If you're a business running low-powered experiments, you risk missing out on insights worth thousands of dollars
An experiment is the best way of understanding the causal impact of a decision on business metrics.
It is essential to meet your stakeholders where they’re at in their experimentation journey.
Machine learning models cannot be evaluated without AB experiments. The same is true for machine learning teams.
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Eppo announces our $19.5M Series A
Beneath every high impact data team is a culture of metrics and experimentation
Leaders should set the vision, not dictate roadmaps
A role for the statistician who builds things, or the builder who knows stats
It's really a question of infrastructure and hypothesis generation
Why experimentation culture requires design to thrive
The solution that improves everything
Learn how to create and implement a powerful experimentation framework to test new ideas, validate hypotheses, and achieve measurable results.
Learn how to harness the power of CRO and A/B testing to drive higher conversions, improve user experience, and achieve your marketing goals.