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SocialSift: Walmart USA Driving Distance based on Mobile Location | CSV File + Insights Report | Store ID + Lat/Long | Walmart Data Enrichment

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Datarade2024-04-19 收录
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https://datarade.ai/data-products/socialsift-walmart-usa-driving-distance-based-on-mobile-loc-socialsift
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资源简介:
SocialSift proudly presents Walmart DriveInsights, a revolutionary data product engineered to provide businesses with essential insights into consumer behavior and store performance. Our dataset includes the median driving distances to 4,609 Walmart store locations across the United States, diligently gathered from over 117 million mobile devices and validated through a stringent process to ensure utmost accuracy. We take the data a step further by enhancing it with additional attributes such as urbanicity, metro area, and store size, creating a holistic and insightful view of Walmart stores. Armed with this data, you will be able to answer key questions like: Which types of stores do shoppers travel the furthest distance to? How does driving distance relate to overall store performance? How should driving distance influence my assortment strategy? Our offering extends beyond just raw data. Along with a .csv file containing data for all 4,609 store locations, we provide a thorough, insights-driven analysis delivered in a .pdf file. This analysis will guide you through the data, helping you uncover patterns, trends, and actionable insights that can shape your business strategies. Key Features: Comprehensive Data: Median driving distances to 4,609 Walmart store locations across the U.S., gathered from over 117 million mobile devices. Enhanced Attributes: Data enriched with additional attributes such as urbanicity, metro area, and store size. Rigorous Validation: Data undergoes a stringent validation process to ensure accuracy and reliability. In-depth Analysis: Insights-driven analysis delivered in a .pdf file to help you uncover patterns, trends, and actionable insights. Essential for CPG, FMCG, and Retail Data enthusiasts. Applications: Retail Analysis: Understand the relationship between driving distance and store performance to optimize store locations and marketing strategies. Assortment Strategy: Analyze the driving distances to inform and refine your assortment strategy for different store locations. Urbanicity Insights: Explore how urbanicity impacts driving distances and, consequently, store performance. Competitor Analysis: Compare driving distances to Walmart stores with other retail locations to identify competitive advantages or areas for improvement. Use Cases: - Customer Behavior - Customer Insights - Location Analysis - Retail Insights - Location Attribution File Format: The data will be delivered in a .csv file, while the in-depth analysis will be provided in a .pdf file. Unlock a world of insights with SocialSift Walmart DriveInsights. This product is essential for businesses in the Consumer Packaged Goods (CPG), Fast-Moving Consumer Goods (FMCG), and Retail Data sectors. Seize this opportunity to leverage the power of mobile location data and driving distance to optimize your business strategies and outperform your competitors.
提供机构:
SocialSift
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集基于超过1.17亿台移动设备数据,提供了美国4,609家沃尔玛门店的中位驾驶距离,并增强了城市度等属性以支持深入分析。它包含CSV格式的原始数据和PDF洞察报告,适用于零售、CPG等行业优化业务策略。
以上内容由遇见数据集搜集并总结生成
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