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Cint Verified Audiences - Free Match Test

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Snowflake2025-07-16 更新2025-07-17 收录
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Test your match rate against Cint Verified Audiences to confirm feasibility. Cint audience segments are built from fully consented and continuously verified data from millions of global consumers who enter our research platform each year to answer surveys. <p><br/></p> This free app allows you to determine **the count** of your user identifiers that match with the Cint Verified Audiences data. You can use identifiers such as: - Mobile Ad IDs (MAID) - Hashed emails (HEM - SHA256, SHA1, MD5) - IP addresses The underlying Cint Verified Audiences data attributes used for this matching process are refreshed **every two weeks** for HEMs and MAIDs, while IP Addresses are refreshed **daily** with information from **all countries supported by our platform**.<br/> <p><br/></p> If you choose to use our paid app available in the marketplace(Cint Verified Audience app), you can license this data. This will provide you with the following demographic attributes for each matched identifier: - Age - Gender - Household Income - Education - Employment - Industry - Parental Status - Relationship Status <p><br/></p> **Lookback Periods:** - For HEMs and MAIDs: 365-day lookback period. - For IP addresses: Configurable lookback period between 1 and 30 days (default is 2 days). <p><br/></p> # **How to Use: Manual SQL vs Streamlit App** Cint Verified Audiences - Free Match Test can be used in two ways, depending on your preference. Choose the method that best fits your workflow: - Use the Streamlit app for ad‑hoc exploration, trying different filters, and quick sanity checks without writing SQL. - Use manual SQL for precise, parameterised count queries, saving/sharing queries, and embedding counts in notebooks or dashboards. <p><br/></p> ## Manual SQL Usage You can interact directly with the application by calling the matching procedures in your Snowflake worksheet. <p><br/></p> **Setup Reference:** Before running any match, you must set up a reference to your table or view containing the identifiers (HEMs, MAIDs, or IP addresses). A reference is a pointer to a table or view in your Snowflake account that contains the identifiers you want to match (e.g., hashed emails, device IDs, or IP addresses). This step is required so the app knows which of your tables to use for matching.<br/> 1. Ensure your table/view contains the required column(s) for the identifier type: - For HEMs: columns named 'HEMSHA256', 'HEMSHA1', or 'HEMMD5' - For MAIDs: column named 'MAID' - For IP addresses: column named 'IPADDRESS' <p><br/></p> 2. Use the following SQL command to set the reference (replace '<database.schema.table>' with your actual table/view path): <p><br/></p> For Hashed Emails: ```javascript CALL core.update_reference( 'hems', 'ADD', SYSTEM$REFERENCE( 'table', '<database.schema.table>', 'PERSISTENT', 'references', 'select' ) ); ``` <p><br/></p> For Device IDs: ```javascript CALL core.update_reference( 'maids', 'ADD', SYSTEM$REFERENCE( 'table', '<database.schema.table>', 'PERSISTENT', 'references', 'select' ) ); ``` <p><br/></p> For IP Addresses: ```javascript CALL core.update_reference( 'ip_addresses', 'ADD', SYSTEM$REFERENCE( 'table', '<database.schema.table>', 'PERSISTENT', 'references', 'select' ) ); ``` <p><br/></p> 3. You can check if the reference is set by calling: ```javascript SELECT SYSTEM$GET_REFERENCE('hems'); SELECT SYSTEM$GET_REFERENCE('maids'); SELECT SYSTEM$GET_REFERENCE('ip_addresses'); ``` <p><br/></p> 4. If you need to change the reference to a different table/view, simply repeat the above steps with the new table/view. <p><br/></p> Important Notes: - Each reference must point to a table/view with the correct column name and type for the identifier. - At least 50 distinct identifiers are required in the referenced column for matching to work. - You can update or reset the reference at any time. <p><br/></p> <p><br/></p> **Get Match Count:** To get the count of matching identifiers, use: ```javascript CALL core.get_match_count('<IDENTIFIER_TYPE>'[, <IP_ADDRESS_AGE_IN_DAYS>]); ``` Where '<IDENTIFIER_TYPE>' is one of: - 'HEMSHA256' - 'HEMSHA1' - 'HEMMD5' - 'MAID' - 'IPADDRESS' Examples: ```javascript CALL core.get_match_count('HEMSHA256'); CALL core.get_match_count('MAID'); CALL core.get_match_count('IPADDRESS', 7); -- 7-day lookback for IP addresses CALL core.get_match_count('IPADDRESS'); -- default 2-day lookback ``` <p><br/></p> ## Using the Streamlit App A user-friendly Streamlit app is included for interactive usage. <p><br/></p> **Steps:** 1. Open the Streamlit app from the Snowflake Marketplace listing or your Snowflake UI. 2. Select the identifier type tab: Hashed Emails, Device IDs, or IP Addresses. 3. Setup the reference to your table/view using the provided button. 4. For Hashed Emails, select the encoding type: SHA256, SHA1, or MD5. 5. For IP Addresses, specify the maximum age (lookback period) in days for matching (default is 2, range is 1–30). 6. Click "Get Count" to see the number of matches. <p><br/></p> **Notes:** The Streamlit app provides a guided workflow for reference setup and matching. All matching operations performed in the app use the same backend procedures as manual SQL calls. <p><br/></p> **Privacy features** Cint Verified Audiences is built on the Snowflake Native App framework and runs entirely in your own Snowflake instance. Running a free match test with Cint Verified Audiences will not expose your identifiers to Cint or any other external users, meaning that your first-party data stays private.
提供机构:
Cint
创建时间:
2025-07-10
原始信息汇总

Cint Verified Audiences - Free Match Test 数据集概述

数据集基本信息

  • 提供商: Cint
  • 访问权限: 免费
  • 数据更新频率: 每两周
  • 覆盖范围: 平台支持的所有国家
  • 时间覆盖范围: 最近1年(事件型数据)

数据集描述

  • 用途: 测试用户标识符与Cint Verified Audiences数据的匹配率,以确认可行性。
  • 数据来源: 来自全球数百万消费者的完全同意和持续验证的数据。
  • 支持的标识符类型:
    • 移动广告ID (MAID)
    • 哈希电子邮件 (HEM- SHA256, SHA1, MD5)
    • IP地址

商业需求

  • 用户数据丰富化: 通过直接收集的消费者数据丰富客户画像数据。
  • 验证客户画像: 匹配客户数据与全球超过2.5亿用户的直接收集和明确同意的标识符。
  • 构建客户研究细分: 使用全球最大的研究市场创建自己的受众群体。

使用示例

  • 计算匹配标识符的数量: sql CALL core.get_match_count(EMAIL, SHA256); CALL core.get_match_count(EMAIL, SHA1); CALL core.get_match_count(EMAIL, MD5); CALL core.get_match_count(DEVICEID, NONE); CALL core.get_match_count(IPADDRESS, NONE);

隐私特性

  • 数据安全: 基于Snowflake Native App框架,所有操作在用户自己的Snowflake实例中运行。
  • 数据隐私: 运行免费匹配测试不会将用户标识符暴露给Cint或任何其他外部用户。

付费版本功能

  • 提供的人口统计属性(基于90天回溯期):
    • 年龄
    • 性别
    • 家庭收入
    • 教育
    • 就业
    • 行业
    • 父母状态
    • 关系状态

技术支持与联系

  • 销售支持: ds@cint.com
  • 技术支持: ds@cint.com

云区域可用性

  • AWS:
    • 非洲(开普敦)
    • 亚太(雅加达)
    • 亚太(孟买)
    • 亚太(大阪)
    • 其他45个地区

法律条款

  • 标准条款: 适用
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