Eyeota, a Dun & Bradstreet company and a global provider of audience data for the marketing and advertising industries, has announced the results of new campaigns tests as a part of its dual certification from independent data verification platform Neutronian and IAB Tech Lab.
Beyond meeting and exceeding the data privacy and quality standards for these certifications, Eyeota participated in a series of campaign tests facilitated by Neutronian to test the company’s certified high-quality data against non-certified data.
In collaboration with programmatic solutions provider Causal IQ, Eyeota’s campaign testing demonstrated that its certified privacy-first data outperforms non-certified data across several performance metrics. Eyeota segments delivered an 86% video completion rate in the travel category vs. 76% for non-certified segments. In the B2B telco space, Eyeota segments delivered a $.55 CPA vs. $5.00 for non-certified segments.
Kristina Prokop, GM of audience solutions at Dun & Bradstreet and co-founder of Eyeota, said particularly in times of economic uncertainty, the importance of data quality and knowing that your data investments can deliver results cannot be understated.
"Performance is the main driver of data decision-making, and testing data regularly and rigorously is essential to achieving excellence,” she said.
“Following our ranking as the number one provider in the world for data privacy, we’re proud to have our data acknowledged as high-quality and high-performance, no matter the industry – for business-to-business or consumer brands.”
Trent Lloyd, head of APAC at Eyeota, said Eyeota sees incredible value in independent data verification and working with leading industry players to certify that its data adheres to the quality, transparency, and collection standard that it claims.
“But it's not enough to demonstrate that our data adheres to standards. We want to show that those standards matter -- and that they pay off where it really matters: campaign results," he said.
The Neutronian certification and audit process is an in-depth review of a company’s data quality and privacy practices that explores consent and compliance, sourcing transparency, dataset characteristics, methodology, processing, and performance.
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