Most companies will spend enormous resources bringing in the best and brightest talent, but end up isolating product decision making to a small group with seniority. Fortunately, the internet enables a new, customer centric mode of decision making, leading to quick product iterations, risk mitigation, and ultimately experiences that customers truly want. The solution is AB experiments.
As a company grows, entrepreneurial culture becomes inextricably linked to experimentation. With experimentation, people’s daily work becomes inexorably linked to metrics, tightly coupling product iterations and business ROI.
Today's commercial experimentation offerings are feature flagging tools masquerading as experiment platforms. This leads to unexpected agony for companies who pay hundreds of thousands of dollars for an 'experimentation platform,' only to discover that they additionally have to roll their own data infrastructure and hire legions of analysts to do all of the operational work.
With no viable commercial options, companies rebuild the same experimentation tooling over and over. Whether at a unicorn or a company of a few hundred people, organizations will staff an internal team to do piecemeal automations of their experimentation workflows. Inevitably, this in-house tool turns into a multi year engineering investment that still leaves everyone doing heavy manual operations work. Rather than invest even more resources to accomplish these steps effectively, organizations settle for broken workflows, painful analysis experiences, and experiment velocity at a snail's pace.
At Eppo, we are creating a next gen platform that fulfills the aspirations of experimentation tools teams, and brings those capabilities to companies of every stage and industry. Today, companies can't use any of the options on the market, and they can't run experiments until they devote multiple engineers and analysts to a function that is unrelated to their core product. We want to build a world where every team can have entrepreneurial, high experiment velocity culture.
Eppo was founded in 2021 with the idea that nothing in the commercial landscape provided the power of experimentation systems like Airbnb, which meant building the same system over and over. We built Eppo to leverage the modern data stack and the latest in causal inference literature, allowing companies to tie product team efforts to business metrics like revenue, with boosted statistical power. Of all products in the modern data stack, experimentation has one of the clearest relationships to revenue ROI because it injects C-suite-level metrics into every decision a product team makes.
Eppo powers fast, reliable, and informative experiments. The platform can be used on its own end-to-end, or paired with existing feature flagging tools such as Optimizely, LaunchDarkly, or in-house solutions. It integrates directly with data warehouses (Snowflake, Amazon Redshift) so that experiments use the same high quality data as BI tools like Tableau and Looker. Rather than measuring basic click-throughs, Eppo leverages core business metrics such as revenue, margin, and subscriptions, allowing companies to align product/growth teams with the same metrics that the C-suite cares about -- an even more urgent need in an economic downturn
For the past few years, companies have invested heavily in creating carefully collected, prepared, and documented datasets; however, they often lack strategies for tying this data to decision-making. In this context, Eppo not only helps companies make better product decisions using state-of-the-art statistical methods, they also help companies create more ROI from their data. Ultimately, Eppo is changing company culture and driving a shift towards more data-informed and entrepreneurial businesses. The Eppo team is uniquely suited to bring about this paradigm shift given their unprecedented technical abilities and experience driving organizational cultural change through tools.