Look-alike Modeling

Extend your reach beyond your core customers and discover new, unique, high-value audiences from third-party data using our proprietary TraitWeight algorithm, powered by Adobe Sensei.


You can’t duplicate your best customers, but you can find more like them.

You need to keep finding new customers. But it’s hard to know where to focus your time and resources. And time really matters. You need to uncover these audiences before your competitors do. And you need to do it fast. The key lies in using your current customer data to locate others with similar attributes.

Look-alike modeling extends your reach by finding new high-value audience segments similar to your current customer base. Select a trait or segment, a time interval, and first- or third-party data sources. Our machine learning algorithm, TraitWeight, is powered by Adobe Sensei and looks for people or businesses in the data sources with the same traits. Next, we weigh and display the results based on which traits are closest to your base audience. You then can build accurate traits to expand your audience.

See what makes it work.

Speed
Start engaging new audiences quickly. You’ll find our new models are actionable much faster than our competitors.

Current and relevant results
The modeling process automatically runs at regular intervals to extract new value from your data so you always have the latest information at your fingertips.

Automation
Don’t spend time guessing at traits or segments, or managing a large set of static rules — the algorithm will find audiences for you.

Server-side discovery
Modeling works with server-side discovery and qualification processes that evaluate your data and the third-party data you have access to. This means you don’t have to see visitors on your site to qualify them for a trait.

Learn more about look-alike modeling in Adobe Audience Manager.

Pull back the curtain.

Read more about how look-alike modeling works in our Adobe blog.

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Find your next best customer.

Learn how to create your first lookalike model in our Help page.

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See related features

数据隐私控制

使用内部控制防止以可能违反数据隐私或用户协议的方式激活数据。您可以控制数据的使用方式并确定哪些数据源和目的地可以与个人身份信息相关联。

A/B 测试细分

将细分拆分为互相排斥的组,以根据您的 KPI 测试不同定向平台或算法模型的性能,从而确保您达到成功指标。

受众分析

通过 Adobe Analytics 的双向实时数据传输功能,获得无与伦比的客户智能。通过将两个来源汇集在一起,受众分析可提供更强大的整合报告,该报告可提供细分级别的绩效,以便实现更好的优化。


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