AutoIQ - Automotive data (US Only)

Automotive Attributes – Contains individual or household level data variables that provide and predict a variety of automotive preferences and behaviors ranging from the number of vehicles in their garage to those in market for specific auto makes and more.

---
## Use Cases
Automotive Attributes – Offline can be used for personalized and targeted marketing communications by allowing marketers to optimize messaging, creative, and offer based on specific consumer characteristics, behaviors, and preferences. This facilitates better customer retention, customer acquisition, cross-sell or up-sell, and engagement rates.

Automotive Attributes – Offline can be used to enrich CRM data by appending attributes to existing individuals in order to learn more about your customers.

Automotive Attributes – Offline can be used for your own modeling processes.

---

Geographic coverage | United States of America
Data Population Level | Individual or Household
Number of individuals/households covered | 257+ million individuals & 125+ million households
Raw or scraped data | Raw Data
Key Fields | Average Annual Mileage, Age of Auto, Maintenance Preferences, Auto Make Propensity, In Market for Auto, Make of Auto Owned

Data Source(s) - Our data is created in an offline process but leverages offline and online data and behaviors. The vast majority of our database is proprietary although a few publicly available data sources are leveraged in its development AnalyticsIQ sources data from over 100 sources. These are predominantly public sources including: *Core Demographic data from multiple sources; Census Block and Block Group level data; Econometric data from the US government; Summarized credit data from multiple credit bureaus; Property and mortgage information from county courthouses; Occupation information from state licensing boards; Past purchase behavior from catalogers and retailers that contribute their data at a category level.* AnalyticsIQ is not an original compiler as the data above is readily available for purchase out in the market. However, AnalyticsIQ uses superior analytics to make our data best-in-class. One tool that is completely unique to AnalyticsIQ’s product development process is our proprietary survey data. This is where our Cognitive Sciences Department carefully crafts questions that we serve to a panel of consumers. Survey responses are not directly published on our file, but rather the answers are then modeled across our entire consumer file to create truly unique data points not available anywhere.
Update Frequency | AnalyticsIQ data is updated on a quarterly basis
Key Words | Automotive, Autos, OEM, Cars, Vehicles, Drivers

Key data points include:

* Auto_Avg_Mileage: Average mileage put on car per year
* Number_of_Autos: Number of autos owned by the household
* AutoProp_Acura_MostLikely: Propensity to drive an Acura
* Auto_Family_Use: Likelihood of using vehicle for family use
* Auto_InMkt_v2: Likelihood of being in market for a vehicle
* Auto_Buyer_Methodical: Likelihood to use vehicle for family use
* Auto_Maint_Dealership: Likelihood of preferring dealership for vehicle maintenance

---
## Regulatory and Compliance Information
All AnalyticsIQ audiences are HIPAA compliant, and many audiences are Regulation B / FLA friendly or have alternative Regulation B / FLA friendly versions. To learn more about AnalyticsIQ’s Regulation B / FLA Friendly data.

For users who wish to avoid PII, all AnalyticsIQ data can be anonymized through tokenization thanks to our strong partnership with Datavant, a leading providers of data de-identification services.

搜集汇总

背景与挑战

背景概述

该数据集包含美国地区个体/家庭层级的汽车属性数据，涵盖2.57亿个体和1.25亿家庭，提供车辆保有量、品牌偏好、维护习惯等关键字段，适用于精准营销和客户分析。数据整合了100多个公开和专有来源，并通过专有调查模型增强独特性，每季度更新一次。