HACK GROWTH

Hack growth with causality, not chance. To drive growth at scale, we must identify its true drivers. This process requires rigorously testing
our assumptions of what works to ensure that our campaigns and programs replicate when we roll them out to the market.

Randomized controlled experiments (RCEs) are at the core of our approach to inferring causality for customer acquisition or product growth. We inject randomization, measurement against a benchmark, and statistical significance validation into “A/B testing” to infer causal effectiveness, not just effectiveness by chance.