Lookalike Audience Modeling

**Leverage the intelligence in your customer data to create high-quality audiences that resemble the customers you value most.** Demographic lookalikes that use your first-party data as a seed for modeling are a powerful tool to grow your advertising efforts while maintaining the quality of your audiences.

Deep Sync’s lookalike audience modeling utilizes a machine learning algorithm to generate demographically focused consumer profiles where matches can be made between the first-party data we ingest and our deterministic identity graph. These profiles inform the selection of consumers in the prospect universe with similar demographic attributes in the closest geographic distance to your current customers.

<p><br/></p>

## Expected Workflow:

- Share your customer data with Deep Sync via a Snowflake data share
- Deep Sync will build a lookalike audience using a machine learning algorithm
- The lookalike audience will consist of records from Deep Sync's own 260-million-record consumer dataset
- Output records will include confidence scores, and clients will be able to specify whether they want all lookalike records or a subset of lookalike records based on the provided score
- Deep Sync will return a secure share with confidence scores attached

<p><br/></p>

## Why Deep Sync?

Deep Sync is the industry leader in deterministic identity. Leveraging our 35-year foundation of compiling direct mail grade datasets, Deep Sync develops data-first technologies that power marketing, measurement, AI, and business intelligence for agencies and brands with our fully deterministic identity graph, privacy-first audiences, comprehensive data solutions, and integrations with leading platforms and cloud providers.

At the core of Deep Sync’s identity graph is our proprietary identity spine, a highly accurate, deterministic offline identity asset of more than 260 million direct mail-grade records that recognizes consumers and households across the United States. Our identity spine enables us to connect a variety of data assets into actionable audiences through the use of offline personal information with observed linkages to digital identifiers.

Deep Sync’s identity graph powers audience creation for our Lookalike Audience Modeling listing.

<p><br/></p>

## Additional Considerations - What Comes Next?

Following your Lookalike Audience Modeling, consider exploring Deep Sync’s Audience Activation for Meta and TikTok to target your lookalike audience online. We welcome you to contact our team at [e-mail] for additional assistance.

搜集汇总

背景与挑战

背景概述

该数据集通过机器学习算法分析客户种子数据，从2.6亿条消费者记录中生成具有相似人口统计特征的潜在客户群，包含置信度评分机制。依托Deep Sync的确定性身份图谱技术，可确保受众匹配的准确性，并支持后续的社交媒体广告投放。