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28 Mar 2026 06:05

Advertising & Marketing

For Marketers, Data Accuracy Beats Scale

For Marketers, Data Accuracy Beats Scale

For Marketers, Data Accuracy Beats Scale

For Marketers, Data Accuracy Beats ScaleMore Than 80% Say Accuracy is the Most Important Factor When Buying Audience Data

90% would use more data if they had greater confidence in its accuracy

Lotame , the leading independent data management platform (DMP), as well as the most trusted and comprehensive data exchange, announced the results of an in-depth, commissioned survey on audience data quality. For the study, 300 brand marketers that purchase or use audience data (1st, 2nd or 3rd-party) were polled regarding the state of data quality, data quality challenges, quality-control practices, and more.

“In this more established data market, scale is a given,” said Jason Downie, Chief Strategy Officer, Lotame. “As audience data’s importance continues to grow, sophisticated marketers are becoming more interested in the quality of data to ensure they are making the right business decisions while reducing wasted ad spend.”

Nearly 100% of Marketers View Audience Data as Valuable

Per the study’s findings, 90% of marketers view audience data as either “very valuable” or “somewhat valuable” to their marketing efforts, while only 10% say it is only “slightly valuable” or “not valuable at all.” But what data are they buying?

Respondents said that they purchase a range of data types, with the most popular being:

· Demographic (age, gender) (42%)

· Geographic (34%)

· Advanced demographic (household income, education, children) (28%) and interest (28%)

· 3rd-party (25%) and behavioral (25%)

· Social influencer (24%) and 2nd-party data (24%)

“With so many different needs and goals, there isn’t a one-size-fits-all data set that marketers can simply rely on,” said Downie. “It’s not surprising to see marketers investing in multiple data types for insights and activation.”

Age (76%) Most Popular Demographic Audience

Lotame asked marketers to rank their use of demographic audiences, such as age, gender, household income, education, and the number of children in a household.

· Age — 76% of marketers said they “always” or “usually” target by age.

· Gender — 61% said they target by gender “always” or “usually.”

· HHI — 50% said they “always” or “usually” target by household income.

· Education — 40% said they “always” or “usually” target this way.

· Number of Children in Household — 32% say they “always” or “usually” target by the number of children in the household.

“Age and gender are unsurprisingly the top demographic datasets that marketers leverage,” added Downie. “In addition to age and gender, for marketers seeking to deliver digital campaigns in an even more targeted way, it would benefit them to layer in other forms of audience data, like geolocation and behavioral.”

84% of Marketers Prioritize Accuracy

Per the study’s findings, only 20% of marketers who purchase or use demographic data are “very confident” of its accuracy, while 68% are “somewhat confident.” Meanwhile, 12% are either “slightly confident” or “not confident at all” in the accuracy of the data they purchase. That said, through this research, Lotame found that over 90% of marketers that purchase demographic data would use more data if they had greater confidence in its accuracy.

“Marketers now expect scale and are turning their attention towards the quality of data,” said Downie. “They want to be confident that the data they purchase will ensure that they reach their customers and help them make better business decisions.

In addition, accuracy was identified as the most important factor for those who purchase demographic data with 84% saying it was “very important” to their purchasing decisions, followed by price (55%) and scale (37%).

“Data sellers need to put in place rigorous quality control measures to ensure data’s quality and accuracy,” added Downie. “This means curated audience segments, leveraging a more robust verification process and using data science.”

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