Declared Data 101

How to Achieve Omnichannel Personalization with Declared Data

Personalizing the customer experience across channels is a goal most brands covet, yet few actually achieve. What’s the secret to treating every customer like the unique individual they are? Continue reading to find out.

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Three Easy Steps to a Declared Data Strategy

Building a declared data strategy can seem intimidating at first, but it's a lot easier than you think. You might even say it’s as easy as 1, 2, 3...

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How Publishers Use First-Party Data to Drive Revenue

We illuminate three unique ways media companies are using first-party data to drive revenue.

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Three Ways Email Marketers Can Power Personalization with Declared Data

We did the work for you and simplified it down to three main ways you can power personalization with declared data. What is declared data? Check it out, it’s pretty cool.

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Validate and Enrich your Customer Profiles with Declared Data

The key to maximizing your relationships with customers relies on great customer profiles. How can you make sure those profiles are accurate and up-to-date? Declared data can help.

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How to Store and Activate Declared Data with Your CRM

The first step to a declared data strategy is collecting that data. The second? Storing and activating it via your CRM.

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Facebook Kicks Out Third-Party Data Vendors: How to Get Ahead with Declared Data Custom Audiences

It's a good thing that Facebook has cut our dependency on bad data. It's a nudge in the right direction, toward using custom audiences to target a more accurate audience.

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It’s Time to Get Personal: How Using Declared Data Can Rescue Your Email Personalization Strategy

A staggering 120.4 billion marketing emails are sent every day. How will you cut through the noise?

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It’s a Data Party: Taking a Deeper Look at Our Marketing Data

As marketers, we use data at every level, from determining Facebook targeting to timing a major product launch. But how often do we take a look under the hood at the quality and usefulness of our data?

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The Data Landscape

A two-minute overview of the four types of consumer data and their strengths and weaknesses.

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