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Instacart just ended randomized pricing experiments after backlash over differential pricing. This might sound like good news for consumers, but it creates a massive challenge for data scientists. Here’s why this matters: Without randomization at the user level, companies must shift to geo-based experiments with dramatically smaller sample sizes. Instead of millions of users, you’re now working with dozens or hundreds of stores. The problem compounds when you’re measuring high-variance metrics l
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Instacart just ended randomized pricing experiments after backlas…
2.2K views1 week ago
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