The Transparency Trap: On Low Standards for ‘Transparency’ in the Data Market

Thanks to a number of transparency initiatives, the industry has reduced fraud, increased brand safety, and improved campaign ROI. However, when it comes to the data that drives those same campaigns, the industry is electing to adopt a different, narrower definition of transparency. The ad industry has inconsistent attitudes and expectations when it comes to …

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Seven Hard Truths About Location Data Accuracy

Before you choose the targeting data for mobile campaigns or any other location-powered objective, it’s good to have a few guideposts to help you narrow down the options. Jake Moskowitz provides seven proven norms that can bring clarity to key data expectations and decision factors in this article.

How the Ad Industry Encourages Poor Data Quality

Next time you’re selecting targeting data for a digital ad campaign, pick segments that have won awards for quality or received five-star user ratings. Makes sense: Data decisions guided by true quality tend to yield better results. Unfortunately, you can’t do that—there’s no such indicator. It’s time for the industry to get serious about data quality.

When Transparency Isn’t Enough

Whether the conversation is about brand trust, safety, engagement, marketing innovation, attribution or effectiveness, clean data is a prerequisite. Data is the foundation upon which marketing leaders are shaping their visions of tomorrow, but today’s advertising data is hardly foundation-worthy. The data that powers digital advertising is incorrect more than 45% of the time.