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  "documentTitle": "Leading Online Shoppers Finish Line",
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      "text": "A robust set of controls complements the model.",
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      "text": "Source: BCG analysis. Note: AOV = average order value.",
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      "text": "Payment method (binary payment method flag). Available features (binary flags for streamlined path to checkout, pay later, Captcha, accounts, etc.). Shop characteristics (maturity, unique visitors, revenue, social/paid sessions, country, industry, etc.). Cart characteristics (mobile/desktop used, distinct items, total number of items, time for checkout, session time, etc.). Website fluidity (median time to first byte). Apps (binary flags and counts for apps installed from the Shopify app store, with internal and custom category tags).",
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      "text": "Exploratory data analysis: We performed visualization of raw data as a further robustness check for the modeling. We sliced data across multiple angles (AOV, revenue, shop age, etc.). We then split the sliced data into groups (e.g., with/without a feature) and plotted metrics alongside the model results. Model: Multivariate ordinary least squares (final numbers). Fractional logit (robustness check). Leveraged noise reduction features: Comprehensive data resampling (bootstrap). Noise robust confidence interval. Data slicing across revenue, AOV, industry, region, etc.",
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      "text": "Appendix Exhibit 3 - We Leveraged Initial Exploratory Analysis to Develop a Model That Identifies Each Variable's Impact",
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