Ad Tech and Privacy

CDPs Can Deliver Bottom-Line Results — If Used as Intended

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A CDP won’t necessarily replace as many tools in the business’ tech stack as some business leaders might hope. We need to understand a CDP’s real capabilities and set reasonable expectations for their overall utility.

How to Organize and Maximize the Value of Customer Data

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We often hear that data is the oil of the digital economy. Very well — but how do companies acquire that resource sustainably and marshal it to reach new prospects and better serve existing customers?

The Future of Targeting Relies on the Right Data

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Ad targeting is about to undergo a seismic shift. In the not so distant future, marketers won’t select who is targeted. Rather, machines–powered by ML/AI–will determine the ads consumers see.

Brands, You May Be Using Privacy-Unsafe Audiences

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With all of the regulation and laws that have gone on the books, along with ongoing consumer concerns and industry initiatives, buyers probably think that everything they buy at this juncture must be “safe,” in that it’s compliant, vetted, and fully legal. Unfortunately, that’s not the case.

How SMBs Capitalize on Customer Data

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Small businesses have had to squeeze every bit of value out of their operations in the past year and are quickly realizing the importance of knowing their customers. Luckily, collecting and taking action on data doesn’t have to mean learning an entirely new skill set. 

Rather, it can be as simple as using the information that you already have, or could easily access, to improve the things that you’re already doing.

Improving Customer Insights and Targeting through Data Integration

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Businesses seeking to better reach their target audiences need the most accurate and up-to-date consumer data to inform their marketing strategies and meet their business goals. In fact, data-driven insights can literally make the difference between a hit or a miss when it comes to truly understanding audiences. But, as the sheer volume of collected data grows, the variety of collection methods, visualization formats, and management systems needed to organize and analyze this data can prove confusing and challenging. 

As most companies pull data from several internal and external sources — which can be time-consuming and tedious — the need for a simplified organization methodology is incredibly important. 

Enter data integration.