Target Audiences with Specificity and Scale, Whether They Have Device IDs or not.

The deprecation of device IDs is a tectonic shift that is often downplayed by vendors who don’t have answers. There is far less addressable inventory than there used to be. That affects reach, relevance, cost and ROI. When iOS switched to an opt-in tracking model in April, 2021, targeting as we know it changed forever.

It's Time for Something Better.

Since the release of iOS 14.5, the opt-in rate for tracking remains low and stagnant. Alternative opt-in models will never produce the same scale as the old opt-out model. There's a better model...

The New, Durable Audience Model

Emodo audience segments include three components: Verified ID-based, predictive and contextual audiences. It’s that three-part model that makes our audiences so uniquely accurate and scalable.

The Scale and Addressability You Need Whether Devices Have IDs or not.

Device IDs and cookie-based inventory are waning. So too are the addressability and measurement capabilities you’ve relied on for years. First-party data and alternative opt-in solutions, like UID 2.0, have garnered attention, but the truth is they lack scale and are unable to target millions of devices. Users of those devices still see ads, but most are irrelevant.

Emodo Audiences are designed to deliver relevance at scale – whether devices have IDs or not.

ID-based audiences: We apply the industry’s best truth sets and ML algorithms to rigorously verify the accuracy and quality of ID-based audiences.

Predictive audiences: As more devices become un-trackable, they’re still highly addressable with Emodo Predictive Audiences.

Contextual targeting: Your parents’ “contextual targeting” was based on words on a page. Emodo uses a wide range of contextual signals to enhance the veracity of your chosen segments.

Let’s Talk About Emodo Audiences

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Target Audiences with Specificity and Scale, Whether They Have Device IDs or not.

The Scale and Addressability You Need Whether Devices Have IDs or not.

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