Causal inference is a statistical methodology used to determine the cause-and-effect relationships between variables, allowing businesses to make informed decisions based on data-driven insights. In the context of startup launches, causal inference is particularly relevant as it helps entrepreneurs and product managers understand the impact of their strategies and interventions, such as marketing campaigns or feature rollouts, on key outcomes like customer acquisition and revenue growth.
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