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In theory, look-alike models are a no-brainer: you define a seed audience of existing high-value customers, then use that segment as a model to scale up your audience, reaching more people who are likely to convert.

That’s in theory.

In practice, achieving audience scale ­– without compromising on targeting – has been a challenge for marketers because their customer data is isolated from third-party data sets and technology platforms.

To multiply your reach in an intelligent, people-based and privacy-safe way, you need identity resolution. That’s what this slideshare is all about.

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