Predictive & Proprietary GeoType Audiences

In order to reach new customers, you need to identify the key characteristics of your best customers. InMarket’s Predictive and Proprietary GeoType Audiences target your ideal customers based on what they plan to do in the near future! **Why InMarket Audiences?** Access 1,000+ turnkey, multidimensional audience segments applicable for any campaign strategy. The InMarket data universe is composed of nearly 200M, SDK-based monthly active users – or 77% of the adult US population. – Unrivaled performance–up to 3.7x higher than industry benchmarks – Precise location, purchase, and intent data collected via vast direct InMarket SDK mobile app integrations and InMarket’s Owned & Operated app portfolio – All data is normalized to account for regular device updates and enhanced predictability – CCPA, GDPR, and HIPAA compliant while maintaining deep location attributes like visit frequency and dwell time – Verified for scale, always delivering the highest level of accuracy and precision **How We Do It** With advanced data science and machine learning capabilities, InMarket combines our unique first-party consumer data with up to 1,000 trusted third-party attributes to guarantee scale and targeting across all your multidimensional campaigns. With InMarket’s acquisition of NinthDecimal, InMarket’s Syndicated Taxonomy is more comprehensive than ever before. By combining the best of both data collection methodologies, InMarket delivers Audiences built upon the highest data quality standards–ensuring you hit your ideal customer, every time! **Predictive + Proprietary GeoType Audiences** InMarket leverages advanced algorithms and robust machine learning to perfect the art of predictive targeting. By combining precise location, real-time consumer survey, and purchase data with up to 1,000 trusted online and/or offline third-party attributes, you can reach customers on a personalized level based on their motivations, interests, and values. **Table Sample:** - Device_ID [MAIDs] - Audience_ID **Predictive Audiences Sample Fields Include:** - Device_ID - PostCovidTravel_BusinessTravelersDomesticTravel - PostCovidTravel_WeekendTravelersStaycation - PostCovidTravel_MilesDriven_StayAtHome - PostCovidTravel_MilesDriven_FarFromHome - PostCovidTravel_LocalTravelersBeach - PostCovidTravel_FarTravelersBeach -PostCovidTravel_OriginandDestinationTargeting_DomesticNewYorkLosAngeles - PostCovidTravel_OriginandDestinationTargeting_DomesticAtlantaNewYork **Table Sample:** Device_ID [MAIDs] Audience_ID **Proprietary GeoType Audience Sample Fields Include:** - Device_ID - Restaurants_HappyHourEnthusiast - Restaurants_Wealthy Not Healthy - RetailLifestyles_Business Travelers - Retail Lifestyles_Golfing Enthusiasts - AutoMidsizeSedansIntenders_HomeandFamily - AutoSubcompactIntenders_MiddleIncomeParents - Grocery_HealthyAndWealthy - Grocery_GenXHandymen ​​- Grocery_Snowbirds - Lifestyles_AffluentVacationers - BeerWineSpirits_WellHeeledEntrepreneurs ***Business Needs*** **Foot Traffic Analytics** Device foot traffic analysis by matching IDs to our Audiences. **Audience Segmentation** Target your ideal customers based on where they go and what they do in the real world. **Supported Use Cases** - Strengthen loyalty and competitive conquesting - Discover new high-intent consumers - Drive brand awareness and engage in real time - Maximize consumer lifetime value **Audiences Catalog:** https://go.inmarket.com/inmarket-audiences-catalog **Taxonomy:** https://go.inmarket.com/inmarket-audience-taxonomy **Note:** Data is delivered with RampIDs. Click “Request access” to contact LiveRamp, if you are not RampID enabled.

搜集汇总

背景与挑战

背景概述

该数据集提供预测性和专有地理类型受众，基于位置、购买意图和第三方属性，通过机器学习算法帮助识别目标客户。它覆盖美国近77%成年人口，数据合规且已验证准确性，适用于精准营销和受众细分。