Acxiom Predictive Audiences

Acxiom Audience Propensities® are market-leading behavioral and attitudinal indicators based on known, actionable information and tied to shopping intent, attitudinal data, media behavior, etc. These unique indicators predict brand affinity and preferences, in-market interests and timing, and media viewing habits, allowing you to fuel powerful experiences and engagement.

Audience Propensities are designed to address the distinct nuances of a wide range of industries. Rooted in multidimensional insights from syndicated data partner relationships, Acxiom’s audiences are superior to other approaches that rely on a single attribute or attitudinal indicators. Our varied partners and expertise in ethical data collection methods yield superior predictive insights. With statistical confidence, Audience Propensities help predict answers to the most important marketing questions.

Choose from more than 3,500 prebuilt audience predictors, including:
- More than 300 automotive industry propensities including brand affinities, accessories, and packages
- More than 500 CPG propensities including consumable food and beverage preferences, pet products and beauty supplies
- More than200 insurance propensities including brand preference for auto, property, life and health as well as channel propensities
- More than 200 investment services attributes including assets, retirement savings and affinity for investing
- More than 900 retail propensities including purchase behavior, shopping propensities and brand affinities
- More than 150 technology category propensities including mobile wallet interests, consumer electronics brand affinities, wearables attitudes and behavior, and media usage

Why Acxiom Predictive Audiences?
- Increases the accuracy and predictive power of your marketing efforts
- Extends audiences when data coverage and scale are lacking
- Enables effective and timely messaging

搜集汇总

背景与挑战

背景概述

Acxiom Predictive Audiences是一个基于行为和态度指标的预测性数据集，提供超过3500个预建的受众预测器，覆盖汽车、消费品、保险等多个行业，用于预测品牌亲和力、市场兴趣和媒体习惯。该数据集通过多元数据合作伙伴关系和伦理数据收集方法，提升营销活动的准确性和预测能力，帮助扩展受众覆盖并实现及时有效的消息传递。