遇见数据集

Epsilon – Automotive

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Databricks2024-05-09 收录
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**Overview** Epsilon’s automotive data provides the most comprehensive and accurate view of a consumer to drive marketing decisions for the auto industry. Epsilon’s automotive data source consistently outperforms other auto data files in the industry in accuracy, counts and response rate. Gain access to over 147 million VINs, 136 million individuals with vehicles and 71 million households with a variety of different automotive propensity models. **Use cases** - Refine audiences using vehicle information: Make, model, year, market value, in market by vehicle category, fuel type, mileage, vehicle type, and more. - Drive more personalized offers using deep insights into customer preferences by pairing our propensity models with our vast array of automotive selects. - Combined with the other demographic information using our top ranked U.S database and select the households that best describe your customers. **Sample Segments** - In Market for a New Vehicle - Certified Pre-owned Vehicle Purchasers - Likely to Buy a Motorcycle - Vehicle Make > BMW - Vehicle Year > 2016 **Data sources:** -Non-modelled or inferred/ Non-DMV sources/ less restrictions: o Automobile warranty data sources/auto warranty notification o Sales and service data o Aftermarket repair and maintenance facilities o Scheduled maintenance records -Automotive propensity models leverage the industry’s best national consumer file combined with proprietary survey question responses to provide targeted propensity models for the automotive industry -Transactional data: The most transactional data for marketing purposes, exclusive to Epsilon with 46B transactions across 100M households - including auto parts, repair, dealer, and service providers. 2 years of category, merchant and spend activity from credit and debit cards, updated quarterly. Including auto parts, repair, dealer, and service merchants. **Committed to Privacy** Epsilon maintains a commitment to source our data with the highest ethical standards and lead the industry in adoption of consumer privacy best practices. https://legal.epsilon.com/global-privacy-policies/

**概览** Epsilon的汽车数据可为汽车行业的营销决策提供最全面、精准的消费者洞察视角。 Epsilon的汽车数据源在准确性、数据量级与响应率上始终优于行业内其他汽车数据文件。用户可获取超过1.47亿个车辆识别码(Vehicle Identification Number, VIN)、1.36亿位拥有车辆的消费者,以及7100万户家庭的多类汽车倾向模型。 **应用场景** - 基于车辆信息细化受众群体:可利用车辆品牌、型号、生产年份、市场价值、按车辆类别划分的在购意向、燃油类型、里程数、车辆类型等多维度数据。 - 将倾向模型与丰富的汽车选型数据相结合,通过深入挖掘消费者偏好,打造更具个性化的营销方案。 - 结合我们排名顶尖的美国数据库中的其他人口统计信息,筛选出最贴合目标客户画像的家庭用户。 **样本细分群体** - 新车在购受众 - 认证二手车购买者 - 潜在摩托车购买者 - 车辆品牌>宝马(BMW) - 车辆生产年份>2016年 **数据来源** - 非建模/推断类/非车管所(Department of Motor Vehicles, DMV)数据源(限制较少): o 汽车保修数据源/汽车保修通知数据 o 销售与服务数据 o 售后维修与养护机构数据 o 定期养护记录 - 汽车倾向模型:结合行业顶尖的全国消费者档案与专属调查问卷反馈,为汽车行业打造精准定向的倾向模型。 - 交易数据:专为营销场景打造的顶级交易数据,为Epsilon独家所有,覆盖1亿户家庭的460亿条交易记录,涵盖汽车配件、维修、经销商与服务提供商等领域。该数据包含来自信用卡与借记卡的2年分类、商户及消费行为数据,每季度更新一次,覆盖汽车配件、维修、经销商与服务类商户。 **隐私承诺** Epsilon始终恪守最高伦理标准获取数据,并在行业内率先践行消费者隐私最佳实践。 https://legal.epsilon.com/global-privacy-policies/

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