Merkury for Direct Mail Optimization
收藏Snowflake2023-03-06 更新2024-05-01 收录
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资源简介:
Merkury unifies customer and prospect PII data, site, app and media signals to a single, first-person ID. We enable addressable, personalized experiences across all channels and deliver enterprise identity for modern, data-driven marketing organizations.
Merkury's identity capabilities include:
- Input and output data sharing via Snowflake
- Resolution and hygiene of names, addresses, phone numbers, and email addresses to a single, persistent Merkury person ID
- Identifies anonymous website and app visits and resolve to Merkury person ID in real-time, with Merkury Tag, to create one ID across offline records and digital engagements and identify customers and prospects at a person level
- Performs real-time offline ID resolution, custom rules, and digital identity, and provides IDs and data back into source data management systems that feed mar-tech platforms like CDPs, ESPs
- Enables personalization at a total customer experience at person level, while also helping build and grow a "private", transparent, 1st-party identity universe
Hygiene and identity for direct mail optimizes deliverability PII-based list data for greater response.
Data Hygiene Services:
- U.S. Coding Accuracy Support System (CASS) certification
- U.S. Delivery Sequence File Second Generation (DSF2) processing
- U.S. Delivery Point Verification (DPV) processing
- U.S. LACSLink processing
- U.S. National Change of Address (NCOA) processing (48-month)
- Deceased identification
- Direct Marketing Association (DMA) do not mail identification
- Prison address identification
- Proprietary consumer change of address (PCOA) to extend beyond NCOA capabilities
- Proprietary address correction to extend beyond USPS address hygiene
- Merkle proprietary low yield identification to recognize low likelihood direct mail responders
Identity Services:
- Merkury Person ID assignment (for individual de-dupe)
- Merkury Household ID assignment (for household de-dupe)
Sample Tables Include:
- Identity Input
- Match Output
- Hygiene Output
Sample Fields Include:
- First Name
- Last Name
- Street Address
- City
- State
- Postal
- Suppression Indicators
- Merkury Person ID
- Merkury Household ID
Expected Workflow:
- Party reaches out to Merkle to discuss capabilities, options, processing terms, and pricing
- Merkle and Party agree on contractual terms
- Merkle and Party exchange processing details and set up Snowflake data sharing
- Merkle and Party begin processing data based on the agreed contractual terms
提供机构:
Merkle
创建时间:
2023-02-23
搜集汇总
数据集介绍

背景与挑战
背景概述
Merkury数据集通过统一客户和个人身份信息,为直接邮件优化提供数据清洗和身份识别服务。它支持实时ID解析、地址验证和去重,并通过Snowflake实现数据共享,以提升营销活动的精准性和响应率。数据集包含身份输入、匹配输出和清洗输出等示例表,涵盖姓名、地址、个人ID等关键字段。
以上内容由遇见数据集搜集并总结生成



