How Supabase 10Xed with the help of PostHog
Jun 15, 2025
Contents
Postgres in the cloud
- Devtool
- Engineering
- Growth
- Marketing
When he joined Supabase’s marketing team, Aleksi Immonen says most of the data he needed was fragmented across a handful of different tools and point solutions. The team used Plausible to track website traffic, for example, and internal tools for some of the event tracking.
“The result was that it was quite challenging to do even basic attribution or usage-pattern analysis with the data,” says Aleksi. “We were self-hosting Plausible, and we had some data there, but it was quite limited, and the UI was just a little too slow for people to want to use it. So we did basically everything through BigQuery.”
“And our A/B testing process! It had a lot of friction. We had a velocity of 1–2 experiments per month because multiple people needed to be involved, and it was such a specialized task.”
Data wasn’t just fragmented — it was also incomplete due to the limitations of each individual platform and differences in their interoperability. Events tracked in internal tools, for example, didn’t always match 1:1 with data from Plausible, and no individual team had ownership of it all.
“None of us really had a full view of what event data we were tracking or the event definitions,” he explains. “But I’d used PostHog at my previous company at Twice Commerce, really liked it, and knew it could help us a lot with attribution, funnel analysis, and A/B testing. PostHog’s open-source nature was also a plus.”