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25 results for category: Data Management

Why you really need a DMP in your marketing stack

Author Category Data Management

Show me your marketing stack and I’ll tell you whether you’re a smart marketer or not. Yes, it’s that simple. No tests, no questions, no vetting your past experience. Just show me the tools you use, and I’ll tell you whether you are a smart digital marketer or not. Because, you see, there’s one telltale […]

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How Can A DMP Help With Cross-Device Attribution?

Author Category Data Management

Cross-device attribution. These 3 words are responsible for headaches, missed opportunities, and ad waste for online advertisers and marketers everywhere. And while it’s true that cross-device attribution is hard, there is a solution, and like most solutions to today’s advertising and marketing problems, it involves data, in particular, a data management platform (DMP). How Can […]

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Using PII in a DMP: What Are the Implications?

Author Category Data Management

In case you hadn’t heard – data management platforms (DMPs) are all the rage these days. Optimizing media buying and monetizing audience data is more important than ever and a big part of that is personalization. But when it comes to using personal data – or Personally Identifiable Information (PII) – things get a bit […]

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3 Features You Need to Use PII in a DMP

Author Category Data Management

People are getting a bit jumpy about personal data these days. Just ask the poor folks at Yahoo who have had to announce not one, but two hacks of their email accounts over the last year. The result of such high-profile breaches is that people who never gave much thought about trusting a well-known brand […]

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3 Ways Publishers Can Benefit From A Data Management Platform (DMP)

Author Category Data Management

Data management platforms (DMP) have long been associated with companies & vendors on the buy side (e.g. DSPs and ad agencies), but they are increasingly starting to be adopted by those on the supply side, in particular, publishers. Below are 3 ways publishers can benefit from a Data Management Platform (DMP). 1. Increase The Value […]

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The Ultimate Guide to DMP Terminology

Author Category Data Management

Data management platforms (DMPs) are much like a lot of other new technology on the block – fabulously useful, but intimidating for those who are new to the game. Especially if they don’t know all the terminology associated with it. All the new jargon can seriously hinder new adopters from understanding a DMP’s usefulness. With […]

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What is Taxonomy in a DMP?

Author Category Data Management

There’s a popular joke among software developers and engineers that goes like this: There are two hard things in computer science – cache invalidation and naming things. In this post, we’ll be talking about the latter, naming things, in particular, otherwise known as taxonomy in a data-management platform (DMP). What is Taxonomy? Taxonomy is a […]

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Why First-Party Data is the Most Valuable to Marketers

Author Category Data Management, Data Privacy & Security

Marketers these days have a lot of data to choose from: 1st-party data, 3rd-party data, online data, offline data, transactional data, operational data. It’s almost as bad as being at an all-you-can-eat buffet – where do you start? Every kind of data mentioned above has its uses, advantages and disadvantages, but one stands out for […]

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DSP vs DMP vs DMP-DSP Hybrid: What’s the difference?

Author Category Data Management

Advertising veterans still remember the days when they would pick up the phone and call a publisher’s sales team and put in an order for an online media campaign. And while the direct, person-to-person way of purchasing and selling media still exists with large advertisers and publishers, most advertisers, agencies, and brands have turned to […]

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How Does Data Collection Work in a DMP?

Author Category Data Management

Most companies utilize multiple data-collection tools, including those that collect data from online sources (e.g. web analytics and marketing-automation platforms) and from offline sources (e.g. transaction systems). The fact that large amounts of data are collected from a variety of sources makes the gathering of all these data sets together in one place very important […]

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