-first mid-market; Funnel and Fivetran fight for enterprise pipelines. our read
08Who uses it
Marketing agenciesIn-house growth teamsFreelance analystsEcommerce marketersSEO and PPC consultants
★Would it work for you?
Where do your users already work — and could you ship inside that tool instead of pulling them to a new one?
Marketplace distribution beat features here. We don't score you — you answer.
🚀Use it as a launchpada prompt for your own AI
Copy → paste into your AI → then develop it freely in the conversation.
You are a sharp, honest startup strategist. Use the proven case below as a launchpad for MY idea — help me find my own angle, not copy it.
<my_profile>
Domain I know: [your domain]
My unfair advantage (access/audience): [your edge]
Interests: [your interests]
Resources & goal: [your resources] · [your goal]
</my_profile>
<case name="Supermetrics" model="saas">
What it does: Supermetrics sells subscription connectors that pull marketing data from ad platforms into Google Sheets, Looker Studio, Excel, and data warehouses.
Why it won (moat): It is the No.1 marketing add-on in Google's marketplaces, with 100+ connectors and years of edge-case fixes competitors would have to re-earn.
Weakest axis (CENTS): Its distribution and much of its value depend on Google's platform, which can ship native connectors or change add-on rules.
How it could die: It fades if Google's native connectors and warehouse-native tools like Fivetran make a dedicated add-on unnecessary.
</case>
<task>
Be a skeptical operator, not a cheerleader. No generic startup platitudes. If my angle is weak, say so plainly.
First, a reality check: markets like this mostly fail. State the honest base rate (how crowded/hard is this?) and the ONE specific thing that would have to be true for ME to be the exception — grounded in my profile above.
Then a compact table:
- Fit — does this pattern suit my edge, or fight my gap?
- Angle — my sharpest differentiation vs Supermetrics (concrete, not "better UX")
- Distribution — exactly where my first 100 users come from (this is the hardest part — be specific, not "content marketing")
- Risk — its "how it dies" (above) in MY situation
Finish with one line: "The single thing to do next."
Use only the facts above; if data is thin, say so — never invent numbers.
Then stay with me and go deeper on whatever I ask — tech stack, rough cost & time, the smallest MVP to test, pricing, or timing.
</task>
✓ Copied — paste into your AI
👤Placeholders like [your domain] auto-fill from your profile — example values for now.Set up profile →
Sourcesupdated · daily
Growth Unhinged — bootstrapped to €1M+ ARR with no sales, €50M+ ARR by Sept 2022.OpenView — product-led growth via Google Sheets and Data Studio add-on stores.SaaSiest podcast — founder Mikael Thuneberg on bootstrapping to 36M EUR ARR.Wikipedia — 2016 rev €1.6M at 63% net margin; Deloitte Fast 50 Finland 2019.Supermetrics blog — first-party account of doubling €10M to €20M ARR.
EUR 50M+ ARR is company-stated (Sept 2022); 2016 EUR 1.6M / 63% margin and 770% 2017-19 growth come from press and Deloitte's Fast 50 Finland. Later third-party Latka figures ($73-89M) are estimates, not used as the headline. Supermetrics was bootstrapped and profitable through 2017, then raised about EUR 3.5M (2017) and roughly EUR 40M (2020) — so 'bootstrapped' describes its origin and profitable culture, not its whole history. The marketplace No.1 status is documented; the platform-dependency risk is our read, though Looker Studio's native connectors make it concrete. We never score you.