We raised $19.5M!
We're funded, and are ready to push the envelope in the experimentation industry
TL;DR: Companies like Netlify, Kumu, Cameo, Foxtrot, Goldbelly, and Contentful power their experimentation programs with Eppo. Eppo enables these teams to tie all product development to core business metrics, a connection that’s increasingly important in a changing market. We’re excited to push the gas pedal even further with more advanced statistical capabilities, more collaboration, and more impact.
We are announcing our $16M series A, which expands on our $3.5M seed round, to rapidly spread experimentation culture.
We started Eppo in response to a few truths:
The fastest growing companies of the past decade all invested heavily in pervasive, rigorous experimentation. Just talk to employees at Airbnb, Netflix, or Uber and you’ll realize that experimentation is the most impactful activity of their data teams.
The most common experimentation stack is still a completely in-house build. Commercial experimentation tools overly focused on marketing use cases. As a result, they all woefully lacking support for enterprise product experimentation.
These in-house experimentation frameworks necessitate committing dozens of senior developers, requiring business leaders to stomach wasting precious engineering resources on an internal tool that is the same everywhere.
On its face, an internal tool that is high leverage, requires significant resources, and is the same for every business should be an obvious buy vs build decision. At Eppo, we are making that decision much simpler by building experimentation tooling that has given every Airbnb, Netflix, and Uber alumnus a relieved sigh of familiarity. Finally, commercial product experimentation has arrived.
Recession-proofing your data team
When markets turn south, the name of the game is ROI. Speculative bets on net-new future product lines get put on hold as companies focus on core product and the bottom line. All technical tools - whether purchased or internally resourced - requires a clear answer for how dollars come out the other end.
We have already seen how these dynamics lead to an explosion of demand for experimentation:
For any B2C or PLG company, confidently separating product launches that improve core business metrics from product launches that do nothing for business metrics (or even hurt them) is an incredibly high ROI activity.
For a data team, the only way for charts, analysis, and dashboards to have ROI is to meaningfully change company decisions in a way that drives metrics. Experimentation is one of the few data team responsibilities that is intrinsically tied to decision making.
We’ve seen this play out in industry and among our customers. Some companies have had unfortunate layoffs, but across the board, the experimentation-centric teams we’ve served have been untouched by market belt-tightening.
Bringing statistical capabilities of FAANGs to the market
Companies like Airbnb and Netflix aren’t just running experiments, they’ve developed a toolkit and a culture that is hard to fathom unless you’ve worked there.
We were excited to announce one of these capabilities this year, CUPED experiment acceleration. This econometrics method is used across the board on experiments at Airbnb or Netflix. If you’ve ever run an experiment at Uber, Lyft, or Microsoft, you’ve invisibly benefited by your experiments taking up to half the time to complete. And reduced experiment runtime is a huge deal. It means more ideas tested, more learnings, and more impact.
The reception among our customers for CUPED has been amazing. In addition to the very tangible ROI from gaining all of this time back, CUPED is a great example of how Eppo is bridging the experimentation gap between sophisticated experimentation cultures like Airbnb and Booking and earlier teams who struggle to get even a handful of experiments completed.
Privacy oriented, data warehouse-native
Eppo is the first data warehouse-native experimentation tool. For people who live and breath the modern data stack subculture, this is a big deal. For everyone else, there are two important pieces to know:
For once, data teams don’t have to fight their analytics tool to get it to use good data. Eppo natively reads from the same data sources as your most trusted tools like Tableau and Looker, namely your data warehouse. Ask your data team how often they’ve been undermined by 3rd party analytics tools reporting bad data to know why a data warehouse-centric world is a great one.
Eppo puts privacy first. We don’t ask that you send terabytes of sensitive user data to us. We can provide world class experiment capabilities while computing within your own cloud. Even our in-app randomization SDK will use your existing eventing infrastructure so that you can have instrumentation without a betraying user trust.
We are fortunate to live in a world where tools like Snowflake mean you can have great 3rd party analytics tools, and still use trusted data in a privacy centered way. And Eppo is happy to join the crowd of Snowflake native apps as the first experimentation solution.
Eppo is backed by the world’s leading data + product leaders
Our series A was led by Naomi Ionita from Menlo VC. Between her lead investments in Endgame, Matik, and Teamflow, and her teaching at Reforge, Naomi knows the stressors and joys of product growth leaders like no other investor. Naomi joins the lead investor from our seed round Sarah Catanzaro, one of the leading voices in the modern data stack with lead investments in Hex, Datafold, and Meroxa.
Our funding rounds also include a who’s who of product leaders: Lenny Rachitsky, Shreyas Doshi, Crystal Widjaja, Adam Fishman, Melissa Tan, and Shaun Clowes. We’re also backed by tech luminaries like Bryant Chou, Erik Goldman, and the Tokyoblack team.
Run an experiment in Eppo!
We’d love to show you what we’ve built. Request access to Eppo and we’ll help you get a few experiments setup.
Join the team
Our team is made up of veteran product builders from Airbnb, Snowflake, Slack, Amazon, and Stitchfix. We’re on a mission to change corporate culture everywhere. Have a look at our open jobs. We’d love to meet you.
Congratulations and I hop more success for your company