five

ID-free® Cookieless Targeting / Audience Extension

收藏
Snowflake2023-11-09 更新2024-05-01 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZT1ZGAPIR
下载链接
链接失效反馈
官方服务:
资源简介:
ID-free® Cookieless Targeting / Audience Extension Overview: In a post-cookie world, data-driven marketing demands innovation and a profound shift in how audience-based targeting is done. Dstillery’s ID-free® solution provides brands and other data owners with the ability to translate addressable data into an inventory buying model for activation across all major platforms. This patented modeling technology is powered by Dstillery’s Map-of-the-Internet, a 128-dimensional map of internet behavior built from opted-in digital panel data. This robust understanding of digital behavioral pattens allows Dstillery to quantify the behavioral intent behind every web visit on the internet Dstillery’s ID-free® solution allows you to maintain the precision and efficacy of your current audience targeting strategies without using identifiers at all, ensuring your campaigns continue to drive performance and ROI amidst cookie deprecation and rising privacy standards. IDs supported: * Dstillery ID * UID2 * Hashed Emails (HEM) SSPs supported: * Xandr Curate * OpenX Expected Workflow: * Snowflake customer shares 1PD from customer Snowflake account to Dstillery account * Inform Dstillery of activation platform along with Buyer ID where ID-free PMP should get pushed * Dstillery builds an ID-free model using 1PD * The ID-free PMP is generated and permissioned for your DSP seat * Dstillery will contact you and provide the name and PMP ID which will be available in your DSP and available for activation * Any model or targeting refreshes happen automatically within the existing PMP being targeted Tables Included: * 1 Percent Model File (Highest Precision) * 2 Percent Model File * 5 Percent Model File * 10 Percent Model File (Highest Scale) Fields Included: * Segment ID * Segment Name * Inventory
提供机构:
Dstillery
创建时间:
2023-11-09
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集提供ID-free®无Cookie目标定位和受众扩展解决方案,利用Dstillery的专利建模技术,将可寻址数据转化为跨平台库存购买模型。它支持多种ID类型和SSP平台,包含从1%到10%不同精度的模型文件,并涵盖Segment ID、Segment Name和Inventory等字段,以帮助品牌在隐私标准提升的背景下保持营销活动效果。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作