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Advanced A/B Testing

Advanced A/B Testing is taking data-driven decision-making to the next level. While traditional A/B testing might, for example, compare two website layouts to determine which one is more effective, Advanced A/B Testing goes one step further, offering a more comprehensive analysis of the effects of interventions. Using causal machine learning, it determines how different groups respond differently to interventions, whether they are website layouts, marketing messages, or pricing strategies. Advanced A/B Testing not only reveals the overall effect of an intervention but also shows its impact within specific groups, such as different types of consumers. This in-depth understanding is crucial in areas like targeted marketing and pricing, allowing strategies to be tailored for optimal results.

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Presentation about Causal Machine Learning, including use cases that leverage Double Machine Learning


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